Each week, host and Zacks stock strategist Tracey Ryniec teams up with guest experts to break down the most compelling trends in stocks, bonds, and ETFs — and what they mean for investors’ everyday lives.
The era of the “Magnificent 7” may be winding down. Before that, investors rallied around the FANG stocks, which later evolved into FANGMAN. At one point, some pushed to include Tesla, transforming the group into the Magnificent 7.
Now, with several of those mega-cap names losing momentum, that once-dominant lineup appears to be fading.
Moving Past Apple and Microsoft
For years, mega-cap tech giants like Apple and Microsoft have led the market. But what if leadership shifts?
Tracey highlights five non–big tech companies that could emerge as the “new” magnificent stocks. All five are trading at fresh five-year highs and are projected to deliver double-digit earnings growth in 2026.
Are you prepared to look beyond Apple and Microsoft to discover the market’s next generation of winners?
5 New “Magnificent” Stocks to Consider for 2026
MasTec, Inc. (MTZ)
MasTec operates across communications, energy, and utilities infrastructure — positioning it as a potential AI infrastructure beneficiary. The stock has surged 225% over the past five years and is trading at fresh five-year highs.
While it has yet to report Q4 2025 results (due Feb. 26, 2026), earnings are projected to climb 61.8% in 2025 and another 28.6% in 2026. However, with a forward P/E of 33.5, the valuation is well above traditional value levels.
Does an infrastructure-focused growth name like MasTec deserve a spot on your watchlist?
Caterpillar Inc. (CAT)
Known for its construction and mining equipment, Caterpillar is benefiting from renewed infrastructure and development activity. Shares are up 262% over the past five years, also marking new five-year highs.
Earnings are expected to grow 18.9% in 2026. Yet, like MasTec, Caterpillar trades at a premium, with a forward P/E of 33.6.
Is there still upside ahead, or have investors already priced in the growth?
Walmart Inc. (WMT)
One of America’s largest retailers, Walmart has significantly expanded its online presence since 2020. The strategy appears to be paying off: shares have gained 164% over five years and sit at new highs.
Despite projected earnings growth of 11% in fiscal 2027, Walmart trades at a lofty 42.6 forward P/E — even higher than NVIDIA at roughly 25x.
Has Walmart become overheated, or is its transformation still underappreciated?
Eli Lilly & Company (LLY)
Eli Lilly, a pharmaceutical heavyweight, is riding strong momentum driven partly by its weight-loss treatments and an upcoming pill launch. The stock has soared 404% over five years, outperforming the S&P 500 and hovering near record highs.
Earnings are forecast to rise 39.6% in 2026. With a forward P/E of 30, Lilly isn’t cheap, but it’s more moderately valued compared to some peers.
Could healthcare leadership define the next “magnificent” cycle?
Howmet Aerospace Inc. (HWM)
Operating in aerospace and defense, Howmet has delivered one of the most remarkable runs of the group, climbing 798% over the past five years and reaching new all-time highs.
Earnings are projected to grow 18.8% in 2026. Still, its forward P/E of 56 signals a steep premium.
Can a high-growth defense supplier sustain its momentum at these levels?
Nvidia’s (NASDAQ: NVDA) $78bn revenue projection would once have sparked a broad rally in global equities. This time, investors paused.
The stock initially slipped before edging slightly higher in post-market trading. In this stage of the AI cycle, rapid expansion alone is no longer enough to impress the market.
Over the past two years, artificial intelligence exposure commanded a premium almost regardless of valuation. Capital flowed aggressively into the AI infrastructure layer, with Nvidia at the epicentre. Its chips became foundational to hyperscale data centres, sovereign digital strategies, and enterprise AI rollouts. Valuations climbed on expectations of sustained, exponential demand. Now, scrutiny has intensified.
A $78bn forecast confirms demand remains robust—but it also suggests expectations were already set near perfection. Markets are no longer rewarding size alone; they are evaluating the durability, quality, and profitability behind that growth.
Investors are calling for tighter operating discipline. They want clearer visibility on margins, pricing strength, and forward orders. Strong revenue growth does not automatically guarantee lasting shareholder returns when valuations assume near-flawless execution.
Nvidia’s competitive position remains strong. It continues to underpin the AI infrastructure ecosystem. Hyperscale cloud providers are spending aggressively, governments are advancing sovereign AI ambitions, and enterprise adoption is accelerating. The structural tailwinds remain intact.
What has changed is the market’s tolerance for uncertainty. Premium valuations now demand premium predictability—stable gross margins, resilient pricing power, and a more diversified revenue mix.
Markets are likely to scrutinise customer concentration, especially reliance on a limited group of hyperscale clients. They will question whether current capital expenditure by major cloud operators marks a cyclical high or the start of a sustained multi-year investment cycle.
Any indication that AI-driven capex is plateauing rather than accelerating could trigger disproportionate market reactions. Competitive pressures are also building. As large cloud providers ramp up in-house chip development, investors will increasingly assess how defensible Nvidia’s ecosystem remains amid the rise of alternative silicon architectures.
This shift does not negate the AI revolution — it sharpens its contours.
The implications stretch far beyond a single company. Semiconductor peers, advanced memory manufacturers, data-centre infrastructure providers and AI-centric software firms have largely traded in tandem with Nvidia’s rally. A more discerning market is now separating businesses that translate AI adoption into concrete earnings from those still priced primarily on long-term potential.
Dispersion within AI equities is likely to widen over the coming year. Infrastructure leaders with strong cash flow and resilient balance sheets may continue to attract support. By contrast, application-layer companies that have yet to prove sustainable monetisation could face heightened volatility.
Institutional investors are applying greater discipline to their assumptions. Portfolio managers who heavily overweighted AI leaders during the initial surge are revisiting long-term growth trajectories beyond peak deployment phases. Scenarios in which hyperscale spending moderates into 2027 are increasingly part of valuation models, with capital intensity and return on invested capital under renewed scrutiny.
AI companies are being assessed more like established enterprises than early-stage disruptors. Market psychology has matured.
For Nvidia, this phase could ultimately reinforce its leadership if operational execution remains strong. Consistent free cash flow, ongoing innovation cycles and deep integration across the AI value chain offer structural advantages. However, expectations have risen materially. Earnings announcements may drive sharper volatility as the scope for positive surprise narrows.
Markets are transitioning from thematic enthusiasm to detailed financial examination. Compelling narratives must now be backed by measurable precision.
The AI expansion is tangible. The capital investment is tangible. The demand is tangible. But investors are no longer rewarding mere participation in the theme — they are rewarding disciplined growth, sustainable margins and transparent capital deployment.
Nvidia’s $78bn revenue outlook affirms that large-scale AI expansion continues. The subdued market response underscores a parallel reality: momentum alone is insufficient to justify elevated valuations.
The next stage of the AI cycle will favour companies capable of turning market leadership into reliable profitability. Those that fall short may discover that even strong revenue growth offers limited insulation when expectations are already stretched.
Futures tied to the main U.S. stock benchmarks edged lower as investors focused on key earnings from the technology sector. Nvidia, a heavyweight in the U.S. equity market, delivered stronger-than-expected results, though investors are seeking clearer guidance on when its substantial cash flow will translate into greater shareholder returns. Salesforce shares declined after issuing a softer revenue outlook. Meanwhile, oil prices held steady ahead of crucial nuclear negotiations between U.S. and Iranian officials.
Futures Edge Lower
U.S. equity futures moved down Thursday as markets digested earnings from AI leader Nvidia.
As of 03:05 ET (08:05 GMT), Dow futures were down 122 points, or 0.3%, S&P 500 futures slipped 0.1%, and Nasdaq 100 futures also fell 0.1%. This followed gains across all major Wall Street indices in the previous session, when investors positioned ahead of Nvidia’s earnings release.
Sentiment had improved on renewed optimism surrounding artificial intelligence, marking another shift in what has been a volatile narrative around the emerging technology. The Nasdaq led prior gains as investors regained confidence that AI could eventually deliver broad economic benefits — contrasting with earlier concerns that new AI models might disrupt software firms and limit returns on heavy data center spending.
Remarks from Richmond Fed President Tom Barkin also supported equities, as he noted uncertainty over whether automation would significantly raise unemployment and suggested AI could instead improve labor market efficiency.
Nvidia Little Changed Despite Strong Results
Nvidia reported better-than-expected earnings for the January quarter and issued revenue guidance above forecasts for the current period, yet its shares were mostly flat in after-hours trading.
Some investors questioned whether the chipmaker is returning sufficient capital to shareholders. Yvette Schmitter, CEO of Fusion Collective, pointed out that while Nvidia generated $35 billion in cash during the fourth quarter, it returned just 12% to shareholders — sharply lower than 52% a year earlier.
She also raised concerns about reduced buybacks despite record cash generation, especially as Nvidia highlights strong demand for its sold-out Ampere chips.
These concerns echoed questions raised during the company’s earnings call, including from a UBS analyst who asked whether Nvidia plans to distribute more of the anticipated $100 billion in cash expected this year. CFO Colette Kress emphasized ongoing investment in the broader AI ecosystem, while CEO Jensen Huang underscored AI’s foundational role in the future of computing.
Salesforce Drops on Soft Revenue Outlook
Salesforce shares fell in extended trading after the company issued fiscal 2027 revenue guidance below Wall Street expectations, suggesting softer demand for enterprise software amid economic uncertainty and tighter corporate budgets.
The company projected full-year revenue between $45.80 billion and $46.20 billion, slightly below consensus estimates at the midpoint.
Salesforce continues to invest heavily in artificial intelligence to counter investor concerns that emerging AI models, such as those developed by startups like Anthropic, could erode demand. These pressures have contributed to stock volatility as the company works to defend its position within the software-as-a-service industry.
However, Salesforce raised its fiscal 2030 revenue forecast to $63 billion from $60 billion, citing expected growth from agentic AI offerings. Analysts at Vital Knowledge described the report as not flawless but “good enough,” highlighting strong AI product momentum, stable core performance, and solid cash flow generation.
Oil Steady Before U.S.- Iran Talks
Oil prices were largely unchanged Thursday, remaining near seven-month highs as markets prepared for a third round of nuclear discussions between Washington and Tehran.
Brent crude gained 0.2% to $70.84 per barrel, while U.S. West Texas Intermediate rose 0.2% to $65.62 per barrel.
U.S. representatives, including special envoy Steve Witkoff and adviser Jared Kushner, are scheduled to meet Iranian officials in Geneva as negotiations continue over Iran’s nuclear program. President Donald Trump has warned that failure to make meaningful progress could lead to serious consequences, raising concerns that prolonged tensions may disrupt supply from Iran, a key OPEC producer.
Gold Edges Higher
Gold prices ticked up as uncertainty surrounding U.S. trade tariffs bolstered safe-haven demand, with investors also monitoring developments in the U.S.-Iran nuclear talks.
Spot gold rose 0.6% to $5,196.55 per ounce, while U.S. gold futures dipped 0.5% to $5,200.54 per ounce.
Markets are also evaluating the implications of newly announced U.S. tariffs following a Supreme Court ruling that struck down President Trump’s sweeping reciprocal tariff measures. Attention now turns to upcoming U.S. economic data, including weekly jobless claims. So far this year, gold has remained supported by geopolitical tensions, central bank buying, and portfolio diversification trends.
U.S. PPI inflation data and Nvidia’s earnings will take center stage in the coming week.
Nvidia appears set to post another standout quarter.
Meanwhile, Intuit is confronting mounting fundamental and technical pressures ahead of its results.
U.S. equities closed higher on Friday after the Supreme Court invalidated President Donald Trump’s tariffs. Trump criticized the decision as a “disgrace” and said in a Truth Social post on Saturday that he would introduce a new 15% global tariff, just one day after announcing a 10% levy.
After Friday’s gains, the 30-stock Dow Jones Industrial Average finished the week up about 0.3%. The S&P 500 advanced 1.1%, while the tech-heavy Nasdaq Composite broke a five-week slide with a 1.5% surge. The small-cap Russell 2000 added nearly 0.7%.
Markets may see heightened swings in the days ahead as investors weigh prospects for growth, inflation, interest rates, and corporate earnings against a backdrop of renewed trade frictions.
With a relatively light economic calendar, attention will center on Friday’s January U.S. producer price index report. As of Sunday morning, traders are pricing in slightly better than even odds that the Federal Reserve will lower rates by its June meeting.
On the earnings front, Nvidia’s (NASDAQ: NVDA) report will headline the week as the season winds down. Beyond Nvidia, investors will be tracking several major tech names, particularly software companies facing pressure from concerns that AI could disrupt their core businesses, including Salesforce (NYSE: CRM), Intuit (NASDAQ: INTU), Snowflake (NYSE: SNOW), Zscaler (NASDAQ: ZS), and Zoom Video Communications (NASDAQ: ZM).
AI infrastructure providers Dell Technologies (NYSE: DELL) and CoreWeave (NASDAQ: CRWV) are also set to post results. Outside the tech space, prominent retailers such as Home Depot (NYSE: HD), Lowe’s Companies (NYSE: LOW), and TJX Companies (NYSE: TJX) are scheduled to report.
At the same time, markets will be parsing President Trump’s State of the Union address on Tuesday and monitoring any developments involving the U.S. and Iran.
No matter which way markets move, below I outline one stock that could attract buying interest and another that may face renewed downside pressure. Keep in mind, this outlook covers only the week ahead—Monday, February 23 through Friday, February 27.
Stock to Buy: Nvidia
Nvidia heads into its earnings report with analysts anticipating another “beat-and-raise” performance, fueled by robust demand for AI infrastructure. Fourth-quarter results are scheduled for release after Wednesday’s market close at 4:20 p.m. ET, followed by a 5:00 p.m. ET conference call with CEO Jensen Huang.
According to an InvestingPro survey, profit forecasts have been lifted 36 times in recent weeks, compared with just one downward revision—highlighting growing optimism around Nvidia’s earnings outlook. In the options market, traders are pricing in a potential move of roughly ±6% in NVDA shares following the announcement.
Wall Street expects the AI powerhouse to deliver earnings of $1.52 per share, up 71% from a year earlier. Revenue is forecast to climb 67% to $65.6 billion, underscoring the company’s ongoing strength in the AI chip space.
Citi recently suggested that January-quarter revenue could exceed $67 billion, with projections pointing to even stronger results in the April quarter.
Another solid showing in data-center sales, along with widening margins and healthy free cash flow, would bolster the view that Nvidia remains firmly in the midst—not at the tail end—of an AI supercycle.
NVDA shares ended Friday at $189.82, consolidating after a strong advance but still positioned to move higher on favorable catalysts. Across multiple timeframes—from intraday charts to the monthly view—technical indicators and moving averages continue to signal a “strong buy.”
A beat-and-raise report could ignite another leg up, particularly if management emphasizes longer-term visibility into 2026–2027 growth driven by next-generation architectures such as Rubin.
