THE ETERNAL SOVEREIGN

Tag: AI

  • 12 Top Investment Picks with Strong Conviction for the Second Half of 2026

    Two defining trends are shaping the investment landscape in 2026: technological innovation is accelerating at an extraordinary pace, while the cost of deploying cutting-edge technologies continues to decline. As a result, breakthroughs that once took years—such as drug development—can now be achieved in a matter of months. Automation is spreading rapidly across industries, fundamentally changing how businesses operate and generate value.

    At the same time, the global economy faces growing constraints, including limited power generation, critical raw materials, arable land, and electricity grid capacity. The following investment themes focus on opportunities emerging where technological progress intersects with these structural bottlenecks.

    1. Global Robotics & Automation

    AI is accelerating the next wave of automation

    Robotics and automation remain compelling long-term investment themes, supported by persistent labor shortages, rising wage pressures, and rapid AI innovation. Investors can gain broad exposure through companies involved in industrial automation, logistics, surgical robotics, sensors, and AI-driven software.

    Declining AI costs and supportive policies across the US, Europe, and China are speeding up adoption in high-value applications. Meanwhile, manufacturing activity in the US and Europe has returned to expansion territory after several years of contraction, reigniting capital spending that benefits automation providers.

    Key risks include geopolitical tensions affecting supply chains, semiconductor shortages, and slower-than-expected commercialization of AI-powered robotics.

    2. Space Economy

    A rapidly expanding long-term opportunity

    The global space economy is expected to reach approximately USD 1.8 trillion over the coming decade, driven by increasing commercial use of satellite technology and emerging concepts such as space-based data centers to support AI infrastructure.

    Launch costs continue to fall thanks to reusable rocket technology. For example, refurbishment expenses have declined to roughly USD 10 million, compared with nearly USD 100 million for building new rockets, significantly improving commercial viability.

    Risks include reliance on a limited number of major industry players, regulatory challenges, launch failures, and higher-than-anticipated operating costs.

    3. Digital Infrastructure

    The foundation of the AI revolution

    Digital infrastructure has become a critical pillar of the AI economy. Demand for computing capacity continues to surge, while electricity supply and grid limitations are driving a multi-year investment cycle in data centers and supporting infrastructure.

    Strong occupancy rates, long-term customer contracts, and significant barriers to entry provide attractive pricing power. Government initiatives promoting domestic AI infrastructure further strengthen the outlook. With US power-grid connection waiting times extending from four to seven years, existing facilities with available power capacity possess a significant competitive advantage.

    Potential headwinds include higher interest rates reducing data-center valuations and technological shifts toward edge computing or new computing architectures that lessen demand for traditional hyperscale facilities.

    4. Chinese Innovation

    Government-backed leadership in future industries

    China’s 15th Five-Year Plan allocates roughly USD 2 trillion toward strategic sectors, including semiconductors, artificial intelligence, advanced manufacturing, humanoid robotics, green energy, healthcare, pharmaceuticals, and urban air mobility.

    These industries benefit from China’s large domestic market, strong government support, and sustained emphasis on technological innovation.

    However, investors should consider risks such as US export restrictions on advanced technology, regulatory uncertainty, overinvestment in state-supported industries, and relatively weak consumer confidence.

    5. Agricultural Commodities

    Structural supply constraints support the outlook

    Agricultural commodities are becoming increasingly attractive as supply challenges intensify. Fertilizer exports through the Strait of Hormuz have been disrupted by geopolitical tensions, while higher natural gas prices have raised production costs and encouraged farmers to reduce fertilizer usage.

    These factors threaten crop yields across key agricultural products, including corn, wheat, soybeans, coffee, and cotton. Longer-term issues such as climate change, shrinking farmland, and water scarcity suggest these pressures are structural rather than temporary.

    Agricultural commodities can also enhance portfolio diversification by providing inflation protection and maintaining relatively low correlation with traditional equity and bond markets.

    6. The New Energy Era

    Strategic materials underpin global electrification

    The transition toward electrification is expected to reshape global demand for energy and essential raw materials over the coming decades. Electricity consumption by US data centers alone is projected to nearly triple by 2030, increasing from approximately 220 TWh to 600 TWh.

    Nuclear power is increasingly viewed as one of the few scalable, low-carbon energy sources capable of supporting this growing demand. Meanwhile, supply constraints in copper and rare earth elements are becoming increasingly important, as both are essential for advanced technologies and clean energy systems.

    Governments are treating these materials as strategic national assets through export controls and stockpiling initiatives, creating demand that is less sensitive to short-term price fluctuations.

    Key risks include improvements in computing efficiency reducing electricity demand, increased mining output easing supply shortages, and delays to nuclear or grid infrastructure projects due to regulatory and permitting challenges.

    7. Biotechnology

    Breakthrough innovation meets rising demand from big pharma

    Biotechnology is gaining strong momentum as breakthroughs across oncology, genetic disorders, mental health, and obesity treatments continue to translate into commercial success and improving profitability. Artificial intelligence is transforming the industry’s economics by significantly shortening drug discovery timelines, increasing the probability of successful development, and reducing research and development costs.

