Conversations with Tyler Brendan Foody on Teaching AI and the Future of Knowledge Work
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Jan 7, 2026 
Brendan Foody, founder and CEO of Mercor, discusses his groundbreaking AI marketplace that hires experts from various fields, including poets earning $150 an hour. He emphasizes the importance of rubrics over raw data for training AI, predicting that knowledge work will shift towards creating reinforcement learning environments. Brendan shares lessons from his early donut venture and explores how dyslexia can foster unique entrepreneurial strengths. He also highlights the challenges of hiring and the need for cultural empathy in a global workforce. Fascinating insights abound!
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Long-Horizon And Tool Use Are Next
- Longer-horizon tasks and multi-tool integrations are current model weaknesses but will be measurable and optimized soon.
- Brendan expects substantial progress on these dimensions within 6–12 months after robust evals exist.
Tacit Taste Remains A Bottleneck
- Models will struggle where expertise is tacit, taste-driven, or uncodified; domains with 'in-head' knowledge remain hard to replicate.
- Legal judgment and other taste-heavy areas may take years before models fully match top experts.
Experts Remain For The Hard Last Mile
- Even as models outperform many experts, human experts will remain crucial for the toughest 25% of problems.
- Experts will help solve the final bottlenecks where models struggle, preserving a role for high-level human judgment.
