Sega has made it clear that while it is exploring the possibilities offered by artificial intelligence, the company is not planning to let AI dictate the artistic side of its games. Instead, the Japanese developer is focusing on using AI tools to streamline operations in departments such as publishing, corporate strategy, and idea generation. In an interview with Nikkei, relayed by the gaming news outlet VGC, senior executive officer and deputy chief business officer Tsuyoshi Saito emphasized that Sega is "very cautious" about the role generative AI will play during the creation of its titles. "We are employing AI to increase efficiency in areas like publishing and other corporate functions, and even to spark new business concepts," Saito said.
"But when it comes to the actual development process, especially the creative decisions that shape a game's world, characters, and story, we are deliberately keeping AI out of the equation." The statement comes after Sega disclosed the formation of a "Generative AI Committee" last year, a group that was introduced during a CEDEC presentation led by the company's technical director and deputy R&D director, Taishi Yokoshima. This committee includes an "AI Task Force" tasked with building proprietary AI tools that can be used internally.
According to a report from the Japanese tech news site ITmedia, the task force also works closely with Sega's public‑relations teams in North America and Europe to handle inquiries from game distribution platforms about how the company employs AI. Sega's cautious stance was put to the test earlier in the year when it emerged that generative AI had been used to create background assets for the upcoming title Crazy Taxi: World Tour. The revelation sparked a brief controversy, prompting series creator Kenji Kanno to clarify the extent of the technology's involvement during his appearance at Summer Game Fest.
Kanno explained that AI was employed only as a source of inspiration and reference material, not as a substitute for human designers. "We used generative AI simply to generate ideas and visual references," he told Kotaku. "In the future, AI will undoubtedly become a hotter topic, but for now, that is the full extent of its use on this project." Other developers are taking a similar measured approach.
Crystal Dynamics, the studio behind the Tomb Raider franchise, disclosed to GamesIndustry.biz that it used generative AI during the early prototyping phase of Tomb Raider: Legacy of Atlantis. Experience director Jeff Adams described the workflow: "When we have a concept for an in‑game object but aren't sure if we want to allocate development resources to build it, we turn to a generative AI tool to quickly visualise the idea. If the result looks promising, we then move the concept into our traditional production pipeline." Adams stressed that the final assets that make it into the shipped game are always crafted by human hands. "Our team will take the AI‑generated concept, flesh it out, and ensure that every piece of content that reaches the player is human‑created.
The goal is to make the development process as smooth as possible so that our developers can deliver high‑quality experiences that fans expect." Sega's internal AI initiatives are part of a broader industry trend where studios are experimenting with machine‑learning models to accelerate repetitive tasks, such as texture generation, level layout suggestions, or even narrative brainstorming. However, most companies, including Sega, are drawing a line at allowing AI to replace the core creative decisions that give each game its unique voice.
By keeping the artistic direction firmly in the hands of designers, writers, and artists, studios aim to preserve the authenticity and emotional resonance that players have come to associate with their franchises. The establishment of the Generative AI Committee also reflects Sega's desire to set internal guidelines and ethical standards for AI usage. The committee is responsible for evaluating potential risks, such as inadvertent copyright infringement when AI models are trained on existing artwork, and for ensuring that any AI‑generated output complies with the company's quality standards.
Moreover, the AI Task Force is developing custom tools that can be integrated into Sega's existing pipelines, allowing teams to request AI assistance on demand without compromising the overall workflow. In addition to internal efficiency gains, Sega sees AI as a way to generate fresh business ideas. Saito mentioned that the technology is being used to explore new market opportunities, analyze player data, and propose concepts for future titles.
While these applications remain exploratory, they illustrate how AI can serve as a strategic asset rather than a creative replacement. Overall, Sega's message is one of balance: leveraging the speed and analytical power of AI to make non‑creative processes more efficient, while safeguarding the imaginative core of game development for human creators. This approach aims to harness the best of both worlds—technology that speeds up production and human talent that crafts memorable experiences. As the industry continues to test the limits of generative AI, Sega's cautious yet forward‑looking strategy may serve as a model for other studios seeking to adopt AI responsibly.