Trade Setup:
Entry: Near current levels (around $190)
Target: $210 (approximately 10% upside)
Stop-Loss: $184 (roughly 3.5% downside risk)
Stock to Sell: Intuit
Intuit—the parent company of TurboTax, QuickBooks, Credit Karma, and Mailchimp—heads into earnings week facing mounting pressure. Concerns have escalated in early 2026 that generative AI tools could weaken its competitive moat across tax prep, accounting, and financial software by enabling free or lower-cost alternatives, custom AI agents, or in-house solutions for small businesses and consumers.
This anxiety has fueled broader “SaaSpocalypse” sentiment, with the software sector shedding trillions in market value. INTU shares have been particularly hard hit in recent months, sliding sharply alongside peers such as Salesforce.
Analyst sentiment has also turned more cautious ahead of the report, with 23 of the last 25 estimate revisions moving lower—signaling growing skepticism around near-term performance.
Wall Street expects Intuit to post earnings of $3.68 per share, up roughly 11% year over year, on revenue of about $4.5 billion. The bigger concern, however, centers less on the headline numbers and more on the narrative surrounding AI-driven disruption.
Although Intuit has made significant investments in artificial intelligence, investors seem to view these efforts as largely defensive—designed to protect its existing franchises rather than meaningfully expand them or counter broader competitive threats. TD Cowen recently cut its price target, pointing to doubts about the strength of Intuit’s AI strategy and intensifying competition.
Any remarks about rising competitive pressures, decelerating growth in key segments, or conservative forward guidance could amplify downside risks—particularly in a stock that may be technically oversold but remains vulnerable in a sentiment-driven market.
Shares of Intuit have fallen 42.5% over the past three months and are now hovering just above their 52-week low of $375.40. Technical signals remain decisively negative: across timeframes—from hourly charts to the monthly view—both moving averages and momentum indicators continue to flash “strong sell.”
With management’s outlook likely to face intense scrutiny, any earnings miss or cautious commentary reflecting a more competitive, AI-driven environment could deepen the selloff.
The artificial intelligence trade faces its biggest test of the year this week as three cornerstone companies in the AI infrastructure ecosystem prepare to deliver quarterly earnings. With tech stocks showing signs of fatigue, investors want more than simple earnings beats. They’re looking for proof that heavy capital expenditure is translating into the successful deployment of next-generation hardware. All attention will turn to the after-market close (AMC) on Wednesday and Thursday to see whether the AI rally still has momentum.
NVIDIA: The undisputed AI infrastructure leader
NVIDIA (NVDA) is set to report fiscal Q4 2026 results on Wednesday, Feb. 25, after market close. As the dominant supplier of GPUs powering large language models, NVIDIA remains the clearest gauge of the AI trade’s health. Wall Street is anticipating a “beat and raise,” with consensus revenue estimates around $65.6 billion — an impressive 67% year-over-year increase.
Investors are especially focused on the production ramp of its Blackwell architecture chips. Any updates on supply chain constraints or the development timeline for the upcoming Rubin platform could influence not only tech stocks but the broader S&P 500. Options markets imply a potential 6.5% swing in either direction, making NVIDIA’s earnings the week’s must-watch event for global investors.
Hardware and cloud players: CoreWeave and Dell under the spotlight
On Thursday, Feb. 26, AMC, attention shifts to the physical backbone of AI infrastructure. CoreWeave (CRWV), a specialized cloud provider and key NVIDIA partner, will report against high expectations driven by its sizable revenue backlog. Analysts project Q4 revenue of roughly $1.53 billion, but the more significant figure is its $56 billion backlog — a forward-looking signal of how much computing capacity AI firms and tech giants are securing
Also reporting Thursday is Dell Technologies (DELL), which has repositioned itself as a major supplier of AI-optimized servers. Consensus forecasts call for earnings of $3.53 per share on $31.6 billion in revenue. Dell recently earned a spot on Evercore’s “Tactical Outperform” list, supported by a sharp rise in AI server orders and an $18.4 billion backlog exiting last quarter. The key question for Dell will be whether it can preserve margins while rapidly scaling production to meet surging demand for AI infrastructure.
After a powerful rally in large-cap technology shares, investors are once again asking whether smart money is beginning to rotate.
With AI enthusiasm pushing tech valuations higher and energy names still trading at comparatively modest multiples, there are early signs that capital flows may be shifting beneath the surface. Here’s a closer look at the current landscape — and where institutional positioning may be headed.
The Case for Tech: Structural Growth Still Intact
Companies such as Nvidia (NASDAQ: NVDA), Microsoft (NASDAQ: MSFT), and Apple (NASDAQ: AAPL) remain central pillars of institutional portfolios.
Technology continues to lead in earnings expansion, fueled by AI infrastructure investment, cloud migration, and ongoing software monetization.
Why capital is still favoring tech:
Revenue growth outpacing the broader market
High operating margins and robust free cash flow
Sustained AI-driven capex cycles
Strong balance sheets with significant liquidity
Mega-cap tech remains a structural core holding for institutional investors. Even during brief pullbacks, dip-buying has been persistent — a sign that long-term conviction in the sector remains strong.
That said, valuations in select segments have stretched beyond historical norms. If earnings momentum moderates, the probability of sector rotation increases, particularly as investors reassess risk-reward at elevated multiples.
The Case for Energy: Undervalued and Cash-Generative
Integrated majors such as Exxon Mobil (NYSE: XOM) and Chevron (NYSE: CVX) are drawing renewed attention as investors reassess sector allocations.
Energy equities typically trade in cycles influenced by crude prices, global demand dynamics, and geopolitical developments. After extended periods of relative underperformance, the sector often becomes a magnet for value-oriented capital.
Why institutional money may rotate toward energy:
Lower forward P/E multiples compared to technology
Strong and visible free cash flow generation
Dividend yields frequently above the broader market average
Ongoing share repurchase programs
If crude prices remain stable or trend higher, integrated oil majors can produce substantial cash flows, offering a mix of income, capital return, and relative defensiveness.
In an environment where parts of the technology sector appear valuation-stretched, energy provides a compelling contrast on both multiples and yield.
Sector ETF Signals: Tracking Institutional Flows
Sector ETFs can offer valuable insight into how institutional capital is rotating beneath the surface. Two key vehicles to monitor are the Technology Select Sector SPDR Fund (NYSE: XLK) and the Energy Select Sector SPDR Fund (NYSE: XLE).
ETF performance and fund flow data often act as real-time indicators of positioning shifts:
If XLK continues to outperform, it suggests growth leadership remains firmly in place.
If XLE begins to show sustained relative strength versus XLK, it may signal that rotation into energy is gaining traction.
Historically, sector leadership transitions tend to coincide with:
Shifts in interest rate expectations
Narrowing earnings growth differentials
Sharp moves in commodity prices
Monitoring the relative strength ratio between XLE and XLK can provide early confirmation of whether capital is merely rebalancing tactically — or whether a broader structural rotation is unfolding.
Macro Forces Driving Sector Rotation
1. Interest Rates Elevated yields tend to weigh more heavily on high-multiple technology stocks, as future cash flows are discounted at higher rates. In contrast, energy companies—often valued on nearer-term cash generation—can prove more resilient. If bond yields move higher, defensive value sectors may attract incremental capital at the expense of growth.
2. Commodity Prices Oil prices remain a primary earnings driver for energy producers. A sustained rally in crude can rapidly alter sector performance dynamics, drawing capital into integrated majors and upstream names as profit expectations improve.
3. Earnings Revisions Institutional allocation models closely track forward earnings revisions. If analyst upgrades begin to slow in technology while turning more constructive for energy, portfolio rebalancing flows may follow.
4. Risk Appetite Technology typically outperforms in strong risk-on environments characterized by abundant liquidity and growth optimism. Energy, by contrast, can gain relative strength during inflationary phases or periods of geopolitical tension, when commodity exposure and cash yield become more attractive.
What Institutional Capital Is Likely Doing Now
Rather than making an outright “either/or” shift, institutional investors typically adjust exposure more subtly. That can mean trimming extended technology positions, selectively adding energy holdings, or rotating within sectors—such as moving from mega-cap AI leaders into second-tier beneficiaries of the theme.
The real driver is relative earnings momentum, not headlines.
Which Sector Offers More Upside?
Tech Upside Scenario
Continued acceleration in AI-related spending
Consistent earnings beats from mega-cap leaders
Declining bond yields that support higher valuation multiples
Energy Upside Scenario
Oil prices establish a sustained uptrend
Inflation concerns re-emerge
Technology valuations compress
In the near term, technology remains the structural growth narrative, supported by AI infrastructure, cloud expansion, and software monetization. However, energy presents potential asymmetric upside if commodity dynamics shift in its favor.
Sector rotation is rarely abrupt. More often, it unfolds gradually through portfolio rebalancing rather than wholesale liquidation.
While tech continues to dominate leadership, energy’s relative valuation discount and strong cash generation could attract incremental capital if macro conditions evolve.
Key indicators to monitor:
Relative strength between the Energy Select Sector SPDR Fund and the Technology Select Sector SPDR Fund
Forward earnings revisions
Oil price trends
Bond yield movements
The critical question is not whether rotation will occur — but whether it is already quietly underway beneath the surface.
The AI-driven displacement trade weighed on multiple sectors this week.
Logistics companies were particularly pressured, with C.H. Robinson (CHRW) dropping more than 14% on Thursday amid AI-related concerns. The stock has fallen over 10% for the week.
Brokerage firm Charles Schwab slid starting Tuesday and is down roughly 9% over the past week. Its CEO told Bloomberg TV that management was “disappointed and surprised” by the sell-off, noting the firm is actively integrating AI to benefit clients.
Real estate services company CBRE sank sharply on Wednesday and Thursday, leaving shares down about 15.2% for the week. While AI-related concerns contributed to the decline, weaker-than-expected revenue in its latest earnings report also weighed on sentiment.
Applied Materials
Applied Materials is on track to finish the week higher, surging more than 8% Friday (as of 13:20 ET) after posting quarterly results.
The company exceeded consensus estimates and delivered strong second-quarter guidance. Brokerage Summit Insights upgraded AMAT to Buy, citing anticipated strength in wafer fabrication equipment (WFE) spending through the second half of 2026.
Pinterest
Shares of Pinterest tumbled more than 18% Friday following its post-close earnings release Thursday, bringing its weekly loss to over 22%.
The company reported fourth-quarter earnings and revenue below analyst expectations and issued first-quarter guidance that also missed consensus. Loop Capital analyst Rob Sanderson said that while Pinterest has a compelling platform and strong user growth, challenges in monetization and exposure to unusual macro conditions are overshadowing its strengths.
Sanderson downgraded PINS to Hold, noting it may take several quarters to complete its sales reorganization, manage higher spending, and rebuild investor confidence.
Cisco Systems
Shares of Cisco Systems dropped more than 12% Thursday following earnings.
Although Cisco beat profit and revenue expectations and offered upbeat guidance, investors reacted negatively to weaker-than-anticipated gross margins. UBS analyst David Vogt noted that higher memory input costs are expected to pressure margins over the next several quarters, lowering FY26 gross margin forecasts.
Unity Software
Unity Software plunged more than 26% Wednesday after earnings, with losses extending into Thursday and Friday. The stock is now down 21% over the past week.
While fourth-quarter results beat expectations, first-quarter revenue guidance disappointed investors. Despite that, Citizens analyst Andrew Boone maintained a positive stance, arguing that despite uncertainty around AI’s long-term impact, Unity’s platform remains essential for developers given the complexity of game creation and operations.
Oracle
After several weeks of declines tied to AI data center concerns, Oracle rebounded strongly, gaining more than 15% this week.
On Monday, DA Davidson analyst Gil Luria upgraded Oracle to Buy from Neutral. He suggested that a restructured OpenAI could reestablish itself as a leading challenger to Google and meet its commitments to Oracle this year, potentially removing a key overhang for the stock.
Key U.S. economic data—including the jobs report, CPI inflation, retail sales—and another round of corporate earnings will be in focus this week.
Cisco is expected to post strong earnings along with upbeat guidance, positioning the stock as a high-conviction potential outperformer in the near term.
By contrast, Moderna faces pressure from declining revenue and anticipated losses, leaving the stock vulnerable to downside risk this week.
Wall Street stocks surged on Friday, posting their strongest gains in months as the Dow Jones Industrial Average finished above the landmark 50,000 level for the first time.
The rally came after three consecutive sessions of declines driven by artificial intelligence-related concerns, with software stocks particularly pressured on fears that AI could intensify competition across the sector.
For the week, the benchmark S&P 500 and the tech-heavy Nasdaq Composite edged lower by 0.1% and 1.8%, respectively, while the 30-stock Dow Jones Industrial Average gained 2.5% and the small-cap Russell 2000 advanced 1.8%.
Volatility may remain elevated in the days ahead as investors weigh the outlook for economic growth, inflation, interest rates, and corporate earnings.
On the economic front, delayed December retail sales data is set for release on Tuesday. However, Wednesday’s postponed January U.S. jobs report could prove more influential amid mounting concerns over labor-market conditions. January CPI inflation data due on Friday will also be closely watched for further evidence on whether price pressures are truly easing.
Earnings season also rolls on, with a busy slate of high-profile results due in the coming days. Notable reports include Coca-Cola, McDonald’s, Ford, Cisco, Robinhood, Coinbase, and Arista Networks, alongside key software names such as AppLovin, Shopify, and Datadog.
Regardless of broader market direction, below I highlight one stock that is likely to attract buying interest and another that could face renewed downside pressure. Note that this view is strictly short term, covering the week ahead from Monday, February 9 through Friday, February 13.
Stock To Buy: Cisco
Cisco’s upcoming earnings report is the key catalyst for the stock this week, with the risk–reward profile appearing skewed to the upside. CSCO is set to report fiscal second-quarter results after the market closes on Wednesday at 4:05 p.m. ET.
Market expectations remain relatively modest, suggesting that even a small beat on revenue and earnings per share, coupled with steady or slightly optimistic guidance, could be enough to spark a post-earnings rally.
Analyst sentiment has been notably constructive heading into the release. According to InvestingPro data, 14 of the last 16 EPS revisions have been upward, underscoring growing confidence in Cisco’s ongoing expansion.
As a leading player in networking hardware, cybersecurity, and an increasingly important provider of AI infrastructure, Cisco is well positioned to capitalize on multiple tailwinds that could support a strong quarterly performance despite a mixed macroeconomic backdrop.
Consensus forecasts call for adjusted earnings per share of $1.02, representing a 9% increase from a year earlier. Revenue is expected to rise 8% year over year to $15.1 billion, supported by AI-driven demand and solid product sales.
Analysts see potential for longer-term upside from Cisco’s partnership with Nvidia to develop AI networking solutions for the enterprise market. Meanwhile, Cisco’s security segment underperformed in fiscal first quarter results despite the acquisition of Splunk, and investors will be watching closely for signs of a rebound in that business.
Cisco’s shares have been on a strong run, notching a string of fresh 52-week highs in recent sessions. The stock closed at $84.82 on Friday, underscoring solid momentum heading into the earnings release.
Valuation and sentiment also remain supportive. Cisco continues to trade at a reasonable earnings multiple relative to both the broader technology sector and its own historical averages, while offering an appealing dividend yield underpinned by robust free cash flow.
