In a recent study focusing on the European games development sector, a clear majority—61 percent—expressed apprehension that the rise of generative artificial intelligence will intensify pressure to deliver projects more quickly and at a higher volume. While the notion of AI outright replacing developers or diminishing demand for their positions was less prevalent, with only about 35 percent of respondents seeing a direct threat to job security, the sentiment that AI will reshape the tempo and expectations of daily work was markedly stronger. These insights stem from the research paper titled “Talent Signals Reshaping the Games Industry,” authored by Tanja Loktionova, who is both the founder of Values Value and a co‑founder of InGame Job. The analysis draws its data from the tenth edition of the Big Games Industry Employment Survey, a comprehensive questionnaire that captures trends, concerns, and expectations across the continent’s gaming workforce.
A brief version of the findings is currently accessible via a preliminary report, while the complete, detailed document is slated for release in November 2026. One of the most striking observations from the survey is that just over half of the participants—more precisely, 52 percent—are uneasy about the possibility that generative AI could erode the overall quality of their work. This worry is closely linked to the perception that AI tools, while powerful, may encourage shortcuts or produce output that lacks the nuanced creativity traditionally associated with human designers and programmers.
Complementing this concern, 46 percent of developers indicated that AI makes it more difficult to gauge authentic skill levels within teams. In practice, this means that managers and peers may find it harder to distinguish between work produced by a person’s own expertise and that generated or heavily assisted by an algorithm, complicating performance reviews, hiring decisions, and professional development pathways. Despite these qualms, ethical reservations about AI were not as dominant as one might anticipate. Only 29 percent of respondents voiced ethical concerns, such as the potential for bias in AI‑generated content or the broader societal implications of automating creative tasks.
Meanwhile, a modest 12 percent reported having no concerns at all, suggesting a small but notable segment of the industry feels comfortable with the current trajectory of AI integration. The survey also highlighted how pervasive AI’s influence has become on everyday workflows. A substantial 78 percent of developers noted that AI has altered the way they conduct their jobs. Within this group, 33 percent described the change as significant—indicating a fundamental shift in processes, tools, or collaboration patterns—while another 45 percent reported a more moderate, yet still noticeable, transformation.
Conversely, 22 percent of participants said their work routine has remained largely untouched by AI, underscoring that adoption rates and impact levels can vary widely depending on company size, project type, and individual roles. From a hiring perspective, the data revealed a cautious stance among company leadership. Approximately 35 percent of founders disclosed that they have opted not to recruit a candidate because they believe AI tools could accomplish the same tasks more efficiently or cost‑effectively. This decision reflects a growing confidence in AI’s capability to handle certain functions traditionally performed by human staff, such as asset generation, level design assistance, or even preliminary code scaffolding.
Financial pressures also intersect with AI adoption trends. Nearly half—48 percent—of founders reported that their companies are operating at a loss at the moment, a situation that may drive them to seek cost‑saving technologies like AI.
Moreover, 60 percent of founders indicated a deliberate strategy of maintaining lean teams, either to preserve cash flow or to stay agile in a rapidly evolving market. In such environments, AI can be seen as a lever to boost productivity without expanding headcount, further reinforcing the pressure on existing staff to work faster and produce more. These findings align with broader industry observations.
For instance, the annual speaker survey conducted by Gamescom Dev last month showed that an overwhelming 83 percent of respondents anticipate generative AI will influence team structures or overall productivity. When participants were asked to envision the specific impact on employment, 36 percent believed AI would primarily reshape roles—altering responsibilities and skill requirements—rather than lead to outright reductions in team size. In contrast, 33 percent expected that teams would become smaller as AI takes over certain tasks, while 14 percent were optimistic that AI would amplify individual output, enabling each employee to accomplish more within the same timeframe. A smaller segment, 17 percent, did not foresee any workforce reductions as a result of AI integration.
Taken together, the data paints a nuanced picture of the European gaming landscape: developers are not uniformly fearful of losing their jobs to machines, but they are keenly aware that AI is reshaping expectations around speed, efficiency, and the very nature of creative work. Companies are balancing financial constraints, the lure of productivity gains, and ethical considerations as they decide how deeply to embed AI into their pipelines.
As the full report becomes available later this year, it will likely provide further granularity on how different sub‑sectors—such as indie studios versus large publishers—navigate these challenges, and what strategies might emerge to ensure that AI serves as a collaborative partner rather than a source of undue pressure for the talented workforce that drives the games industry forward.