In a recent survey of European game developers, a clear majority—61 percent—expressed concern that the rise of generative artificial intelligence will intensify pressure to deliver projects more quickly and increase overall output. This anxiety centers on the expectation that AI tools will speed up certain aspects of development, pushing teams to meet tighter deadlines and potentially sacrificing the creative breathing room that many designers and programmers value. Interestingly, only about a third of respondents—35 percent—believed that AI might directly threaten their employment or diminish the demand for their specific roles.
In other words, while the technology is seen as a catalyst for faster work, the fear of outright job loss appears less pronounced among this community. These insights come from a report titled "Talent Signals Reshaping the Games Industry," authored by Tanja Loktionova, founder of Values Value and co‑founder of InGame Job. The analysis draws upon data collected in the tenth iteration of the Big Games Industry Employment Survey, a comprehensive study that tracks trends in hiring, workforce composition, and emerging challenges across the European gaming sector. A brief preliminary version of the report is currently available online, with the full, detailed publication slated for release in November 2026.
Beyond the headline worry about speed, the survey uncovered that just over half of the participants—slightly more than 50 percent—are uneasy that generative AI could erode the overall quality of their work. Respondents voiced concerns that reliance on AI‑generated assets, code snippets, or narrative suggestions might lead to a homogenisation of game experiences or a drop in the polish that players expect from high‑budget titles. Coupled with this, 46 percent of developers indicated that AI makes it more difficult to accurately gauge a colleague’s genuine skill set. When a machine can produce a piece of art or a block of code in seconds, distinguishing between human craftsmanship and algorithmic output becomes a nuanced challenge, potentially complicating performance reviews, promotions, and hiring decisions.
Ethical considerations, however, seemed to occupy a smaller portion of the conversation. Only 29 percent of those surveyed reported having ethical reservations about AI use—issues such as data privacy, bias in training models, or the moral implications of automating creative decisions.
Meanwhile, a modest 12 percent indicated they harboured no concerns at all, suggesting a spectrum of attitudes ranging from cautious optimism to outright indifference. The impact of AI on daily workflows was striking: 78 percent of respondents confirmed that their work habits had changed in some way because of AI tools. Within this group, 33 percent described the transformation as significant, noting that entire pipelines—such as concept art generation, level design, or automated testing—had been restructured around AI capabilities.
Another 45 percent reported more modest adjustments, like using AI for routine tasks, proofreading dialogue, or generating placeholder assets, while 22 percent claimed their processes remained largely untouched. From a hiring perspective, the survey revealed a noteworthy trend among company founders. About 35 percent disclosed that they had opted not to fill a vacancy because they believed AI tools could accomplish the required tasks more efficiently or cost‑effectively. This decision reflects a broader industry conversation about the balance between human talent and machine assistance, especially in roles that involve repetitive or highly technical work.
Financial pressures also featured prominently in the data. Nearly half of the founders—48 percent—admitted that their studios were operating at a loss at the time of the survey. In response, 60 percent said they were deliberately keeping their development teams small, likely as a strategy to control overhead while they navigate the uncertain economic climate and the evolving role of AI in production.
The findings align with broader industry sentiment captured in the recent Gamescom Dev annual speaker survey. That poll indicated that a substantial 83 percent of respondents anticipated generative AI would influence team structures or overall productivity in the near future. When asked specifically about the effect on employment, 36 percent believed AI would reshape existing roles rather than shrink team sizes, suggesting a shift toward hybrid human‑AI collaboration. Conversely, 33 percent expected that AI would lead to leaner teams, while 14 percent were confident that AI would boost individual output without necessarily reducing headcount.
A smaller segment—17 percent—did not foresee any workforce reductions at all. Taken together, these data points paint a nuanced picture of the European gaming landscape as it grapples with rapid AI advancement.
Developers are most concerned about the heightened tempo that AI could impose, fearing that the push for speed might compromise artistic integrity and the meticulous craftsmanship that defines great games. At the same time, there is a growing awareness that AI can be a powerful ally, reshaping workflows, opening new creative possibilities, and potentially redefining job descriptions rather than eliminating them outright. As studios continue to experiment with AI‑driven tools—ranging from procedural content generation to automated QA testing—the industry will need to develop clear guidelines, robust evaluation methods, and ethical frameworks to ensure that the technology enhances rather than undermines the human talent that lies at the heart of game development.