Trade setup:
Entry: Near current levels (~$84–85)
Target: $90–$95 (potential upside of ~5.8%–10.8%)
Stop-loss: $80 (downside risk of ~5.8%)
Stock To Sell: Moderna
Moderna, meanwhile, faces a tougher setup this week as it heads into its fourth-quarter earnings release scheduled for before Friday’s opening bell at 6:35 a.m. ET. Options markets are pricing in a sharp post-earnings swing of around ±16%, underscoring the heightened risk of a downside surprise.
After its blockbuster pandemic-era success with the mRNA COVID-19 vaccine, the biotech company has struggled with the transition from reliance on a single product to a broader—yet still largely unproven—development pipeline.
Analyst sentiment has turned increasingly cautious ahead of the report, with consensus sales estimates cut by roughly 14%, reflecting growing concerns over Moderna’s near-term revenue outlook.
Consensus expectations point to a sizable loss, with earnings per share projected at around –$2.62 on revenue of $662.8 million, representing a steep year-over-year decline of more than 30% from sales of $966 million.
Moderna is grappling with slowing revenue growth and a lack of near-term catalysts to counter weakening demand, as vaccine sales continue to fade.
At the same time, the company must maintain elevated spending on research, development, and manufacturing to advance a broad pipeline spanning respiratory viruses, oncology, and other therapeutic areas. This combination is weighing on near-term profitability and increasing pressure on cash burn.
Moderna’s share price has started to lose momentum after a strong recent rally, ending Friday at $41.01. While the stock remains up 67.1% over the past three months and 21.1% in the last month, last week’s 7% decline points to waning upside traction.
In a market increasingly favoring growth and AI-linked themes, high-beta biotech stocks like Moderna are vulnerable to rotation, particularly if earnings fall short or forward guidance disappoints.
Trade setup:
Entry: Near current levels (~$40–41)
Target: $35 (potential gain of ~15%)
Stop-loss: $45 (risk of ~12.5%)
Whether you’re a newer investor or an experienced trader, tools like InvestingPro can help uncover opportunities while managing risk in a challenging and fast-moving market environment.
Google plans to increase capital expenditures to as much as $185 billion this year, significantly exceeding market expectations of around $120 billion. Robust growth in search advertising and Google Cloud has provided Alphabet with the financial flexibility to pursue this aggressive investment strategy. According to Morgan Stanley analysts, the sharp rise in spending signals that AI is driving higher engagement and improved monetisation across Google’s core businesses, with search revenue climbing 17% and cloud revenue surging 48% in the most recent quarter.
Meta conveyed a similar message after projecting annual capital expenditures of $135 billion, supported by evidence that AI is enhancing advertising effectiveness. However, not all technology giants have been able to convince investors that rising capital spending is justified. Microsoft, for example, saw its shares fall sharply—erasing more than $350 billion in market value—after its cloud performance disappointed, even as its own capital investment ramped up.
Amazon is also under pressure to sustain strong growth at AWS while continuing to expand data-center capacity. In contrast, Alphabet’s sharply rising cloud backlog highlights growing demand for AI infrastructure and tools, lending credibility to its aggressive spending plans.
The trade-off, however, is immediate. Morgan Stanley estimates that Alphabet’s free cash flow per share could decline by 58% in 2026 and by as much as 80% in 2027 as higher capital expenditures flow through the business. In effect, the company is sacrificing near-term cash returns in exchange for longer-term strategic positioning.
Alphabet now stands at a crossroads. Strong advertising and cloud growth point to early benefits from AI investments, but the sheer scale of spending increases execution risk. If the added capacity delivers sustained revenue growth, the strategy will appear well-timed. If growth slows, Alphabet could face a thinner cash buffer and heightened expectations. For now, the company is betting that leading with investment is essential to staying ahead—and the market will be watching closely to see whether returns keep pace.
Stifel downgrades Microsoft to Hold, says it’s “time to pause”
Microsoft (NASDAQ: MSFT) saw a rare Wall Street downgrade this week as Stifel analyst Brad Reback lowered the stock to Hold from Buy, cautioning that expectations for fiscal and calendar 2027 appear overly optimistic. He cited ongoing cloud capacity constraints, rising capital intensity, and intensifying AI competition as key concerns.
Reback cut Stifel’s price target to $392 from $540, saying the stock may need a breather after its strong run. Persistent limitations in Azure capacity remain a major headwind. Given well-known supply issues, along with strong results from Google’s GCP and Gemini platforms and increasing momentum at Anthropic, Reback believes meaningful near-term acceleration at Azure is unlikely.
He also noted that revenue tailwinds from overlapping product cycles that benefited fiscal 2026 should fade, limiting upside in subsequent years. Meanwhile, investment spending is expected to surge. Stifel raised its fiscal 2027 capex estimate to roughly $200 billion, about 40% growth and well above the Street’s $160 billion forecast. As a result, Reback lowered his FY27 gross margin outlook to around 63%, versus a consensus near 67%.
Operationally, Microsoft is entering what Reback described as a new — though still efficient — phase of elevated spending as it builds and monetizes proprietary AI platforms, a shift likely to weigh on operating margin leverage. While Stifel remains positive on Microsoft’s long-term strategic position, Reback said near-term visibility has become less clear, arguing the stock is unlikely to re-rate until capital spending moderates relative to Azure growth or cloud demand reaccelerates meaningfully.
DA Davidson cuts Amazon as AWS cedes cloud leadership
DA Davidson downgraded Amazon (NASDAQ: AMZN) to Neutral from Buy, warning that the company is losing its leadership position in cloud computing and showing early strategic strain in an AI-driven retail landscape. The firm lowered its price target to $175, arguing Amazon is now playing catch-up through increasingly aggressive investment.
Analyst Gil Luria said AWS continues to trail Microsoft Azure and Google Cloud. While AWS posted 24% year-over-year growth, Google Cloud accelerated to 48%, and Azure grew 39% despite capacity constraints. Luria highlighted Amazon’s lack of a frontier AI research lab and the absence of a flagship partnership like Microsoft’s alliance with OpenAI as factors driving customer preference toward rivals.
Falling behind, he warned, is forcing Amazon into heavier spending, pointing to more than $200 billion in projected capex. Luria suggested Amazon may ultimately need to pursue a $50 billion OpenAI investment to remain competitive in frontier AI models. He also raised concerns that Amazon’s retail business could face a structural disadvantage in a chat-centric internet dominated by Gemini and ChatGPT, where merchants embedded directly in leading AI platforms may gain superior traffic and advertising leverage.
Wolfe sees massive long-term upside in Tesla robotaxis, but near-term pressure
Wolfe Research said Tesla’s (NASDAQ: TSLA) robotaxi platform could become a major long-term growth engine, estimating the business could scale to $250 billion in annual revenue by 2035 as autonomous adoption expands. Analyst Emmanuel Rosner described 2026 as a catalyst-heavy year, with investor focus on robotaxi rollout, Optimus production, and the launch of unsupervised full self-driving.
Wolfe’s model assumes 30% autonomous penetration, a 50% market share for Tesla, and pricing of $1 per mile, which could support roughly $2.75 trillion in equity value, or about $900 billion on a discounted basis. Additional upside could come from Optimus and FSD licensing.
Despite the long-term optimism, Rosner remains cautious on near-term fundamentals, sitting below consensus earnings estimates for 2026 and 2027. He expects margin pressure from higher costs, pricing dynamics, and changes in FSD monetization, along with heavy AI-related investment weighing on earnings. Still, strong momentum in Tesla’s energy storage business provides some offset, and Wolfe remains tactically constructive given the steady flow of upcoming catalysts.
Truist tells investors to “buy the dip” in AMD
Truist Securities reiterated a bullish long-term view on AMD (NASDAQ: AMD), urging investors to buy the weakness after the stock fell more than 14% over the past week to its lowest level since October 2025. Analyst William Stein said AMD continues to compound earnings at roughly a 45% CAGR through 2030, while trading at just 11x estimated 2030 EPS.
Although fourth-quarter results benefited from a one-off China-related dynamic, AMD still reaffirmed its outlook for 60% data-center growth and 35% overall sales growth, which management believes could drive more than $20 in EPS by 2030. Stein cited strong customer engagement, accelerating adoption of Instinct MI350 GPUs, and solid demand for fifth-generation EPYC processors as key drivers. Truist raised its 2027 EPS forecast and lifted its price target to $283, arguing long-term fundamentals outweigh short-term noise.
Jefferies warns Palantir valuation still has room to fall
Jefferies said Palantir Technologies (NASDAQ: PLTR) remains vulnerable to further downside despite a steep year-to-date decline of roughly 27%. Analyst Brent Thill emphasized that the call is based on valuation rather than fundamentals, noting that even after compressing from 73x to about 31x forward revenue, Palantir still trades at nearly double the valuation of other large-cap software peers.
While acknowledging improving fundamentals, expanding addressable markets, and strengthening competitive positioning, Thill argued that valuation risk outweighs operational progress. The stock’s premium leaves it highly sensitive to shifts in AI sentiment and broader software sector trends. Jefferies believes cooling enthusiasm could push Palantir toward more sustainable valuation levels, reiterating its Underperform rating and $70 price target, even after strong quarterly results failed to justify the stock’s elevated multiple.
Over the past year, market attention has largely centered on bitcoin’s price volatility and shifting investor sentiment. Headlines were dominated by discussions around regulation, adoption, and inflation. Meanwhile, a more subtle but potentially significant risk has been developing in the background: advances in quantum computing. Bitcoin has recently come under pressure as investors begin to factor in these concerns, prompting renewed debate over the cryptocurrency’s long-term security and durability.
Introduction
Rapid progress in quantum computing is raising fresh questions about the future security of blockchain-based systems. Bitcoin’s network depends on cryptographic algorithms to protect transactions and verify ownership, and researchers are increasingly examining whether sufficiently powerful quantum computers could one day compromise these safeguards.
These worries are no longer confined to academic circles. Christopher Wood, Jefferies’ global head of equity strategy, recently removed bitcoin from his model portfolio, citing the risk that breakthroughs in quantum computing could erode the cryptographic foundations underpinning the asset. He cautioned that any successful attack would call into question bitcoin’s credibility as a long-term store of value.
The Quantum Computing Threat
Quantum computing is widely viewed as the next major leap in computational technology. Traditional computers process information using binary bits—either a 0 or a 1. Quantum computers, by contrast, rely on quantum bits, or qubits, which can exist in multiple states simultaneously due to a phenomenon known as superposition. When combined with other quantum effects such as entanglement and interference, this capability allows quantum systems to solve certain classes of problems far more efficiently than classical machines.
Timothy Hollebeek, Industry Standards Strategist at DigiCert, offers a helpful analogy: classical computing is like navigating a maze by testing one route at a time, while a quantum computer can explore all possible paths simultaneously. This parallelism is what makes quantum computers especially powerful for tasks involving complex mathematics, including factoring large numbers and uncovering patterns within massive datasets.
Recent breakthroughs highlight the promise of quantum technology. Google’s quantum processor, Willow, reportedly completed a specialized computation in under five minutes—an exercise that would take classical supercomputers an impractically long time to finish. The chip is estimated to be roughly 13,000 times faster than the world’s most powerful traditional systems for that task. Achievements like this help explain why quantum computing is drawing growing interest across sectors such as healthcare, logistics, and materials research.
Still, despite the enthusiasm, quantum computing remains in its early developmental phase. Current systems face significant technical limitations. Qubits are highly fragile, must operate at temperatures close to absolute zero, and are extremely sensitive to environmental noise, which can introduce errors. Even in tightly controlled settings, sustaining a stable quantum state for more than a short duration remains challenging. For instance, Google’s Willow chip uses 105 qubits, whereas practical, fault-tolerant quantum computers would likely require thousands of reliably connected and stable qubits.
The rapid progress of quantum computing has prompted renewed scrutiny of the long-term security of cryptography-dependent digital systems, including cryptocurrencies. Because bitcoin’s architecture rests on assumptions about the limits of computational power, any transformative advance in computing naturally warrants closer evaluation.
The Real Threats That Could Undermine Bitcoin’s Value
“Quantum computers are not a matter of if, but when,” said Timothy Hollebeek, Industry Standards Strategist at DigiCert—a sentiment that helps explain why quantum advancements are increasingly viewed as a potential long-term risk to bitcoin’s security and valuation.
The most significant risk centers on Shor’s algorithm, a quantum method capable of compromising the elliptic curve digital signature algorithm (ECDSA) that bitcoin relies on to verify ownership of funds. Under today’s classical computing constraints, deriving a private key from a public key is computationally infeasible. However, in a future with sufficiently powerful quantum computers, this assumption may no longer hold. In theory, an attacker could extract a private key from its corresponding public key in a relatively short period, enabling unauthorized transfers of funds.
The quantum risk is not evenly spread across the bitcoin network. Roughly 25% of all bitcoins—more than 5 million BTC—are held in so-called “vulnerable” addresses, including early P2PK addresses and reused P2PKH addresses. This category also encompasses the estimated 1.1 million BTC attributed to Satoshi Nakamoto. These holdings are more exposed because their public keys are already visible on the blockchain, making them potential targets for quantum-enabled attacks. If even a fraction of these coins were moved by a quantum adversary, the resulting supply shock could be severe, shaking confidence in bitcoin’s ownership framework and placing significant downward pressure on prices.
Even newer address formats are not entirely risk-free under extreme assumptions. One commonly cited theoretical vulnerability involves transactions sitting in the mempool—the queue of unconfirmed transactions shared across network nodes. In this scenario, a sufficiently advanced quantum computer could detect a transaction before it is confirmed, derive the corresponding private key in real time, and submit a competing transaction that redirects the funds. Although highly speculative, this example illustrates how execution speed could become as critical as raw computational power.
Beyond outright theft, quantum computing could also erode trust in bitcoin’s neutrality and privacy. Through Grover’s algorithm, quantum-capable miners could gain a disproportionate advantage in proof-of-work mining, increasing the risk of mining centralization. If a single entity accumulated enough influence, it could censor transactions or reorganize blocks, undermining bitcoin’s decentralised ethos.
Another frequently cited risk is the concept of “harvest now, decrypt later,” where encrypted blockchain data is collected today with the expectation that future quantum computers could decrypt it. While this would not alter historical transactions, it could reveal identities behind pseudonymous wallets or expose past activity, weakening perceived privacy guarantees.
These technical risks are increasingly showing up in market behavior. By early 2026, quantum-related concerns had moved beyond abstract theory and begun to affect investor positioning. Bitcoin, for instance, lagged gold by roughly 6.5% year-to-date, while gold advanced about 55% over the same period. As a result, the bitcoin-to-gold ratio fell to around 19 BTC per ounce, signaling a more cautious stance toward bitcoin among investors.
Bitcoin Relative to Gold
How Bitcoin Could Be Compromised—and Why It Remains Resilient
At present, Bitcoin depends on elliptic curve cryptography (ECC)—specifically the secp256k1 curve—to generate public and private keys. Transactions are authenticated using ECDSA signatures, a system that is secure against classical computers but could be vulnerable to sufficiently advanced quantum machines. If that were to happen, both fund ownership and transaction integrity could be at risk.
