What's at stake in AI's trillion-dollar gamble

When Jessica Wachter, a finance professor at the University of Pennsylvania's Wharton School, wanted to assess AI's impact on the economy over the next few years, she faced a long list of business and technical uncertainties. So she started with what she calls a "remarkable fact" that is not in question: A handful of so-called hyperscalers are investing huge amounts of money to build AI data centers. Instead of trying to predict how useful and widely deployed AI models will be, she simply asked how fast the hyperscalers' earnings will need to grow to justify their spending through 2027, when--she and her collaborator estimate--expenditures will reach nearly $1.1 trillion.