{"id":84839,"topic":"ai","source":"Elon University","title":"Elon professor explores how AI may lower barriers for indie game developers - Elon University","url":"https://www.elon.edu/u/news/2026/09/17/elon-professor-explores-how-ai-may-lower-barriers-for-indie-game-developers/","url_hash":"a3b878db85aff6bc92c8d94a2db4ffed9bc52a72","author":"","summary":"Elon professor explores how AI may lower barriers for indie game developers Elon University","content":"Hyunuk Kim, assistant professor of business analytics, co-authored research examining how independent game developers are using generative AI to turn ideas into playable games.\nGenerative AI may be helping more independent game developers bring their ideas to market, according to new research co-authored by Hyunuk Kim, assistant professor of business analytics in Elon University’s Martha and Spencer Love School of Business.\nThe study, “Artificial Intelligence and Market Entrant Game Developers,” looked at whether the growing availability of generative AI has changed who enters the video game market and how developers use AI in the creative process.\nKim and his co-authors analyzed more than 66,000 developers whose first game was published on Steam between 2014 and 2025. They found that more indie developers entered the platform in 2024 and 2025 than earlier trends predicted, while new non-indie developers remained within the expected range.\nKey findings\n- More indie developers entered the market after generative AI became widely available. The increase was greater than researchers’ models predicted based on previous trends.\n- Images were the most common use of AI. Both indie and non-indie developers most often reported using AI to generate images, while use for music, voice and coding was lower.\n- Indie developers used AI differently. Compared with non-indie developers, indie developers were more likely to use AI for music and coding.\n- AI was associated with shorter indie games. The researchers say this may reflect AI’s usefulness in helping developers quickly develop and test ideas.\n- The study shows an association, not causation. The researchers do not conclude that generative AI caused more indie developers to enter the market.\nKim plans to bring the research into his business analytics courses.\n“I will use this paper in class to demonstrate the positive role of AI in facilitating human creativity by enabling individuals to quickly prototype and implement their ideas,” Kim said.\nThe research was published in ACM AI Letters by the Association for Computing Machinery and co-authored with Seonbin Jo and Woo-Sung Jung of Pohang University of Science and Technology and Jisung Yoon of the KDI School of Public Policy and Management.\nKim joined Elon University in Fall 2023 from Boston University. His expertise includes business analytics, innovation, misinformation, and computational social science. He is currently the director of the Center for Applied Analytics and AI at Elon.","image_url":"https://eloncdn.blob.core.windows.net/eu3/sites/74/2024/12/Hyunuk-Today-at-Elon-1.jpg","lang":"en","published_at":"2026-09-17T21:31:17+00:00","fetched_at":"2026-09-17T23:15:05+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"Hyunuk Kim, assistant professor of business analytics, co-authored research examining how independent game developers are using generative AI to turn ideas into playable games. 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They found that more indie developers entered the platform in 2024 and 2025 than earlier trends predicted, while new non-indie developers remained within the expected range.\nKey findings\n- More indie developers entered the market after generative AI became widely available. The increase was greater than researchers’ models predicted based on previous trends.\n- Images were the most common use of AI. Both indie and non-indie developers most often reported using AI to generate images, while use for music, voice and coding was lower.\n- Indie developers used AI differently. Compared with non-indie developers, indie developers were more likely to use AI for music and coding.\n- AI was associated with shorter indie games. The researchers say this may reflect AI’s usefulness in helping developers quickly develop and test ideas.\n- The study shows an association, not causation. The researchers do not conclude that generative AI caused more indie developers to enter the market.\nKim plans to bring the research into his business analytics courses.\n“I will use this paper in class to demonstrate the positive role of AI in facilitating human creativity by enabling individuals to quickly prototype and implement their ideas,” Kim said.\nThe research was published in ACM AI Letters by the Association for Computing Machinery and co-authored with Seonbin Jo and Woo-Sung Jung of Pohang University of Science and Technology and Jisung Yoon of the KDI School of Public Policy and Management.\nKim joined Elon University in Fall 2023 from Boston University. His expertise includes business analytics, innovation, misinformation, and computational social science. He is currently the director of the Center for Applied Analytics and AI at Elon.","excerpt":"Hyunuk Kim, assistant professor of business analytics, co-authored research examining how independent game developers are using generative AI to turn ideas into playable games. 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They found that more indie developers entered the platform in 2024 and 2025 than earlier trends predicted, while new non-indie developers remained within the expected range.\nKey findings\n- More indie developers entered the market after generative AI became widely available. The increase was greater than researchers’ models predicted based on previous trends.\n- Images were the most common use of AI. Both indie and non-indie developers most often reported using AI to generate images, while use for music, voice and coding was lower.\n- Indie developers used AI differently. Compared with non-indie developers, indie developers were more likely to use AI for music and coding.\n- AI was associated with shorter indie games. The researchers say this may reflect AI’s usefulness in helping developers quickly develop and test ideas.\n- The study shows an association, not causation. The researchers do not conclude that generative AI caused more indie developers to enter the market.\nKim plans to bring the research into his business analytics courses.\n“I will use this paper in class to demonstrate the positive role of AI in facilitating human creativity by enabling individuals to quickly prototype and implement their ideas,” Kim said.\nThe research was published in ACM AI Letters by the Association for Computing Machinery and co-authored with Seonbin Jo and Woo-Sung Jung of Pohang University of Science and Technology and Jisung Yoon of the KDI School of Public Policy and Management.\nKim joined Elon University in Fall 2023 from Boston University. His expertise includes business analytics, innovation, misinformation, and computational social science. 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They found that more indie developers entered the platform in 2024 and 2025 than earlier trends predicted, while new non-indie developers remained within the expected range.\nKey findings\n- More indie developers entered the market after generative AI became widely available. The increase was greater than researchers’ models predicted based on previous trends.\n- Images were the most common use of AI. Both indie and non-indie developers most often reported using AI to generate images, while use for music, voice and coding was lower.\n- Indie developers used AI differently. Compared with non-indie developers, indie developers were more likely to use AI for music and coding.\n- AI was associated with shorter indie games. The researchers say this may reflect AI’s usefulness in helping developers quickly develop and test ideas.\n- The study shows an association, not causation. 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