Policy Vector: Slowdown vs Deployment Trajectory● Amodei (Safety) ■ Altman (Balanced) ▲ Trump / State (Speed)
Primary Regulatory Tension
Compute threshold enforcement vs open-source innovation speed
Mandating compute caps and strict developer liability creates consensus among safety-focused labs (Amodei / Anthropic), but triggers severe resistance from commercial accelerators (Altman / OpenAI) and nationalist industrial policy proponents concerned with geopolitical parity.
Active Stakeholder Dossier
Executive Policy Brief
Ready
Generate an evidentiary policy memorandum reflecting current parameter alignments for legislative briefing.
Brief downloaded and QA telemetry locked.
Mapping AI Policy Consensus & Tension Dynamics
Read the explanation
The simulator calculates stakeholder consensus by balancing compute governance, slowdown timelines, liability models, and safety audit weights. In the baseline representative fixture, a strict compute threshold and three-year testing pause yield forty-eight percent consensus across three aligned stakeholders. Selecting Market Speed removes compute caps, swinging policy coordinates leftward toward deregulation and triggering opposition from safety auditors.