POLITICO Policy Model

Hollywood AI Workforce Impact Simulator

California Executive Order N-6-26 & SAG-AFTRA Retraining Framework
Policy Preset Scenarios
Key Labor Levers
38%
Share of tasks across crafts vulnerable to automated gen-AI substitution
$75M
Direct state grant budget for IATSE & guild apprenticeship upskilling
12,000
Maximum workers admitted yearly into credentialed gen-AI tools programs
180,000
California film, episodic TV, sound & animation workforce
EXPOSURE BY SECTOR GUILD
VFX Artists & 3D Modelers 53%
Writers & Storyboarders 42%
Editors & Post-Colorists 36%
Grips, Stages & Voice Performers 21%
Workforce Stability
89.4%
Net retained or upskilled
Peak Displaced
42,500
At peak automation year
Total Retrained
48,000
5-yr cumulative certificates
Retraining Cost / Worker
$6,250
Effective state subsidy
5-Year Labor Dynamics: Displaced Pool vs. Cumulative Upskilled
Displaced Active
Successfully Upskilled
Net Unabsorbed Gap
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Five-Year Labor Transition Matrix
Year Cumulative Displaced Annual Intake Cumulative Upskilled Net Vulnerable Gap Stability Rate
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