Two Billion a Day: The Trillion-Dollar Bet on Artificial Intelligence
M. Muñoz
M. Muñoz · AI-narrated by Martin (from Google)
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In 2026 alone, four American technology companies will spend more building artificial intelligence infrastructure than two Apollo programs combined — roughly two billion dollars a day, poured into windowless data centers packed with chips that do nothing but multiply numbers. Two Billion a Day follows that money from the diner booth where Nvidia was founded in 1993 to a Louisiana data center financed through a private credit vehicle that keeps billions of dollars in debt off a trillion-dollar company's balance sheet. It traces circular deals between chipmakers and their own customers, the return of the investor who lost billions on WeWork, and the electricity shortage forcing companies to reopen shuttered nuclear power plants. It sets today's numbers beside two centuries of financial history, from Britain's 1840s railway mania to the dot-com crash of 2000, when the technology succeeded completely and investors still waited twenty-five years to break even. Built on the public record — earnings reports, central bank warnings, and the disclosed positions of investors betting against the boom — this book gives readers the tools to judge, for themselves, where today's spending is headed next.
In 2026 alone, four American technology companies will spend more building artificial intelligence infrastructure than two Apollo programs combined — roughly two billion dollars a day, poured into windowless data centers packed with chips that do nothing but multiply numbers. Two Billion a Day fo...
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