Epic tells developers to use AI tools to finish Disney game, report says

Updated October 13, 2026 6:24 pm

Epic Games is reportedly requiring developers on its unannounced Disney shooter to rely on AI tools such as Anthropic’s Claude as the project slips beyond its original March launch target. The move matters because it signals a more aggressive shift toward AI-driven game production at one of gaming’s biggest companies, and at one of its most closely watched licensed projects.

According to a Bloomberg report cited by The Verge, staff working on the game were directed under an “AI-first” approach that would reduce handwritten code and route more of the development pipeline through generative tools. Epic has not publicly detailed the plan, but a company spokesperson told Bloomberg the studio is “embracing AI-accelerated development.”

The unannounced title is believed to be a shooter set in the Disney universe, with characters from Marvel and Star Wars. It sits within a broader multi-year partnership between Epic and Disney, a deal that became more important after Disney invested $1.5 billion in Epic in 2024.

What Epic is reportedly changing

Epic is not just experimenting with AI in the background. The new report suggests the company is asking developers to use AI tools more directly and more often to push the Disney project toward completion.

One of the most striking details is the reported instruction that there should be “no more hand-written code.” Bloomberg also reported that the game’s art pipeline is being shifted toward “full AI workflows,” indicating that the technology is being applied to both programming and visual production rather than only to small, isolated tasks.

If accurate, the mandate would put Epic among the most assertive mainstream game studios in formalizing AI as part of daily production for a major licensed title.

How is Anthropic’s Claude being used?

Epic is reportedly steering developers toward Anthropic’s Claude as one of the primary tools in the workflow. In practice, that likely means engineers and artists can use the model to draft code, accelerate iteration, and assist with content generation, although the exact technical setup has not been publicly described.

Claude has become one of the most widely discussed enterprise AI assistants, especially for tasks that involve writing, editing, summarizing, or transforming text and code. For a game studio, that makes it a plausible fit for repetitive production work, prototype generation, and rapid iteration.

Epic’s use of the tool also reflects a broader trend: AI is increasingly being folded into development toolchains rather than treated as a separate novelty product.

Why this Disney project matters so much

The Disney game is important because it combines three of the most commercially powerful names in entertainment: Epic, Disney, and the Marvel and Star Wars franchises. That gives the project unusual visibility and makes its production decisions a signal for the rest of the industry.

The title also appears to be part of Disney’s attempt to deepen its gaming footprint through Epic, rather than treating games as side projects tied to films or streaming releases. For Epic, meanwhile, the project is an opportunity to demonstrate that AI can speed up work on a marquee release instead of just small-scale prototypes.

The partnership has already had in-game consequences. Epic has used Disney characters in Fortnite, including an AI Darth Vader, showing that the relationship between the companies has moved well beyond a single announcement or licensing deal.

How does this fit Epic’s broader AI strategy?

Epic has been publicly signaling for some time that it sees AI as a standard part of future game production. Chief executive Tim Sweeney has argued that AI will be woven into nearly all future development, and he has pushed back on marketplace labels that single out titles for using AI during production.

That view is consistent with the company’s willingness to use AI inside Fortnite itself and with the new direction reported for the Disney game. Rather than limiting AI to support functions, Epic appears to be moving toward an operating model in which generative tools are embedded into the workflow from the start.

This approach is also being adopted, in different forms, by other major technology and entertainment companies. Meta and Google have both been building and promoting AI development tools, suggesting that Epic is part of a much larger industry shift.

What does “AI-accelerated development” mean in practice?

“AI-accelerated development” usually means using AI systems to reduce the time spent on drafting, debugging, prototyping, asset generation, and iteration. For game studios, that can speed up the expensive and labor-intensive parts of production, particularly on complex projects with large teams.

It does not necessarily mean AI is replacing human developers. Instead, the phrase often implies that humans remain in charge of creative direction, review, and final quality control while AI handles time-consuming first drafts or repetitive tasks.

