Amazon MGM Studios has unveiled ambitious plans to deploy artificial intelligence tools for accelerating movie and television production, targeting crippling cost hikes even as Hollywood labour unions warn of widespread job threats from the tech incursion.
Amazon
Veteran entertainment executive Albert Cheng heads the compact AI Studio team, modelled on Amazon founder Jeff Bezos’s famed “two-pizza” principle that limits groups to sizes feedable by two pizzas for agility. The unit, heavy on engineers and scientists with select creatives, readies a closed beta launch in March inviting select industry partners, with results due by May.
“We fundamentally believe AI will expedite processes, but it will not supplant the innovation and unique contributions that humans provide,” Cheng told Reuters, stressing writers, directors, actors and designers stay embedded across production phases. Tools target “the last mile” between consumer AI and directors’ precision needs, boosting character consistency across shots and meshing with standard creative software.
Amazon Web Services powers the platform, partnering multiple large language model providers to broaden pre- and post-production options while prioritising intellectual property safeguards against content hoovering by rival AIs. Collaborators include Oscar-winning producer Robert Stromberg (Maleficent), Big Bang Theory star Kunal Nayyar via Good Karma Productions, and ex-Pixar/ILM animator Colin Brady.
House of David spotlights early wins, blending AI-generated shots – over 350 in season two – with live-action for epic battles and flashbacks, slashing costs without diluting vision, director Jon Erwin confirmed. The biblical drama exemplifies scalable AI for scope-expanding effects.
Production budgets have skyrocketed, curbing output and risk-taking, Cheng noted, positioning AI as essential for viability amid streaming wars. Yet Hollywood pushback intensifies; actors like Emily Blunt decry AI characters risking obsolescence, echoing union contracts won last year capping unregulated generative tools.
Amazon insists augmentation, not automation, drives the shift, but skeptics fear a tipping point where efficiency trumps employment in an industry already reeling from dual strikes and streamer consolidations. Beta outcomes could redefine content pipelines or ignite fresh labour clashes by mid-year.
