WisBusiness: Buckley Brinkman: AI’s $3 Trillion Question

Reality is catching up with AI’s true believers.

The excitement about AI’s market potential, its promised transformations, and the riches it is supposed to deliver is colliding with the reality of business returns, competitive pressure, and the yawning gap between addressable markets and real ones. The top AI players know exactly what they’ve invested, what returns their investors expect, and what happens if they miss those stretch goals.

Microsoft, Amazon, Alphabet, and Meta plan to spend $725 billion on capital expenditures in 2026, up from $410 billion in 2025, with roughly 75 percent of that money supporting AI. Beyond the hyperscalers’ own balance sheets, a tangled web of side deals with Oracle, Nvidia, AMD, and CoreWeave put OpenAI on the hook for more than $800 billion in additional commitments. Nvidia added to the pile in late July, floating up to $500 billion in fresh backing for a single OpenAI data-center campus. And much of this build-out runs on borrowed money: hyperscalers alone will add roughly $400 billion in new debt in 2026. AI’s growth must justify an enormous bet.

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