Image by Siarhei via Adobe Stock.
What role does generative AI fulfill in game creation?
That inquiry is one developers have aimed to address since generative AI technology emerged and began appearing in every tool, platform, and service with the commercial rise of large language models (LLMs) in 2022. Recently, the significance of generative AI in programming has ascended to the forefront of numerous discussions, but recent findings from the GDC Festival of Gaming State of the Game Industry report suggest that this is not the primary application among industry experts.
Per the report, 40 percent of industry experts employ generative AI in their work. Of those, 73 percent of participants indicated that “research/brainstorming” was their top application. 62 percent stated they utilized it for “data analysis and summarization,” while only 56 percent reported using it for “code generation/debugging.” Respondents were permitted to select multiple options that illustrated their use of the tool.
Related:SAG-AFTRA unveils new protocol for employing union actors in game pitches
This suggests that in the realm of professional game development, merely half of generative AI users are employing the technology for code creation.
Simultaneously, 37 percent of respondents mentioned they utilize the technology for game prototyping. 22 percent indicated its use for “concept art and visual development.” While some respondents noted using generative AI for content personalization or procedural generation, ultimately only six percent of users stated they leverage the technology to produce what will eventually become “player-facing content.”
What influences are molding the application of generative AI?
The acceptance of generative AI tools has encountered extremely strong opposition from segments of the professional game development sector, with prior data revealing that half of developers are apprehensive that the technology may diminish the quality of games. Throughout both this year’s survey and findings from previous years, respondents articulating their views regarding generative AI continue to express concerns about the environmental consequences of AI tools and the incorporation of copyrighted material in their foundational training data.
