Is the $3Tn AI Boom a Repeat of the Dot-com Bubble?

The “remarkable numbers” of the AI boom—Nvidia at $5tn, OpenAI at $500bn, $3tn in datacenter spending—are drawing comparisons to the dot-com bubble of the late 1990s. A “debt-fueled exuberance” is sweeping the market, and some analysts worry it will “backfire.”
The parallels are compelling. “Lofty revenue expectations” project the generative AI market to hit $1tn by 2028, but an MIT study found 95% of firms are getting zero return on their AI pilots. This echoes the dot-com era, when companies with no revenue had billion-dollar valuations based on “eyeballs.”
The “speculative” nature of the investment is also a concern. Alibaba’s chair warns of a “bubble” in datacenter projects raising funds “without commitments from potential customers.” The Uptime Institute confirms this, stating many announced projects are “speculative” and “will never be built.”
This time, the speculative investment is being bankrolled by $1.5tn in private credit, or “shadow banking.” Analysts warn this debt, if it sours, could cause “structural risk to the overall global economy”—a far cry from the venture capital losses of 2000.
The “hyperscalers” like Google and Microsoft are the “healthy” part of the boom, spending $750bn of their own cash. But they are surrounded by “unproven” projects. While ChatGPT has 800 million users, the question remains whether the industry is building a new economy or a $3tn house of cards.