    The sector is also benefiting from a major industry dynamic: large pharmaceutical companies face an estimated USD 300 billion patent cliff between 2025 and 2030, prompting them to actively acquire innovative biotech firms to replenish their product pipelines.

    In addition, the policy environment has become more supportive, with reduced pressure on drug pricing and a faster FDA approval process helping bring new therapies to market more efficiently.

    Key risks include renewed government efforts to lower drug prices, the reintroduction of tariffs, and regulatory disruptions at the FDA that could delay approvals and weaken revenue visibility.

    8. HALO: Investing in Assets AI Cannot Replace

    Real-world infrastructure with lasting value

    The HALO investment theme focuses on businesses that own physical assets unlikely to be displaced by artificial intelligence. These include companies operating in energy, utilities, transportation, industrial infrastructure, and natural resources.

    Their competitive advantage comes from owning essential infrastructure with long useful lives and high replacement costs rather than relying solely on software. While AI can improve operational efficiency, it cannot replicate power grids, pipelines, rail networks, or critical industrial facilities. As a result, these businesses enjoy durable barriers to entry and resilient demand.

    Risks include regulatory changes that reduce utility profitability and higher interest rates that may pressure infrastructure valuations.

    9. European Mid-Cap Equities

    A compelling domestic growth opportunity

    European mid-cap stocks are well positioned to benefit from stronger domestic economic conditions, supported by EU fiscal spending, recovering manufacturing activity, and improving credit markets.

    Germany’s increased investment in infrastructure and defense provides an additional catalyst, while mid-sized companies typically respond more strongly to economic recoveries than large-cap firms. Their greater reliance on domestic revenue also makes them less vulnerable to US trade tariffs.

    Valuations remain attractive, with European mid-caps trading at roughly 15 times forward earnings while offering projected earnings growth of around 15%, compared with approximately 12% for large-cap companies. This provides investors with stronger growth potential without paying a valuation premium.

    Primary risks include persistently high energy prices and a stronger euro, both of which could weaken export competitiveness.

    10. US Small- & Mid-Cap Dividend Growers

    Combining growth with dependable income

    US small- and mid-cap companies that consistently increase dividends provide exposure to financially healthy businesses benefiting from expanding domestic economic growth.

    Regular dividend increases often reflect strong cash generation, healthy balance sheets, and durable earnings growth. Despite comparable growth prospects, these companies continue to trade at a notable valuation discount relative to large-cap stocks, creating room for multiple expansion.

    Key risks include slower economic growth or declining corporate earnings that could weaken cash flow generation and threaten future dividend growth.

    12. Short-Duration High Yield Bonds

    Generating income while limiting rate risk

    Short-duration high-yield bonds focus on below-investment-grade corporate debt with maturities between one and five years. This strategy allows investors to earn attractive income while reducing sensitivity to interest-rate fluctuations.

    Current yields remain elevated by historical standards, while default expectations are relatively modest. A significant portion of the market consists of BB-rated bonds, representing the highest-quality segment within high-yield credit, suggesting stronger credit fundamentals than many investors expect.

    The shorter maturity profile also reduces exposure to interest-rate volatility. However, investors should still consider risks such as widening credit spreads, rising defaults during economic weakness, and refinancing challenges if financing conditions tighten.

    12. Catastrophe Bonds (Cat Bonds)

    Diversified income with low market correlation

    Catastrophe bonds are insurance-linked securities that transfer the financial risk of major natural disasters from insurers to investors. In return, investors receive floating-rate income consisting of an insurance premium and yield generated from collateral.

    Because their performance depends primarily on insured catastrophe events rather than financial market movements, cat bonds typically exhibit very low correlation with stocks and bonds. Their relatively short maturities and active secondary market also make them an attractive and scalable alternative investment.

    The long-term investment case is supported by a widening global insurance protection gap, strong demand for risk transfer, and attractive risk-adjusted returns. Losses are generally event-driven and can often be repriced over time rather than resulting in permanent impairment of capital.

    The principal risks include multiple catastrophic events occurring within a short period, inaccuracies in catastrophe risk models, reduced market liquidity following major disasters, and lower interest rates diminishing collateral yields.

  • Three Key Bottlenecks Driving AI’s Next Trillion-Dollar Market Opportunity

    In our previous report, we outlined the $5.5 trillion AI capex supercycle and highlighted three critical bottlenecks that could ultimately determine how much value the ecosystem captures.

    The capital is already flowing. The key question now is which supply constraint becomes the limiting factor first. As the industry shifts from training large models to deploying autonomous AI agents, all three bottlenecks are being fundamentally reshaped.

    Memory is emerging as the first major pressure point, and Micron’s latest earnings delivered a clear signal of just how rapidly demand is accelerating.

