Skills Alignment Framework: Six Policy Fixes for AI's Labor Market Disruption
robseamans · x · 2026-09-22
Economist Rob Seamans lays out a "Skills Alignment Framework" aimed at strengthening the feedback loop between employers, workers, and training providers to reduce information asymmetry about which skills are in demand.
Policy recommendations include: promoting AI-enabled skill training, scaling proven workforce training models, modernizing labor market adjustment programs, expanding wage insurance, addressing the tax code's preferential treatment of capital over labor, and improving national statistical infrastructure.
More from AGI Musings
- OpenAI, Anthropic and DeepMind job posts signal PMs must write evals and code — aakashgupta · 2026-11-12
- Architecture study sparks monitoring concerns over a multi-hop planning spike — ChowdhuryNeil · 2026-11-12
- PowerShell creator Jeffrey Snover at Ignite: AI revolution is an extinction event for those who don't adapt — dfinke · 2026-11-12
- Worst AI use: signaling you don't care about things you should — Afinetheorem · 2026-11-12
- Stanford HAI blueprint: 56 US agencies report 3,611 AI use cases, evaluation lags — StanfordHAI · 2026-11-12
- Fleuret amplifies debate: AI can't slash wet-lab experiments in unmapped biology — francoisfleuret · 2026-11-12