Kojima and Silent Hill Producer Debate AI Usage in the Games Industry

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In a recent interview with Rolling Stone, legendary game creator Hideo Kojima ignited discussion across social media after sharing his thoughts on the future of gaming and artificial intelligence (AI.) Kojima warned that the industry’s growing reliance on remakes and reboots may lead to creative stagnation, suggesting that AI could soon play a major role in producing such projects.

However, Kojima clarified that he doesn’t see AI as a threat to game development. Instead, he views it as a “friend” that can automate repetitive or technical tasks, freeing human developers to focus on innovation and imagination. “AI can help streamline processes,” he explained, “but creativity must remain human-led.”

Not everyone agrees. Silent Hill series producer Motoi Okamoto offered his argument, conveying that AI cannot replicate the depth of human decision making. He pointed to the newly released Silent Hill f, which reimagines the iconic franchise in 1960s Japan with a narrative penned by acclaimed horror writer Ryukishi07. According to Okamoto, these bold narrative and cultural choices could never have been made by an algorithm or LLM (and personally, I agree.)

Silent Hill f

“AI may be able to generate a sequel in the Silent Hill universe,” Okamoto said in a translated statement via Automaton, “but choices like changing the setting or involving a specific writer require human intuition and courage.”

Silent Hill f, which launched in late September, has already sold over one million copies and earned praise for its haunting, emotional storytelling. Its success certainly matches Okamoto’s belief that true creativity stems from the human experience.

The broader AI debate in gaming continues to intensify as generative tools like Sora advance rapidly. While fans use AI to create parody content based on iconic franchises, raising copyright concerns from companies like Nintendo, developers such as Kojima and Dead Space creator Glen Schofield are optimistic.

Schofield recently said that after two years of AI experimentation, he sees it as a powerful tool to “improve speed, reduce costs, and support teams — not replace them.”

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