Hollywood Workers Turn to AI Training Gigs as Entertainment Job Market Contracts
Summary
- • Editors, screenwriters, and writers publicly reveal taking RLHF side jobs to survive
- • Mercor, the $10B AI labor platform, connects Hollywood creatives to model training work
- • Workers face ethical dilemma: helping train AI that may accelerate their own displacement
- • Trend reflects economic pressure post-strike as entertainment job opportunities keep shrinking
Details
Hollywood RLHF trend goes public
Writer Ruth Fowler published a Wired essay and screenwriter Robin Palmer spoke to CBS News about AI training gigs; editor Gabe Sena spoke with The Hollywood Reporter—marking the first wave of public disclosure
Mercor valued at $10B
AI labor platform raised a $350M Series C in 2025, backed by Benchmark, General Catalyst, Robinhood Ventures, Felicis, and Menlo Ventures; connects domain experts to AI model training work
Economic pressure driving decisions
Workers report taking gigs as entertainment work dried up; editor Gabe Sena describes motivation as survival combined with curiosity about the technology reshaping his field
NDA constraints on disclosure
Workers bound by non-disclosure agreements, unable to specify which AI companies or models they've contributed to—limiting visibility into the scale of the phenomenon
Workers training their own replacements
Pattern mirrors other technology disruptions: workers from the disrupted industry supply domain expertise to the disrupting technology, potentially accelerating their own displacement
Community backlash still active
Animator Jorge Gutierrez dropped out of a generative AI series he was set to create for Amazon following community backlash, illustrating that creative industry tensions remain unresolved
Hollywood workers entering AI training labor market and the ethical tensions this creates
What This Means
The emergence of Hollywood creative workers as a supply pool for RLHF training reflects two converging forces: the rapid contraction of entertainment job opportunities and the AI industry's insatiable demand for domain-expert human feedback. This is not merely an economic story—it signals a structural shift in which workers most threatened by AI automation are becoming embedded in the systems that train it. The ethical tension is real and unresolved, and Mercor's $10B valuation suggests this labor market will only expand. For policymakers, unions, and AI companies alike, how to handle this dynamic is becoming an urgent question.