According to a study conducted by global consulting firm Bain & Company, generative AI is set to become a dominant force in game development, growing from less than 5% to 50% or more within the next five to ten years. This research, titled “How will Generative AI Change the Video Game Industry,” surveyed 25 gaming executives worldwide to gain insights into the impact of generative AI on the industry. The majority of respondents believe that generative AI will enhance game quality and expedite game development. However, the study also revealed that only 20% of executives believe it will lead to reduced development costs.
Despite the potential benefits of generative AI, 60% of surveyed executives do not anticipate it to alleviate the talent shortage in the gaming industry significantly. This finding suggests that generative AI is not expected to replace human creativity and the creative spark necessary for game development. According to Andre James, global head of Bain’s Media & Entertainment practice, most executives believe that generative AI will free developers from mundane tasks but still require human oversight. While generative AI may streamline certain aspects of game development, human creativity remains invaluable.
In comparison to other technologies such as virtual reality (VR) and cloud gaming, generative AI is expected to have a more significant impact on the gaming industry. The study by Bain & Company highlights that generative AI will fundamentally change the way games are made, particularly during the pre-production and production phases. By automating certain tasks, generative AI can free up valuable time, allowing game developers to focus on the creative storytelling component of game making. The quality, speed to market, and interactive nature of games are predicted to increase exponentially with the integration of generative AI.
While the potential of generative AI in game development is promising, there are several challenges and considerations that need to be addressed. One of the primary barriers is system integration, as gaming executives identified it as the main challenge when implementing generative AI. Other challenges mentioned in the survey include data training, technical capabilities, regulatory and legal oversight, and implementation costs.
Moreover, long-term challenges for gaming companies adopting generative AI include formulating effective AI strategies, navigating the complex landscape, addressing implementation implications, and retaining AI talent. Despite these challenges, Bain emphasizes that gaming companies can maximize the benefits of generative AI by taking a disciplined and deliberate approach, basing decisions on player benefits, strategically assessing opportunities for collaboration, and recognizing the need for new work processes and enterprise architecture strategies.
Generative AI is anticipated to play a more significant role in the production stage of game development in the next decade, shifting from its current predominant use during preproduction. Key areas where generative AI is expected to have a larger impact include story generation and nonplayable characters (NPCs), game assets, live game operations, and user-generated content. Bain’s study also highlights the potential for generative AI to empower users to create their own games, making game development more accessible to less technically inclined players.
Generative AI is poised to revolutionize the video game industry, transforming the way games are made and increasing their quality, speed, and interactivity. While some challenges and considerations need to be addressed, the majority of gaming executives recognize the potential of generative AI and its ability to enhance game development. It is crucial for gaming companies to approach generative AI with a thoughtful and disciplined strategy, considering the benefits for players, exploring collaboration opportunities, and developing new work processes. The future of game development is here, and generative AI is set to redefine the industry.