Google Cloud’s Gaming Chief Thinks AI Is the Iron Man Suit for Devs

Ladies and gentlemen, for your consideration… an Iron Man analogy.

Jack Buser, the global director for games at Google Cloud, compared equipping game developers with AI to giving them Iron Man’s suit—and warned that studios refusing to embrace this tech revolution might not survive.

“It’s like the Iron Man suit of armor, right? It’s still you inside the suit of armor, but you’re suddenly able to do things that you couldn’t do before,” Buser told Business Insider.

The evidence backs him up. Data from a Google Cloud study published five months ago shows that 97% of developers believe generative AI is reshaping the industry. Meanwhile, gaming revenues hit $189 billion this year, yet the industry faces mounting pressure from rising costs and stagnant player engagement.

The transformation

The acceleration has been remarkable. A Harris Poll survey conducted six months ago found that developers are integrating AI across critical areas: 47% report AI is speeding up playtesting and balancing, while 44% use it for code generation and scripting support.

“There will always be holdouts, just like every technological revolution, but it’s becoming so common now,” Buser observed. “We’re seeing a major shift.”

The technology is streamlining operations across the board, resulting in cost cuts, faster production times, and helping developers tackle an expanding array of tasks.

AI agents are being deployed by 87% of developers to create more dynamic gameplay experiences, with 38% using them for automated tutorials and dynamic balancing.

CTOs must act now or get left behind

The Google Cloud executive’s message to gaming leaders is blunt: embrace AI leadership or watch studios fall behind. “If you’re the CTO of a games company, make that suit of armor available,” he urged. But implementation requires more than just purchasing new tools.

Successful AI integration demands both technical implementation and cultural transformation: “It has as much to do with getting these tools up and running in your development pipelines as it does working culturally with your company to help it make that transformation.”

The challenge extends beyond development teams. Getting comfortable with AI shouldn’t be confined to developers alone, according to the industry veteran. Executives need hands-on experience too: “It takes getting your hands dirty, experimenting with the technology, seeing what it does and what it doesn’t do.”

Companies are already restructuring around this reality. Research shows that 62% of development teams report new AI-focused roles have emerged, while 56% say existing positions have evolved to include AI-related tasks.

Era of living games is launching

Beyond workflow improvements, AI is fundamentally changing what games can become. The Google Cloud director described the era of “living games”—titles that use AI in real time to analyze player behavior and generate new content dynamically.

This represents a massive leap from current live-service models. While developers already continue adding content after initial release, AI could make these experiences more adaptable, personalized, and immersive. The technology could also shorten update turnaround times, creating seamless transitions for players.

Real-world applications are already emerging. Capcom is using Google’s Vertex AI and Gemini to generate hundreds of thousands of development ideas. Series Entertainment reports cutting development time by 90% using Google Cloud’s AI tools.

“As we look forward, we’re looking at things like real-time game experiences,” the executive explained. The implications are staggering—games that continuously evolve based on how players interact with them.

A year of scaling

2026 marks a crucial transition point for the industry. “This year is where companies start to scale these efforts,” the Google Cloud leader predicted.

The evolution will be dramatic. “Game developers who were using AI in one or two parts of their development workflow will suddenly be using it throughout their workflow,” he said. Players will start seeing “games that are using multiple AI-based features that are affecting the player experience.”

Industry reports support this timeline. Globant’s analysis suggests that as companies move through this year, success will depend on how effectively studios integrate AI responsibly while maintaining player trust.

The technological foundation is solidifying rapidly. Google’s latest Gemma 3 and Gemini 2.5 models are designed to run directly on devices—including smartphones and workstations—offering enhanced privacy and control for developers.

The message from the gaming boss is clear: the AI transformation of gaming isn’t coming—it’s here. Studios that embrace the “Iron Man suit” of AI tools will gain superhuman capabilities, while those that resist risk being left behind in an increasingly competitive landscape.

Microsoft has unveiled Maia 200, a custom AI chip designed to power Copilot and Azure, challenging Amazon and Google in the hyperscaler silicon race.

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