    This Week’s TechEdge

    • CPUs: the most overlooked growth inflection
    • Memory: the new battleground and what Micron’s results reveal
    • Networking: our highest-conviction opportunity
    • The Bottom Line: key implications for investors

    The traditional hardware equation is changing. AI training was primarily a GPU-driven story, with large clusters of GPUs supported by relatively few CPUs.

    Agentic AI introduces a different dynamic. Like human workers, AI agents require dedicated compute resources, their own memory footprint, and continuous communication with other systems. This reverses the hardware ratios that defined the training era and channels significantly greater demand toward infrastructure categories that were previously secondary considerations.

    We believe the agentic AI era could generate roughly three times the hardware spending of the training era over the next two to three years.

    CPUs: The Most Overlooked Inflection Point

    As AI agents become more prevalent, infrastructure requirements move closer to a one-to-one CPU-to-GPU ratio, since each agent requires orchestration, task management, and system coordination.

    We project the CPU market could expand from approximately $35–40 billion today to more than $200 billion by 2030. That outlook exceeds AMD’s estimate of roughly $120 billion and is well above the current Wall Street consensus of around $170 billion.

    To put the scale into perspective, Cloudflare estimates that supporting 100 million knowledge workers in the United States would require roughly 10 million CPUs, with global demand potentially approaching one billion CPUs. AMD, Arm, and Intel have all pointed to this emerging trend, and 2025 appears to mark the beginning of the transition. While related stocks have already responded, we believe current valuations reflect only the early stages of a much larger growth cycle.

    CPU Demand Inflection in Agentic AI (2026 Chart)

    Memory: The Battleground — What Micron’s Results Revealed

    This quarter, the memory story moved beyond theory and into reality.

    Micron delivered strong results across every major segment, with the upside driven primarily by pricing rather than volume growth. The most striking figure was adjusted gross margin, which surged to nearly 80%—an extraordinary level for a business that has historically generated margins of 30–50% during favorable cycles and often slipped into negative cash flow during downturns.

    Memory pricing has climbed roughly sevenfold from the cycle trough, creating a powerful earnings tailwind for Micron. Those higher prices are flowing directly into the company’s profits while simultaneously increasing infrastructure costs for hyperscalers and AI leaders such as NVIDIA, Alphabet, and Microsoft.

    The takeaway is clear: memory is no longer just a supporting component in the AI stack. It is becoming one of the most critical constraints in the industry, with pricing power increasingly concentrated among the companies capable of supplying it.

    Micron Quarterly Results (MU – Q2 FY2025–Q2 FY2026 Chart)

    The forces driving this trend are structural rather than cyclical.

    Agentic AI is creating a second, distinct source of memory demand alongside high-bandwidth memory (HBM). While AI training workloads require HBM, autonomous agents also rely heavily on conventional DRAM and NAND—the same memory technologies found in everyday PCs and enterprise systems.

    At the same time, manufacturing capacity is becoming increasingly constrained. Producing HBM consumes significantly more resources, with each HBM wafer requiring the equivalent of three to four conventional DRAM wafers. As memory manufacturers shift capacity toward HBM production, the supply available for traditional memory products tightens just as demand for those products is accelerating.

    The result is a convergence of two demand streams that historically moved independently, now competing for the same limited supply base. According to Micron’s management, there is still no clear timeline for when supply—particularly in HBM—will fully catch up with demand. We believe these constraints could persist through 2028, extending the favorable pricing environment for memory suppliers and reinforcing memory’s position as one of the most critical bottlenecks in the AI infrastructure stack.

    Agentic AI Memory Market Expansion (2026–2030 Chart)

    Perhaps the most significant development is not technological, but contractual.

    Micron announced 16 strategic customer agreements with fixed-price structures, each spanning roughly three years and representing a combined minimum value of approximately $100 billion through 2030.

    Historically, memory has been sold largely on the spot market, a key reason the sector has long traded at a valuation discount due to its cyclical nature. The emergence of multi-year, fixed-price agreements has the potential to reduce earnings volatility, soften future downturns, and support the case for a structural re-rating of memory companies.

    That said, we are not prepared to fully underwrite that thesis yet. The real test will come when these businesses generate strong cash flows through an entire down cycle—something that remains unproven. These agreements also carry execution risk. If AI infrastructure investment slows, customers could scale back commitments, while increasing competition from Chinese memory producers remains a meaningful long-term consideration.

    For that reason, we continue to favor the picks-and-shovels approach. Companies such as KLA, Lam Research, and Applied Materials supply the critical tools required to expand manufacturing capacity, allowing them to benefit from industry growth without taking direct exposure to memory price cycles.

    One emerging catalyst deserves close attention. Micron has highlighted humanoid robotics as a potential second wave of demand growth. These systems could require roughly ten times the memory capacity of today’s AI deployments, creating an additional demand engine that may extend the current cycle well into the next decade.

