Henry Blodget remembers the adrenaline and the eventual agony of the dot-com crash all too well, and he believes those memories serve as a stark warning for today’s artificial intelligence gold rush. While many analysts argue over whether the current surge in AI spending is a rational evolution of technology or a dangerous speculative bubble, Blodget suggests it is almost certainly both. He acknowledges that AI will fundamentally reshape society and the economy, much like electricity or the steam engine once did, but warns that the path to maturity usually involves a devastating collapse that wipes out early investors and first-wave companies.

Drawing parallels between the current climate and his experiences during the late nineties and the 2008 financial crisis, Blodget identifies two recurring triggers for a bust: explosive growth paired with massive leverage. During the internet boom, genuine demand for connectivity drove astronomical valuations until supply finally caught up and borrowing costs rose. Today, we see similar patterns in firms like Anthropic, which has experienced unprecedented revenue growth reaching staggering annualized figures. However, history suggests that when such vertical climbs eventually plateau and financing reaches its limit, the correction is rarely gentle.

The stakes this time are potentially higher because AI investment now represents a significant portion of overall U.S. economic growth. A sudden bursting of this bubble wouldn’t just affect venture capitalists; it could trigger a broad bear market and a severe recession affecting millions of ordinary people. Even industry leaders aren’t safe from these cycles. Blodget views OpenAI as a potential Netscape of the modern era—the pioneer that defined the movement but might ultimately lose its footing as newer competitors accelerate past them.

Ultimately, Blodget admits he hopes he is wrong because he stands to lose alongside everyone else in a market downturn. Yet, looking at the sheer volume of capital being poured into AI infrastructure by tech giants compared to previous eras, he sees a familiar pattern emerging. The cycle typically ends when the initial euphoria meets reality, leaving behind a wreckage of failed startups but paving the way for a leaner, more sustainable period of true technological transformation.