Utopai Studios, DeNA Team on AI-Assisted Animation Projects in Japan (EXCLUSIVE)
Utopai Studios and DeNA have launched an AI-assisted animation partnership in Japan, marking Utopai's entry into the country's anime industry. DeNA's Entertainment Development Business Unit will trial Utopai's storytelling AI system, PAI, within experimental animation workflows, with a team of Utopai specialists working alongside DeNA's creative staff on early visual concepts, character and environment design, and scene planning, while DeNA's artists retain final say over story, style and tone.
PAI is designed to maintain continuity across shots, scenes and episodes rather than generating standalone clips, carrying approved characters or backgrounds forward through production. The system is already used by Huace Film & TV in China on the series "Journey to the West: The Lost Five Hundred Years," as well as on projects in the US and international co-productions. The Japan collaboration is described as an evaluation phase, with rules on permissions, IP and security to be jointly agreed; DeNA, founded in Tokyo in 1999, and Utopai, which also operates in Asia-Pacific and Germany, both frame the deal as a foundation for potential future growth.
- Utopai Studios and DeNA launch AI-assisted animation partnership in Japan
- Utopai's PAI system to support, not replace, DeNA's creative team
- Deal is an evaluation phase with IP and permissions rules still being set
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Utopai Studios is a company that builds artificial intelligence tools for animation and film production, while DeNA is a large Japanese technology and entertainment firm founded in Tokyo in 1999, best known for gaming and digital content. The two have agreed to work together on animation projects that use Utopai's AI system, called PAI, to assist with parts of the creative process such as early designs and scene planning, though human artists still make the final creative decisions.
The partnership matters because it represents one of the first attempts to bring AI-assisted tools into Japan's anime industry, a sector often associated with distinctive hand-crafted artistry and long-standing production traditions. PAI has already been used on animation projects elsewhere, including in China and the United States, and is designed to keep characters and settings consistent across many scenes rather than producing isolated AI-generated clips.
The arrangement is currently described as a trial, with details such as data permissions, intellectual property rights and security still to be worked out between the two companies. Its outcome could influence how, or whether, AI tools are more widely adopted in Japanese animation going forward.
Both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Supporters argue that tools such as PAI can ease the genuinely gruelling workload of anime production, an industry long criticised for overworking artists on repetitive tasks like maintaining character and background continuity across thousands of frames. By automating this drudgery while leaving story, style and tone in the hands of DeNA's human artists, the partnership can be seen as freeing creative staff to focus on higher-value work, potentially widening access to production resources for smaller studios and helping a stretched industry meet growing global demand for anime without further burning out its workforce.
The case against
Sceptics, including many artists and animators, worry that introducing AI systems into core creative workflows such as character design and scene planning risks eroding the distinctive hand-crafted quality that gives anime its value, and sets a precedent that could gradually shift more creative control, and eventually jobs, away from human artists. They point to unresolved questions around IP ownership, consent, and the training data behind such systems as reasons for caution, arguing that even a carefully framed evaluation phase can normalise practices that undercut artists' livelihoods and creative authorship once the technology becomes more deeply embedded in production pipelines.
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