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These 5 Stocks Are at the Center of the AI Supply Squeeze
Submitted by Ryan Hasson. Published: 2/23/2026.
Key Points
- AI adoption is accelerating globally, but infrastructure buildout is lagging, creating bottlenecks across various industries.
- Companies like SanDisk and Micron are benefiting from supply constraints, which are strengthening pricing power and earnings momentum.
- ASML and GE Vernova sit at critical chokepoints in chip manufacturing and power generation, positioning them to gain as AI demand continues to scale.
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Artificial intelligence continues to dominate headlines, boardrooms and capital markets. It's not just a buzzword — it's a structural technological shift that is reshaping industries in real time. Yet despite the excitement, adoption remains relatively early. According to research published by Microsoft (NASDAQ: MSFT), only about one in six people currently use generative AI tools. Even so, global AI adoption surged 20% in 2025 to nearly 400 million users worldwide.
That statistic highlights two realities: demand is accelerating rapidly, and the runway for further adoption remains enormous. While current usage is concentrated in developed markets, emerging economies represent a major long-term expansion opportunity. As models become more capable and real-world use cases multiply, AI will likely become increasingly embedded in daily workflows, enterprise systems and consumer applications.
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In 2000, I warned Barron's that a popular dot-com stock was headed for trouble. It dropped 90%. Now I'm making the opposite call on that same company: buy it now. This stock has become the lifeblood of AI data centers, yet almost no one has caught the story. While the media focuses on AI chip wars, they've missed this company's essential role in building out data centers. Their hardware is so critical that a single building uses enough of it to stretch around the world eight times. If you own Nvidia, you might want to pivot. If you missed Nvidia, this is your second chance at the AI data center buildout happening worldwide.
See the under-the-radar play fueling AI data centersWith that surge in adoption comes a second-order effect: infrastructure strain. AI models require enormous compute power, memory bandwidth, data storage, specialized chips and electricity. In several areas of the supply chain, demand is already outpacing supply. When bottlenecks emerge, pricing power often follows.
Here are five stocks positioned at critical pressure points in the AI ecosystem that could benefit from sustained demand and potential supply constraints.
SanDisk: Storage at the Core of AI
SanDisk (NASDAQ: SNDK) has been one of the market's strongest performers this year, after ranking as the S&P's top performer for 2025. The company develops NAND flash memory solutions used across data centers, enterprise systems, mobile devices and edge computing platforms.
AI workloads are intensely storage‑dependent. Training and running large language models requires rapid access to massive datasets, so as hyperscalers and enterprises scale AI deployments, demand for high-performance storage rises in tandem.
Over the past year, a global shortage of NAND flash memory collided with accelerating AI-driven demand, producing a sharp rise in prices — NAND prices nearly doubled in the second half of last year. That dynamic created a powerful earnings tailwind.
In its latest quarterly report, released Jan. 29, 2026, SanDisk posted EPS of $6.20, well above analyst expectations of $3.31. Revenue rose 61% year over year to $3.03 billion, beating consensus estimates. Guidance for the following quarter called for revenue of $4.4 billion to $4.8 billion, with gross margins projected at 65% to 67%.
With supply still tight and AI-related storage demand growing, SanDisk remains directly exposed to one of the most important infrastructure layers in the AI stack.
Micron Technology: High-Bandwidth Memory Powerhouse
Micron Technology (NASDAQ: MU) is another memory-focused beneficiary of AI-driven bottlenecks. The company is a leading supplier of high-bandwidth memory, a critical component in advanced AI accelerators and GPUs.
High-bandwidth memory enables processors to move vast amounts of data quickly — a necessity for training and inference at scale. Micron is one of only a handful of global suppliers in this segment, giving it meaningful leverage when supply tightens.
Shares have climbed sharply, up roughly 50% this year. In its fiscal first-quarter 2026 results, Micron reported EPS of $4.78, beating expectations of $3.77. Revenue surged nearly 57% year over year to $13.64 billion, topping forecasts.
Analysts expect continued strength, with upcoming quarterly estimates projecting significant year-over-year growth. Institutional ownership remains high, and the stock has attracted substantial net inflows over the past 12 months.
