Three-year-old startup Mercor has grow to be a $10 billion intermediary in AI’s knowledge gold rush. The corporate connects AI labs like OpenAI and Anthropic with former workers of Goldman Sachs, McKinsey, and white-shoe legislation companies, paying them as much as $200 an hour to share their business experience and prepare the AI fashions that would ultimately automate their former employers out of enterprise.
Right now we’re bringing you a dialog with CEO Brendan Foody from this 12 months’s Disrupt, the place he defined why AI labs want high-skilled contractors as a substitute of crowdsourced labor, how Scale AI’s troubles accelerated Mercor’s rise, and why he thinks your entire economic system will converge on coaching AI brokers.
Hearken to the complete episode to listen to about:
- How Foody went from AWS credit score consulting in highschool to a $10 billion valuation
- Why the highest 10-20% of contractors drive the vast majority of mannequin enchancment, and the way Mercor finds them
- The grey space between worker data and company secrets and techniques (and whether or not Goldman Sachs needs to be apprehensive)
- Why Foody believes all data work will ultimately grow to be coaching knowledge for AI brokers
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