According to theverge.com, the latest industry survey from the GDC Festival of Gaming reveals that more video game developers are incorporating generative AI tools into their workflows. In 2026, 40% of surveyed developers reported using generative AI as part of their job, up from 36% in 2025. Usage rates are even higher among developers working on free-to-play games at 58% and exclusively mobile game studios at 70%.

Generative AI Adoption Strongest in Free-to-Play and Mobile Game Sectors

The survey shows that over half of developers focused on free-to-play games have adopted generative AI tools, and among mobile-only studios, this usage reaches 70%. This illustrates a robust demand for AI applications in these gaming segments. Usage breakdown reveals 73% of respondents use AI for research and brainstorming, 62% for data analysis and summarization, and 56% for code generation and debugging.

Role of Generative AI in Indie and Retro Game Development

Despite significant opposition from many developers, particularly in the indie scene, AI remains central to indie awards conversations. For example, the developer House House used large language models in a limited fashion during the final stretch of developing “Big Walk” to overcome technical challenges. Generative AI is also increasingly employed to reverse-engineer retro games.

Industry Leaders Highlight AI as Future Game-Changer

Xbox CEO Asha Sharma hinted in a November post that AI will be crucial for Xbox’s future, stating, “A small team will be able to build worlds that today demand hundreds of developers and hundreds of millions of dollars.” Her comments underscore the industry’s high expectations for AI to enhance development efficiency and scale.

Editor's take: Generative AI Opens New Avenues Amid Industry Challenges

With 40% of developers integrating generative AI into their workflows, this trend could foster innovative development methods and cost efficiencies, especially appealing to indie and mobile game developers with limited resources. Entrepreneurs should monitor AI’s impact across asset creation, code assistance, and creative brainstorming. To validate the technology’s effectiveness, teams can pilot generative AI tools on small projects to assess improvements in development speed and quality, while gauging team adaptation and skill integration challenges. Additionally, with 34% of respondents reporting layoffs in the past two years, it’s important to consider both the opportunities and risks AI adoption brings to the gaming workforce.