Wall Street Sees AI Spending Rolling On Despite Slowdown Calls

Wall Street is treating calls to slow frontier AI development as unlikely to interrupt the infrastructure build-out behind it. Alphabet, Amazon, Meta and Microsoft recorded $293 billion in combined capital expenditures in the first two quarters of 2026 and were reportedly on pace to spend nearly $600 billion on AI infrastructure for the year.

The spending outlook follows Anthropic CEO Dario Amodei’s public appeal for the industry to slow down. OpenAI CEO Sam Altman and Elon Musk echoed that call. But D.A. Davidson technology analyst Gil Luria said major hyperscalers are not slowing AI development or spending.

The disagreement is not just about whether companies acknowledge safety risks. Amodei and the leaders backing him want a slower pace for advanced-model development. The capital-expenditure figures instead show spending on the data-center infrastructure that supports AI work, and the annual figure is a forecast rather than a completed total.

$293 billionFirst-half capital expenditures

Alphabet, Amazon, Meta and Microsoft recorded this total across the first two quarters of 2026, according to AlphaSpace data cited by Yahoo Finance.

Nearly $600 billionReported 2026 AI infrastructure pace

The figure is a reported pace for the full year, not a completed 2026 spending total.

The spending was accelerating in the cited data: Meta’s capital expenditures rose 58% quarter over quarter, while Amazon and Google also increased spending. Luria argued that even if hyperscalers overbuild over the next year or two, they could absorb the extra capacity; he said their cash flow could rise in that scenario.

The slowdown appeal also faces political resistance. President Donald Trump rejected calls for AI-model guardrails and said the United States is winning the AI race against China. That framing puts continued development inside a competitive contest, rather than treating voluntary restraint as the immediate priority.

The immediate tension is between a request to slow capability gains and a spending cycle investors expect to continue. The spending pace does not establish that every project will succeed, and it does not show that model developers will reject restraint. It does show why a voluntary slowdown will confront powerful expectations for continued infrastructure expansion.