Netflix doubles down on AI games after laying off human devs

Weeks after quietly shutting down its internal AAA studio and laying off developers, Netflix is doubling down on AI to build its next generation of games.

Mike Verdu, who ran Netflix Games for the past three years, announced on LinkedIn that he is stepping into a newly created role: VP of GenAI for Games. Verdu framed the move as a once-in-a-generation inflection point, arguing that generative technology will dramatically accelerate development speeds and unlock completely novel player experiences.

From AAA dreams to AI acceleration

Verdu tried hard to soothe industry anxieties around AI replacing human talent. He claimed creative humans will stay at the very center of game creation, treating AI strictly as a catalyst and accelerant.

He painted a nostalgic picture, comparing today's potential to the rapid innovation cycles of Nintendo and Sega in the 1990s, when teams shipped mind-blowing surprises every few months. In Verdu's view, AI will help large teams ship faster while equipping small indie teams with an almost unimaginable collection of new capabilities.

He also pushed back on reports that the gaming division is in turmoil following the studio shutdown, calling outside commentary uninformed speculation and framing recent changes as a planned transition. Under his watch, Netflix grew its library to over 100 titles and began testing cloud gaming across PC and TV screens.

An industry split on generative code

Netflix is hardly alone in testing generative tools, though approaches vary wildly across the industry. Giants like Microsoft and EA are openly embracing AI across production pipelines, while Nintendo remains cautious over copyright concerns.

At the frontier, researchers are even experimenting with neural networks that simulate playable worlds directly. DeepMind built GameNGen to render DOOM in real time, and startups Decart and Etched unveiled Oasis, a playable Minecraft-like sandbox running at 20 frames per second. Yet severe technical hurdles remain, including three-second memory limits and murky visual fidelity.

Why it matters

Netflix seems to be ditching the grueling, multi-year treadmill of prestige AAA development in favor of rapid, lower-cost output. Traditional blockbuster titles take five or six years to build, a timeline that clashes with the instant-gratification flywheel of a streaming subscription service.

We think this pivot makes corporate sense on paper, but it carries real reputational and creative risks. Slapping an AI executive title onto the division right after gutting a human studio sends a chilling signal to veteran talent across the industry. Furthermore, flooding a library with faster, AI-generated titles ignores the biggest hurdle Netflix faces in gaming: players want genuinely memorable, polished experiences, not an endless conveyor belt of mid-tier distraction.