One practical solution is the adoption of post-quantum cryptography (PQC), which is designed to withstand quantum attacks. Rather than requiring a complete overhaul of the network, PQC could be introduced incrementally, allowing vulnerable cryptographic components to be replaced over time.
Under a PQC framework, security would be reinforced through a three-layer defense. Kyber would protect communications between nodes and wallets, preventing interception or eavesdropping. Dilithium would handle transaction verification and safeguard private keys against quantum-enabled attacks. SPHINCS+ would ensure the integrity of transaction records, effectively giving each transaction a unique, tamper-resistant cryptographic fingerprint.
Bitcoin is not a static system. In January 2026, the first “Bitcoin Quantum” testnets began experimenting with post-quantum cryptography using NIST-standardised algorithms such as ML-DSA (formerly Dilithium). These trials demonstrated that quantum-resistant upgrades can be tested safely before any network-wide rollout. Such technologies strengthen transaction validation, data transmission, and record integrity, helping ensure bitcoin’s durability in a future shaped by quantum computing. Previous upgrades—including SegWit and Taproot—illustrate that bitcoin can evolve without disrupting network operations.
Resilience is not purely technical; it is also economic and social. A visible quantum-related attack would pose an immediate threat to bitcoin’s value, creating strong incentives for miners, developers, exchanges, and large holders to coordinate a rapid response. Historically, the network has shown an ability to converge quickly on practical solutions when facing systemic risks. Moreover, quantum computing is advancing incrementally, giving bitcoin ample time to prepare, test, and deploy defensive measures before the threat becomes acute. In this context, resilience is about managing technological change carefully rather than attempting to stop it outright.
Bitcoin’s robustness is rooted in both its architecture and its incentives. The network has no central authority, physical headquarters, or kill switch. Its ledger is maintained by thousands of independent nodes globally, eliminating single points of failure. A fixed supply cap of 21 million coins guards against monetary inflation, while the proof-of-work mechanism—secured by vast computational resources—makes large-scale attacks prohibitively expensive.
Widespread adoption further reinforces this resilience. By 2024, an estimated 500 million people held bitcoin or other cryptocurrencies, while institutional participation expanded through ETFs, hedge funds, pension funds, and even sovereign entities. As bitcoin becomes increasingly embedded in the global financial system, the economic and political costs of attempting to disrupt it continue to rise. Major stakeholders now have strong incentives to preserve long-term stability rather than undermine it.
Some observers, including Michael Saylor, have argued that a shift to quantum-resistant addresses could materially affect bitcoin’s market dynamics. If the network were to establish a migration deadline, coins held in legacy addresses—whose owners have lost access or passed away—could become permanently inaccessible. This would effectively remove millions of bitcoins from circulation, tightening supply and increasing scarcity. While the timing and market response remain uncertain, such a transition underscores the intricate relationship between technological evolution and bitcoin’s economic framework.
Conclusion
Quantum computing poses challenges that extend well beyond bitcoin, as many digital platforms and internet communications depend on the same public-key cryptographic systems that could eventually be vulnerable to quantum attacks. Nvidia CEO Jensen Huang has suggested that truly practical quantum computers may still be 15 to 30 years away, providing a meaningful window for industries to prepare and adapt.
In the meantime, leading technology firms are already moving to address these risks. Microsoft, for instance, is incorporating post-quantum cryptography (PQC) into its core software libraries and working alongside global standards organizations to develop quantum-resistant protocols for secure communications.
Together, these initiatives indicate that both the broader technology sector and the cryptocurrency ecosystem are actively planning for a post-quantum future, testing and deploying safeguards well ahead of the arrival of commercially viable quantum computers.
U.S. stock index futures slipped on Thursday evening, extending Wall Street’s losses as the selloff in technology shares showed little sign of abating. Amazon.com led declines after forecasting a sharp increase in capital expenditures for 2026.
Futures weakened after another steeply negative session on Wall Street, where technology stocks fell amid ongoing concerns over AI-driven disruption within the software sector. Investors were also unsettled by elevated spending across the industry, with Amazon’s outlook echoing similar guidance from other major tech firms. By 18:30 ET (23:30 GMT), S&P 500 Futures were down 0.5% at 6,789.25, Nasdaq 100 Futures slid 0.9% to 24,422.0, and Dow Jones Futures fell 0.3% to 48,857.0.
Amazon plunges 11% after projecting higher-than-expected 2026 capex
Amazon.com Inc (NASDAQ: AMZN) was among the biggest laggards in after-hours trading, plunging 11% following the release of its December-quarter earnings. The company projected capital expenditures of roughly $200 billion in 2026, far exceeding both last year’s spending and analyst estimates of about $146.1 billion.
Quarterly profit came in at $1.95 per share, narrowly missing expectations, while the outlook for the current quarter also fell short as the e-commerce giant factored in rising AI-related costs. Revenue from Amazon Web Services—the core of the company’s artificial intelligence strategy—climbed 24% to $35.6 billion, topping analyst forecasts.
Despite the strong AWS performance, investors were unsettled by the scale of the planned spending, amid growing uncertainty over when heavy AI investments will begin to generate meaningful returns. In sympathy, shares of Microsoft (NASDAQ: MSFT), Alphabet (NASDAQ: GOOGL), and Meta Platforms (NASDAQ: META)—all of which have recently outlined elevated AI spending plans for 2026—fell by as much as 3% in after-hours trade following Amazon’s results.
Wall Street declines again on heavy tech losses, weak employment figures
Wall Street benchmarks extended their decline on Thursday, led lower by the Nasdaq Composite, which fell 1.6%. The S&P 500 dropped 1.3%, while the Dow Jones Industrial Average slid 1.2%. Both the Nasdaq and the S&P fell to their lowest levels since late November and mid-December, respectively.
Technology stocks continued to be the main drag on U.S. equities, as investors grew increasingly concerned about elevated AI-related spending and the potential disruptive effects of artificial intelligence on the software sector. Additional pressure came from disruptions tied to AI’s heavy demand for memory chips. Qualcomm (NASDAQ: QCOM) tumbled 8.5% after warning about the impact of a global memory-chip shortage, while data from Counterpoint Research showed memory-chip prices have surged by as much as 90% quarter-on-quarter so far this quarter.
Broader economic worries also weighed on sentiment. Data from Challenger indicated that U.S. layoffs in January rose to their highest level since the 2009 financial crisis. Weekly jobless claims came in above expectations, while December job openings data also fell short of forecasts, reinforcing concerns about a slowing labor market.
Although signs of labor market weakness have raised expectations for additional Federal Reserve rate cuts, investors remained focused on the outlook for monetary policy under Kevin Warsh, President Donald Trump’s nominee to become the next Fed chair. Warsh has been perceived as a less dovish choice, a view that has also weighed on Wall Street sentiment.
Uncertainty surrounding AI is driving market volatility on several fronts. Beyond accelerating layoffs as AI replaces certain roles, software stocks continue to sell off amid concerns that rapid AI deployment threatens all but companies with strong client-relationship moats. At the same time, surging demand for large-scale data centers has boosted memory chipmakers, while early winners in other semiconductor segments are now facing valuation pressure. Meanwhile, advances in quantum computing are gaining traction and could fundamentally reshape the landscape if fully realized—particularly in the area of security, where quantum systems are widely viewed as capable of breaking existing encryption methods, including those used in blockchain technology. Despite the turbulence, the longer-term outlook still points toward meaningful gains in labor productivity and improved corporate profit margins.
This morning, the Dow Jones Industrial Average and the equal-weighted S&P 500 are the only major indexes trading in positive territory. Both the NASDAQ and the “Magnificent Seven” are now negative year to date. While the S&P 500 is up 0.9% YTD, the equal-weighted S&P has gained 4.6%, highlighting the underperformance of mega-cap technology stocks. The Dow is up 3.2%, and the Russell 2000 continues to lead with a 6.3% gain YTD, despite a 0.5% decline over the past week. Market volatility remains elevated, with the VIX jumping to 19.1 at the open from 18 previously and currently holding near 18.8.
Sector performance year to date shows Financial Services (-2.3%), Technology (-1.3%), and Healthcare (-0.5%) as the only groups in negative territory. In contrast, Energy (+15.6%), Basic Materials (+11.8%), and Consumer Staples (+10.5%) are posting double-digit gains.
Interest rates are little changed, with the U.S. 2-year Treasury yield at 3.57% and the 10-year at 4.27%. International yields are similarly flat. The U.S. dollar index is higher by 0.25 at 97.55, up 1.3% over the past week.
Precious metals are experiencing sharp swings today, with gold climbing as high as $5,113 per ounce before retreating to $4,939, while silver fell from $92.0 to $86.5 per ounce. Copper prices declined 2.7% to $5.92 per ounce. Energy markets are relatively quiet, with crude oil trading flat near $63.20 per barrel.
Cryptocurrencies continue to weaken, as Bitcoin has fallen 3.7% to $73.9K and is now down 26.4% over the last twelve months. Ethereum is lower by 4.2% and down 31% LTM. Even with the prospect of clearer regulation, many investors remain cautious given the sector’s persistent volatility.
On the earnings front, AMD delivered solid top- and bottom-line beats, but weaker-than-expected data center revenue and rising costs weighed heavily on the stock. Shares are down a sharp 15.9%—their worst session in years—bringing performance to -4.9% YTD, though still up 70.4% LTM, and sending ripples through the broader hardware space. The semiconductor sector is down 3.9% on the day, including a 3.1% decline in NVIDIA. In contrast, Eli Lilly posted a strong earnings beat, exceeded expectations on both revenue and profit, and raised guidance. Its shares are up 9.8%, now +2.6% YTD and +33.7% LTM. Investors are also looking ahead to Alphabet’s results tonight and Amazon’s tomorrow.
As trading continues, the Dow Jones Industrial Average and the equal-weighted S&P 500 are holding onto gains, while the NASDAQ has slid more than 1% and the Magnificent Seven is down 0.9%. The S&P 500 has dipped below 6,900, off 0.3%, and the Russell 2000 is down 0.8%. The ongoing pullback in technology stocks reflects elevated valuations and persistently high interest rates. Even so, the Dow and the equal-weighted S&P remain near record highs, the broader trend is still positive, and a rebound in tech following this correction would not be unexpected.
Tech just suffered a selloff of a different kind. This was not about rates, recession fears, or a routine earnings disappointment. It was the market catching its own reflection in the AI mirror—and flinching.
When confidence cracks, the Nasdaq does not rotate. It drops the floor. The S&P followed along, dutifully diversified in theory, while tech still steers the wheel.
The trigger was AMD, but the message was broader. In a fully priced bull market, “good” results are not good enough when investors have already paid in advance for perfection. When expectations stretch into the stratosphere, even a strong quarter feels like a letdown. AMD was not punished for weakness—it was punished for failing to deliver magic commensurate with the valuation it carried.
What followed was less about fundamentals than positioning. This was the market unwinding a narrative that had become too tidy, too crowded, too self-assured. When everyone leans the same way, even a minor wobble turns into a shove.
And the shove traveled fast. Once the story lost its grip, selling turned indiscriminate. Yesterday’s AI champions were treated like stale trades. Hardware names sank alongside software darlings. Picks, shovels, and miners all landed in the same risk bucket as investors dumped exposure wholesale.
This was never just a chip story. The real fault line runs through software—and it is psychological. The market is now entertaining a new fear: not that AI lifts all boats, but that it punctures the hulls of those that assumed they were unsinkable.
Software cracked first because belief ran deepest there. It was the cleanest narrative in the market—AI as a quiet margin expander, a tailwind that boosted earnings without disrupting the underlying structure. That assumption is now being dismantled in real time.
The uncomfortable inversion is coming into focus. The companies that digitized the fastest may also be the most exposed. AI is not arriving as a polite consultant. It is entering as a tireless shadow workforce—one that never negotiates, never sleeps, and learns faster than corporate hierarchies can adapt. And it writes code, too.
That is why this moment feels like a break, not a revision. When markets stop debating how much something earns and start questioning why it exists, prices do not drift lower. They fracture.
You can see it in the tape. This is not a careful repricing—it is an exit rush. One day the debate is about margins; the next it is about whether the product becomes a feature inside a larger model.
Once that fear enters the room, it spreads quickly across anything tied to monetized knowledge work—data platforms, marketing software, legal tools, analytics, even media and advertising adjacencies. If AI does the work, who gets paid for it? That is the question markets are stress-testing in real time.
For years, software earned its margins by controlling workflow—owning the screen, the process, the friction. Humans did the thinking; software rented them the tools and charged a recurring toll. Predictable. Scalable. Defensible. That doctrine is now under review.
Bitcoin and gold sliding alongside tech is telling. When risk sentiment turns, speculative layers lose sponsorship first. It is not ideology—it is mechanics. When leverage gets pulled back, froth goes first.
This does not mean tech is finished. It means tech is being tested.
Every cycle follows the same arc: markets fall in love with innovation, price it as destiny, then recoil when destiny arrives with disruption and bills. AI is no longer just a growth story—it is a competitive weapon. That creates winners and losers, not a rising tide. The trade is shifting from owning the theme to owning the survivors.
This is what a regime change looks like within a sector. Euphoria gives way to scrutiny. Momentum yields to forensic analysis. Markets stop paying for possibility and start paying for proof.
Ironically, the most technologically advanced firms often feel the shock first—they sit closest to the blast radius. If your business automates knowledge work and a universal automation engine shows up, you do not get to pretend the rules stayed the same.
Panic, of course, is rarely precise. Markets swing the hammer before identifying the nail. These moments tend to overshoot because fear moves faster than analysis.
This looks less like the end of AI and more like a narrative reckoning. The market is re-evaluating who captures value, who loses the toll booth, and who gets displaced.
AI is not killing tech. It is forcing tech to prove it has a moat—not just a story.
When markets stop buying dreams, they start auditing business models.
U.S. stock index futures ticked up slightly on Wednesday night after a weaker close on Wall Street, as technology stocks remained under pressure amid concerns over AI-driven disruption, while investors assessed Alphabet’s earnings report and new labor market data. S&P 500 futures rose 0.3% to 6,923.0, Nasdaq 100 futures advanced 0.4% to 25,088.75, and Dow Jones futures were mostly unchanged at 49,589.0.
Technology stocks extended their sell-off, while investors turned their attention to Alphabet’s earnings report.
In regular trading, the S&P 500 and the Nasdaq Composite fell 0.5% and 1.5%, respectively, as renewed selling pressure hit heavyweight technology and AI-related stocks. In contrast, the Dow Jones Industrial Average rose about 0.5% as investors shifted toward defensive and value names.
Technology and AI shares led the decline, extending a sector-wide selloff that has persisted into early February. Software and services stocks slid amid growing concerns that rapid advances in AI could disrupt traditional business models and squeeze margins for established companies.
Advanced Micro Devices was a key drag on market sentiment, with its shares plunging around 17% after the company reported earnings and issued guidance that failed to meet lofty market expectations. Although AMD pointed to strong AI-driven demand, investors focused on pricing pressures and intensifying competition in data centers, resulting in the stock’s sharpest one-day drop in years.
