Konami President Downplays AI’s Game-Development Impact, Says Creators Still Matter Most

Konami president Hideki Hayakawa has offered a notably restrained view of artificial intelligence’s likely effect on video games. In comments included in the company’s latest earnings report, Hayakawa said AI probably will not bring a “significant change” to the game market, even as the technology attracts enormous attention across the industry.

The position is significant less because it declares AI irrelevant than because it pushes back on a familiar assumption: that the technology will inevitably remake how games are made and who gets to make them. Hayakawa’s argument is that game development has already become more accessible through general-purpose game engines and user-generated content, or UGC. And, even if AI improves production efficiency, he sees people and creators as the central ingredient in entertaining, innovative games.

“Entry barriers have already been lowered by the advancements of generic game engines and the spread of UGC (user generated content),” Hayakawa said. “Even if AI use does lead to improvements in production efficiency, I believe that the most important factors in producing entertaining and innovative video games are people and creators.”

A skeptical answer to a much bigger question

AI discussions in games frequently collapse several different questions into one. Can a tool help a team complete a task more quickly? Can it generate art, dialogue or other material? Can it lower the skill, time or money needed to create a game? And can any of that change what players ultimately value? Those are related questions, but they do not have the same answer.

Hayakawa’s comments address the last two especially directly. His view is that AI is not automatically a new doorway into game development, because other tools have already widened that doorway. In that framing, AI may be another production tool rather than the singular force that resets the market.

That does not mean the comments reject every use of AI. Hayakawa explicitly allows for the possibility of gains in production efficiency. Efficiency, in this context, means completing parts of a development process with less time or labor. But the statement makes a crucial distinction: a quicker process is not necessarily the same thing as a more entertaining game, a more original idea, or a stronger creative result.

That distinction is easy to lose when discussions focus on the sheer visibility of AI-generated material. A system that can produce text, images or voice-like output may look dramatic from outside a studio. Yet a game is a connected work: ideas have to fit its mechanics, tone, visual language and intended player experience. Hayakawa’s emphasis on creators suggests that connecting those decisions remains more important than any individual shortcut.

What “entry barriers” means here

An entry barrier is anything that makes participation difficult for a new developer: specialized skills, expensive tools, access to technology, production time, or the ability to publish and find an audience. The expectation around AI is often that it could reduce some of those barriers by assisting with tasks that once required more expertise or more people.

Related coverage includes Konami President Downplays AI's Potential to Transform Game Development.

Hayakawa challenges the notion that this is an entirely new development. He points to two existing forces: generic game engines and UGC.

Generic game engines

A game engine is the underlying software used to build games. It can provide the technical systems that developers build upon rather than forcing every team to start from scratch. Hayakawa’s reference to generic engines is a reminder that broadly available development technology has already changed who can attempt to make games. The important point in his argument is not that barriers have disappeared, but that they have been falling through established tools for some time.

That matters because a lower technical barrier does not eliminate the creative work of making a game compelling. Development still involves choices about rules, pacing, feedback, art direction and how players understand what they are meant to do. A tool can broaden access, while the difficult work of making something people want to play remains.

User-generated content

UGC stands for user-generated content: material made by users rather than solely by a game’s original development team. Hayakawa treats its spread as another route by which people have already gained avenues to create. In practice, the wider significance of UGC is that it can move participation beyond simply playing a game. Users can become makers within a platform or community.

His pairing of UGC with engines is revealing. One lowers practical barriers to building games; the other gives users ways to create content inside game ecosystems. Together, they support a broader point: the industry already has mechanisms that expand creative participation without requiring AI to be cast as the first or only democratizing technology.

Efficiency is not the same as authorship

The most durable part of Hayakawa’s position may be the separation between production efficiency and creative authorship. A production pipeline is the chain of work that turns an idea into a shipped game. If AI can make a step in that chain faster, that is an efficiency claim. It does not, by itself, answer who made the key decisions, whether the material belongs together, or why a player will care about the result.

Hayakawa’s wording does not deny that AI may improve efficiency. Instead, it declines to treat that improvement as the defining measure of video-game value. His stated priority is “people and creators,” and the phrase covers more than a romantic defense of human labor. It is a statement about where entertainment and innovation come from: creative judgment rather than the mere ability to produce more output.

For players, that could be the practical takeaway. Big claims about AI often concentrate on what is technically possible. A player’s experience is governed by different questions: Is the game coherent? Is it inventive? Does it understand what it is trying to be? Does it make its systems and presentation work together? Those are questions of direction and craft, not just throughput.

There is also a business implication in Hayakawa’s assessment. If AI does not substantially alter the market, then its use alone is unlikely to become a reliable competitive advantage. Tools may matter, but a publisher or developer still needs ideas, teams and creative execution that give a game its identity. That is a more grounded claim than either the promise that AI will solve development’s hard problems or the prediction that it will instantly displace the people making games.

Why the comments stand out

The game business has been surrounded by confident claims that AI will radically increase productivity, generate content at scale and change development roles. Against that backdrop, a major company president describing the likely market impact as not significant is a meaningful counterweight. It does not settle the issue, nor does it establish a universal position for the industry. It does show that there is room between total rejection and total embrace.

The comments should also be read with appropriate care. Hayakawa’s remarks are presented in translation, and translated executive comments can leave room for nuance in emphasis or wording. The central idea, however, is clear in the available statement: AI may offer production benefits, but Konami does not appear to regard it as the thing that will determine whether games are compelling or innovative.

That stance is especially relevant when AI is discussed as though it were one monolithic technology. “AI” can refer to different tools and approaches, and the implications of using a system to support a workflow are not identical to those of generating game art, voice lines or other content. Treating all of those applications as one issue can obscure the real question: what is the tool doing, and which human creative decisions remain necessary?

What this means for developers and players

For aspiring developers, Hayakawa’s argument is neither a warning to ignore new tools nor a promise that established tools solve every problem. It is a reminder that access to technology is only one part of entering the field. Engines and UGC have already created opportunities to build and share work. AI may alter some workflows too. But access to a tool does not automatically create a distinctive design perspective, a coherent project or the ability to turn an idea into a game players remember.

For working creators, the comments place human contribution at the center of the conversation. The value of creators is not reduced to manually producing every asset or line of text. It includes the judgment involved in defining a game’s goals, evaluating what fits, revising what does not, and making countless connected decisions that give a project shape.

For audiences, Hayakawa’s view offers a useful way to look past the hype cycle. A game should not be judged as innovative merely because an AI tool was involved, and it should not be assumed to be better because it may have been made more efficiently. The final work—and the creativity that guides it—is what matters. That same focus on the people behind a game’s character-driven possibilities has also surfaced in discussion around how game worlds can leave room for character stories beyond the game itself.

Konami’s stated outlook is ultimately a caution against technological determinism: the belief that a new tool necessarily dictates the future of an entire medium. AI may become useful in specific ways, and its effect on production may develop over time. But Hayakawa’s position is that the market’s most important variables are still the people who imagine, shape and make the games—not the tool receiving the loudest headlines.