The AI Boom Has a $40 Trillion Problem

The U.S. economy is making a massive bet on artificial intelligence, pouring capital into data centers, chips and power infrastructure — much of it financed with debt. But the productivity payoff investors are expecting has yet to show up in the broader economic data. Economist Orphe Divounguy explains why AI productivity growth is becoming less of an upside surprise and more of a requirement for the economy to justify the enormous investment. With roughly $40 trillion in government debt and real interest rates remaining elevated, the stakes of the AI boom are much bigger than the technology sector alone. If AI fails to deliver stronger productivity and real income growth, the consequences could spread across the economy through higher borrowing costs, weaker growth, and potentially tougher choices on taxes or government spending. In this episode of Everyday Economics, Chris Krug and Dr. O break down who is ultimately carrying the risk of the AI investment boom — and why the economy may need the payoff sooner rather than later. Everyday Economics is brought to you by The Center Square Newswire Service. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.