Focus also turned to Alphabet’s earnings after the close. The Google parent posted solid advertising revenue and reaffirmed plans for significant investment in AI infrastructure, but caution lingered over the near-term impact on profitability. Alphabet shares fell more than 1% in extended trading.
Meanwhile, Qualcomm shares slid nearly 10% after hours after the company forecast second-quarter revenue and profit below Wall Street estimates, citing a global memory chip shortage expected to weigh on smartphone sales and broader device demand.
U.S. private-sector payrolls rose by less than expected in January, signaling some cooling in the labor market.
Broader market sentiment was also influenced by economic data. Figures released on Wednesday showed private-sector employment increased by just 22,000 jobs last month, well short of the 50,000 gain expected, following a downwardly revised rise of 37,000 in December.
A brief government shutdown led to the postponement of the closely watched monthly jobs report, which had been scheduled for release on Friday.
Investors are now turning their attention to weekly jobless claims data due on Thursday, which should offer a near-term snapshot of labor market conditions ahead of the delayed nonfarm payrolls report.
The brief sense of relief following the easing selloff in metals quickly faded after news emerged that Anthropic—an AI startup backed by Amazon and Google—had launched a new AI tool capable of performing legal and research tasks traditionally handled via paid databases. The announcement rattled markets, sparking fears that AI-driven disruption is accelerating and threatening the core business models of software firms that provide data analytics and decision-support tools to law firms, banks, and corporations.
The result was a renewed bout of panic selling, particularly across software stocks. In Europe, RELX and London Stock Exchange Group plunged 14% and 12% respectively, while Thomson Reuters dropped 15%. Experian, Pearson, and Sage were also caught in the downdraft. In the US, shares of FactSet, Salesforce, and Adobe fell sharply, with Adobe sliding to its lowest level in nearly six years as concerns mounted that AI competition could severely undermine parts of its core business. Even tech heavyweights were not spared: Microsoft declined 2.87% and is now roughly 25% below its November peak.
Broader technology markets also weakened. VanEck’s Semiconductor ETF fell 2.5%, while Google—despite being one of the leading AI beneficiaries—slipped 1.22% after recently hitting a record high. The selloff spilled into Asia as well, with Tencent down around 3%. South Korea’s Kospi, however, largely avoided the turmoil, supported by continued strength in Samsung Electronics and SK Hynix amid tight memory supply and strong pricing power.
On the earnings front, AMD reported a solid beat, posting revenue above $10 billion and adjusted EPS of $1.53, both exceeding expectations. Growth was driven by robust demand for data-center and AI products, alongside solid performance in PCs and gaming. Despite impressive figures—including 39% growth in data-center revenue and 34% growth in PCs—and an upbeat message from CEO Lisa Su, the company’s outlook failed to meet elevated market expectations. AMD shares fell roughly 8% in after-hours trading.
Nasdaq futures are modestly lower at the time of writing, suggesting no immediate intensification of the software-led selloff. Still, recent earnings reactions highlight a broader issue: even companies delivering strong results are being punished, as investors demand ever-higher performance to justify stretched valuations.
Attention now turns to upcoming earnings from Google and Qualcomm later today, with Amazon reporting after Thursday’s close. By week’s end, markets may have a clearer picture of where the AI trade is headed. So far, enthusiasm has been muted—Meta, for instance, failed to sustain its post-earnings rally despite AI-driven revenue growth.
It increasingly appears that the AI rally is being unwound, largely irrespective of earnings strength.
Elsewhere, geopolitical tensions between the US and Iran escalated after reports that the US Navy shot down an Iranian drone approaching a US aircraft carrier in the Arabian Sea. That development pushed US crude prices up about 2.4%, with prices now consolidating just below $64 per barrel. While geopolitically driven spikes can offer short-term trading opportunities, risks remain skewed to the upside given the fragile situation.
Zooming out, gold has climbed back above $5,000 per ounce. In the past, this might have signaled a classic flight to safety amid equity volatility and geopolitical stress. Today, however, it is less clear whether this reflects genuine risk aversion or a rapid rotation from one crowded trade—AI—into another—metals.
Safe-haven options appear increasingly constrained. Gold remains volatile, US 10-year yields are elevated amid debt concerns and potential further Fed balance-sheet tightening, and the Japanese yen continues to struggle. USDJPY is testing its 50-day moving average near 156.30 and could push higher ahead of the weekend’s snap election. That leaves the Swiss franc, with USDCHF encountering resistance near 0.78. Meanwhile, EURUSD is gradually recovering after holding support near 1.1780, while sterling is consolidating above 1.37.
Both moves are largely driven by dollar dynamics. The dollar index has come under renewed pressure ahead of US labor data, though the Bureau of Labor Statistics has announced it will not release payroll figures this Friday due to a partial government shutdown. As a result, today’s ADP report takes on added significance and is expected to show roughly 46,000 private-sector job gains—a weak figure that would reinforce the view that US economic strength remains narrowly concentrated in AI-related investment rather than broad-based growth. This two-speed economy complicates the Fed’s policy outlook.
Soft labor data would likely support a more dovish Federal Reserve stance, which—absent policy shifts from the ECB or the Bank of England—could further bolster the euro and sterling against the dollar. I continue to expect EURUSD to move back toward, and ultimately above, the 1.20 level.
SpaceX, widely regarded as the most sought-after and richly valued private company, is widely expected to list publicly this year in what could become the biggest IPO on record. The Financial Times reports that the company aims to raise up to $50 billion, implying a valuation of roughly $1.5 trillion.
Why Everyone Wants a Slice of SpaceX
Elon Musk founded SpaceX in May 2002, predating his involvement with Tesla (NASDAQ: TSLA). Today, the company effectively dominates the global rocket-launch market, while its satellite internet unit, Starlink, is widely viewed as a major profit engine. Musk has said that SpaceX has generated positive cash flow for many years.
Like many marquee startups, SpaceX opted to stay private as institutional capital continued to flow in. More recently, Musk’s vision of building data centers in orbit has emerged as a key catalyst behind the company’s push toward a public listing.
SpaceX is not alone in pursuing solar-powered space-based data centers. Jeff Bezos’ Blue Origin is developing a competing concept, while Google (GOOG) is working on its own orbital data center initiative, known as Project Suncatcher.
Constructing data centers in space would require hundreds of billions of dollars in investment, with major technical challenges including thermal management, radiation shielding, and ultra-low-latency data transmission back to Earth.
By combining two of today’s most compelling investment themes—artificial intelligence and space—SpaceX has attracted intense investor interest.
Because SpaceX remains privately held, gaining exposure is difficult for most investors unless they are private equity firms, venture capitalists, or company employees. As a result, retail investors are increasingly seeking indirect exposure by investing in funds that hold SpaceX shares.
Baron Capital–Managed ETFs and Mutual Funds
Billionaire investor Ron Baron has long been a vocal backer of Elon Musk. According to a letter dated July 16, 2024, Baron has been steadily adding SpaceX shares each year since 2017 across his mutual funds and other investment vehicles.
The Baron First Principles ETF (NYSE: RONB) currently allocates roughly 16% of its portfolio to SpaceX. Launched just last month, the fund has already attracted about $124 million in assets.
Meanwhile, SpaceX represents 29% of assets in the Baron Partners Fund (BPTRX) and 19% of net assets in the Baron Focused Growth Fund (BFGFX) as of December 31, 2025. Both funds have delivered substantial outperformance relative to their benchmarks since inception.
Under SEC rules, open-ended funds are generally capped at 15% exposure to illiquid investments, defined as securities that cannot be sold within seven days without materially affecting their price. However, Baron funds no longer classify SpaceX as illiquid, citing the depth and activity of its secondary market, according to Bloomberg.
Entrepreneur Private-Public Crossover ETF (XOVR)
XOVR is the first exchange-traded fund to hold a private company. Although the fund revised its ticker and investment strategy in August 2024, it has continued to focus on entrepreneur-led businesses.
The ETF gained exposure to SpaceX last year through a special-purpose vehicle (SPV), a move that has coincided with a sharp increase in assets. However, as The Wall Street Journal has noted, SPVs can charge performance fees of up to 25%, raising questions about how such costs may affect the value of XOVR’s SpaceX stake.
There is also limited transparency around how the ETF determines the fair value of its SpaceX holdings, a requirement under SEC rules.
Driven by investor demand for indirect access to SpaceX, the fund’s assets have surged to more than $1.6 billion. NVIDIA (NVDA) and Meta Platforms (META) rank among its other largest holdings. Despite the inflows, the ETF has significantly lagged the S&P 500 over the past year.
What’s going on? On Monday, Needham upgraded AppLovin Corp (NASDAQ: APP) to Buy and set a $700 price target.
TL;DR: Needham turns bullish, lifting its 2026 ecommerce revenue forecast to $1.45B.
The full picture: Needham raised its rating after a deeper dive into AppLovin’s ecommerce business, strengthening its conviction in accelerating revenue growth by 2026—particularly as the stock has pulled back from last month’s highs. The firm views the recent weakness as a market mispricing, arguing that opportunistic advertisers are stepping in despite typical seasonal softness.
Needham increased its 2026 ecommerce revenue estimate to $1.45B from $1.05B, citing upcoming self-service launches that should expand the advertiser base and drive higher spending. This, in their view, could overpower usual Q1 seasonality and deliver sequential growth.
Even with the higher forecast, Needham sees further upside in a bull-case scenario—especially if AppLovin’s ecommerce trajectory begins to resemble TikTok’s rapid monetization curve, reinforcing the idea that in markets, replication can be a powerful catalyst for outsized returns.
American Axle
What’s going on? On Tuesday, BWS Financial launched coverage of American Axle & Manufacturing with a Buy rating and set a $17 price target.
TL;DR: AXL is merging with Dowlais, and the shares appear undervalued.
The bigger picture: American Axle & Manufacturing Holdings Inc. (AXL), which plans to rebrand as Dauch Corp. (NYSE: AXL), is nearing completion of its merger with Dowlais Group plc (DWLAF). According to BWS Financial, the deal will significantly diversify the business—expanding its automaker customer base, strengthening its global footprint, and broadening its product offerings. The combined company is expected to become a major force among auto suppliers, able to capitalize on greater scale, geographic reach, and meaningful operating efficiencies.
These advantages are projected to drive a sharp increase in free cash flow starting in 2027.
At the same time, AXL is adjusting its pricing and bidding approach to improve gross margins. While this strategy may weigh on revenue in 2025, it should support stronger cash generation. The analyst believes this near-term revenue softness has pushed the stock into deeply discounted territory.
Despite trading at valuation levels often associated with distressed companies, AXL remains profitable and continues to generate free cash flow. For investors searching for overlooked value opportunities, BWS Financial sees a compelling disconnect between fundamentals and the current share price.
Applied Materials
What happened? On Wednesday, Mizuho raised its rating on Applied Materials (NASDAQ: AMAT) to Outperform and lifted its price target to $370.
TL;DR: Mizuho expects stronger wafer fab equipment (WFE) growth and rising global capex to power further upside for AMAT.
The full story: Mizuho upgraded AMAT from Neutral with a $275 target to Outperform at $370, citing a much more favorable industry backdrop. As the world’s second-largest supplier of wafer fab equipment, Applied Materials is seen as a prime beneficiary of a powerful upswing in semiconductor capital spending across the U.S., Taiwan, and Japan.
The bank points to sharply improving WFE forecasts, with 2026 estimates now projected to jump 13% year over year, followed by another 12% increase in 2027—a dramatic acceleration compared with earlier expectations and a meaningful boost to AMAT’s earnings potential.
Core growth drivers include foundry and logic, which account for about 65% of revenue, supported by TSMC’s substantially higher capital spending plans for 2026–2028 versus 2023–2025, alongside a more constructive outlook for Intel’s tool purchases in 2026. On the memory side, DRAM—roughly 30% of revenue—stands to benefit from strong demand for high-bandwidth memory.
Concerns around China have also eased, as about 70% of AMAT’s revenue now comes from outside China, where growth is accelerating. With global WFE momentum building and major customers like TSMC and Intel increasing investment, Mizuho believes the setup strongly favors AMAT and justifies the Outperform call.
First Solar
What happened? On Thursday, BMO Capital Markets cut its rating on First Solar (NASDAQ: FSLR) to Market Perform and set a $263 price target.
TL;DR: BMO turns cautious on FSLR, citing competitive risks from Tesla and concerns that rising capacity could pressure module pricing.
The full story: BMO downgraded First Solar amid growing uncertainty around Tesla’s expanding solar ambitions. The firm questions how much of Tesla’s excess module capacity—given its proven ability to scale clean-energy platforms such as energy storage systems and inverters—could spill into the broader market rather than being used internally.
With U.S. utility-scale solar demand running at roughly 45–50 GW per year, First Solar’s 14.1 GW of capacity, alongside T1 Energy’s 2.1 GW (with potential expansion to 5.3 GW), could face intensified competition if Tesla moves toward its stated 100 GW capacity goal. Such a scenario could weigh on long-term module pricing or leave a persistent overhang on FSLR shares.
BMO notes that the bullish case for First Solar depends heavily on elevated U.S. module average selling prices (ASPs). However, after the stock’s 56% gain over the past 12 months, valuation now implies module pricing of about $0.29 per watt, even as backlog pricing sits closer to $0.30–$0.33 per watt. Earlier analysis suggested prices could climb into the high-$0.30s or low-$0.40s if Section 232 tariffs on polysilicon imports tightened supply—each $0.01 per watt increase potentially adding $23 per share in value.
That upside, however, may be tempered by a recent presidential order on semiconductors that includes exemptions for data centers, an area where Tesla could focus its solar deployments, potentially easing pressure from polysilicon-related restrictions.
Taken together—rising industry capacity, uncertain pricing durability, and Tesla’s looming presence—BMO sees limited justification for sustained pricing optimism and adopts a more neutral stance on First Solar.
Broadcom Inc.
What happened? On Friday, Wolfe Research upgraded Broadcom (NASDAQ: AVGO) to Outperform and raised its price target to around $370–$400.
TL;DR: Stronger expectations for TPU-driven AI growth led Wolfe to lift its outlook for Broadcom.
The full story: Wolfe Research upgraded Broadcom to Outperform, citing accelerating demand tied to the AI buildout—particularly from Google’s Tensor Processing Units (TPUs). Channel checks suggest TPU deployments could reach 7 million units by 2028, and Alphabet’s decision to offer TPUs to external customers is seen as creating a credible alternative to Nvidia’s ecosystem. Wolfe views Broadcom as the primary beneficiary of this shift.
As a result, the firm raised its long-term forecasts, projecting CY27 revenue of $154.5 billion and EPS of $16, implying a valuation of roughly 21x earnings. Additional upside could come from AI accelerator (XPU) programs at companies like Meta and OpenAI that are not yet fully reflected in estimates.
Wolfe also revised its AI ASIC revenue outlook higher, estimating $44 billion in CY26 based on 3.3 million TPU shipments, rising sharply to $78.4 billion in CY27 on 5.1 million units. TPUs are expected to account for the bulk of this growth, with other AI projects contributing smaller portions. Networking revenue is forecast to jump 75% to $15.1 billion in CY26, followed by 55% growth in CY27, while non-AI semiconductor and software segments are expected to remain relatively stable.
