harm layer

Displacement

harm_displacement

Labor welfare outcomes from AI-driven workforce reshaping --- wage compression, role hollowing, loss of meaning and skill-exercise, not only headcount loss. Distinct from friction_public (which tracks resistance as an obstacle); harm_displacement tracks the welfare harm itself if the intervention lands.

Interventions scored against this layer

Scale funding for interpretability and alignment research. 1.00
Expand frontier-lab compute capacity (chips, datacenters, networking). 0.60
Accelerate grid and generation buildout (permitting reform, interconnection, new generation). 0.80
Invest in AI workforce training and retraining programs. 0.50