The Download: AI’s trillion-dollar gamble and OpenAI’s biology data bid

Finance professor Jessica Wachter from the University of Pennsylvania analyzed the economic stakes of AI investments by focusing on a key fact: a small group of tech giants called hyperscalers are spending enormous sums to build AI data centers.

By 2027, these expenditures are expected to reach nearly $1.1 trillion.

Wachter’s research asks how quickly these companies’ earnings must grow to justify their spending by 2030.

The findings suggest that AI companies will need an extraordinary boost in productivity just to break even.

Hyperscalers refer to companies like Amazon, Microsoft, and Google that operate massive data centers to support cloud computing and AI services.

The $1.1 trillion figure represents the projected total investment in AI infrastructure over the next few years, highlighting the scale of the financial gamble being taken on AI’s future economic impact.