From a valuation standpoint, Wolfe argues the stock remains attractive. Its base case of $16 EPS in CY27 suggests room for multiple expansion, while a bullish scenario—with AI revenue doubling again—could push earnings toward $18 per share. Wolfe’s upper-end target reflects a valuation below Broadcom’s three-year average multiple of around 25x since the AI cycle began, reinforcing its positive stance on the stock.
After spending months in the doldrums, Meta Platforms appears to have reshaped the narrative around its business. The Magnificent Seven stock slumped 11% in October following its third-quarter earnings release, as investors grew increasingly concerned about runaway spending on artificial intelligence.
That skepticism now looks to be fading after Meta’s fourth-quarter 2025 earnings report, released on Jan. 28. Shares climbed roughly 8% in after-hours trading by 7:00 p.m. ET, prompting investors to rethink the company’s outlook, with growth prospects increasingly overshadowing prior worries about spending.
Meta delivers strong earnings beat and upbeat guidance
In the fourth quarter, Meta reported revenue of $59.9 billion, representing growth of about 24% and comfortably exceeding expectations of $58.3 billion, or 21% growth. Adjusted earnings per share (EPS) came in at an impressive $8.88, up nearly 11% year over year and well above the consensus estimate of $8.16.
The standout highlight, however, was Meta’s guidance for the first quarter of fiscal 2026. At the midpoint, the company forecasts revenue of $55 billion, far surpassing analysts’ expectations of $51.3 billion.
This outlook implies quarterly revenue growth of roughly 30%, which would mark Meta’s fastest expansion rate since the third quarter of 2021. Such an acceleration is precisely what investors had been hoping for and offers further confirmation that the company’s investments in artificial intelligence are beginning to pay off.
Among Meta’s underlying performance metrics, growth in ad impressions delivered was particularly notable. The measure, which tracks the number of ads shown across Meta’s platforms, rose 18% during the quarter—its strongest pace in nearly two years. Chief Financial Officer Susan Li attributed this performance to robust user engagement and growth, highlighting that watch time on Instagram Reels increased 30% year over year, signaling a meaningful rise in platform engagement.
Stronger engagement is an encouraging signal for Meta, indicating that its AI-driven recommendation and ranking algorithms—responsible for determining what content users see and when—are becoming more effective. As these systems improve, users spend more time across Meta’s platforms, enabling the company to serve a greater volume of advertisements.
Markets shrug off higher-than-expected spending outlook
Expectations of sharply higher capital spending have been the key drag on Meta’s shares in recent months. Against that backdrop, the company’s latest CapEx guidance came in well above even elevated market expectations.
Meta now projects capital expenditures of $115 billion to $135 billion in 2026, compared with Wall Street estimates of roughly $110 billion. At the midpoint, this implies a 73% jump from 2025 CapEx of $72.2 billion.
In addition, Meta guided for total expenses of $162 billion to $169 billion in 2026, materially higher than consensus forecasts of around $150 billion.
Reading between the lines, however, reveals a crucial detail in Meta’s 2026 outlook. Management stated that “despite the meaningful step up in infrastructure investment, in 2026, we expect to deliver operating income that is above 2025 operating income.”
Since revenue equals operating income plus total expenses, this guidance allows for an implied revenue estimate. Meta generated $83.3 billion in operating income in 2025, and using the upper end of its 2026 expense guidance at $169 billion implies potential full-year revenue of roughly $252.3 billion.
That figure would represent about 25.5% growth from Meta’s 2025 revenue of $201 billion—well above the approximately 18.3% growth rate analysts had been projecting for 2026.
Growth eclipses spending concerns as Meta’s AI strategy gains traction
Although Meta’s expense guidance initially appeared to be the primary concern for investors, the company ultimately rose above those figures with exceptionally strong growth projections. While critics continue to argue that Meta has yet to produce a best-in-class general-purpose AI model, the company’s financial performance tells a compelling story.
Meta’s AI strategy is proving effective, driving faster growth in its core business of social media advertising. After a challenging stretch, Meta Platforms appears to have delivered precisely what was needed to restore investor confidence.
U.S. stock index futures slipped slightly on Thursday evening after Wall Street ended mostly lower, as weaker-than-expected results from Microsoft rekindled doubts over the returns on heavy AI spending, while investors absorbed a wave of other corporate earnings.
S&P 500 futures dipped 0.3% to 6,975.0 points, Nasdaq 100 futures declined 0.3% to 25,916.75 points, and Dow Jones futures also fell 0.3% to 49,049.0 points by 19:36 ET (00:36 GMT).
Wall Street dips as Microsoft’s slide weighs; Apple earnings take center stage
The S&P 500 and NASDAQ Composite closed Thursday’s regular session on a weak note, with technology stocks among the session’s biggest laggards.
Shares of Microsoft Corporation (NASDAQ:MSFT) plunged 10% after the company’s quarterly earnings highlighted slower cloud revenue growth and record AI-related spending, failing to reassure investors about near-term returns.
Microsoft’s selloff dragged down broader technology sentiment, with software peers including ServiceNow Inc (NYSE:NOW) and SAP (NYSE:SAP) also posting steep declines following disappointing earnings and outlooks.
Investors were also focused on Apple Inc.’s (NASDAQ:AAPL) earnings released after the close, which topped expectations as strong iPhone demand and a recovery in Greater China boosted both revenue and profit.
Apple reported roughly $143.8 billion in revenue and earnings per share well above consensus estimates, sending its shares up nearly 1% in after-hours trading.
SanDisk jumps on earnings beat; Trump backs spending agreement
Elsewhere on the earnings front, shares of SanDisk Corporation (NASDAQ:SNDK) jumped 16% in after-hours trading after the storage-chip maker posted a strong profit beat and lifted its outlook, driven by stronger-than-expected demand for data-center and AI-focused memory products.
By contrast, Visa (NYSE:V) shares edged lower despite surpassing first-quarter earnings and revenue forecasts, as investors focused on weaker-than-expected transaction volumes and ongoing caution surrounding broader consumer spending.
On the political side, President Donald Trump voiced support for a bipartisan spending agreement crafted by Senate Republicans and Democrats aimed at avoiding an imminent government shutdown, expressing his backing on Truth Social and calling for cooperation.
The deal would provide funding for most federal agencies while deferring divisive immigration issues for future negotiations.
Jefferies says Microsoft’s recent pullback presents an attractive entry opportunity
Jefferies analyst Brent Thill wrote this week that the recent pullback in Microsoft Corporation (NASDAQ: MSFT) shares has created an attractive buying opportunity. He highlighted the company’s expanding backlog, deepening AI partnerships, and continued strength in cloud computing as the foundations of a robust multi-year growth outlook among large-cap technology names.
Thill noted that the stock has declined about 18% since the first fiscal quarter, despite Microsoft disclosing roughly $250 billion in commitments to OpenAI and an additional $30 billion linked to Anthropic. He added that Microsoft’s current valuation—around 23 times calendar-year 2027 earnings—now trades below that of Amazon and Google, even though Microsoft offers what he sees as superior earnings visibility.
According to Thill, Microsoft’s record level of contractual commitments is the primary catalyst for buying at current prices. He expects second-quarter remaining performance obligations to show the largest sequential increase on record, driven largely by the OpenAI and Anthropic agreements, which he says provide “unprecedented multi-year demand visibility.”
Azure remains a central source of upside. Thill described Azure demand as constrained by supply rather than demand, noting that Microsoft plans to double its data-center capacity over the next two years. After beating Azure revenue guidance for three straight quarters, he believes that execution on new capacity alone could push results above consensus expectations for both fiscal second-quarter Azure performance and full-year 2026 forecasts.
The analyst also pointed to accelerating AI monetisation from Copilot and other first-party products. With Azure representing roughly 30% of total revenue, he said sustained outperformance in the cloud business could push overall revenue growth into the high-teens.
Although Thill acknowledged ongoing capacity constraints and elevated capital expenditures, he believes Microsoft is well positioned to generate meaningful upside to both revenue and earnings through fiscal 2026.
Analyst upgrades Google to Strong Buy as AI stack accelerates
Earlier this week, Raymond James upgraded Google parent Alphabet (NASDAQ: GOOGL) to Strong Buy, arguing that the company is entering a phase in which its AI stack is “shifting into high gear,” creating the conditions for meaningful upward revisions to medium-term forecasts.
Analyst Josh Beck said updated bottom-up analysis across Search and Google Cloud Platform (GCP) led him to raise his 2026 and 2027 estimates, with his 2027 revenue projection now exceeding broader Street expectations. He believes Alphabet is “entering a cycle of strengthening AI stack momentum and upward estimate revisions that could produce one of the highest-quality top-line AI acceleration stories in the public markets.”
Beck added that in 2026, the AI stack narrative and related forecast upgrades are likely to become the primary performance drivers among mega-cap internet stocks, rather than a simple mean-reversion trade.
Within Cloud, Beck projects GCP revenue growth of 44% in 2026 and 36% in 2027, ahead of consensus. He attributes this to strong momentum in infrastructure and platform services, underpinned by large-scale TPU and GPU deployments and increasing adoption of the Gemini API and Vertex AI.
By the end of 2027, Beck estimates that GCP could generate approximately $25 billion in annualised revenue from TPUs, around $20 billion from GPUs, about $10 billion from the Gemini API, and roughly $2.5 billion from Vertex AI.
In Search, Beck projects revenue growth of 13% in both 2026 and 2027—above broader Street expectations—as softness in core search is offset by the expanding adoption of AI Overviews, AI Mode, and Gemini. He expects AI-driven queries to drive stronger cost-per-click growth as improved context and conversion rates enhance monetisation.
Stifel starts Micron at Outperform, citing a multi-year memory market upturn
Brokerage firm Stifel initiated coverage of Micron Technology with an Outperform rating, arguing that the memory industry is entering a multi-year upcycle driven by structural AI demand and persistently tight supply conditions.
Stifel believes Micron is well positioned to benefit from rising average selling prices and a favorable mix shift toward higher-margin products, as memory increasingly becomes a critical constraint within AI systems. “Access to memory has emerged as a key bottleneck in AI racks and systems, boosting demand for higher-performance, higher-bandwidth memory solutions,” the firm said.
With supply expected to remain constrained through 2027, Stifel sees an environment supportive of sustained pricing power and margin expansion. Against this backdrop, the firm expects Micron to capture significant ASP growth and expand margins, forecasting non-GAAP EPS growth of more than 275% over the next two years.
High-bandwidth memory (HBM) is central to Micron’s growth thesis, according to Stifel. As AI models become more complex and require faster access to larger data sets, next-generation chips are incorporating more HBM, increasing memory’s share of overall AI infrastructure spending. As the industry’s number-two player, Micron is expected to see HBM revenue grow 164% in fiscal 2026 and a further 40% in fiscal 2027, with DDR and QLC NAND also benefiting from AI-driven demand.
Stifel also highlighted several risks, including the potential re-emergence of Samsung as a more formidable HBM competitor, elevated capital spending that could shift value toward equipment suppliers, a possible easing in DRAM supply-demand dynamics, and the risk that chipmakers design their own base logic dies.
On valuation, Stifel noted that Micron trades at roughly 9.7 times calendar 2026 earnings, modestly below historical averages. “While valuation increasingly reflects significant growth expectations, we believe the shares can continue to perform on the back of a multi-year, AI-driven product cycle characterized by tight supply,” the firm concluded.
Mizuho says Arm selloff presents a buying opportunity
Mizuho analyst Vijay Rakesh said investors should take advantage of the recent pullback in Arm Holdings shares to build positions, arguing that market concerns around handset demand have become excessively pessimistic.
Arm’s stock has declined roughly 30% since November, even as the Philadelphia Semiconductor Index has risen about 10%. Rakesh described the selloff as “overdone,” adding that Mizuho would “be buyers of ARM on the approximately 30% pullback.”
According to Rakesh, Arm’s growth drivers extend well beyond smartphones. While mobile royalties account for about 50% of revenue, he noted that Arm has historically outpaced handset market growth and is projected to expand at annual rates of 7% to 31% between 2021 and 2027.
A key catalyst is the ongoing transition to Arm’s v9 architecture, which delivers roughly double the average selling price per core compared with v8, providing a structural uplift to royalty revenue. Rakesh also highlighted rising interest in custom silicon, noting that potential ASIC and CPU ramps in 2027 and 2028 could contribute more than $1 billion in incremental revenue.
He further pointed to opportunities tied to AI-focused custom chips, including a potential training and inference ASIC associated with OpenAI and SoftBank. That initiative alone, he said, could conservatively generate around $1 billion in revenue during the 2027–2028 period.
Beyond mobile, Arm is gaining traction in data centers as hyperscalers increasingly adopt its architectures. Rakesh cited platforms such as AWS Graviton, Microsoft Cobalt, Meta’s planned CPU, and Nvidia’s Grace and Vera as evidence of a growing custom silicon customer base and an improving royalty mix.
Rakesh reiterated Mizuho’s Outperform rating and $190 price target, saying Arm remains “well positioned as the broadest global semiconductor platform.”
Morgan Stanley grows more positive on European semiconductor stocks
Morgan Stanley upgraded the European semiconductor sector to Overweight this week, arguing that the group offers an attractive environment for selective stock picking as diversification inflows gather pace, valuation dynamics improve, and semiconductor equipment companies stand to benefit from the next phase of the AI capital expenditure cycle.
The firm’s strategists noted that European equities are attracting increased diversification inflows while beginning to emerge from a long-standing valuation discount to U.S. markets. Within this context, semiconductors stand out as a sector where strengthening bottom-up fundamentals are increasingly driving top-down performance. Morgan Stanley said its preferred expression of this view remains analyst-led stock selection rather than broad factor exposure.
“While European equities already appear highly idiosyncratic, we see further scope for stock-level dispersion in Europe to rise toward cycle highs,” the strategists wrote.
The upgrade is anchored in the semiconductor equipment segment. Morgan Stanley highlighted ASML as the dominant contributor to European Top Picks performance year to date, accounting for more than half of weighted gains. ASML also represents roughly 80% of the MSCI Europe Semiconductors and Semiconductor Equipment index.
Looking ahead, the bank said risks in the AI investment cycle are shifting away from demand and toward execution and transition. “For 2026, the key risk in the AI capex cycle is execution and transition, not demand,” the strategists wrote, arguing that this dynamic favors European semiconductor equipment exposure—particularly companies tied to extreme ultraviolet lithography.
Morgan Stanley expects upcoming order intake to confirm higher foundry and memory capital spending through 2027, alongside stronger-than-expected demand from China.
From a portfolio construction standpoint, the firm said it adjusted its sector model to reflect improving earnings momentum and broader price-target revisions for European semiconductors, while neutralising accrual factors and reducing China exposure. These changes lifted the sector to second place in Morgan Stanley’s internal rankings, just behind banks.
At the stock level, ASML and ASM International remain Morgan Stanley’s Top Picks, with BE Semiconductor Industries also highlighted as an Overweight-rated beneficiary of the same themes.
