No, the sky is not falling. Yet. And because a number of the larger AI companies are much bigger, profitable and with healthier balance sheets, if there is an eventual collapse in the market, it may have less impact than did the dotcom bubble bursting 25 years ago.
But, to be realistic, the report - which has not yet been released, at least in part because it contradicts the otherwise enthusiastic Trump administration's AI boosterism - does make an explicit comparison with the dotcom experience. The key point is that investors are so heavily committed to AI expectations, which many believe are overinflated, that any failure to achieve those goals could have a negative impact on the broader economy. The flip side of the AI companies size (which makes them less vulnerable than the dotcoms) is that they are much more deeply entrenched in the global financial system. The positive implication is that there are, finally, growing, realistic and influential assessments of the risks associated with AI, which may serve to make that market stronger in the long run. JL
Eric Katz reports in NOTUS:
A leaked report from the Treasury Department warns of risks posed by the AI market, likening aspects of it to the dotcom bubble. AI investors are taking risks so significant that much of the financial system now rests upon AI meeting expectations for productivity gains and profitability. Treasury analysts found AI firms are more deeply entrenched in the U.S. economy than their dotcom predecessors and pose significant risk to the entire system if financial conditions change, productivity goals are missed or choke points stymie growth. The report concluded that the AI bubble’s popping would lead to less of an immediate crash than the U.S. economy experienced with dotcoms. Many of the top AI companies are more mature, profitable and maintain healthier balance sheets, which could blunt the impacts of the “bubble” bursting, if it bursts. Fears of an AI bubble have grown over the last year on Capitol Hill, among Wall Street executives and even within the ranks of top AI principals.