California's Creative Job Losses Stem From Budget Cuts, Not AI, New Report Shows
California's creative economy shed 114,000 jobs between 2022 and 2025-a 14 percent decline concentrated in film, television and traditional media. But generative AI didn't cause the losses, according to research released by Otis College of Art and Design.
The study, developed in partnership with Westwood Economics and Planning Consultants, examined public employment data and interviewed creative professionals across the state. The authors found that job losses followed a pattern inconsistent with AI displacement.
"The pattern of job loss in terms of the types of jobs that are being lost and when they're being lost does not support the fact that there's been this displacement of workers by AI," said Patrick Adler, a co-author of the report.
The Real Driver: Cost-Cutting and Structural Change
The decline stemmed from two sources: the high cost of living in California pushing workers out of lower-paying roles, and budget cuts following Hollywood's "Peak TV" era. Streaming services shifted toward profitability rather than content volume, forcing studios to reduce spending across departments.
The timing coincided with advances in generative AI, including ChatGPT's 2022 release, but the report argues this was correlation, not causation.
Jobs Most Exposed to AI Are Actually Growing
Writers, software developers, and artists-the roles theoretically most vulnerable to AI-have grown in number since 2022. Job postings for these occupations have increased as well.
This suggests that AI is changing how creative work gets done, not eliminating the people doing it.
AI Replaces Tasks, Not People-So Far
In interviews with creative professionals, not a single respondent reported that AI had replaced an entire role or workflow. Instead, the technology handles specific, well-defined tasks where outputs are verifiable and time savings are measurable.
Postproduction work illustrates the pattern. AI can handle rotoscoping or wire removal in visual effects, but it struggles with creative decisions. One VFX company owner described deploying AI on a major television production: "They have 15 artists that are sitting at workstations fixing the AI… When you multiply the rate of the artists by 15 and put that against the cost of the work you're doing, it negates any savings that AI is giving you."
The verification work required to check AI outputs creates additional labor rather than eliminating it.
Worker Skepticism and Ethical Concerns
Creative professionals retain significant control over whether and how they use AI tools. A worker who trusts the technology will iterate patiently; a skeptical one may conclude it can't perform a task. Both attitudes were common among those interviewed.
Many workers expressed ethical concerns about AI use. Some hid their use of the technology, fearing it would make them appear expendable.
The Productivity Trap
While AI isn't displacing workers, it is changing the nature of creative work. Managers are investing in AI tools rather than human collaborators. Productivity expectations are rising. Workers face pressure to produce lower-quality output faster.
One motion creative director recalled a telling moment: "The creative director said, 'At a certain point, you just have to say it's good enough,' which I think is the biggest danger of AI. We lower our standards."
What Organizations Should Do
The report recommends that creative companies implement firing freezes and other job protections to build worker trust in AI adoption. Workers who know they won't lose their jobs by adopting new tools will experiment more openly and invest genuine effort in making them work.
"There's pretty good evidence that AI adoption would be a lot faster, a lot deeper if creative workers had more trust in it," said Adler.
For more on how AI is changing creative work, see our guide on AI for Creatives and Generative AI and LLM.
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