What must happen for AI’s trillion-dollar gamble to pay off

University of Pennsylvania finance professor Jessica Wachter estimates hyperscalers will spend $1.1 trillion on AI data centers by 2027, needing a 2.7x productivity boost by 2030 to justify costs and avoid bankruptcy. The scale of investment rivals historic IT booms but carries significant financial risk if returns fall short.