Post-Training Scale and Expert Economics

Pre-training vs post-training explained, scale estimates for post-training labor, shift from crowdsourcing to expert talent, project-based engagements, and expert pay dynamics.

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Brendan Foody is the CEO and co-founder of Mercor, the fastest-growing company in history to go from $1M to $500M in revenue (in just 17 months!). At 22, he is also the youngest American unicorn founder ever. Mercor works with 6 of the Magnificent 7 and all top 5 AI labs to help them hire experts to create evaluations and training data that improve their models. In this conversation, Brendan explains why evals have become the critical bottleneck for AI progress, how he discovered this massive opportunity, and what the future of work might look like in an AI-driven economy.

What you’ll learn:

1. Why evals are becoming the primary bottleneck for AI progress and what this means for AI startups

2. How Mercor grew to $500M revenue in 17 months (fastest in history)

3. Brendan’s meeting with xAI that changed his company’s trajectory

4. Which skills and jobs will remain most valuable as AI continues to advance (hint: jobs with “elastic” demand)

5. Why Brendan believes AGI and superintelligence are not happening anytime soon

6. The three unique core values that drove Mercor’s success

7. How Harvard Lampoon writers are making Claude funnier

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