Noam Segal. Researcher who co-authored the 2026 tech worker survey "How tech workers are feeling in 2026: a workforce splitting in two" with Lenny Rachitsky, published in Lenny's Newsletter in July 2026. The survey tracked burnout rates, AI adoption attitudes, and career satisfaction across a sample of tech workers, documenting the split between workers who feel amplified by AI and those who feel destabilized by it.
Operating themes
- AI identity as a career predictor Whether a worker sees AI as extending their capability or threatening their role is a stronger predictor of career satisfaction than role, seniority, or company size.
- Baseline creep in AI-era productivity AI efficiency gains convert immediately into higher output expectations rather than into reduced workload, producing simultaneous productivity gains and burnout increases.