In Epic’s case, the reported instructions suggest a more assertive version of that model, with AI carrying a larger share of both code and art generation than many studios have publicly described.

Who is likely to feel the impact inside the studio?

Developers, artists, and production leads are likely to feel the effects most directly. If code and visual assets are being pushed through AI-first systems, that changes the pace of review, the skill set required for daily work, and the amount of manual craftsmanship expected on the front end of a project.

It can also alter team structure. Fewer tasks may be assigned in the same way they would be under a traditional production model, while new oversight roles emerge around prompt design, quality assurance, model selection, and AI output auditing.

Those changes can improve throughput, but they can also create tension if staff members view the technology as reducing the value of human-made work or changing the standards for original creation.

Timeline of the Epic-Disney project

The following timeline summarizes the key milestones and reported developments surrounding the project.

Why developers are embracing AI now

AI tools are attractive because game development is expensive, deadline-driven, and full of repetitive tasks that can slow production. Large studios face pressure to ship ambitious worlds, manage complex pipelines, and control budgets while still meeting fan expectations.

Generative systems can help teams move faster on early drafts, code scaffolding, asset variations, localization, and internal experimentation. They can also make it easier to explore design ideas before committing significant human time.

Still, the promise of speed comes with trade-offs. Outputs must be checked carefully, intellectual property concerns remain unresolved across the industry, and teams may need new rules for quality assurance and attribution.

What are the risks of an AI-first mandate?

An AI-first mandate can produce faster iteration, but it can also increase the risk of inconsistent quality, duplicated design patterns, and overreliance on model output. For art and writing, there is also the risk that visual or narrative work becomes too generic if teams lean too heavily on the same tools.

From a management standpoint, there are cultural risks too. A directive that discourages handwritten code can be read as a productivity push, but it may also generate concern among staff about job security, creative control, and the long-term direction of the studio.

Those tensions are part of why AI use in creative industries remains controversial even as it becomes more common.

What Epic’s layoffs add to the picture

Epic’s push toward AI is unfolding against a difficult business backdrop. Earlier this year, the company laid off more than 1,000 employees after what it described as a downturn in Fortnite engagement since 2025.

That context matters because companies often accelerate automation after periods of financial pressure or slowing growth. In that environment, AI can be presented as a way to do more with fewer people, or at least to do more quickly with the same teams.

For critics, that raises a blunt question: is AI helping artists and engineers work better, or is it becoming a justification for leaner staffing and lower labor costs?

How the industry is likely to react

Reactions are likely to split along familiar lines. Supporters will argue that AI is simply the next efficiency layer in a digital industry that has always depended on new tools. They will point to reduced production time, broader experimentation, and better scalability for large projects.

Opponents will worry that creative work is being flattened into machine-assisted output, that AI-generated assets may weaken artistic identity, and that the shift could erode jobs or bargaining power across game development.

The debate is especially sharp in gaming because games are both software and art. That makes them a natural testing ground for AI, but also a flashpoint for arguments over originality, labor, and ownership.

Epic’s position, as relayed to Bloomberg, is that the company is embracing “AI-accelerated development,” a phrase that captures its belief that the tools should speed production rather than sit at the edges of it.

What to watch next

The most immediate question is whether Epic can ship the Disney game more quickly with AI-heavy workflows than it could with a traditional production process. A second question is whether the project’s final quality will satisfy both Disney’s brand standards and the expectations of fans of Marvel and Star Wars.

Another issue is whether Epic’s reported policy becomes a template for other high-profile licensed games. If the project succeeds, more studios may copy the approach. If it stumbles, the industry may look at it as a cautionary tale about the limits of AI in creative production.

For now, the reporting points to a significant shift: Epic is not just talking about AI in game development. It appears to be putting the technology at the center of a major Disney title, and that could make this project one of the clearest case studies yet for how generative AI is changing entertainment production.

Key facts at a glance

As game development gets more expensive and more competitive, the question is no longer whether AI will be used in big-budget projects. The real issue is how far studios will go in letting it shape the code, the art, and the final product itself.