The S&P 500 and Nasdaq Composite indices are trading at historic highs, with a rapid surge in chip stocks reigniting enthusiasm for AI-related investments. Last Friday, NVIDIA (NVDA.US) saw its market capitalization exceed the $5 trillion threshold, while Intel (INTC.US) recorded its most substantial single-day gain since 1987. This fervent sentiment reflects investors' growing focus on the infrastructure required to power "agentic AI," a model where robots or intelligent agents perform tasks on behalf of users. Explosive growth in the usage of such applications is driving increased demand for central processing units (CPUs)—like those manufactured by Intel. The Philadelphia Semiconductor Index extended its winning streak to 18 consecutive trading days last Friday.
Cody Acree, a Senior Semiconductor Research Analyst at Benchmark, stated in an interview, "We have just returned to a state of optimism surrounding the AI trade." He added, "I believe the optimistic demand outlook is justified. The demand, spending, and capital expenditure budgets are very real." Hyperscale cloud computing giants are projected to invest approximately $650 billion in AI infrastructure this year, with little indication of when this investment pace might begin to slow. Although the semiconductor industry has historically been cyclical, the rapid pace of the AI boom makes it difficult to precisely predict when the cycle might peak and growth could start to decelerate.
"We are only at the beginning of the 'inference' phase. This phenomenon only emerged around the middle of last year—so it's still in the early stages," said Matt Bryson, an Equity Analyst at Wedbush Securities. He was referring to the phase where trained AI models apply patterns to predict outcomes or respond to user prompts. Intel's performance also bodes well for peers like Advanced Micro Devices (AMD.US), which is scheduled to report earnings next month. "We had considered CPUs to be the next major bottleneck, but Intel's results indicate this has translated into very substantial growth potential," said D.A. Davidson analyst Gil Luria, who upgraded AMD to a "Buy" rating last Friday.
Strategists point out that every segment of the AI infrastructure chain is attracting investment, from processors to connectivity solutions. "Any company related to AI, serving bottleneck demand, whether it's compute, memory, or connectivity," Benchmark's Acree noted, "you could buy a basket of these companies and they would perform exceptionally well." With the market's focus remaining squarely on corporate earnings, equities have largely disregarded uncertainties stemming from geopolitical tensions and persistently high oil prices around $100 per barrel.
Goldman Sachs strategist Ben Snider projects the S&P 500 could reach 7600 points by year-end. "Against a backdrop of sustained earnings growth, U.S. equities should continue to set new records in the coming months," Snider wrote last week. The strategist recommends maintaining exposure to players that stand to benefit from the AI trade. He added, "Within the equity market, we believe investors should skew portfolios toward long-term growth companies with unique earnings drivers and limited exposure to AI disruption risks—such as those related to power infrastructure investment—rather than stocks tied to broad economic growth."
GE Vernova Inc. (GEV.US) hit a record high last week following a strong earnings report, driven largely by robust demand for its gas turbines and electrification services.
Of course, risks persist. While tech giants hold dominant market positions, they are not entirely immune to macroeconomic challenges. Furthermore, disappointments related to AI costs could potentially unravel the current rally. Earlier this year, capital expenditure figures that exceeded expectations unsettled investors, leading to a downturn in the "Magnificent Seven" stocks, which fell 16% in the first quarter of 2026—more than double the decline of the S&P 500. Aggregate data indicates that combined capital expenditure from Microsoft, Alphabet, Amazon.com, and Meta Platforms, Inc. is forecast to reach $649 billion in 2026, up from $411 billion in 2025.
Brian Barbetta, Co-Head of the Technology Team at Wellington Management and Co-Portfolio Manager of the Global Innovation Strategy, which manages approximately $50 billion, stated that these companies need to demonstrate that this spending will yield strong returns. "We believe the capital being deployed has a strong return on investment (ROI) profile, which should lead to accelerated growth and margin expansion over time," Barbetta said. However, the scale of investment is negatively impacting cash flows. Amazon.com's free cash flow for the first quarter is projected to be negative $13.3 billion, which would be its largest deficit since 2022, a period marked by heavy investment in warehouses to meet pandemic-driven demand. Meta Platforms, Inc.'s Q1 free cash flow is estimated at $4 billion, its lowest level in nearly four years.
In response, some companies are implementing cost-cutting measures. Meta and Microsoft have announced plans for workforce reductions to help offset the impact of increased AI spending. News of these measures on Thursday led to declines in both companies' stock prices. Investors are likely to monitor these companies' cloud computing businesses closely, where demand from AI startups like Anthropic and OpenAI is driving rapid sales growth, even leading to capacity constraints. The largest cloud service provider, Amazon Web Services, is anticipated to report a 26% revenue increase for the first quarter, while sales from Microsoft Azure and Google Cloud are projected to grow by 38% and 50%, respectively.
Last quarter, Azure's 38% revenue growth failed to meet investor expectations, causing Microsoft's stock to drop 10% the day after its earnings report. According to Allen Bond, Portfolio Manager at Jensen Investment Management, excitement surrounding new AI services from Anthropic has alleviated many concerns about whether such investments will ultimately prove profitable. He added that while these developments cause anxiety for some software makers perceived as vulnerable to disruption, they represent a positive for large technology companies actively investing for the future. "The fundamentals of these businesses are exceptionally strong, with high and stable margins, and their price-to-earnings ratios don't appear excessively stretched," Bond said. "In terms of appeal, the mega-cap companies exist in a different universe."
Comments