Hyperscalers Face $1T Data Center Bet Amid AI Bubble Risk

MIT researchers have sounded a warning about the massive investment in data centers by hyperscalers, which they say must nearly triple their productivity by 2030 to break even. The five largest tech companies - Alphabet (GOOGL), Microsoft (MSFT), Amazon (AMZN), Meta (META), and Oracle (ORCL) - are projected to spend $1.1 trillion on data centers through 2027, with half of that amount financed through external capital rather than internal cash reserves.

According to Wharton finance professor Jessica Wachter, hyperscalers must grow their productivity by 2.7 times over to achieve a required 15% return on investment and account for the depreciation of physical assets. Alphabet's recent $5.9 billion free cash flow deficit highlights the financial pressure these companies are under.

Columbia Business School's Stijn Van Nieuwerburgh warns that debt is increasingly flowing through pension funds and private credit vehicles, exposing everyday savers in ways they may not recognize. Gary Gensler, former SEC chair and current MIT Sloan professor, describes the situation as 'a parlay bet by the capital markets and the economy', expecting a retrenchment eventually.