    Lam Research, KLA and Applied Materials Total Returns (LRCX/KLAC/AMAT – 3-Year Chart)

    Networking: Our Highest-Conviction Opportunity

    As AI agents become more prevalent, the volume of machine-to-machine communication is set to increase dramatically. Every interaction, task delegation, and data exchange generates network traffic that must be moved efficiently across increasingly complex infrastructure.

    The debate is often framed as a choice between copper and optical connectivity, but we believe that view is overly simplistic. Both technologies will play important roles at different performance, distance, and cost thresholds. Rather than betting on a single transmission medium, we prefer technology-agnostic infrastructure providers such as Astera Labs and Credo Technology Group, whose products enable faster and more efficient data movement regardless of the underlying architecture.

    Signs of strain are already emerging across the ecosystem. Lead times for certain optical networking products have reportedly extended to as much as 12 months, while fiber pricing has risen approximately 50% since the start of the year. These pressures reflect a market struggling to keep pace with accelerating AI infrastructure demand.

    Industry forecasts suggest the optical networking market could ultimately exceed $150 billion in value—roughly nine times its current size. While networking has already outperformed both memory suppliers and hyperscale cloud providers during this cycle, we continue to see the greatest potential for upward earnings revisions in this segment, alongside semiconductor capital-equipment companies.

    As AI workloads evolve from model training to large-scale deployment of autonomous agents, networking is increasingly becoming a mission-critical layer of the infrastructure stack. In our view, this remains one of the most compelling opportunities across the AI value chain.

    AI Networking Value Chain (AI Infrastructure – Diagram)

    The Bottom Line: What This Means for Investors

    The AI opportunity is no longer defined by who has the most capital to deploy—it is increasingly determined by who controls the most constrained resources.

    CPUs are entering a major growth inflection and, in our view, remain underappreciated by the market. As AI agents proliferate, demand for orchestration, coordination, and general-purpose compute is set to rise sharply, creating a powerful tailwind for the CPU ecosystem.

    Memory has moved from a future thesis to a present reality. Pricing power is already reshaping industry economics, and the market has begun to reflect that shift. However, much of the near-term optimism is now embedded in valuations. Whether memory suppliers deserve a sustained re-rating will ultimately depend on their ability to generate durable cash flows through the next downturn. Until that is proven, we prefer exposure through semiconductor equipment providers rather than the memory manufacturers themselves.

    Networking remains our highest-conviction investment theme. As AI systems become increasingly agent-driven, the volume of data moving between machines will grow exponentially, making connectivity infrastructure one of the most critical—and scarce—components of the AI stack. We continue to see the strongest potential for earnings upside in this segment.

    The broader takeaway is straightforward: in the agentic era, value accrues to the owners of scarcity. For years, GPUs were the primary bottleneck. Today, the constraints are shifting toward compute orchestration, memory capacity, and network infrastructure. Investors who identify these emerging choke points early will be best positioned to capture the next phase of AI-driven growth.

  • If the late 1990s are any guide, the AI boom may still have plenty of room to run.

    Many investors have compared today’s AI expansion to the dotcom boom of the late 1990s, when the infrastructure powering the internet was rapidly developed. The comparison makes sense given the enormous amount of capital now being invested to commercialize transformative, potentially world-changing technology. It also feels familiar because technology stocks fueled one of the strongest market rallies in history more than 25 years ago, and similar optimism is now surrounding AI, with investors aggressively raising valuations for companies expected to benefit from the trend.

    The Strengths and Weaknesses of the Comparison

    Although we don’t view the analogy as perfect — for several reasons discussed below — it is still useful to compare the trajectory of the tech-heavy Nasdaq-100 during the rise of AI with its performance during the early internet era, marked by the launch of Netscape, the first mainstream web browser.

    As shown in the chart titled “Based on the Dotcom Era Comparison, the AI Bull Market Seems Fairly Reserved,” the recent climb in the Nasdaq-100 has been far more gradual than the explosive surge seen over a comparable four-year stretch in the late 1990s. From this perspective, the current AI-driven bull market — now approaching four years in duration — could still have significant upside ahead. Since the release of OpenAI’s ChatGPT, the Nasdaq-100 has gained more than 140%, whereas the index soared over 1,090% from Netscape’s debut to the peak of the dotcom bubble in March 2000.

    Performance of the Nasdaq 100 During 1994-2001 and 2022-2026

    We’re not suggesting history will repeat itself or that the Nasdaq-100 is destined to surge another 900% before collapsing. The broader point is that the market’s current trajectory may be more rational than many assume, and the present environment could resemble 1997 more than the euphoric conditions of late 1999 or early 2000.

    Why This Cycle May Be Different

    We recognize that “this time is different” can be dangerous language in investing. Still, every historical cycle has unique characteristics. While the AI boom shares some similarities with the dotcom era from a market perspective, the differences may be even more important.

    Stronger market leaders.

    Today’s dominant AI companies are largely financing the AI buildout through internal cash flow rather than speculative fundraising. Their business models are broader and more durable than the website-centric companies of the dotcom era, while their balance sheets are significantly healthier than those of the fiber-optic equipment firms that led the late 1990s rally. Certain AI niches may display speculative behavior, but those are not the primary drivers of the public markets.

