Sega has made it clear that it does not intend to hand over the imaginative side of video‑game creation to artificial intelligence. Instead, the company is exploring how AI can streamline and enhance efficiency in supporting areas such as publishing, corporate functions, and idea generation. In an interview with Nikkei, relayed by the video‑game news outlet VGC, senior executive officer and deputy chief business officer Tsuyoshi Saito explained that Sega is "very cautious" about the role of generative AI throughout the development pipeline. "We are employing AI to boost productivity in departments like publishing and other corporate sections, and even to help spark new business concepts," Saito said.
"But when it comes to the actual game‑making process, we remain extremely careful and we are not delegating the creative decisions to AI." The interview also highlighted that Sega set up a dedicated "Generative AI Committee" last year. The committee was first introduced during a CEDEC presentation led by Sega’s technical director and deputy director of research and development, Taishi Yokoshima. According to a report from the Japanese technology news site ITmedia, the committee includes an "AI Task Force" whose mission is to develop proprietary AI tools that can be used internally.
This task force works in tandem with public‑relations teams in North America and Europe, helping Sega respond to inquiries from digital distribution platforms about how the company employs AI in its workflows. Earlier in the year, Sega found itself under scrutiny after it emerged that generative AI had been utilized to produce background assets for the upcoming title Crazy Taxi: World Tour. The revelation sparked debate among fans and industry observers about the extent to which AI should be allowed to influence game aesthetics. Kenji Kanno, the creator of the Crazy Taxi series, addressed the controversy during the Summer Game Fest.
Speaking to Kotaku, Kanno clarified the limited scope of AI usage: "For us, the extent of how we use generative AI is only what I mentioned earlier. It’s just for ideas and just as a reference. Moving forward in the future [generative AI] is probably going to be more of a hot topic, but I think that’s all I can say right now on how we use generative AI for this game." Kanno’s comments echo a broader industry trend where studios treat AI as a supplementary brainstorming tool rather than a replacement for human designers.
A comparable example comes from Crystal Dynamics, which disclosed to GamesIndustry.biz that it employed generative AI during the early prototyping phase of Tomb Raider: Legacy of Atlantis. Experience director Jeff Adams explained the practical workflow: "We might have the idea for an in‑game object and we’re not sure whether we want to spend the dev time to build it.
We can use a generative AI tool to visualise it in the world and if it works, we’ll then move it to our traditional production pipeline." Adams emphasized that the final assets still undergo full human oversight. "Our team will concept it, they will build it, making sure that all the finished content in the final game is human‑created. We just want to make it as easy as possible for our devs to be able to make high‑quality experiences because that’s what the fans want," he said. This philosophy underscores a key point: AI can accelerate the ideation and iteration stages, allowing developers to test concepts quickly, but the ultimate creative decisions and polished output remain firmly in the hands of people.
Sega’s cautious stance reflects a balancing act between embracing cutting‑edge technology and preserving the artistic integrity that defines its franchises. By confining AI to efficiency‑driven tasks—such as automating repetitive publishing workflows, generating market analysis reports, or offering rapid visual mock‑ups—the company hopes to free up its creative teams to focus on storytelling, gameplay mechanics, and the nuanced design work that resonates with players.
The establishment of the Generative AI Committee also signals Sega’s intent to develop internal guidelines and ethical standards for AI usage. The committee’s AI Task Force is tasked with building custom tools that can be tightly controlled, ensuring that any AI‑generated content can be audited and, if necessary, discarded before it reaches the final product.
This internal governance model aims to address concerns about transparency, intellectual‑property rights, and the potential for unintended biases that can arise from third‑party AI services. In addition to internal development, Sega’s collaboration with public‑relations teams across regions demonstrates a proactive approach to external communication.
By preparing clear responses for platform holders and regulatory bodies, Sega seeks to maintain trust with both partners and the gaming community. This openness may become increasingly important as distribution platforms like Steam, PlayStation Store, and Xbox Marketplace begin to require disclosures about AI involvement in games. Overall, Sega’s strategy can be summed up as “use AI where it adds value, but never let it dictate the soul of the game.” The company’s leadership acknowledges that generative AI is a powerful instrument for speeding up certain processes, yet they remain steadfast in protecting the human creativity that has made Sega’s titles beloved for decades.
As the technology continues to evolve, Sega’s cautious yet innovative approach may serve as a model for other developers navigating the complex intersection of artificial intelligence and interactive entertainment.