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The $100 Billion Burn: OpenAI and Anthropic Forecast No Profits Until 2030
Fast Company April 6, 2026
AI’s heavyweights are signaling a decade-long wait for profitability as the cost of compute outpaces even their record-breaking revenue growth. For executives, this confirms that the AI era is currently a high-stakes infrastructure race where market dominance is being bought with unprecedented levels of venture capital.
Key Intelligence
- •Apparently, OpenAI doesn't expect to see black ink on its balance sheet until at least 2030, despite its meteoric revenue rise.
- •Did you hear that the projected losses for these AI giants could exceed $100 billion before they finally turn a profit?
- •The primary drain isn't just talent—it’s the 'compute tax,' with the astronomical costs of training next-gen models keeping margins deep in the red.
- •Anthropic is facing a similar financial trajectory, highlighting that the path to AGI is currently the most expensive R&D project in corporate history.
- •Investors are essentially treating these companies like utility providers or infrastructure plays rather than traditional software startups.
- •This 2030 timeline suggests we are still in the very early 'build phase' of the AI revolution, similar to the early days of the fiber-optic build-out.
- •The massive capital requirements are creating a 'moat of money' that makes it nearly impossible for smaller players to compete at the frontier level.