    More grounded valuations.

    At the peak of the dotcom bubble in March 2000, the technology sector traded at roughly 58 times forward earnings estimates, versus about 25 times today. Back then, investors often focused on “clicks” and “eyeballs” instead of financial fundamentals. In contrast, today’s AI leaders are generally being valued based on revenue growth, earnings potential, and cash flow generation.

    More mature IPOs.

    Technology IPOs today tend to be larger, supported by established business models and meaningful revenue streams. Even companies that are not yet profitable often have a clearer and more believable path toward profitability than many internet startups did during the dotcom boom.

    AI adoption is still in its early stages.

    The current phase is centered on building AI infrastructure, while mass AI adoption has only just begun. During the late 1990s, speculative enthusiasm shifted heavily toward consumer internet companies that ultimately struggled to monetize their user bases, even after the infrastructure was built. Today, the eventual winners of the AI adoption phase remain uncertain. However, the financial strength of the infrastructure providers creates a stronger foundation for future AI-driven businesses to emerge.

    Summary

    There are undeniable parallels between the current AI-driven bull market and the dotcom boom of the late 1990s. Technology stocks are again leading the market, valuations are elevated, speculative pockets exist, and the underlying technological advances could reshape everyday life.

    At the same time, there are key differences in the quality of market leadership, valuation discipline, the scale of speculation, and the stage of the technology cycle. Those distinctions suggest the current environment may be more sustainable than the final stages of the dotcom bubble.

    Overall, the view remains constructive: this bull market may still have further room to run, with the technology sector continuing to lead. Industrials are also expected to benefit as AI infrastructure expands and adoption accelerates.

  • The Hidden SpaceX Opportunity: Five Semiconductor Stocks Driving Momentum Ahead of Its IPO.

    A $2 trillion IPO doesn’t emerge in isolation. Long before SpaceX lists on a public exchange, the technology stack behind its reusable rockets and AI-powered systems is already being built by a select group of publicly traded firms—and according to Dylan Jovine, founder of Behind the Markets, most investors are looking in the wrong place.

    “SpaceX doesn’t exist without chips,” Jovine argues. The company’s ability to autonomously land rockets and expand its Starlink satellite network depends heavily on semiconductor technology—designed, fabricated, packaged, and delivered by companies investors can access right now.

    Here are the five stocks Jovine sees as best positioned to gain from this trend.

    Taiwan Semiconductor: The Foundry Powering Every Player on This List

    No matter which company designs the next breakthrough in AI chips—whether it’s NVIDIA, AMD, Intel, or even Elon Musk’s rumored AI5—Taiwan Semiconductor Manufacturing Company (TSMC) is almost always the one that brings those designs to life in silicon.

    Jovine calls TSMC the backbone of the entire AI chip ecosystem, a view reinforced by its latest earnings results.

    “TSMC benefits regardless of who wins the chip race,” he notes. “They’re positioned to succeed across the board.”

    The company commands a leading role in advanced semiconductor manufacturing—one that rivals, and in some respects even surpasses, SpaceX’s dominance in orbital launches.

    That advantage only deepens as chip designs grow more complex. With next-generation GPUs, AI5, and emerging agentic AI processors demanding increasingly advanced fabrication, TSMC’s technological edge becomes more difficult—not easier—for competitors to match.

    Intel: A CPU Revival the Market Is Only Beginning to Recognize

    The rise of agentic AI—systems capable of taking action, not just generating responses—is quietly reshaping demand across the semiconductor landscape.

    In the early phase of the AI boom, GPUs dominated, with roughly eight GPUs sold for every CPU. According to Jovine, that ratio has already tightened to around four-to-one, and Intel’s CEO has indicated it could eventually move closer to parity.

    For Intel, whose core strength has long been CPU design, that shift represents a major tailwind. “It’s like a comeback story,” Jovine suggests, likening it to a powerful return rather than a fading legacy.

    The stock has already begun to reflect this changing narrative, climbing more than 100% in the past month. Still, Jovine argues the opportunity is rooted in structural demand, not short-term hype. With the so-called “Magnificent Seven” expected to pour nearly $200 billion into AI infrastructure, the need for CPUs—especially for agentic workloads—is scaling faster than the industry was built to handle.

    That gap between demand and supply is exactly where pricing power tends to emerge.

    For those concerned about entering after a sharp rally, Jovine takes a balanced view: periods of consolidation are both natural and necessary. The broader trend, he believes, is still in its early stages.

    AMD: Positioned to Capture Both Ends of the AI Boom

    Advanced Micro Devices is benefiting from the same surge in CPU demand that’s boosting Intel, while also gaining from its exposure to GPUs.

    The stock has jumped करीब 70% over the past month, fueled by the broader wave of enterprise spending on AI infrastructure.

    Microsoft has indicated that around 90% of Fortune 500 companies are now exploring agentic AI solutions—and AMD plays a key role in enabling that shift.