When Tesla introduced the Semi in 2017, it billed the vehicle as a game-changer for the heavy-duty trucking industry. Almost ten years on, however, only a limited fleet is in operation. Repeated production delays and Tesla’s focus on higher-visibility ventures such as passenger cars, AI, and robotics have kept the Semi on the sidelines. Still, 2026 could prove to be the decisive year in determining whether the truck can evolve from a pilot project into a viable commercial offering.
Worldwide sales of heavy-duty trucks reached roughly 2.8 million units in 2024, including about 400,000 in the U.S. Yet electrification in the Class 8 segment remains minimal, as fleet operators tend to prioritise total cost of ownership over branding or technological novelty.
Tesla argues that the Semi offers a strong economic proposition, citing a claimed 500-mile range from an approximately 850 kWh battery, ultra-fast charging rates of up to 1.2 MW, and significantly lower energy and maintenance costs compared with diesel alternatives. Elon Musk has repeatedly characterised demand as “ridiculous” and the business case as a “no-brainer” for fleet operators.
On paper, momentum appears to be building. Filings associated with California’s electric-truck incentive programme indicate that nearly 900 Semis were applied for in 2025—more than any traditional truck manufacturer has historically secured. Early customers, including DHL and RoadOne, report performance exceeding expectations and have signalled intentions to expand their fleets once mass production begins.
Execution risks, however, remain substantial. Tesla is aiming for annual output of up to 50,000 units from its Nevada facility by the end of 2026, a lofty target given that the entire U.S. day-cab tractor market totals fewer than 100,000 units per year. Additional concerns include battery supply constraints following a significant writedown by a major 4680-cell supplier, while drone footage suggests the Nevada production line is not yet fully installed.
Bernstein analysts also caution that, based on current assumptions, the Semi’s total cost of ownership may still marginally exceed that of best-in-class diesel trucks.
For established manufacturers such as Daimler, Volvo, and Paccar, Tesla’s influence is unlikely to be felt immediately. Diesel-powered trucks continue to dominate the market, and the electrification of long-haul freight is expected to progress gradually.
However, if Tesla succeeds in scaling production in 2026, the Semi could alter industry perceptions, prompting increased investment and putting pressure on margins within one of the sector’s most important profit pools.
Monday – U.S. markets were closed for Martin Luther King Jr. Day.
Ciena Corp
What happened? On Tuesday, Bank of America lowered its rating on Ciena Corp. (NYSE: CIEN) to Neutral and set a price target of $260.
TL;DR: Ciena shares have jumped on strong hyperscaler-driven growth, but BofA turned more cautious due to concerns over potential backlog risks.
What’s the full story? Ciena’s shares have surged to record levels, now trading at roughly 40x forward earnings, about twice its 10-year average, reflecting strong expectations for sustained growth. Demand from hyperscale cloud providers has driven a sharp acceleration in revenue growth—from around 8% to approximately 30% in 1Q26—supported by a $5 billion backlog that provides solid visibility into next year’s revenues.
Analysts believe the current cycle has durability, fueled by rapid expansion in scale-across deployments, which are projected to rise 11-fold to $808 million by 2026, alongside continued leadership in 800G optical technology. Ciena’s market share has increased from 18% in 2024 to 22% in 9M25, with the company commanding roughly 50% share among major cloud providers, driven by its RLS systems and WaveLogic 6 Nano built on 3nm DSP, offering superior power efficiency versus competitors such as Cisco and Marvell.
However, risks remain. The company’s history offers a cautionary example: in 2022, backlog coverage fell sharply—from levels that once covered 96% of revenue to a 38% decline, triggering a 12% drop in the stock. With shares now valued at about 45x earnings, assumptions of peak growth leave little room for disappointment if backlog momentum weakens.
As a result, Bank of America downgraded the stock to Neutral, maintaining a $260 price objective, which implies only around 7% upside, suggesting much of the optimism is already reflected in the valuation.
Ulta Beauty
What happened? On Wednesday, Raymond James upgraded Ulta Beauty Inc. (NASDAQ: ULTA) to Strong Buy and raised its price target to $790.
TL;DR: Raymond James turns more bullish on ULTA, citing earnings upside from growth initiatives despite competitive and execution risks.
What’s the full story? Raymond James upgraded Ulta to Strong Buy from Outperform, lifting its price objective to $790 and modestly increasing its FY26 EPS forecast to $28.60 from $28.51. The firm sees a combination of strategic initiatives reigniting growth as Ulta enters FY26 following a year of restructuring.
Beauty demand remains resilient, while the company benefits from operational improvements implemented over the past year, including a refreshed leadership team, enhancements to its loyalty program, stronger digital capabilities, and expanded assortments in Wellness and Marketplace categories. Looking ahead, Raymond James highlights opportunities from deeper data analytics, adoption of agentic AI, and early-stage international expansion—initiatives expected to drive earnings growth without relying on valuation multiple expansion.
The firm believes Ulta is transitioning from an investment phase toward a period of return realization, with contributions expected across physical stores, e-commerce, and potential international markets. However, risks persist, including intensifying competition in beauty retail, potential softness in U.S. consumer demand, rising cost pressures, and execution risks tied to overseas expansion.
Overall, Raymond James views Ulta’s balanced exposure to both prestige and value-conscious consumers, its strong loyalty ecosystem, and improving operational leverage as creating an attractive risk-reward profile, supporting the Strong Buy rating.
Palantir
What happened? On Thursday, PhillipCapital initiated coverage of Palantir Technologies Inc. (NASDAQ: PLTR) with a Buy rating and a $208 price target.
TL;DR: PhillipCapital sees Palantir as a buying opportunity, driven by strong revenue and profit growth, and sets a $208 target.
What’s the full story? PhillipCapital expects Palantir’s FY25 revenue to rise 47% year over year to $4.2 billion, supported by a growing contribution from its commercial segment, which is forecast to expand 51% YoY, outpacing 43% growth in government revenue. The shift reflects accelerating enterprise adoption of AI-driven platforms beyond Palantir’s traditional defense and public-sector base. Net profit is projected to increase by approximately 1.9x, reflecting improving operating leverage.
The U.S. market, which accounts for roughly 66% of total revenue, is expected to remain the key growth driver. Revenue in the region is forecast to grow 66% YoY, supported by elevated government spending amid geopolitical tensions and a sharp acceleration in commercial contracts—nearly doubling in 3Q25—driven by demand for Palantir’s Artificial Intelligence Platform (AIP) and its ontology-based productivity tools.
PhillipCapital’s $208 price objective is derived from a discounted cash flow valuation, assuming an 8.3% WACC, 4.2% risk-free rate, and 8% terminal growth rate. While the stock trades at a lofty ~170x forward P/E, the firm argues this remains below prior peak valuation levels, leaving room for a potential re-rating as earnings visibility improves and Palantir’s addressable markets continue to expand.
Starbucks Co.
What happened? On Friday, William Blair upgraded Starbucks Corporation (NASDAQ: SBUX) to Outperform, without assigning a price target.
TL;DR: William Blair sees an imminent return to positive U.S. comparable sales, prompting an upgrade to Outperform.
What’s the full story? William Blair expects Starbucks to deliver its first positive domestic comparable-sales growth in two years during the December quarter, setting the stage for improved performance into fiscal 2026. While sales momentum is turning, the firm highlights margin recovery as the central investment debate. Americas operating margins are projected to fall to 13.4% in FY25, down from a peak of 20.8%, with an additional $500 million in labor-related cost pressures anticipated in the following year.
The firm is looking to Starbucks’ January 29 investor day for further clarity, anticipating a multi-year strategy focused on general and administrative cost reductions, productivity initiatives, and sustained comparable-sales growth. Over the longer term, William Blair models approximately 3% global unit growth combined with low-single-digit comparable sales, allowing consolidated margins to gradually approach 2023 levels by 2030.
Under this framework, Starbucks could generate a 15–20% compound annual growth rate in EPS over the next five years. Despite the stock being up roughly 15% year to date, William Blair sees a potential valuation path toward $140+ per share by 2029, based on a 30x multiple applied to $4.70+ in EPS, implying roughly 10% annual share price appreciation, with upside if comparable sales accelerate faster than expected.
As a result, William Blair upgraded Starbucks to Outperform, arguing that the recovery in sales is likely to precede and ultimately drive a more meaningful rebound in profitability beginning around 2027.
Shares of Apple (NASDAQ: AAPL) have come under sustained selling pressure, with the stock now trading around $245—nearly 15% below the record high reached just last month. The decline has been largely one-way, which is notable given Apple’s reputation as one of the market’s most reliable large-cap names. Broader market conditions have also weighed on the stock, as escalating geopolitical tensions have fueled a sharp risk-off move across equities in recent days.
What makes the current situation particularly striking is how stretched Apple’s technical signals have become. The stock’s relative strength index (RSI) has fallen into deeply oversold territory this month, currently hovering near 18—its lowest level since September 2008. Such an extreme reading suggests that selling may have been excessive and overly rapid, especially with the company’s earnings report scheduled for next week.
Understanding the Setup as Apple Heads Toward Earnings
An RSI reading this depressed would draw attention for any stock, especially one like Apple. With the company heading into a closely watched earnings report next week, the setup becomes even more compelling.
Apple has a well-established history of beating analysts’ expectations on a quarterly basis, and viewed through that lens, the current situation raises an important question. After such an aggressive sell-off, is it possible that the market has already priced in a worst-case outcome?
Apple’s Fundamentals Still Strengthen the Bullish Case
From a business perspective, Apple’s recent share price performance appears increasingly out of step with its underlying fundamentals. The company’s consistent ability to exceed earnings expectations is something few of its peers can rival. Gross margins remain solid, and its ecosystem-based model continues to deliver dependable cash flows.
Apple’s approach to returning capital also offers a meaningful buffer for investors considering an entry. A sizable share repurchase program alongside steady dividend growth means management is a regular buyer of its own stock during periods of weakness. While this doesn’t eliminate the risk of sharp pullbacks, it often helps prevent negative sentiment from persisting for long.
That said, the concerns driving the sell-off cannot be ignored. iPhone shipment volumes have softened, and the stock’s valuation is near the upper end of its recent range. These factors help explain investor caution, but they fall short of fully justifying the speed and magnitude of the recent decline.
Analyst Confidence Grows Ahead of Apple’s Earnings
The case for buying the dip is reinforced by steadfast analyst support for Apple. This week, Evercore added the stock to its tactical outperform list ahead of next week’s earnings, reflecting confidence that the company will deliver results above expectations.
Recent analyst commentary has focused on the composition of iPhone sales, with higher-end models reportedly making up a greater share of demand. This trend supports both average selling prices and margins. Meanwhile, services revenue is expected to continue providing a stable source of growth, helping to cushion any weakness in hardware volumes.
Evercore set a new price target of $330 for Apple, implying roughly 35% upside from current levels, and that still isn’t the most optimistic view on the Street. Wedbush released a bullish update last week, assigning a $350 price target and further supporting the argument that the market’s reaction has been excessive. With momentum already deeply washed out, even a modest beat on revenue or earnings could be enough to spark a meaningful shift in sentiment.
Apple’s Risk/Reward Looks Compelling at Current Prices
None of this suggests Apple is without risk. Next week’s earnings will carry more weight than usual, and a true disappointment could drive the stock lower—particularly if geopolitical tensions intensify.
That said, the risk/reward profile is becoming increasingly asymmetric. This is the most oversold Apple has been in nearly two decades, and for a company with its balance sheet strength, margin profile, and history of delivering shareholder returns, it’s difficult to ignore the appeal of buying at these levels.
TSMC (NYSE: TSM) reported a better-than-anticipated net profit for the fourth quarter on Thursday, as the global leader in contract chip manufacturing continued to capitalize on strong demand for its advanced chips driven by artificial intelligence.
The company also announced a significantly increased capital expenditure outlook for 2026, aiming to rapidly expand production capacity to keep up with growing AI-related demand.
TSMC’s CFO, Wendell Huang, revealed in a post-earnings call that the company expects its capital expenditure for 2026 to range between $52 billion and $56 billion, a substantial increase from $40.9 billion in 2025.
Huang also cautioned that TSMC’s mid- to long-term profit margins are likely to decline as the company continues expanding its production capacity, particularly in overseas locations. CEO C.C. Wei echoed these concerns, highlighting “significantly higher” capital spending and costs in the years ahead.
For the quarter ending December 31, TSMC posted a record net profit of T$505.74 billion ($16 billion), surpassing Bloomberg’s estimate of T$467 billion and significantly up from T$374.68 billion the previous year.
The company’s quarterly revenue, previously disclosed, rose to T$1.046 trillion ($33 billion), up from T$868.46 billion a year earlier. Huang forecasted first-quarter 2026 revenue between $34.6 billion and $35.8 billion.
TSMC’s strong performance was driven by robust demand for its advanced chips, with its 3-nanometer products contributing over 25% of revenue from its wafer segment.
CEO C.C. Wei indicated that the strong AI-driven demand is expected to continue in the coming years, with positive feedback from TSMC’s largest customers. He emphasized that the “AI megatrend” remains firmly in place.
While TSMC’s high-performance computing segment continues to be its primary revenue source, the smartphone chip division’s contribution increased slightly to 32% in Q4, up from 30% the previous quarter. This growth was likely boosted by Apple Inc., which incorporated new TSMC-made chips in its iPhone 17 lineup.
TSMC is also a crucial supplier of advanced AI processors to NVIDIA Corporation, a partnership that has significantly boosted its earnings and market value over the past two years.
The company has benefited greatly from a surge among major tech firms to expand data center infrastructure supporting AI development, as advanced processors are vital for handling AI models’ intense computing demands.
Last year, TSMC announced a $165 billion investment in the U.S., mainly targeting increased production capacity at its Arizona facility. This move also appears aimed at addressing the Trump administration’s push for more domestic manufacturing.
On Thursday, TSMC signaled plans to further expand U.S. production, with a goal of allocating 20% to 30% of its overall capacity to the Arizona plant.
TSMC is broadly seen as a key indicator of chip demand and the AI market trends.
Last year was another strong period for the world’s top technology firms, known as the Magnificent 7. While artificial intelligence clearly provided a boost, these companies’ core business performance remained robust even without AI-driven growth, continuing to deliver steady revenue increases and strengthening competitive advantages that few rivals can match. They remain central to some of the most powerful and lasting secular trends shaping the global economy. This strong foundation persists as we enter 2026, though individual positioning within the group has started to vary.
Interestingly, Meta Platforms (META) and Amazon (AMZN)—which were the two weakest performers in 2025—now appear to be among the best positioned for gains in the coming year, along with Alphabet (GOOGL). This doesn’t rule out further upside potential for the rest of the group, but it does indicate a shift in relative opportunities. Below, I detail the changing dynamics for each of the Magnificent 7 and share insights on how to approach trading them in 2026.
