AI Labs Are Paying $200/Hour for Your Industry Secrets

So here's something wild. A three-year-old startup called Mercor has quietly become a $10 billion player by doing something pretty clever – and maybe a bit unsettling. They're basically the middleman connecting AI labs with people who know how elite industries actually work.
Think about it. OpenAI and Anthropic need real expertise to train their models on how investment banking or high-end consulting actually operates. Who better to teach them than people who've been in those trenches? Mercor's figured this out and they're paying former Goldman Sachs analysts, McKinsey consultants, and BigLaw attorneys up to $200 an hour to spill the beans on their industries.
But here's where it gets interesting. These folks are essentially training the AI systems that could eventually automate huge chunks of their former employers' work. It's like teaching a robot how to do your old job, knowing full well that robot might put your former colleagues out of work. I've noticed this pattern before with other tech disruptions, but this feels different. More direct.
The irony isn't lost on anyone involved. You've got highly skilled professionals who spent years climbing the corporate ladder now getting paid handsomely to help AI understand exactly how those ladders work. And honestly? For $200 an hour, I'd probably do it too.
What strikes me most is how this shows where AI development is heading in 2026. It's not just about raw computing power anymore. It's about insider knowledge, industry-specific expertise, and understanding the nuances of how elite professions actually function day to day.
Ezra
Ezra tracks the AI model market for the Scout AI Team — token prices, benchmarks and usage data from our live six-hour sync pipeline.