← All stories
AI & Tech

OpenAI Burned 20.9 Billion Dollars in 2025 According to Audited Financials

Tom Bilyeu Impact Theory · The AI Debt Bomb Is Already Hiding In Your Retirement Account — We Had To React · July 14, 2026
OpenAI Burned 20.9 Billion Dollars in 2025 According to Audited Financials
Tom Bilyeu Impact Theory
Tom Bilyeu Impact Theory
The AI Debt Bomb Is Already Hiding In Your Retirement Account — We Had To React
"OpenAI burned $20.9 billion in 2025, and that's the audited financials that the FT and I reported. And the problem with these companies is their margins are getting worse, and they actually— their costs increase linearly with their revenues. There is no proof that they can improve their margins."
Tech journalist Ed Zitron revealed that OpenAI's audited financials show the company burned through $20.9 billion in 2025, with margins deteriorating as costs scale linearly with revenue. Zitron argues there is no evidence these AI companies can improve their unit economics, comparing the situation unfavorably even to WeWork's collapse. The disclosure highlights the massive cash burn rates across the AI industry despite growing revenues.

About this episode

Tech analyst Tom Bilyeu interviews Ed Zitron, a prominent AI skeptic who argues the generative AI industry is headed for collapse despite massive investment. Zitron reveals that OpenAI burned $20.9 billion in 2025 according to audited financials obtained by the Financial Times, with costs scaling linearly with revenue and no path to profitability. He contends the AI boom mirrors previous infrastructure bubbles like railroads and fiber optics, where first-generation investors were wiped out. Zitron estimates the total addressable market for large language models at only $10 to $30 billion, not the trillions being priced in by hyperscalers like Microsoft, Google, and Meta. Oracle disclosed in its annual report that it faces nonpayment risk from OpenAI for 7.1 gigawatts of data center capacity, while Palantir CEO Alex Karp publicly stated that enterprises are refusing to adopt AI due to token costs and fears of intellectual property theft. Bilyeu pushes back on Zitron's bearishness, arguing that AI remains transformative even if current investors lose money, citing medical breakthroughs in protein folding and applications in coding. However, Bilyeu concedes the debt accumulation is terrifying and warns that AI-related obligations are being hidden across insurance, index funds, and retirement accounts, setting up a potential replay of the 2008 financial crisis. Zitron predicts the collapse will begin when data center debt stops flowing and the first hyperscaler pulls back on capital expenditures, triggering a market repricing. The discussion reveals a stark divide between AI believers who see revolutionary potential and skeptics who see unsustainable economics built on hype and cheap capital.

Key takeaways

More stories More from Tom Bilyeu Impact Theory