Capcom Plans to Turn RE Engine Into an AI Game Engine
Japanese game publisher Capcom plans to integrate artificial intelligence directly into its proprietary RE Engine to streamline the increasingly complex workflow of modern game development.

During the Capcom Open Conference RE: 2026, programmer Satoshi Ishida revealed the studio's long-term vision for its proprietary game engine. In a presentation titled "The Outlook and Future of the REX Project, Further Evolving the RE Engine for the Next Generation," Ishida explained how the company plans to address the ballooning scale of modern game production. The studio behind massive franchises like Resident Evil aims to tackle these challenges by embedding artificial intelligence directly into its development pipelines.
Historically, Capcom has maintained a cautious stance on generative technology, previously stating that it would avoid using AI-generated assets in its final products. Instead, the company focused on using the technology to optimize internal workflows. However, Ishida's latest presentation suggests a more ambitious evolution. The developer outlined a roadmap to gradually transform the RE Engine into what he described as an "AI-generation game engine," signaling a deeper, more systemic reliance on automated tools.
For game developers and technical artists, this shift could fundamentally alter daily workflows. Creating massive, high-fidelity environments and complex character interactions currently requires thousands of hours of manual labor. By integrating machine learning tools directly into the engine, Capcom hopes to automate repetitive tasks, allowing creators to focus on high-level design. According to Ishida, this incremental transition is building toward a collaborative ecosystem where developers and AI build games side by side.
This transition could set a new standard for how major publishers manage the rising costs and extended timelines of triple-A game production. If Capcom successfully implements these AI-driven workflows, it may prove that machine learning can be used to accelerate development without compromising the creative control of human artists.
This is our own summary of reporting by The Verge AI



