The adoption of artificial intelligence tools has become an integral part of daily game development. According to a Google Cloud survey conducted with The Harris Poll, AI is being used at various stages of the process , with the aim of increasing speed and reducing costs without sacrificing creative focus.
Far from being a passing fad, the results point to a point of no return: the unstoppable rise of generative AI in Steam video games , with 97% believing that generative AI is reshaping the industry. However, its implementation is accompanied by concerns about the return on investment, data ownership, and the impact on employment.
What the Google Cloud study says
The survey collected responses from 615 professionals in the United States, South Korea, Norway, Finland, and Sweden in late June and early July. The data paints a clear picture: AI agents are used across the board, from pre-production to maintenance, and the legal debate is particularly relevant in the current context, as seen in the video game actors' strike.
Overall, the perception is that AI is no longer a distant horizon. It's considered a present-day technology that accelerates cycles and enables more responsive experiences , according to Google Cloud's Gaming division, which emphasizes AI's role as a driver of innovation.
What teams use it for
The most widespread use involves automating repetitive and tedious tasks , freeing up creative professionals for design, storytelling, and refining game mechanics. AI is also used to support code generation, testing, difficulty balancing, and localization.
One key finding: 44% report using agents to optimize and quickly process content (text, voice, code, audio, and video). This assistance accelerates everyday decisions and reduces bottlenecks without requiring additional teams.
Agents are also being integrated into the game itself: NPC control, dynamic challenge adjustments, tutorial assistance, and community moderation . Players' expectations for more vibrant and responsive worlds are driving these trials.
Labor impact, costs and legal dilemmas
Automation arrives at a sensitive time: the industry is grappling with thousands of layoffs and restructurings . Some staff feel their role is shifting towards monitoring and correcting model outputs, fueling concerns about job losses.
From a financial perspective, there is consensus on the potential for efficiency: 94% expect long-term cost reductions . Even so, a significant number admit to difficulties in accurately measuring the return on investment and cite the initial integration costs as a barrier.
The most contentious issue is the legal one. 63% express concern about the ownership of data and content generated with AI , with uncertainty surrounding licenses and authorship. This debate is progressing more slowly than the technology itself.
Small studios, big publishers and new dynamics
AI is opening up opportunities for smaller teams: almost a third of them perceive that it lowers barriers to entry by allowing them to prototype more and better with fewer resources. At the same time, large publishers are testing systems to moderate chats or monitor toxicity using algorithms.
Industry voices describe AI as a creative co-pilot and productivity multiplier , effective when it deepens immersion and narrative. They also warn that, without standards and safeguards, errors escalate quickly.
In the design, the teams are going beyond simply generating resources: agents that react to the player, procedural terrains with their own style , and systems that help adjust difficulty on the fly are already in the testing phase.
Where development is moving
With most convinced of its medium-term value, studios are deploying pilot programs, internal training, and success metrics to integrate AI without diluting the identity of their games. The key lies in aligning technology and creative vision.
The next wave of releases and hardware points to a recovering sector, and all indications are that AI will play a central role in how titles are conceived, produced, and maintained . Challenges remain, but the movement is already underway.
The picture painted by the survey is clear: AI has become structural in industry workflows , with tangible benefits in speed and creative reach, while also forcing a realistic approach to costs, metrics, employment, and licensing to avoid stumbling during adoption.