As AI models become larger and more complex, memory intensity per chip continues to increase — a structural trend that reinforces Micron's positioning in a market where supply constraints can translate directly into pricing power.
Nebius: Scaling AI-Native Infrastructure
Nebius Group (NASDAQ: NBIS) provides exposure to a different segment of the AI ecosystem: full‑stack AI infrastructure. The company offers AI-native cloud services, developer tools and large-scale data center capacity tailored for training and running AI models. As enterprises increasingly seek purpose-built infrastructure rather than generic cloud compute, Nebius is expanding aggressively.
The company is targeting between 800 megawatts and 1 gigawatt of connected capacity by the end of 2026, with contracted power guidance recently raised to more than 3 gigawatts. That scale matters in an environment where AI data center capacity is increasingly scarce.
In its latest quarterly report, Nebius delivered year-over-year revenue growth of more than 500%, although quarterly revenue slightly missed expectations because of timing-related capacity recognition. Management reiterated its ambitious 2026 annual recurring revenue target of $7 billion to $9 billion and emphasized that demand continues to outpace supply.
Longer-duration contracts, improved pricing and strong enterprise demand suggest capacity constraints could continue to support favorable economics. Shares have surged more than 100% over the past year, reflecting growing investor recognition.
ASML Holding: The Gatekeeper of Advanced Chips
ASML Holding (NASDAQ: ASML) sits at perhaps the most critical chokepoint in the semiconductor supply chain. The Dutch company manufactures advanced photolithography systems, including extreme ultraviolet (EUV) lithography machines required to produce leading-edge chips. Without ASML's equipment, many advanced AI processors cannot be manufactured at scale.
Chip designers may capture headlines, but they depend on ASML's machines to fabricate cutting-edge semiconductors. The company's near-monopoly in EUV lithography gives it unique pricing power and strategic importance.
As global demand for AI chips surges, semiconductor foundries must invest heavily in new fabrication capacity, which in turn drives sustained demand for ASML's systems. Shares have rallied strongly over the past year, and analysts remain broadly constructive on the long-term outlook.
GE Vernova: Powering the AI Revolution
GE Vernova (NYSE: GEV) may not design chips or build servers, but it addresses another emerging bottleneck: electricity. AI data centers consume enormous amounts of power, and as hyperscalers race to expand capacity, reliable and scalable power generation becomes essential. In many regions, grid infrastructure is already strained.
GE Vernova designs and services equipment across the power generation and grid value chain, including gas turbines, renewable platforms and grid modernization technologies. Its positioning makes the company a pick‑and‑shovel play on the physical infrastructure required to sustain AI growth.
The stock has surged more than 130% over the past year and continues to trade with growth-like characteristics. In its most recent quarterly report, GE Vernova significantly exceeded earnings expectations, helped in part by a one-time tax benefit, and raised its multi-year outlook. Management projects 2026 revenue between $44 billion and $45 billion, with longer-term expansion targets reaching beyond $56 billion by 2028.
As AI-driven electricity demand accelerates, companies enabling generation and transmission capacity could remain in focus.
Where Demand Meets Constraint
AI adoption is expanding rapidly, but infrastructure buildout is struggling to keep pace. Memory, advanced chips, data center capacity and power generation are all under pressure.
When demand outstrips supply, pricing power often strengthens. SanDisk and Micron sit at the heart of memory bottlenecks. Nebius is scaling AI-specific infrastructure in a capacity-constrained market. ASML controls essential chip-manufacturing technology. GE Vernova powers the energy backbone that enables AI.
If AI demand proves durable and adoption continues to climb globally, these companies are positioned not just to participate, but potentially to thrive amid the bottlenecks shaping the next phase of the AI revolution.
Opendoor Pops After Earnings, But the Big Question Hasn't Changed
Submitted by Chris Markoch. Published: 2/22/2026.
Key Points
- Opendoor beat revenue expectations but posted a larger-than-expected loss, highlighting ongoing profitability challenges.
- The company’s “Opendoor 2.0” strategy focuses on faster inventory turns, AI-driven pricing, and breakeven adjusted net income by 2026.
- Institutional sentiment and sector rotation will likely determine whether OPEN stock can sustain momentum.
