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Microsoft and Alphabet keep pouring billions into AI, and the market starts pricing the payoff

In October 28 earnings, Microsoft reported $45.2 billion of quarterly capital spending and roughly $170 billion for 2026, while Alphabet held 2026 guidance at $195 to $205 billion. Microsoft shares rose; Alphabet's fell.

Microsoft and Alphabet reported earnings on October 28, and both showed the same pattern: cloud revenue growing fast, and capital spending on AI growing faster. Microsoft's revenue rose 19% to $92.3 billion, with its Azure cloud business up 48%, ahead of estimates. Alphabet's Google Cloud unit grew 103%, to $30.7 billion in sales and $11.1 billion in operating income. The question investors pressed on was not demand. It was the bill.

The spend

Microsoft's capital spending reached $45.2 billion for the quarter including finance leases ($39.37 billion in cash), and the company guided to roughly $170 billion for calendar 2026 and more than $50 billion in the current quarter. The figure came in below some analyst expectations, which CFO Amy Hood attributed partly to delays in third-party capacity deliveries rather than any pullback: "We still have demand that exceeds supply," she said. Alphabet held its 2026 capital-expenditure guidance at $195 billion to $205 billion and signaled that 2027 would increase significantly, without giving a number.

The market treated the two differently. Microsoft shares rose after the report while Alphabet's fell, a split that turns less on how much each is spending than on how convinced investors are that the spending will pay.

Why it matters

These are the largest AI bills in the world, and the shift worth noting is that the market has started grading them the way a careful buyer grades any AI spend: not by size, but by return. A capex number that would have been cheered as ambition a year ago now draws the question of what it produces. For a business running its own AI tools, two things follow. First, the supply crunch is real and set to continue, so capacity constraints and price pressure are the operating environment, not a passing phase. Second, the discipline being applied to these companies is the one to apply to your own line: a growing AI bill is only good news if the work it buys is worth more than the bill. The spend is the easy part to see. The value per dollar is the part that decides whether it was wise.

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