Hideo Kojima says AI won't create art

Multiple outlets report that filmmaker and game director Hideo Kojima told The Washington Post he is "not interested" in generative AI for making art and does not expect AI to produce "real art" in his lifetime. The comments came during coverage of a Prada event at New York's Chelsea Hotel and follow widespread backlash to a recent Prada promotional short that used a generative-AI recreation of Kojima alongside director Nicolas Winding Refn, which fans labeled "AI slop" on social media (reported by IGN and Kotaku). Coverage also cites Kojima saying AI works best as "a janitor for creative chores" and that younger creators will find appropriate uses for the technology (The Washington Post). Earlier interviews cited by multiple outlets show Kojima previously discussed using AI for game control systems and NPC behavior rather than visual art.
What happened
Multiple outlets report that Hideo Kojima told The Washington Post he is "not interested" in generative AI for creating art and does not expect AI to produce "real art" during his lifetime, saying "Art is life. But in 50 years, 100 years, I don't know. Maybe AI could create art, but while I live, I don't think I'll see it. I'm not interested in it." (The Washington Post, as cited in IGN, Kotaku, Notebookcheck). The remarks were published in coverage of a Prada event at New York's Chelsea Hotel and arrive after a 90-second Prada teaser that used a generative-AI likeness of Kojima and director Nicolas Winding Refn, a project that IGN and Kotaku report drew social-media backlash calling it "AI slop." The Washington Post is also reported to have quoted Kojima saying AI works best as "a janitor for creative chores," and that humans must "stay in the room where art gets made." (The Washington Post; reported in Notebookcheck, Kotaku, IGN).
Editorial analysis - technical context
Industry-pattern observations: public conversation around generative AI in creative media often separates visual generation from interactive-control uses. Multiple outlets cite Kojima's prior comments that he is more interested in applying AI to control systems and NPC behaviour, for example dynamically altering enemy responses to player actions, which is a technical use case distinct from automated visual content generation (reported in Wccftech and IGN). In practice, generative models and agentic-control systems rely on different toolchains, datasets, evaluation metrics, and guardrails; visual generative systems prioritize perceptual fidelity, while game-control AI emphasizes temporal consistency and player-model alignment.
Context and significance
For practitioners: public statements by high-profile creators like Kojima shape developer and consumer expectations about acceptable uses of generative AI in entertainment. Reporting frames this episode as part of a wider cultural debate over authenticity, consent, and artistic authorship after an AI-driven marketing piece drew criticism. Industry observers note that creative-sector reactions to generative-AI campaigns have practical downstream effects on studio policy, marketing choices, and community trust even when the underlying technology could offer efficiency gains for non-creative chores.
What to watch
- •Signals from studios and publishers about disclosure of AI usage in marketing and in-game content, following public backlash reported around the Prada teaser (IGN, Kotaku).
- •Cross-disciplinary adoption of AI for control systems versus visual generation in upcoming game announcements; earlier comments from Kojima referenced dynamic NPC behaviour as a priority (Wccftech, IGN).
- •Platform and legal developments on likeness rights and AI-generated recreations that affect promotional videos and trailers.
- •Community and critic response metrics to future AI-assisted creative work, which will influence acceptance thresholds for visual vs. functional AI uses.
Scoring Rationale
Comments by a marquee game auteur matter for practitioners because they influence public perception, studio communication choices, and the acceptability of AI in creative workflows. This is notable but not a technological milestone.
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