Microsoft and Meta Lag the AI Trade as Chipmakers Post Record Quarter

What changed in the second quarter's AI trade

The second quarter was one of the strongest stretches for US stocks in years, with major indexes posting their best returns since 2020 and semiconductor makers turning in their best quarter on record. Underneath that headline strength, a split has opened up between the chip companies supplying the AI buildout and the hyperscalers paying for it.

Why it matters for hyperscaler and semiconductor stocks

Microsoft and Meta Platforms are the names investors are singling out. Both companies have been ramping capital spending on data centers, custom chips and cloud infrastructure to chase AI demand, and both have underperformed the broader tech rally even as the companies actually selling the hardware behind that buildout have soared. The gap reflects a shift in what investors are rewarding right now: cash flow the market can see and measure today for the suppliers, against a promise of future returns on capex for the companies doing the spending.

This is a real divergence in how the market is pricing AI exposure, not just noise. Microsoft and Meta both carry elevated capital expenditure tied to AI infrastructure, and so far that spending shows up as a cost before it shows up as a clearly attributable revenue line. Investors who rewarded that story earlier in the AI cycle are now asking harder questions about payback periods, and that scrutiny weighs on the stocks even when the underlying cloud and advertising businesses remain healthy.

Which stocks, and why

For Microsoft, the concern centers on Azure's capital intensity. Every dollar spent building AI capacity needs to eventually show up in Azure growth or Copilot adoption that investors can point to, and until it does clearly, the stock carries a discount for capex risk. For Meta, the same dynamic plays out around its own data center and custom-silicon spending, layered on top of a core advertising business that still has to prove it benefits from AI investment rather than simply fund it. Both remain profitable, well-capitalized companies. The issue here is sentiment and valuation discipline, not a deterioration in their underlying businesses.

What to watch

The next round of quarterly earnings and capital-spending guidance from both companies will matter more than day-to-day stock moves. Watch whether Microsoft's Azure growth rate or Meta's ad revenue growth accelerates enough to justify the capex, and watch commentary on capital spending plans for the rest of the year. If either company signals slower capex growth or clearer AI monetization, that would directly address the concern driving the current underperformance.