    The investment case is clear: as businesses push cloud providers to integrate more autonomous, agent-driven capabilities, that demand cascades down to chipmakers. AMD is right in the middle of that flow.

    NVIDIA: “Cheap” on a Different Scale

    It’s not a word most investors would use for NVIDIA—but Jovine does: cheap, at least in relative terms.

    While Intel and AMD have surged on the CPU narrative, NVIDIA has been moving sideways, consolidating as it waits for the next phase of its growth story.

    The initial GPU-driven rally may have cooled, but the rise of agentic AI is setting the stage for a fresh wave of demand in high-performance computing.

    Jovine points to research suggesting a potential $24 trillion valuation for NVIDIA—a figure that naturally invites skepticism, yet is argued on the basis of the company’s dominant market position and exceptional pricing power in GPUs.

    With the Magnificent Seven collectively committing massive capital to AI infrastructure, the question becomes less about if demand materializes and more about where that spending ultimately flows—and NVIDIA remains a primary destination.

    Amkor Technology: The Overlooked Link in the Semiconductor Chain

    The least recognizable name on the list may offer one of the more compelling opportunities.

    Amkor Technology operates in semiconductor packaging—a segment that was historically viewed as a low-margin, commoditized business.

    That perception is shifting. As chip architectures grow more complex, companies like Taiwan Semiconductor Manufacturing are increasingly producing “chiplets”—modular components that must be precisely assembled before they can function as a complete system.

    This is where Amkor comes in. Modern chip packaging now involves highly advanced processes, requiring precision engineering at microscopic scales. As complexity rises, so does the value—and strategic importance—of companies providing these services.

    Jovine highlights a key signal: when TSMC built its major fabrication plant in Arizona, Amkor followed by establishing its own facility just seven miles away. That proximity isn’t accidental—it reflects a tightly linked supply chain, with Amkor’s performance increasingly tied to TSMC’s production volumes.

    After rallying about 65%, the stock saw a modest pullback in late April. Jovine views this not as a red flag, but as a typical consolidation phase following a sharp repricing—suggesting the broader investment thesis remains intact.

    AI Spending Keeps the Momentum Alive

    SpaceX may be capturing the spotlight, but the real enablers are already trading in public markets. From chip design and fabrication to advanced packaging, the backbone supporting what could be the most anticipated IPO in history runs through these companies—and the Magnificent Seven’s record-level AI spending continues to reinforce that demand.

    This trend has staying power. The cycle doesn’t fade until the capital behind it does.

  • 3 Software Stocks to Buy During the Pullback as AI-Driven Earnings Growth Accelerates

    • Salesforce, Adobe, and HubSpot have each experienced sharp year-to-date declines in their share prices.
    • However, despite the pullback, all three continue to deliver strong fundamentals, including double-digit revenue growth, industry-leading profit margins, and robust long-term earnings expansion forecasts.
    • The analysis below examines why these companies are increasingly viewed as “buy-the-dip” opportunities in the current market environment.

    Software equities have come under heavy selling pressure in 2026, with many major enterprise software names falling sharply on worries about AI-driven disruption, lengthening sales cycles, and a broader shift away from high-growth tech.

    Despite this backdrop, industry leaders like Salesforce (NYSE:CRM), Adobe (NASDAQ:ADBE), and HubSpot (NYSE:HUBS) continue to report strong operating performance while accelerating the monetization of AI capabilities.

    As a result, these companies are now trading at multi-year low valuation multiples even as subscription revenues remain resilient and forward guidance is stable or improving. This disconnect is creating potential long-term entry opportunities for investors looking to accumulate high-quality growth names at discounted levels.

    Salesforce (NYSE: CRM)

    Year-to-Date Performance: -33.3%
    Current Price: $176.53
    Fair Value Estimate: $282.84 (+60.2% upside)
    Market Cap: $144.4B

    Salesforce has emerged as a notable laggard in 2026, with its share price down roughly one-third year-to-date amid broader software sector de-rating and concerns about moderating growth in its core business.

    Even so, the company continues to demonstrate solid fundamentals, supported by AI-driven product enhancements and ongoing enterprise demand, which helps reinforce its long-term growth narrative despite near-term market weakness.

    Salesforce Price Chart

    However, Salesforce’s AI initiatives—particularly Agentforce and its broader agentic AI suite—are beginning to show meaningful traction, with accelerating adoption and improving bookings momentum as enterprises integrate more autonomous workflow capabilities.

    From a valuation standpoint, the stock now trades at levels well below its historical averages for a company of its scale and quality, which many analysts see as increasingly attractive. Salesforce is projected to deliver nearly 94.3% EPS growth, alongside an estimated 11.0% increase in revenue.

    Wall Street consensus currently places a price target of $270.93, implying about 53.5% upside from current levels, while InvestingPro’s AI-driven models suggest roughly 60.2% upside, broadly aligning with a fair value estimate of $282.84.

