Microsoft shares rise 9% while Meta drops 9% after earnings: AI trade splits Big Tech

The latest earnings season delivered a stark contrast between two AI‑heavy giants. Microsoft reported a 9% jump in its shares after a strong Azure revenue beat and rapid adoption of Copilot, while Meta’s stock slid the same amount on a miss in revenue guidance and a 91% plunge in free‑cash flow. Investors are now rewarding the company that appears to be monetizing its AI investments and penalizing the one still grappling with cost overruns. This split highlights how quickly the market can separate winners from laggards in the AI race.

What happened

Microsoft posted fiscal Q4 revenue that beat analyst estimates, driven by a 43% surge in Azure revenue and an expansion of Microsoft 365 Copilot to over 30 million paid seats, up from more than 20 million in April. The company also reaffirmed its 2026 capital‑expenditure forecast and hinted at a possible increase in spending for fiscal 2027, sending its shares up 9% in pre‑market trading and 8% in extended trading.

Meta, by contrast, missed revenue expectations for the current quarter, guiding between $61 billion and $64 billion versus the $63.15 billion consensus. Its free‑cash flow plunged 91% year‑on‑year to $784 million, reflecting heavy AI‑related outlays, and its shares fell 9% in pre‑market trading.

Why it matters

The divergent moves underscore how investors are pricing AI execution risk. Microsoft’s ability to translate AI services into revenue growth reassures shareholders and supports a higher valuation, while Meta’s lagging monetization and cash‑flow strain raise concerns about the sustainability of its AI spend. The split may influence capital allocation decisions across the sector, with firms re‑evaluating the balance between aggressive AI investment and near‑term profitability.

How to think about it

Investors should weigh short‑term earnings momentum against longer‑term AI strategy. For companies like Microsoft that show clear AI‑driven revenue traction, a higher price‑to‑earnings multiple may be justified. Conversely, firms still burning cash on AI without clear monetization, such as Meta, warrant closer scrutiny of cash‑flow health and guidance credibility. Diversifying exposure across AI leaders with proven business models can mitigate the volatility seen in this earnings cycle.

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