AI Companies Are Losing a Race Against Time to Become Profitable

Summary

This opinion analysis argues that major AI companies are losing a race against time because investment is growing much faster than revenue. The authors revisit their view that the AI industry is in a financial bubble, noting that the overall stock market rose 15 percent while AI-company equity valuations rose more than 25 percent after their earlier warning. Using a discounted cash flow model, they estimate that six AI-heavy firms—Google, Amazon, Microsoft, Meta, Oracle, and SpaceX—spent about $1.2 trillion on AI investments from 2024 onward while producing an estimated $277 billion in revenue. To break even over the next six years, the firms would need $2.4 trillion to $3.8 trillion in revenue, requiring current incremental AI revenue to grow 13 to 45 times. They would need another $520 billion to $850 billion in revenue in the next year alone, roughly three to four and a half times the authors’ estimate for the current year. The pressure is intensified by the assumed five- to six-year useful life of AI computing equipment, which leaves limited time for investments to generate returns. Including projected spending through 2030, the firms could spend $5.7 trillion between 2026 and 2030 and would need $13.1 trillion to $18.7 trillion in revenue over the next decade. The authors say that target would amount to creating an AI business roughly the size of the firms’ existing businesses, despite those businesses taking decades to reach their current scale. They acknowledge that technology adoption often takes time: electricity, railroads, and the internet produced broader productivity gains only after firms redesigned workflows around them. Their revenue estimates are uncertain because companies rarely disclose direct AI revenue and AI’s contribution to existing businesses is difficult to isolate, so the model uses low, baseline, and high scenarios with different attribution assumptions. The authors may be wrong, but warn that if profitability continues to lag spending, investors could reduce valuations and AI investment, affecting portfolios and broader economic growth. A final example shows the pressure: if incremental AI revenue rises 66 percent next year to $313 billion, the firms would still need $612 billion to $1.2 trillion in 2028 to remain on track for profitability.