Brookings paper says AI needs trillions in annual revenue by 2032 to pay for its data centers

A Columbia economist estimates US AI infrastructure spending could hit $10.3 trillion, and the revenue needed to justify it is enormous The AI industry is building like it expects to become a pillar of the economy. A new Brookings paper has worked out what that would actually take. The estimate: AI must generate about $3.5 trillion a year by 2032 to justify the current data center expansion. The paper’s detailed math lands even higher, at approximately $3.725 trillion annually. The paper comes from Stijn Van Nieuwerburgh of Columbia Business School. It was published through the Brookings Papers on Economic Activity, better known as BPEA. Van Nieuwerburgh estimates US AI infrastructure investment will total $10.3 trillion between 2025 and 2032.

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