Cuban warns Nvidia is dot-com IPO machine for AI sector

Mark Cuban's comparison of Nvidia to a dot-com IPO machine captures a structural shift in how the AI sector is being financed. During the 1990s internet boom, IPOs provided young companies with capital to expand before they were profitable; today, Nvidia is effectively playing that role by investing across AI infrastructure and model development. With $42.3 billion in existing private investments and $27 billion in contingent commitments, Nvidia has become the sector's de facto funding engine.

The risk Cuban highlights is real but concentrated. Large, already-profitable players—mature cloud providers and established chip makers—can self-fund their expansion. They are insulated from sudden financing shocks because their own cash flow supports growth. The vulnerability lies instead with specialized operators that are growing faster than their revenue can support. CoreWeave and Nebius exemplify this gap: both are spending 2–6× their quarterly revenue on capital expenditures, betting that customer orders in their backlogs will eventually generate the cash to repay those upfront costs. That bet is rational if demand holds and financing remains available, but it becomes dangerous if either factor shifts. Iren, a smaller Nvidia partner not yet fully funded by Nvidia, faces the same timing problem at an earlier stage. For these companies, the issue is not demand—their revenue backlogs are substantial—but whether they can bridge the gap between infrastructure spending and customer payments without a steady stream of external capital.