{"schema_version":1,"citation_url":"https://567business.com/news/mercor-20-billion-series-d-inference-salaries","title":"Mercor spends 3 times more on AI than on staff pay. Investors just doubled its value to $20 billion","description":"The AI training startup raised $750 million from Nvidia, Salesforce, Benchmark and others. Its 5 million experts are paid to teach AI how their jobs work.","author":"Patrick Karsh","publisher":"567 Business","date_published":"2026-11-11T00:07:52.499848Z","date_modified":"2026-11-11T00:08:05.845922Z","body_markdown":"Mercor, the San Francisco startup that pays experts to train and test AI models, raised $750 million on Tuesday at a $20 billion valuation. That doubles the $10 billion price it got in October 2025, [Reuters reports](https://www.investing.com/news/stock-market-news/ai-training-startup-mercor-valued-at-20-billion-in-latest-funding-round-5016179). The most pointed line came from its own CEO. Brendan Foody wrote that Mercor already \"spend[s] 3x as much on inference as on employee salaries,\" [in the company's announcement](https://www.mercor.com/blog/series-d/).\n\nInference is the cost of running AI models. In plain terms, a company whose business is human expertise now pays far more for AI than for its own staff. Investors just rewarded it with a doubled price tag.\n\n## What Mercor raised, and from whom\n\nThe Series D drew Benchmark, Felicis, Fundomo, General Catalyst, G Squared, Glade Brook Capital, NVIDIA, Salesforce, Sapphire Ventures, StepStone Group, XTX Ventures and Zoom. Funds managed by affiliates of Apollo also joined, [Mercor said](https://www.mercor.com/blog/series-d/). The round included an employee tender, which lets staff sell some of their shares. Mercor did not say how much of the $750 million went to that tender, [The Next Web notes](https://thenextweb.com/news/mercor-750m-series-d-20bn-valuation).\n\nMercor announced the deal on X on Tuesday morning. The post had more than 1,200 likes by the afternoon.\n\nhttps://x.com/mercor/status/2120191509735821661\n\nThe climb has been steep. Mercor was valued at $2 billion in February 2025, when it raised $100 million led by Felicis, [TechCrunch reported](https://techcrunch.com/2025/02/20/mercor-an-ai-recruiting-startup-founded-by-21-year-olds-raises-100m-at-2b-valuation/). Eight months later it was worth $10 billion. Now it is worth $20 billion, 10 times its price less than two years ago.\n\n```chart\ntype: column\ntitle: Mercor's valuation after each funding round\nprefix: $\nsuffix: B\nnote: Post-money valuations as reported, in billions of US dollars\nsource: [TechCrunch](https://techcrunch.com/2025/02/20/mercor-an-ai-recruiting-startup-founded-by-21-year-olds-raises-100m-at-2b-valuation/), [Reuters](https://www.investing.com/news/stock-market-news/ai-training-startup-mercor-valued-at-20-billion-in-latest-funding-round-5016179)\n---\nRound | Valuation\nSeries B, Feb 2025 | 2\nSeries C, Oct 2025 | 10\nSeries D, Nov 2026 | 20\n```\n\n## Five million experts, training AI on their own jobs\n\nMercor began as an AI hiring platform. Today it says more than five million experts in its network get paid \"to train frontier AI models based on their unique knowledge,\" [per Foody's post](https://www.mercor.com/blog/series-d/). These are lawyers, bankers, doctors and engineers. Their work teaches models how a job gets done.\n\nMercor's pitch is that every role will get its own software agents. \"Every job in the economy will need its own AI agents, and every company will need a way to train and evaluate them on its own work,\" Foody said, [as quoted by Reuters](https://www.investing.com/news/stock-market-news/ai-training-startup-mercor-valued-at-20-billion-in-latest-funding-round-5016179). Foody notes there are more than 800 distinct jobs in the US alone.\n\nThat is the tension that makes the deal sting for many workers. The experts get paid now. But the product they help build is software meant to do more of their work. Mercor frames it differently. It says more people \"will work alongside AI agents,\" and that this creates new chances to apply human skill at scale.\n\n## The revenue claim behind the price\n\nFoody made a big growth claim on X. He wrote that Mercor \"scaled from $1M to $3B in run-rate revenue in 27 months, the fastest in history to $3B.\"\n\nhttps://x.com/BrendanFoody/status/2120182889195466877\n\nRun-rate revenue takes a recent period's sales and projects them over a full year. It is not audited annual revenue. Mercor is private and does not publish financial statements, so the claim cannot be checked against filings. If the figure holds, the $20 billion price is less than seven times run-rate revenue. That would be modest by the standards of this year's AI funding boom.\n\n| Figure | Value | Source |\n| --- | ---: | --- |\n| New money raised | $750 million | Mercor |\n| Valuation | $20 billion | Mercor, Reuters |\n| Prior valuation | $10 billion | Reuters |\n| Claimed run-rate revenue | $3 billion | Foody on X |\n\n## Where the money goes\n\nMercor says the new cash will fund tests of AI models, called evals, and post-training, which means extra training on a company's own work. It wants to sell to the Fortune 500, not just to AI labs. Earlier this year it bought Deeptune, a team that recreated hundreds of business apps where AI agents can practice. It also opened offices in New York and London, [according to the announcement](https://www.mercor.com/blog/series-d/).\n\nFoody also made a sweeping forecast. If the inference-to-salary ratio at Mercor spreads across the economy, he argued, it \"points to something closer to double-digit GDP growth over the next five years.\" That is a projection, not a finding. US growth has run far below that pace for decades.\n\n## What the announcement left out\n\nNeither the press statement nor Foody's post mentioned an April breach at Mercor. That incident led Meta to freeze its AI data work with the company, [The Next Web reports](https://thenextweb.com/news/mercor-750m-series-d-20bn-valuation). Mercor published an update on it in June.\n\nSkeptics have tracked the $20 billion figure since talks were first reported. A [July thread on r/BetterOffline](https://www.reddit.com/r/BetterOffline/comments/1usviwn/ai_training_startup_mercor_discusses_20_billion/) asked whether AI startups could hold such prices if larger AI firms struggled to go public.\n\nThe deal lands in a split market. Late-stage investors are still paying up for AI startups, even as AI stocks swing. Earlier today we covered how VCs [valued Nominal at $3 billion as chip stocks fell](/news/path-robotics-nominal-hardware-startups-raise). AI-driven startups raised $102 billion in the third quarter, or 64% of global venture funding, Reuters reported, citing Crunchbase.","link_base":"https://567business.com/news/mercor-20-billion-series-d-inference-salaries","citation_guidance":"Cite citation_url. Preserve source links, dates and qualifications. date_modified is an edit date, not proof that every claim was rechecked. Third-party images and quoted material retain their own rights."}