Hollywood Workers Turn to AI Training as Industry Jobs Collapse

Facing a 28% employment decline, award-winning writers and directors are teaching artificial intelligence their craft for $12 to $200 per hour.

By Duabbly Staff

The entertainment industry's employment crisis has pushed accomplished creative professionals into an uncomfortable new gig economy: training the artificial intelligence systems that may eventually replace them. Award-winning screenwriters, directors, and producers across Los Angeles are signing contracts with AI training firms to teach machine learning models the nuances of their professions, from structuring screenplays to managing complex production schedules. The work pays between twelve and two hundred dollars per hour, offering a financial lifeline during an industry downturn, yet many participants describe the arrangement with profound ambivalence.

Ruth Fowler, a screenwriter and producer whose credits include the BBC One drama Rules of the Game starring Maxine Peake and the Paramount Plus series Little Disasters with Diane Kruger, turned to AI training work out of financial necessity. She explained that production activity has contracted sharply, leaving established professionals scrambling for income between increasingly sparse industry projects. One of her training assignments involved teaching an AI system to create detailed production schedules for hypothetical shoots, requiring the machine to understand everything from permit requirements and location safety concerns to lighting conditions and personnel needs. She taught the system by feeding it production documents, emails, scripts, and other materials that would normally guide a human production coordinator through their work.

The employment statistics paint a sobering picture of the industry's current state. According to FilmLA Research, shooting days in Los Angeles declined forty-eight percent between 2021 and 2025. Nationally, the Bureau of Labor Statistics reported that employment in motion picture and sound recording industries fell twenty-eight percent, dropping from 450,000 jobs in July 2022 to 326,000 in May 2026. This collapse represents the aftermath of multiple industry shocks, including pandemic disruptions, the 2023 writers' strike, and reduced investment from streaming platforms that had previously seemed like unlimited sources of production funding.

Another participant, a documentary director based in Los Angeles who requested anonymity, took on work teaching an AI system to transcribe video footage with accuracy. His project involved analyzing recordings from a Little League baseball game where crowd noise and background music obscured the dialogue. He created visual descriptions of speakers and characterized their accents to help the AI distinguish between overlapping voices. The work raised ethical concerns among freelancers, particularly regarding how AI systems were being trained to recognize and categorize human characteristics based on race and ethnicity.

The documentary director expressed a fatalistic perspective about the situation. He acknowledged that refusing this work would not prevent the technology's advancement or adoption within the industry. Yet his characterization of the arrangement was stark: being handed a shovel and asked to dig the grave of his own profession. Despite his misgivings about the long-term implications, he recognized that the emergence of AI represents an inescapable reality that abstention cannot forestall.

Companies like Mercor, Micro1, and Handshake have emerged as prominent players in the AI training services sector, securing contracts with major artificial intelligence developers including Anthropic and OpenAI. These firms recruit experienced entertainment professionals to evaluate and refine AI systems across multiple industries. Micro1 recently advertised positions for producers with more than five years of credited experience to design evaluation tasks simulating realistic production scenarios such as budget reconciliation and crew coordination, offering hourly rates up to eighty-five dollars. The work requires demonstrating mastery across film, television, digital, and live event production.

Some established professionals in the field take a more measured view of AI's impact on creative work. Jody Wheeler, a fifty-six-year-old screenwriter who has taught at the University of Southern California and accepted AI training assignments, remains skeptical about artificial intelligence's creative capabilities. He noted that while AI systems excel at generating ideas rapidly, they are nowhere near producing Oscar-caliber screenplays. Wheeler suggested that the technology could function as either a tool of self-destruction or a shovel for unearthing creative possibilities that would otherwise remain inaccessible.

Younger filmmakers have already begun leveraging AI technology to produce content that might not otherwise receive traditional funding. Zack London, who operates under the online persona Gossip Goblin, accumulated hundreds of millions of views with AI-produced science fiction shorts and is preparing to release a feature film in theaters. This suggests that while established professionals grapple with job displacement, emerging creators are adopting AI as an equalizing force that lowers barriers to entry.

Women writers with extensive television credentials have also turned to AI training work following the industry disruption caused by the 2023 writers' strike. One unnamed writer with credits on series for Amazon, HBO, NBC, and Lionsgate explained that her commission work never recovered after the strike ended. She began training AI systems to write scripts and evaluating AI-generated podcast content. Her decision reflects a broader pattern among industry professionals who initially expected work to rebound to normal levels but instead found the downturn to be permanent.

Netflix's recent disclosure that it incorporated AI in three hundred of its one thousand titles released in 2026 underscores how quickly the technology has penetrated mainstream production. Established directors including Ron Howard have begun publicly embracing AI tools, signaling cultural acceptance of the technology among influential figures in the industry. This mainstream adoption creates pressure for other professionals to develop competence with AI systems, whether through formal training work or by attempting to learn the technology independently.

The broader economic context extends far beyond entertainment. According to an April analysis from Boston Consulting Group, artificial intelligence could eliminate between ten and fifteen percent of jobs across the entire US economy, with more than half of all roles potentially reshaped by the technology. Among the sectors most vulnerable are driverless taxi services, software development, and language translation services. This wider disruption suggests that entertainment industry workers are experiencing an early version of a transformation that will eventually affect labor markets across most economic sectors.

The moral complexity of the situation weighs heavily on participants. Many feel they face a choice between accepting gig work that advances technology threatening their livelihoods or refusing work and watching helplessly as the technology develops anyway. This dynamic removes agency from individual workers and instead embeds the decision within larger economic forces and structural pressures. The entertainment industry's precarious employment situation, combined with the availability of relatively well-paid training work, creates circumstances where principled objections must compete against immediate financial survival.

As Hollywood navigates this transition, the professionals training AI systems occupy an ambiguous position. They possess valuable expertise and demonstrate competence through their work, yet they earn modest wages for temporary gigs rather than pursuing their primary career paths. Their participation simultaneously accelerates technological displacement while providing personal economic relief during a period of genuine hardship. The resolution of this tension between individual necessity and collective professional preservation remains unclear as the industry continues its transformation.