Five of the world’s largest technology companies are on track to spend close to $1.1 trillion on AI data centers by 2027. The question nobody can confidently answer: will those data centers ever earn it back? A new analysis from Wharton finance professor Jessica Wachter and collaborator Jonathan Wachter cuts through the hype with a deceptively simple approach. Instead of debating whether AI will reshape civilization or fizzle into an expensive parlor trick, they just ran the numbers on what has to happen for the spending to make financial sense. The accounting reality check The Wachters’ March 2026 paper, “What Investment Data Implies about the AI Transition,” focuses on five hyperscalers: Amazon, Alphabet, Microsoft, Meta, and Oracle. Their combined capital expenditures have ballooned from $155 billion in 2022 to $226 billion in 2024, with $381 billion expected in 2025 alone. That’s roughly a doubling every couple of years. Using a two-sector economic model, the researchers found that justifying this level of investment requires AI-sector productivity to increase by approximately 2.7 times. S&P Global Ratings paints an even more aggressive picture, estimating that aggregate ca...
AI hyperscalers face trillion-dollar gamble as spending outpaces revenues
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