    Salesforce Valuations

    With its next earnings report scheduled for June 3, 2026, Salesforce has an opportunity to reassert its leadership in both cloud software and AI-powered CRM solutions, potentially reinforcing investor confidence in its long-term growth trajectory.

    Adobe (NASDAQ: ADBE)

    Year-to-Date Performance: -29.7%
    Current Price: $246.10
    Fair Value Estimate: $398.38 (+60.1% upside)
    Market Cap: $99.5B

    Adobe has also been heavily sold off, with shares down nearly 30% year-to-date and now trading well below its 52-week high of $422.95. The decline reflects broader pressure across software stocks as well as investor concerns around AI disruption and shifting creative software dynamics.

    At the same time, Adobe continues to make meaningful progress in integrating AI into its creative suite, strengthening its positioning in generative tools and workflow automation. This innovation cycle helps support its long-term growth outlook despite near-term volatility.

    Adobe Systems Price Chart

    The company recently delivered another earnings beat in March, with both EPS and revenue surpassing expectations, driven by continued strength in its subscription-based business model.

    Looking ahead, Adobe’s earnings are forecast to grow by 40.1%, while its free cash flow yield stands at an attractive 7.2%, a level that compares favorably with most peers in the software sector.

    Momentum in its AI strategy is also accelerating. Adoption of Firefly generative AI tools has been strong, with generative credit usage rising more than 45% sequentially. Firefly-related ARR increased 75% quarter-over-quarter, while AI-first applications have more than tripled year-over-year, underscoring rapid integration of AI across Adobe’s product ecosystem.

    Adobe Valuations

    With a forward P/E of just 10.5x, Adobe is trading at a notably compressed valuation despite its continued earnings strength and expanding AI-driven product momentum. Against this backdrop, a fair value estimate of $398.38 implies roughly 60.1% upside from current levels, reinforcing the view that the market may have overcorrected on the stock’s recent weakness.

    HubSpot (NYSE: HUBS)

    Year-to-Date Performance: -44.7%
    Current Price: $221.76
    Fair Value Estimate: $303.95 (+37.1% upside)
    Market Cap: $11.4B

    HubSpot has been one of the hardest-hit names in the software sector, with shares declining nearly 45% year-to-date amid widespread weakness across high-growth SaaS stocks and ongoing concerns about slower enterprise spending. As a result, the stock now trades well below its 52-week high of $344.71.

    Despite the sharp correction, HubSpot remains a standout in the small-to-mid-cap software space, with its pullback reflecting more of a sector-wide de-rating than a deterioration in its underlying business fundamentals.

    HubSpot Price Chart

    This sharp sell-off contrasts with HubSpot’s “Strong Buy” consensus rating, which reflects continued confidence in its underlying business strength.

    The company has maintained solid growth in its inbound marketing and sales platform, while expanding AI-driven capabilities that enhance customer acquisition, automation, and retention tools.

    Recent earnings reports have consistently delivered upside surprises in both revenue and profitability, reinforcing the durability of its SaaS model even in a more cautious spending environment. Looking ahead, the upcoming Q1 2026 results (expected on May 7) are seen as an important catalyst that could further validate HubSpot’s long-term growth trajectory.

    HubSpot Valuations

    At current levels, HUBS appears undervalued based on AI-driven quantitative models from InvestingPro, suggesting a potential 37.1% upside toward its estimated fair value of $303.95 per share.

    This gap between price and intrinsic value highlights a meaningful dislocation in the stock, especially when combined with HubSpot’s strong competitive positioning in inbound marketing software and its expanding suite of AI-enabled tools that enhance customer acquisition, engagement, and retention.

    Taken together, its resilient growth profile, innovation pipeline, and discounted valuation support the view that HubSpot remains an attractive buy-the-dip opportunity within the broader software sector.

    Bottom Line

    What unites Salesforce (CRM), Adobe (ADBE), and HubSpot (HUBS) is not just the magnitude of their recent selloffs, but the growing disconnect between depressed share prices and still-strong underlying business fundamentals.

    Despite short-term concerns around software demand cycles and AI disruption, each company continues to demonstrate durable growth, expanding AI capabilities, and resilient recurring revenue models.

    Historically, periods of heavy pessimism in high-quality software names have often proven temporary. For long-term investors able to tolerate volatility, these pullbacks may represent a rare opportunity to accumulate leading SaaS platforms at discounted valuations.

  • Logistics firm GLP seeks $20 billion valuation in planned Hong Kong IPO, sources say

    Singapore-based logistics firm GLP is targeting a valuation of around $20 billion through a potential initial public offering in Hong Kong, which could take place as early as this year, according to two people familiar with the matter.

    The company has been discussing the possible listing with advisers including Citigroup and Morgan Stanley, one source and a third person with knowledge of the plans said.

    However, both the size and timing of the offering have yet to be finalized.

    Under the rules of the Hong Kong Exchanges and Clearing, large-cap companies typically float at least 15% of their shares in an IPO.