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Stock analysis is frequently peppered with sports metaphors, and with good reason—they fit. That's the case with Opendoor Technologies Inc. (NASDAQ: OPEN).
The company reported its Q4 2025 earnings after the market closed, and the results were mixed. Still, that was enough for investors to push OPEN stock up 14% in after-hours trading.
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In 2000, I warned Barron's that a popular dot-com stock was headed for trouble. It dropped 90%. Now I'm making the opposite call on that same company: buy it now. This stock has become the lifeblood of AI data centers, yet almost no one has caught the story. While the media focuses on AI chip wars, they've missed this company's essential role in building out data centers. Their hardware is so critical that a single building uses enough of it to stretch around the world eight times. If you own Nvidia, you might want to pivot. If you missed Nvidia, this is your second chance at the AI data center buildout happening worldwide.
See the under-the-radar play fueling AI data centersThe theme of the earnings report (branded as an "Open House") was: Opendoor 2.0 Does What It Said It Would Do — delivering acquisition growth, faster inventory turns, and stronger cohorts.
It outlined the company's progress on a four-step plan with an eye toward three goals:
- Reach breakeven Adjusted Net Income by the end of 2026 on a 12-month go-forward basis
- Drive positive unit economics while increasing transaction velocity
- Transition to direct-to-consumer relationships and expand its product suite
The report was encouraging, but progress is relative. Opendoor is still unprofitable and generates modest revenue. This feels like the company surviving the first quarter of a four-quarter game: you can't win the game in Q1, but you can lose it. They haven't lost — yet the question remains: what does winning look like?
Mixed Earnings Won't Move the Needle Much
On the top line, Opendoor reported revenue of $736 million, beating expectations of $591.75 million. However, adjusted earnings per share (EPS) came in worse than expected: the loss was $1.26 versus an expected loss of $0.08.
Both revenue and earnings were sharply lower year over year. As a standalone data point that isn't devastating — the company changed leadership and needs time to execute a turnaround — bulls will note the year-over-year revenue shortfall was not as severe as feared.
Call that a point for Opendoor.
The Business Model Has a Proven Achilles Heel
Opendoor went public in 2020 amidst the meme-stock era, and the timing proved to be a double-edged sword. The iBuyer promised to reshape how homes are bought and sold by offering liquidity and convenience: instant cash offers to homeowners who want to sell quickly without listing, showings, and uncertain timelines. The model depends on reselling homes quickly — the faster the resale, the better the economics.
That engine has long relied on algorithmic pricing to decide what to pay sellers, how to price for resale, and which markets to operate in. They may not have been using AI from the start, but AI is now part of the turnaround strategy to make their model more efficient.
The problem with any model is that its output is only as good as the data and the market it's applied to. If conditions shift faster than the model adapts, the company can be left holding depreciating inventory.
That's what happened in 2022. Rising interest rates and a sharply cooling housing market left Opendoor with inventory purchased at much higher prices, forcing massive losses. The stock fell from over $12 early in the year to under $1 by year-end.
Retail bulls may say "this time it's different," but such claims are risky. Interest rates would likely need to move significantly lower to meaningfully unfreeze the housing market, and recent Fed minutes suggest that outcome is not imminent.
The takeaway for investors is caution: AI can help, but it cannot change underlying market dynamics. Opendoor survived a brutal cycle, but the market's equilibrium going forward is still an open question.
How Should Retail Investors View OPEN Stock?
To answer that, note that the gains of over 200% in the past 12 months were supported by strong institutional buying in the third and fourth quarters of last year.
However, that "stimulus" appeared to wane as the year ended. Short interest rose, signaling that some large investors viewed the stock as overextended. That sentiment persisted into 2026, and OPEN was down just over 20% before the earnings release.
The practical implication is that OPEN will likely need renewed institutional buying to sustain a move higher. With evidence of a broader sector rotation away from tech stocks, there may be less appetite for a name that delivered a good — but not great — quarter.
Opendoor remains a speculative investment: a company still proving its model at scale. There's time on the clock, but investors will need patience and conviction to see if Opendoor can turn the promise of Opendoor 2.0 into durable profitability.
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