Overview
- New guidance synthesizing recent studies reports that AI is compressing code generation tasks while elevating judgment-heavy work such as correctness, security, and alignment with business goals.
- A METR randomized trial cited in the coverage found experienced developers using early‑2025 AI tools were about 19% slower on real repository tasks, even though participants believed they were faster.
- OECD reviews are referenced for showing productivity gains that vary widely by context, underscoring that tools help some task types and hinder others.
- A widely covered January 2026 developer survey is flagged for low verification of AI-generated code, pointing to a growing verification debt risk in organizations without strong testing and review practices.
- Labor data from the Federal Reserve Bank of Dallas is highlighted for showing employment declines among young workers in high AI‑exposure roles, as career advice shifts juniors toward prompt and agent orchestration, system design, and human‑centric problem framing.