Hideo Kojima has again addressed the growing role of artificial intelligence in game development, offering a view that is neither a blanket rejection nor an unconditional embrace. The Metal Gear and Death Stranding creator believes AI can make production more efficient and can help teams handle time-consuming work, but he is concerned about what could be lost if creative fields increasingly prioritize instant results over the act of making something.
Speaking in a recent interview about the technological changes he has witnessed across roughly four decades of development, Kojima compared the current AI conversation with earlier shifts brought by tools such as word processors and Photoshop. Those technologies made many tasks faster and more practical. In his view, AI has accelerated that trend further, helping creators reach deadlines more quickly.
That efficiency has obvious benefits in an industry where schedules, costs, technical demands, and team sizes can be enormous. But Kojima's concern is not primarily about whether AI can produce usable material. Instead, it is about the relationship between a creator and the work itself. For him, the value of drawing, designing, writing, or building does not begin and end with the final asset or finished product.
The Process Matters as Much as the Result
Kojima argued that completing a picture is not necessarily the most enjoyable part of drawing. The engaging part is the process: trying an approach, revising it, encountering mistakes, discovering unexpected possibilities, and gradually reaching a result. He contrasted that experience with repeatedly entering prompts into a computer until it returns an image close to what the user wants, an approach he said does not particularly interest him as a form of creation.
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To explain that distinction, Kojima pointed to hands-on hobbies and activities such as building model kits or assembling Lego. A completed model may be satisfying, but much of the pleasure comes from the work required to get there. Choosing pieces, solving small problems, following or adapting instructions, and seeing an object take shape are all part of the experience. Removing every step between an idea and an outcome may be convenient, yet it also changes what the activity means to the person doing it.
That perspective is especially notable coming from a developer whose games have frequently emphasized detail, unusual mechanics, elaborate world-building, and the value of player participation. Kojima's projects often ask players to engage with systems that can be slow, deliberate, or experimental rather than simply moving them from one cinematic endpoint to another. His comments on AI suggest a similar belief about development: friction is not always waste, and difficulty is not always a problem that needs to be optimized away.
For creators, the uncertain route toward an answer can be a source of motivation. Kojima described the trial-and-error period between an initial concept and a completed work as the part that gets his adrenaline going. It is the stage where an artist, designer, writer, or developer learns what works, what fails, and what could be better than the original plan. If that stage disappears, the final result may still exist, but the creative experience behind it could become fundamentally different.
AI as a Tool, Not a Replacement for Creative Engagement
Kojima has not positioned AI as inherently hostile to development. He has previously described it more as a friend, particularly when it can take on tedious tasks and help teams manage budgets and time. That practical role remains consistent with his latest comments. In a large-scale production environment, there are many repetitive duties that can consume resources without necessarily representing the heart of a creator's vision.
Automation has long been part of making games. Production pipelines rely on tools that organize files, process data, test builds, create visual effects, manage animation workflows, and streamline countless other tasks. The question raised by Kojima is not whether technology should ever make work easier. It is which parts of the work should be made easier, and what happens when systems built for efficiency begin to take over areas that people find personally meaningful.
There is a meaningful difference between using a tool to clear repetitive administrative work and using it to bypass the exploratory stage of artistic decision-making. In the first case, a developer may gain more time to focus on story, level design, mechanics, direction, and collaboration. In the second, the shortcut may risk replacing the very process through which a creator develops ideas, skills, and a distinctive point of view.
Kojima acknowledged that efficiency is useful for someone whose sole objective is to deliver a product. That is a realistic observation in a commercial medium. Games are expensive to make, and studios face real pressure to finish projects on schedule. Still, he stressed that people become creators because they enjoy creating. A finished work is important, but it is not the only reason to make one.
A Concern for the Next Generation
Looking beyond the immediate future, Kojima said he expects things to be fine over the next five to ten years. His deeper concern is a longer-term one: if AI remains unrestricted, it could eventually come to play a major role in creative fields. He framed that possibility as something that may unfold after his own lifetime, saying he likely will not be around when it does and that he wants to pass the torch to younger generations.
The remark gives his comments a generational dimension. The developers, artists, and writers entering creative industries now will shape the norms around AI tools as they mature. They may inherit production systems in which automated assistance is commonplace, perhaps even expected. Kojima's warning is not simply that those creators could lose jobs or find their work changed. It is that they could lose access to the rewarding, formative process that helps make them creators in the first place.
That concern extends beyond games. Creative work often involves learning through failure: a sketch that does not work, a scene that must be rewritten, a design that needs to be rebuilt, or a prototype that reveals a better direction. Those failures can be frustrating, but they are also informative. They produce judgment. They teach people why one decision is stronger than another, and they can lead to discoveries that would not have appeared through a direct path to a predetermined result.
In game development, that iterative process can be particularly important. A mechanic may sound compelling in a design document yet feel wrong when players pick up a controller. A visual concept may need adjustment once it is placed in motion. A level can change dramatically after testing reveals how players actually navigate it. A tool capable of generating quick options may assist those efforts, but it cannot automatically determine which choice best serves a project's identity, emotional impact, or intended player experience.
What Kojima's View Means for Game Development
Kojima's position recognizes the tension at the center of the AI debate. Developers want better tools, reduced busywork, manageable costs, and more time to make ambitious games. Players benefit when teams are able to spend their energy on polish and inventive ideas rather than avoidable production bottlenecks. Yet games are also authored works, built through individual taste and collective experimentation. Treating all steps in that process as inefficiencies risks misunderstanding why people make games.
There is no simple line separating useful assistance from a process that becomes overly automated. Different teams, disciplines, and projects will have different needs. AI may prove helpful in areas involving organization, technical support, accessibility, localization workflows, or routine production tasks. At the same time, studios and creators will need to decide how to preserve human authorship, creative learning, and the room to make mistakes without viewing every detour as a failure of productivity.
Kojima's comments also arrive while he continues work on new projects. He has said that Physint, his upcoming action espionage project, will be quite different from Metal Gear, with new ideas and a different kind of spy action in mind. That ambition reflects the same philosophy he described in discussing AI: creative work remains exciting when it involves pursuing an uncertain idea, testing possibilities, and trying to make something that does not merely repeat what came before.
For Kojima, the future of AI is not only a question of what technology can generate. It is a question of what creators may no longer get to experience if the journey becomes less important than the output. The challenge for the industry will be finding ways to use powerful new tools without surrendering the experimentation, struggle, and personal investment that make the act of creation worthwhile.
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