    The sources declined to be identified as the discussions are private. GLP, Citigroup and Morgan Stanley all declined to comment.

    If completed, the listing would add a major name to a revitalized equity capital market in Hong Kong, where the current IPO pipeline is largely dominated by companies from China.

    After ranking first globally for IPO fundraising last year, Hong Kong entered 2026 with a strong pipeline. About $5.5 billion was raised through IPOs and secondary listings in January alone, according to data from HKEX and London Stock Exchange Group.

    Return to public markets

    A Hong Kong listing would mark a return to public markets for GLP, which was taken private from the Singapore Exchange in 2017 in a S$16 billion ($12.6 billion) deal led by investors backing CEO Ming Mei.

    Investors involved in the privatization included Hopu Investment, Hillhouse, the investment arm of Bank of China, and Ping An Insurance.

    GLP describes itself as a global thematic investor and business builder focused on logistics real estate, digital infrastructure, renewable energy and related technologies. The firm manages more than $80 billion in assets across real assets and private equity.

    In recent years, GLP has sought to strengthen its capital base and reshape its business. In August, a subsidiary of the Abu Dhabi Investment Authority agreed to invest up to $1.5 billion in the company.

    Earlier, in March 2025, GLP sold GCP International to Ares Management in a deal that included $3.7 billion upfront and a potential earn-out of up to $1.5 billion.

    Sources: Reuters

  • Nvidia: AI Boom May Be Losing Steam as $78bn Forecast Falls Short of Expectations

    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.

    Sources: Nigel

  • Markets in focus: Nvidia, Salesforce results and U.S.–Iran nuclear negotiations

    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.

    Sources: Scott Kano

  • 1 Stock to Buy, 1 to Sell This Week: Nvidia and Intuit

    • 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.

    Trade Setup:

    • Entry: Near current levels (around $381)
    • Target: $355 (approximately 7% downside)
    • Stop-Loss: $400 (about 5% risk)

    Sources: Jesse Cohen

  • Three crucial earnings releases this week that could sustain the AI rally.

    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.

    Sources: Investing

  • Energy vs. Tech: Where Is Capital Rotating Now?

    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.

    Sources: Tafara Tsoka

  • Alphabet Signals AI Confidence as Capital Spending Ramps Up

    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.

    Sources: Pratyush Thakur

  • Five major analyst moves in AI: Microsoft stock downgraded as it’s seen as “due for a pause.”

    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.

    Sources: Vahid Karaahmetovic

  • Tech Stocks Face Valuation Pressure as AI Uncertainty Fuels Volatility

    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.

    Sources: Louis Navellier

  • AI holds up a mirror to tech—and the reflection is unsettling

    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.

    Sources: Stephen Innes

  • Meta shares stabilize as growth outlook begins to outweigh CapEx worries

    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.

    Sources: Marketbeat

  • Wall Street futures edge lower as Microsoft’s decline drags, while Apple tops expectations

    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.

    Sources: Investing

  • Five major analyst AI calls: Microsoft upgraded, Arm downgraded; Google raised to Strong Buy

    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.

    Sources: Investing

  • TSMC’s Q4 earnings exceed expectations driven by AI demand; plans significantly increased capital expenditure in 2026

    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.

    Sources: Investing

  • Nvidia: Its Potential to Revive the Autonomous Driving Sector in the United States

    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.

    Sources: Investing

  • BofA Unveils Top 10 U.S. Investment Ideas for Q1 2026

    Bank of America has unveiled its latest list of high-conviction U.S. stock ideas for Q1 2026, featuring nine Buy-rated names and one Underperform recommendation.

    Bank of America’s quarterly lineup features companies identified as having “significant market and business-related catalysts in the quarter ahead,” according to BofA strategist Anthony Cassamassino.

    The Buy recommendations cover nine industries and include Amazon, Boeing, Cigna, Constellation Energy, Dollar General, Equinix, Merck, Spotify, and Vertex Pharmaceuticals. The only Underperform rating goes to homebuilder Lennar.

    The bank emphasized that this list targets short-term opportunities and will be updated only at the start of each quarter unless there are rating changes.

    While artificial intelligence remains a key theme, BofA noted that “the drivers for the broader list are more diverse.” Legislative developments could act as a catalyst for Cigna, while Merck stands out due to its “attractive valuation.”

    Dollar General may benefit from “higher-than-expected tax refunds in the first quarter of 2026.”

    Amazon tops BofA’s large-cap internet stock picks, given its exposure to AI through AWS and the bank’s expectation of accelerating AWS revenue growth into 2026.

    “For Boeing, we expect the first quarter to focus on commercial production rates,” Cassamassino added. “Stable production is crucial for investor confidence and the company’s momentum this year.”

    For the broader market, BofA’s U.S. equity strategist Savita Subramanian cautioned that “there is no way to sugar coat it – the S&P 500 is expensive.”

    However, she highlighted Health Care, Information Technology, and Real Estate as sectors that “screen attractive near-term.”

    Sources: Investing