AI trends drive US tech stocks as $750B capex reshapes H2

AI monetization and capital spending sustainability have replaced macro tail risks as the central questions for US tech stocks, with hyperscalers projected to spend more than $750 billion on AI infrastructure in 2026, according to Intellectia.ai.

"Market understanding of AI is returning to rationality, with more urgent demands for short-term ROI," CITIC Securities said in a July 14 research report. The brokerage identified AI monetization, hyperscaler capex sustainability, and value chain allocation as the three focal points for the second half.

The tension is already visible in chip stocks. The PHLX Semiconductor Index has gained about 60 percent this year, yet strong earnings from Samsung and Cerebras triggered sell-offs as markets priced in perfection. Samsung projected a massive profit increase on memory strength; its stock fell after a 360 percent rally over the prior 12 months. Meta Platforms plans to sell excess computing capacity — bulls see smart monetization while bears read it as a sign of overbuying.

The gap between real demand and elevated expectations will sustain volatility. Pat Gelsinger, former Intel chief now at Playground Global, calls AI demand almost unlimited, with energy as the sole real constraint. Lumentum reports its data-center components sold out five years in advance. The question is whether current stock prices reflect that trajectory or have raced too far ahead.

Energy Emerges as the Binding Constraint

Power availability now dictates the pace of AI expansion. Grids cannot scale on quarterly timelines; permitting drags for years. Nvidia-backed startups raised fresh rounds this spring to address data-center electricity shortages. Turbines, transmission lines and fuel contracts move far slower than silicon wafers. Chipmakers ship product while operators wait for the juice to run it. That mismatch explains why infinite demand collides with finite reality.

Hyperscalers Microsoft, Amazon, Google, Meta and Oracle could spend more than $750 billion on AI infrastructure in 2026, per Intellectia.ai. Memory prices have soared as supply stays tight. SK Hynix and Micron posted blowout quarters. Micron's latest forecast shattered estimates on insatiable AI memory demand, Bloomberg reported in June. Yet the same reports triggered sell-offs. Investors fear any slowdown in the spending spree.

Valuation Meets Reality in Chip Stocks

The current cycle differs from the dot-com era. Companies driving this rally post actual profits. Nvidia holds more than 80 percent of the AI accelerator market. AMD, Broadcom and others grab share where they can. Still, concentration worries some observers. Market share at current levels exceeds peaks seen around 2000. Hundreds of billions in capital expenditure must still prove returns.

SoftBank's Masayoshi Son dismisses bubble talk, calling it an insult. The build-out represents a generational infrastructure shift, he argues. Suppliers echo the tone. Optical components for connecting thousands of GPUs inside clusters remain critically short. Demand shows no plateau.

But execution must stay flawless. Any delay in new fabrication capacity, any hiccup in advanced packaging, any revision to capex plans sends tremors. Recent trading reinforces the tension. Chip stocks tumbled in early July on renewed AI anxiety, a CNBC report detailed on July 12. SK Hynix comments about moderating AI memory expansion rippled across global markets. Nvidia, Broadcom and others gave back ground quickly. Hyperscaler spending commitments remain intact. The reaction shows how sensitive valuations have become.

The Investor Takeaway

For investors, the key question is which parts of the AI value chain offer the best risk-reward. CITIC Securities recommends focusing on hyperscaler platforms, application software with revenue growth inflecting higher, and internet names — while cautioning against high-expectation cybersecurity and infrastructure software. Hardware and semiconductor trading is likely to narrow toward short-term high-certainty segments.

Nvidia trades at about 22 times forward earnings, a discount to the S&P 500. Microsoft, down about 30 percent from its all-time highs, trades at 20 times forward earnings with an AI business producing $37 billion in annual recurring revenue growing at 123 percent. Meta Platforms trades at 18 times forward earnings. These valuations reflect the market's skepticism about near-term ROI — a skepticism that CITIC Securities says will define the second half.

This article is for informational purposes only and does not constitute investment advice.