Anthropic and OpenAI Now Capture 89% of AI Startup Revenues
Anthropic and OpenAI together accounted for 89% of revenues across 34 leading AI startups as of May 2026, according to a report from The Information published Sunday. The remaining 32 startups in the group split the final 11%.
The data marks a measurable widening of the revenue gap between the two frontier lab leaders and the rest of the AI startup field. For the cryptocurrency sector, the concentration has direct implications: AI-adjacent crypto tokens and decentralized compute protocols derive much of their narrative momentum from investor assumptions about distributed AI market growth.
The Revenue Gap in Context
The 89% figure covers a cohort of 34 companies The Information tracked as leading AI startups.
OpenAI and Anthropic sit at the top of that cohort by a substantial margin. The remaining firms include a range of AI application, tooling, and infrastructure companies competing across enterprise software, code generation, and vertical AI markets.
The Information did not publish a breakdown of the exact revenue split between OpenAI and Anthropic individually, but the aggregate figure shows the two labs have extended their lead over the broader peer group.
The concentration matters for cryptocurrency markets because a significant category of trending tokens, including decentralized AI compute networks, AI agent marketplaces, and privacy AI platforms, trades on the assumption that AI infrastructure will be built outside centralized hyperscalers and frontier labs. A market where two players control nearly 90% of startup revenue does not foreclose that narrative, but it complicates it.
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Background
The revenue concentration at the top of the AI startup market has been building for several quarters.
OpenAI, which launched the GPT-4 model series in 2023, has since expanded into enterprise contracts, API licensing, and consumer subscription products. Anthropic, backed by Google and Amazon, released its Claude model family and has signed large enterprise deals across legal, financial, and software verticals.
Both companies have benefited from the broad shift in enterprise software budgets toward AI integration from 2024 onward.
For cryptocurrency investors, the parallel story has been the emergence of AI-adjacent token categories. Decentralized AI networks such as Bittensor (TAO) and compute-layer projects gained market cap through 2024 and 2025 on the thesis that AI demand would eventually seek decentralized alternatives to concentrated labs.
Whether revenue concentration at the top of the startup market accelerates or slows that thesis is a live debate inside crypto circles.
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What to Watch
The key variable for cryptocurrency markets is whether the revenue gap between frontier labs and smaller AI firms continues to widen or begins to close as vertical AI applications mature. If a broader set of AI companies begin generating meaningful revenue, the decentralized AI compute and agent marketplace token theses gain credibility.
If the gap holds or widens, the narrative pressure on those token categories increases. The Information’s tracking cohort of 34 firms offers a sample, not a census, so the true extent of concentration across the full AI startup landscape may differ.
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