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Inworld AI showcases AI case studies as they move to production

  • Posted byby Dean Takahashi
  • Updated
  • 13 min

The current AI ecosystem wasn’t built with game developers in mind. While impressive in controlled demos, today’s AI technologies expose critical limitations when transitioning to production-ready games, said Kylan Gibbs, CEO of Inworld AI, in an interview with GamesBeat.

Right now, AI deployment is being slowed because game developers are dependent on black-box APIs with unpredictable pricing and shifting terms, leading to a loss of autonomy and stalled innovation, he said. Players are left with disposable “AI-flavored” demos instead of sustained, evolving experiences.

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Written by

Dean Takahashi

Dean Takahashi is editorial director for GamesBeat. He has been a tech journalist since 1988, and he has covered games as a beat since 1996. He was lead writer for GamesBeat at VentureBeat from 2008 to April 2025. Prior to that, he wrote for the San Jose Mercury News, the Red Herring, the Wall Street Journal, the Los Angeles Times, and the Dallas Times-Herald. He is the author of two books, "Opening the Xbox" and "The Xbox 360 Uncloaked." He organizes the annual GamesBeat Next, GamesBeat Summit and GamesBeat Insider Series: Hollywood and Games conferences and is a frequent speaker at gaming and tech events. He lives in the San Francisco Bay Area.