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The new math defining AI winners and losers

Microsoft had one of its worst selloffs in history after it increased its AI spending plans. Meta did the same, but it was rewarded by investors.

Why it matters: The wildly different market reactions to Meta and Microsoft earnings reveal the new calculus investors are using to evaluate AI winners and losers.


State of play: Microsoft reported solid earnings, with revenue and profit beating expectations, but its stock fell nearly 12%.

  • Cloud revenue was up 39% from a year ago, but that was driven by non-AI workloads. Capital expenditure hit $37 billion for the quarter, a 65% jump.
  • That mismatch is the issue: If a company is spending a lot, fine, but it needs to be spending on AI investments that will make it money now.
  • Meta beat on earnings, and its stock jumped even as it outlined over $115 billion in planned AI spend for the year, because investors believe its AI investments will fuel more growth in its biggest revenue driver: ads.

What they're saying: Meta also has a leg up because it is not a software company. Investor sentiment on software is "negative" to the point of the sector being "extremely radioactive," Anurag Rana, senior analyst with Bloomberg Intelligence, tells Axios.

  • Wall Street has software in the doghouse over concerns that with the explosion of Claude Code, software will be obsolete.
  • The math behind what it takes to value a company completely breaks in a world where AI can replace software entirely.

Zoom in: At the heart of the reaction to both stocks is a simple framework.

  • Analysts use discounted cash flow models to value companies.
  • These models rely heavily on future cash flows and a "terminal value" which is how much the business is worth beyond the forecast period.
  • For big tech companies investing big money into AI, that terminal number can look great, because they stand to benefit from their investments in the technology longer term.
  • This is why Meta was rewarded this earnings season: Its core business, advertising, is generating strong predictable cash.
  • Analysts think AI will eventually add, not erode, Meta's future cash flows, making its valuation math easier to justify even with its huge spending.

Threat level: For software, the problem is some investors view AI as a complete replacement, which would demolish cash flows.

  • This is why some investors see the heavy AI spending and uncertain return timeline from Microsoft as a valuation risk.

Thought bubble: It's interesting investors are rewarding Meta for a business that will either be helped by AI, or not hurt if AI proves to unprofitable.

  • Feels like part of a broader theme also seen in Alphabet's outperformance: Investors like companies that are either making money from AI today, or are fine even if they never do.
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