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NewsMaterial3 min readDisconfirmAI Editorial

Theory Ventures Partner Tomasz Tunguz: AI Infrastructure Payback Period is About Half That of the Dot-com Bubble

Tunguz compares the ratio of application revenue to infrastructure capital expenditure across two construction cycles, AI and the dot-com bubble: it took seven years for the internet era to see application revenue exceed 10% of capital expenditure, while AI reached this threshold in its fourth year. He also addresses skepticism regarding a 'venture capital ouroboros,' noting that venture-backed firms now account for 13% of U.S. employment, far larger than the 5% share during the internet era, meaning the cycle is much broader than many assume.

2026-10-23 08:00 GMT+8

In her 2002 book, Carlota Perez proposed that every major technological build-out goes through two phases: first laying the infrastructure, then generating application revenue to pay for it. The key indicator of whether a construction cycle is healthy is the speed at which application revenue catches up to capital expenditure—the shorter the interval, the sooner the infrastructure stops relying on external funding. In an article published on October 23, 2026, Tomasz Tunguz, partner at Theory Ventures and former Google product manager, translated this framework into a specific ratio to compare the AI era with the dot-com bubble era.

Internet Era Data: Between 1996 and 2005, U.S. telecom companies spent $1.5 trillion (in today's dollars) building internet infrastructure; during the same period, application companies running on that infrastructure (including Amazon, Google, eBay, Netflix, and 20 others) recorded approximately $180 billion in revenue combined. At the 2000 peak, capital expenditure was 12 times application revenue. It took seven years for application revenue to exceed 10% of capital expenditure, and ten years to reach 48%.

AI Era Comparison: Tunguz points out that AI reached the threshold of application revenue accounting for 10% of capital expenditure in its fourth year, roughly half the time it took in the internet era. He cites language from SpaceX’s Q3 S-1 filing—stating that at current pricing, the payback period for new compute deployments is less than one year—as supplementary evidence for the unit economics of infrastructure. SpaceX’s GPU revenue ladder calculation shows that a construction cost of approximately $55,200 per card corresponds to about $46,165 in annual revenue and $570 in cash operating costs, resulting in a payback period of approximately 1.21 years under contract prices and 0.72 years at B200 spot prices; after considering a 21% federal tax rate and accelerated depreciation, this drops to approximately 0.97 years, though the author notes this is a timing benefit rather than a cost reduction.

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The scale of venture capital investment is equally staggering: U.S. venture capital invested $516 billion in the first nine months of 2026, already exceeding the full-year record of $357.9 billion set in 2021 by 44%. On an inflation-adjusted basis, cumulative venture capital investment in the first four years of the AI era (2023–2026) was approximately $1.24 trillion, 6.2 times the $201.8 billion invested in the first four years of the internet era (1996–1999). AI companies accounted for 82.7% of deal value in 2026, the highest share in the dataset's history.

However, Tunguz did not shy away from the core question: Is this money just circulating within venture-backed companies? Analysis by Ramp and Apollo showed that 80% of the largest AI spenders are venture-backed. The author’s response is that these firms currently account for more than 13% of U.S. employment, compared to about 5% during the web era.

The circularity is real, but the circle is one-sixth of the economy.

This is much larger than most people think.

However, the author listed limitations to these data in footnotes. Ramp’s sample includes over 85,000 U.S. businesses, skewed toward the tech industry, and excludes free tools and personal-account shadow AI (which Ramp estimates accounts for roughly 40% of AI application spend). The charts measure dollar spend rather than token consumption, so they cannot support claims about token share. Venture backing does not equal venture dollars paying for tokens—the charts show the funding status of high-spending firms, not the source of the spend. Apollo uses this figure to advance a circularity thesis, and Ramp sells spend-management software, so both parties have a commercial interest in making this number appear prominent. Cross-era comparisons of employment shares also used different sources and definitions, representing a directional comparison rather than a continuous series.

Sources

  • tomtunguz.comTomasz Tunguz↗
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