Final Fantasy Maker Wants Generative AI To Fix 70% Of Game Bugs
Briefly

Final Fantasy Maker Wants Generative AI To Fix 70% Of Game Bugs
"Square Enix is currently in the middle of a reboot. Following a bunch of flops ( remember Foamstars?) and some great games held back by timed exclusivity ( Final Fantasy XVI, Final Fantasy VII Rebirth), the RPG publisher has been pivoting to a multiplatform approach and retooling its slate of upcoming releases. It's also, apparently, making a big push into leveraging generative AI. The company announced a new goal of having 70 percent of quality assurance and game debugging work handled by generative AI by 2027."
""Through the use of automation technology, [we] aim to improve the efficiency of QA operations and establish a competitive advantage in game development," reads a new presentation updating investors on Square Enix's business strategy (via ). The project developed out of an AI-themed "idea contest" the company held, and will be part of a joint research initiative with Matsuo Laboratory at the University of Tokyo. Is this a real plan or just a way to impress investors with buzzwords?"
"I'm convinced that statement from Square is to just get shareholders excited, because what is GenAi really gonna say when something like this pops up? Can it even critically understand what it's looking at to report the issue accurately? pic.twitter.com/VJ5r67Fu27 - Del (@TheCartelDel) November 6, 2025"
Square Enix is undergoing a corporate reboot after recent commercial failures and timed-exclusivity controversies. The company is shifting toward a multiplatform release strategy and restructuring upcoming game projects. Square Enix announced a target for generative AI to conduct 70 percent of quality assurance and debugging work by 2027. The initiative originated from an internal AI-themed idea contest and will be pursued jointly with Matsuo Laboratory at the University of Tokyo. Industry reaction is mixed: some developers see QA as a promising AI use case, while practitioners and commentators question whether AI can accurately identify and report complex, context-dependent bugs.
Read at Kotaku
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