A recent survey of European game developers has highlighted a growing unease about the influence of generative artificial intelligence on their daily workflow. While only about a third of respondents—35 percent—express concern that AI could actually eliminate their positions or shrink the demand for their expertise, a striking 61 percent fear that the technology will push them to work faster and churn out more content under tighter deadlines.
In other words, developers are more anxious about the pressure to increase productivity than about the prospect of being outright replaced. These insights come from a study titled “Talent Signals Reshaping the Games Industry,” authored by Tanja Loktionova, the founder of Values Value and co‑founder of InGame Job. The analysis is based on data gathered in the tenth edition of the Big Games Industry Employment Survey, a comprehensive questionnaire that captures trends, challenges, and expectations across the European gaming sector. A short, preliminary version of the report is already accessible online, and the full, detailed findings are slated for publication in November 2026.
One of the most prominent take‑aways from the survey is that more than half of the participants—just over 50 percent—are worried that the rise of generative AI could erode the overall quality of the work they produce. This concern is closely linked to the belief held by 46 percent of respondents that AI makes it increasingly difficult to gauge a developer’s true abilities.
When machines can generate art, code snippets, or narrative elements at a rapid pace, distinguishing between human‑crafted and AI‑assisted output becomes a nuanced challenge for managers, peers, and even the creators themselves. Interestingly, ethical reservations about AI appear to be less widespread than the productivity‑related worries. Only 29 percent of those surveyed indicated they have ethical concerns regarding the deployment of AI tools in game development, while a modest 12 percent reported having no concerns at all. This suggests that, for many developers, the practical implications—such as workflow disruption and skill assessment—are more immediate than broader moral debates about machine‑generated content.
The survey also shed light on how AI is already reshaping work practices. A substantial 78 percent of respondents said that AI has altered the way they perform their jobs. Within this group, 33 percent experienced a “significant” transformation, meaning that AI tools have become integral to their daily tasks, while 45 percent reported a “somewhat” noticeable change, indicating that AI is used more selectively or in a supplementary capacity.
Conversely, 22 percent of developers felt that AI has not impacted their work routine at all, either because they have not yet adopted such tools or because their specific roles do not lend themselves easily to automation. From a hiring perspective, the data reveals a cautious stance among company leaders.
About 35 percent of founders disclosed that they have chosen not to bring a candidate on board because they believe AI could accomplish the same tasks more efficiently. This finding underscores a growing perception that certain positions—particularly those involving repetitive asset creation, basic scripting, or routine testing—might become redundant as AI capabilities improve. Financial pressures also play a pivotal role in shaping attitudes toward AI. Nearly half of the founders surveyed—48 percent—reported that their studios are currently operating at a loss.
Coupled with this, 60 percent said they are deliberately maintaining small team sizes, a strategy that can help control costs but also amplifies the impact of any productivity‑driving technology. In such environments, AI is often viewed as a potential lever to boost output without expanding payroll, which may explain why many developers feel the pressure to accelerate their work. The broader industry sentiment aligns with these findings.
In a recent annual speaker survey conducted by Gamescom Dev, an overwhelming 83 percent of participants anticipated that generative AI would affect team structures or overall productivity in the near future. When asked specifically about the impact on employment, 36 percent believed AI would primarily alter job roles—shifting responsibilities and requiring new skill sets—rather than lead to outright staff reductions. Meanwhile, 33 percent expected that AI would result in smaller teams, and 14 percent thought that the technology would enable higher individual output, allowing each developer to accomplish more within the same timeframe. A smaller segment, 17 percent, did not foresee any significant workforce changes as a result of AI adoption.
Taken together, these statistics paint a nuanced picture of the European gaming landscape. Developers are not uniformly terrified of losing their jobs to machines; instead, they are grappling with the more immediate reality that AI may demand faster turnaround times and higher volumes of content.
This shift has ripple effects on how skills are evaluated, how studios allocate resources, and how the industry as a whole balances innovation with sustainability. As AI tools continue to mature, it is likely that both creators and executives will need to develop new frameworks for collaboration, assessment, and ethical use, ensuring that the technology enhances rather than undermines the creative process.
In summary, while the specter of job displacement looms in the background, the dominant concern among European game developers is the pressure to increase speed and output under the watchful eye of generative AI. The industry’s response—through adjusted hiring practices, strategic team sizing, and evolving evaluation methods—will determine whether AI becomes a catalyst for growth or a source of heightened stress for the creative talent that drives the medium forward.