Amazon, Meta Platforms, and Alphabet Stocks Take Center Stage
After trailing the broader group in 2025, Amazon and Meta Platforms seem poised for a strong recovery in the coming year. Both companies continue to show steady revenue and earnings growth, but their stock prices have lagged, resulting in some of the most attractive valuations seen in years. Meta is currently trading at about 21.9 times forward earnings, while Amazon is around 30.7 times—both significantly below their historical averages. According to analyst ratings, Meta holds a Zacks Rank of #3 (Hold), indicating stable earnings revisions, whereas Amazon has a more favorable Zacks Rank of #2 (Buy).
Technical indicators also favor both Meta and Amazon. Meta’s shares have been trading within a narrow range recently, a pattern that often signals an impending breakout. Amazon shows a similar pattern but has already begun to move upward, breaking out on strong volume just yesterday.
From a fundamental perspective, both companies have strong bullish catalysts. Amazon is actively pursuing various AI-driven growth opportunities, particularly through AWS, where demand for cloud computing services remains strong. Meta has been one of the most effective users of AI in its advertising platform, converting technological advances into better monetization and higher margins. Additionally, Meta’s recent acquisition of Manus AI, though relatively low-profile, could be strategically important. Manus stands out among large language model (LLM) applications for its sophistication and may help Meta reestablish itself as a serious competitor in consumer-facing AI, an area where it has previously fallen behind.
In contrast, Alphabet was the best performer in the group last year as the market finally recognized its AI strengths. Its large language model is among the industry’s top, and its vertically integrated hardware ecosystem—centered on proprietary TPUs—provides a strong and unique competitive edge. Alphabet’s shares are now emerging from their own consolidation phase, indicating potential for further gains.
Together, these three companies present a well-rounded investment opportunity: two former laggards with improving technical and valuation setups, and one established leader continuing to deliver. In all cases, AI acts as a powerful catalyst, but not the sole basis for investment.
Nvidia and Microsoft Continue to Show Strong Potential
Microsoft (MSFT), a dominant force in global technology, has experienced a pause in its share price momentum in recent months, with little sustained progress since early summer and a slight decline during the fourth quarter. However, this consolidation seems to be settling. The stock has consistently tested a critical support level but has yet to break significantly below it, indicating that downward pressure may be easing.
On the fundamentals side, Microsoft’s outlook is strengthening. Earnings estimates have seen modest upward revisions, contributing to a Zacks Rank of #2 (Buy) for the stock. As long as the shares remain above the key support level around $470, the risk-to-reward ratio looks increasingly favorable.
Nvidia (NVDA) currently holds a Zacks Rank of #1 (Strong Buy), reflecting unanimous upward revisions to earnings estimates across various time frames. In just the past 60 days, analysts have increased next year’s EPS forecasts by about 16%, signaling continued positive surprises in its fundamentals.
The company’s valuation remains attractive relative to its growth prospects. Nvidia trades at roughly 40.1 times forward earnings, while its long-term EPS is expected to grow at an annualized rate of around 46% over the next three to five years. This results in a PEG ratio below 1—a rare and favorable setup for a company of this size.
Importantly, Nvidia is actively advancing despite its dominant position in the AI market. It is investing heavily across the entire AI technology stack, with a growing focus on next-generation architectures and inference optimization, which is set to become an increasingly lucrative area as AI workloads expand. This strategy was further supported by Nvidia’s recent acquisition and partnership with chip startup Groq, enhancing its capabilities in low-latency inference and performance-optimized chip design ahead of the upcoming Rubin architecture. These moves keep Nvidia firmly on investors’ radar.
Apple and Tesla Stocks Experience a Downward Trend
Although both Apple (AAPL) and Tesla (TSLA) experienced rallies late last year, their price trends remain concerning as we head into 2026. They are currently the only two stocks among the Magnificent 7 clearly trading in sustained downtrends, highlighting a shift in leadership within the group.
Tesla’s story remains ambitious, with Elon Musk emphasizing long-term prospects like autonomous driving and humanoid robots. However, investors are now focused more on near-term fundamentals, which have weakened. Tesla’s top-line growth has stalled since 2023, and its market share declined after being overtaken by BYD as the world’s largest EV producer last year. So far, there’s little sign of a meaningful rebound in vehicle demand.
Valuation also poses a major challenge for Tesla. It currently trades at over 200 times forward earnings and about 13 times forward sales—levels that surpass most high-growth, high-margin software firms. While Tesla has historically commanded premium valuations, slowing growth and changing market sentiment increase the risk of downside in the near to medium term.
Apple, on the other hand, doesn’t face the same fundamental risks but appears less attractive compared to its peers. The company has taken a cautious approach in the AI race, choosing not to match competitors’ aggressive infrastructure investments. Although this initially hurt sentiment amid fears Apple might fall behind, this strategy has proven more justifiable over time. Apple remains the world’s leading platform for mobile computing and consumer devices, positioning it as a key distribution channel for AI-powered applications in the future. Nevertheless, with fewer immediate catalysts and weaker momentum, Apple currently lags behind other Magnificent 7 stocks from a trading standpoint.
How Investors Can Position Themselves Within the Magnificent 7
As we enter 2026, the Magnificent 7 continue to present a wide range of opportunities. Variations in earnings momentum, technical trends, and near-term catalysts offer multiple ways for investors to engage—whether by riding the momentum of leaders or capitalizing on laggards poised for a rebound.
For investors, the key is to focus on areas where strong fundamentals align with positive price action. When approached thoughtfully, the Magnificent 7 should remain a central source of opportunity throughout 2026, not only as a group but also through the unique trajectories each company follows as the market cycle progresses.
Semiconductor Stocks to Consider Beyond Nvidia
The soaring demand for data is driving the next digital gold rush in the market. As data centers keep expanding and upgrading, the hardware suppliers behind these giants are set to become the NVIDIAs of the future.
One lesser-known chipmaker is uniquely poised to capitalize on this next phase of growth. It focuses on semiconductor products that industry leaders like NVIDIA don’t produce. This company is just starting to gain attention—exactly the kind of opportunity investors want to spot early.
The self-driving car industry has experienced a cycle of high hopes, costly setbacks, and ongoing delays. From Tesla’s (NASDAQ:TSLA) frequent missed deadlines to General Motors (NYSE:GM) shutting down its Cruise autonomous division following a pedestrian accident, achieving fully autonomous vehicles has been much tougher than early developers expected.
However, a fresh wave of innovation driven by artificial intelligence and strategic collaborations is revitalizing this groundbreaking technology.
At the forefront of this resurgence is Nvidia (NASDAQ:NVDA), the chipmaker whose leadership in AI computing is now expanding into the automotive sector, providing Western car manufacturers with a potential way to rival China’s rapidly progressing autonomous driving advancements.
The Present State of Autonomous Driving in the U.S.
The U.S. self-driving industry is currently at a critical juncture, with only a few companies still seriously competing. In 2019, Tesla CEO Elon Musk confidently predicted that a million autonomous vehicles would be on the roads within a year. However, the company only rolled out a limited robotaxi pilot program in late 2025, falling six years behind schedule. A major challenge has been the countless unpredictable scenarios, known as edge cases, that can confuse autonomous systems.
Traditional automakers have mostly pulled back from the sector. General Motors shut down its Cruise autonomous division following a serious incident where one of its vehicles hit and dragged a pedestrian.
Similarly, Ford Motor ceased its internal autonomous vehicle projects, choosing to withdraw from the capital-heavy competition. Alphabet’s (NASDAQ:GOOGL) Waymo remains the only company maintaining consistent operations, currently offering Level 4 robotaxi services in several U.S. cities.
At the same time, China has made significant advances supported by strong government backing and rapid deployment. Chinese automakers now account for about seventy percent of global electric vehicle production, while companies such as BYD, Baidu, and Pony.ai are growing their robotaxi services throughout Asia and the Middle East.
The Chinese government recently authorized two vehicles with Level 3 autonomous driving capabilities, permitting hands-free driving. This regulatory endorsement, along with better network infrastructure and more affordable costs, has established China as a rising leader in autonomous technology.
Nvidia’s Self-Driving Platform: Revolutionizing the Industry
At CES 2026 in Las Vegas, Nvidia introduced its solution to the autonomous driving challenge: the Alpamayo platform. Simply put, Alpamayo is a comprehensive toolkit that enables automakers to develop self-driving systems without starting from zero.
The platform features reasoning models that help vehicles interpret and respond to their environment, simulation tools for safely testing various scenarios, and datasets for training the AI. It can process data from cameras and radar sensors to make decisions on steering, braking, and acceleration while also providing explanations for its choices.
What makes Alpamayo especially noteworthy is that Nvidia has made it open-source, allowing any company to use and adapt it freely. This approach contrasts sharply with Tesla’s proprietary model.
Industry experts liken this to the smartphone battle between Apple’s (NASDAQ:AAPL) closed ecosystem and Android’s open platform. By offering a shared foundation, Nvidia empowers automakers to concentrate on differentiating their products rather than reinventing fundamental technology, potentially speeding up the entire industry’s development.
The platform is quickly gaining momentum. Mercedes-Benz revealed that its upcoming CLA model will incorporate AI-driven driving features powered by Nvidia’s technology, set to hit U.S. roads later this year. Additionally, a robotaxi partnership involving Lucid Group, Nuro, and Uber plans to leverage Nvidia’s chips and platform.
Ali Kani, Nvidia’s general manager of the automotive division, expressed optimism that recent fundamental AI improvements have resolved critical issues that once hindered self-driving technology, indicating the industry might be nearing a major breakthrough.
NVDA Share Forecast and What Investors Should Know
Nvidia’s stock mirrors its leading position in several AI-driven markets. As of January 2026, NVDA shares are trading around $185 each, with a market cap near $4.5 trillion, ranking it among the world’s most valuable companies.
The stock has delivered remarkable returns, rising more than 32% in the past year and an impressive 1,297% over five years, significantly outperforming the S&P 500’s 81% gain during the same timeframe.
Despite its high valuation, key financial indicators remain strong. In Q3 FY26, Nvidia reported revenues of $57 billion and earnings of $31.8 billion, surpassing analyst expectations for earnings per share by four cents.
The trailing price-to-earnings (P/E) ratio stands at about 46, while the forward P/E is 24, reflecting the market’s high growth expectations. However, a PEG ratio of 0.70 indicates that the stock’s valuation could be reasonable relative to its anticipated earnings growth. Nvidia continues to demonstrate strong profitability, with a profit margin above 53% and a return on equity exceeding 100%.
Analysts generally hold a positive outlook on Nvidia’s future. The average price target of $252 suggests about a 36% potential increase from current levels, with forecasts ranging from $140 on the low side to $352 at the high end. Most analysts have Buy or Strong Buy ratings, highlighting sustained strong demand for AI infrastructure.
While Nvidia’s automotive division offers a growing avenue beyond its core data center business, investors should be aware that the stock exhibits high volatility, with a beta of 2.31. The upcoming earnings report on February 25, 2026, is expected to shed more light on the company’s progress.
This week’s highlights include the U.S. jobs report, ISM PMI surveys, and the CES Conference.
AMD is a recommended buy, driven by expected AI innovations presented in CEO Lisa Su’s CES keynote.
Cal-Maine Foods is a sell candidate ahead of a potentially disappointing earnings report and a weak outlook.
Wall Street’s major indexes closed mostly higher on Friday, the first trading day of 2026, boosted by gains in semiconductor and AI-related stocks. However, all three indexes still recorded slight declines for the week.
The Dow Jones Industrial Average slipped 0.7%, the S&P 500 dropped 1%, the tech-focused Nasdaq Composite fell 1.5%, and the small-cap Russell 2000 declined 1%.
The first full trading week of 2026 promises to be busy, with monthly jobs data taking center stage. Economists forecast nonfarm job growth of 54,000 for January, down from 67,000 in December, while the unemployment rate is expected to decrease to 4.5% from 4.6%. Additionally, the ISM manufacturing and services PMIs will be closely monitored by investors.
On the earnings front, only a few companies are scheduled to report this week, including Constellation Brands, Cal-Maine Foods, Jefferies Financial Group, Albertsons, and Applied Digital.
Meanwhile, investors in the tech and consumer sectors will be closely watching the CES conference in Las Vegas. Key companies to watch for product launches, strategic updates, and AI developments include Nvidia, AMD, Intel, Qualcomm, Meta Platforms, Samsung, LG, Sony, and Motorola.
No matter how the market moves, below I highlight one stock expected to gain interest and another that may face further declines. Keep in mind, my outlook is limited to the upcoming week, Monday, January 5 through Friday, January 9.
Stock to Buy: Advanced Micro Devices
AMD stands out as a strong buy this week, with the 2026 Consumer Electronics Show (CES) acting as a key catalyst. The highlight will be CEO Dr. Lisa Su’s opening keynote on Monday at 6:30 PM PT (9:30 PM ET).
Su is expected to present AMD’s vision for AI solutions across cloud, enterprise, edge, and devices, potentially unveiling new advancements in AI chips and related technologies. Historically, AMD shares tend to rally during the week of its major product announcements, often followed by multiple analyst upgrades.
Analysts remain optimistic, with a consensus Strong Buy rating supported by 40 Buy and 11 Hold recommendations, suggesting a 26.5% upside potential for 2026. TD Cowen recently named AMD among its top AI picks, setting a price target of $290.
Fundamentally, AMD’s growth is driven by its AI product portfolio, including the MI300 series accelerators, which are gaining ground against rivals like Nvidia.
AMD shares closed Friday at $223.47. From a technical standpoint, the stock has demonstrated resilience, recovering from mid-2025 lows near $150 to its current level, supported by strong trading volume. If the upcoming keynote meets expectations with announcements like new partnerships or product roadmaps, AMD could soon challenge its 52-week high around $270.
AMD holds a Financial Health Score of 2.98 (“GOOD”), indicating a solid balance sheet and strong operating momentum driven by excitement around its next-generation AI products.
Stock to Sell: Cal-Maine Foods
Cal-Maine Foods starts the week at $78.47, hovering near its 52-week low, as Wall Street anticipates a weak earnings report and a bleak outlook. The company faces headwinds including rising feed costs, supply chain challenges, and variable demand.
The largest U.S. producer and distributor of shell eggs is set to release its fiscal second-quarter results before the market opens on Wednesday at 6:00 AM ET, followed by a conference call at 9:00 AM ET.
Cal-Maine is projected to report earnings of $2.08 per share, a sharp 53.5% decline from $4.47 a year ago, driven by higher input costs and fluctuating demand. Revenue is expected to drop 14.7% year-over-year to $814.2 million, amid ongoing egg price volatility and potential disruptions from recent avian flu outbreaks that have affected supply chains.
Looking forward, the company’s guidance is likely to reflect continued uncertainty around production normalization and cost control, posing further challenges for investor confidence and stock performance.
Technically, CALM has slipped below key support levels, accompanied by declining volume that indicates weakening investor interest. Its one-year target price of $95.50 offers limited upside, but the risks from a disappointing earnings report outweigh potential gains.
With the likelihood of underwhelming results and cautious guidance, CALM is a sell this week to avoid volatility driven by these events.
Whether you’re a beginner investor or an experienced trader, using InvestingPro can help you uncover investment opportunities while managing risks in this challenging market environment.
THE ETERNAL SOVEREIGN 