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.

Source: Crypto Briefing