Google Executive: AI Is Game Industry's Solution

Jack Buser, Google Cloud's global director for games, has declared artificial intelligence as the industry's necessary solution to address its current economic challenges, stating that AI will reduce development times and costs while allowing smaller studios to compete more directly with major publishers. PC Gamer reported Buser's remarks in an interview with GamesIndustry.

Buser described the video game business as "finally returning to revenue growth" but noted that profits are declining, games are being cancelled, and layoffs continue to sweep the industry. He emphasized that "the only real growth is coming from Roblox and China, and if you're not in one of those categories, odds are you're struggling to some extent." He also cited a statistic that "more than half of players are happily enjoying games over six years old," indicating a lack of new content to drive engagement. This assessment aligns with broader industry reports of a fragmented market where only a few players thrive while others face financial distress.

Referencing the "decimation of the game industry that kicked into high gear in 2023 and hasn't eased up since," Buser stated, "Once you start to look underneath the surface of what's going on in the industry, you realize like, oh my gosh, we are in trouble." He characterized the current business model as "not sustainable," adding, "We have to transform as an industry to meet this moment so that we can drive into the future."

According to Buser, AI is accelerating key business functions including marketing, business strategy, and analytics. He explained that AI adoption is reducing development iteration times, which he linked directly to cost reduction: "Time in a development pipeline is highly, if not linearly, correlated, with cost." He noted that the industry's previous model of "spending five, seven, 10 years to build a video game and spending hundreds of millions of dollars is just not sustainable." This perspective reflects a growing industry sentiment that traditional development approaches are financially untenable.

Buser highlighted a dual trend: large studios are optimizing development pipelines, while smaller studios are leveraging AI to "punch way above their weight" and compete with larger-budget games. "We're seeing the long tail, as well as the sort of torso of the industry start to realize that with AI, they can punch way above their weight, way above their weight, and they can actually compete with some of these larger budget games by leveraging AI," he said. This suggests AI could democratize competition, enabling smaller studios to achieve results previously reserved for major publishers.

He compared AI to Iron Man's suit, advising developers to "put it on and see what types of superpowers it's able to grant you." Buser also pointed to Series Entertainment, a company that raised $28 million in 2024 and uses generative AI, as an example of AI's potential to handle larger workloads. He acknowledged the industry's "tremendous job loss" over recent years, stating that AI is "the equivalent of an Iron Man suit that developers have to put on to face the issues of an otherwise unsustainable industry."

Buser concluded that AI will help "right size these business models" and create a "healthier industry, not just for the big players, but for small players as well." This vision positions AI not merely as a cost-cutting tool but as a transformative force that could reshape the industry's economic structure. For developers, this implies that AI-driven efficiency could reduce the barrier to entry for new studios, foster greater innovation, and potentially reverse the trend of canceled projects and layoffs by making game development financially viable at smaller scales.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn