The GamesIndustry.biz HR Summit, held on October 1, brought together a wide range of industry professionals to talk about the growing influence of generative artificial intelligence on the workplace. While some presenters highlighted the ways AI can accelerate certain parts of game development—such as automating repetitive coding tasks or handling mundane chores—the overall sentiment was that the technology is far from the miracle solution championed by its most enthusiastic supporters. In fact, many attendees argued that AI is creating fresh challenges for studios, ranging from data‑privacy worries to heightened employee stress and an unexpected surge in HR workload. One senior executive made it clear that their studio is extremely cautious about allowing any AI‑generated assets to appear in a shipped product.
The HR Summit was conducted under Chatham House Rules, so the details remain confidential, but the speaker explained that the company still sees value in AI for internal processes. "It’s a delicate balance," they said, noting that AI could be useful for routine, low‑creativity tasks that developers would rather avoid. Yet the same leader warned that staff are increasingly uneasy about the technology.
Late‑night emails asking, "Are we using AI? Does that mean I’ll lose my job?" have become common, and management teams are equally concerned about how quickly the field is evolving and what that means for long‑term planning. A poll taken at last year’s summit showed that only a small fraction of respondents had formal AI policies in place. This year, a similar informal survey indicated that most companies now have some sort of guideline, but the rapid pace of change is already making those policies feel outdated.
One participant explained, "I drafted a policy two weeks ago, then discovered a new prompt‑injection technique yesterday, so I have to rewrite sections already." The speed at which new risks emerge is forcing HR teams to constantly revise their rules. Data leakage remains a top concern. Even when studios purchase enterprise‑grade AI models that promise not to use proprietary data for training, they have limited control over how individual employees might use consumer‑grade tools like ChatGPT on personal accounts. "Someone could copy confidential NDA material into a personal prompt and we have no technical way to stop that," a leader observed.
The consensus was that clear, enforceable guidelines about acceptable usage are the most practical defense. Confusion about the purpose of AI is also widespread.
"The biggest issue right now is that AI is presented as the answer, but people don’t know what the question is," said a speaker who described several studios eager to "use more AI" without a concrete use case. The hype surrounding AI has led many to expect a panacea that simply isn’t there. As one senior attendee bluntly put it, "I haven’t seen AI create anything fun yet. It can replicate, sure, but it hasn’t produced anything genuinely enjoyable." Despite the mixed feelings, the summit made one point unmistakably clear: AI cannot be ignored.
Even if a studio decides not to employ generative tools, that decision must be codified in employee policies and actively enforced. Understanding the current capabilities of AI, aligning them with corporate values, and weighing the associated risks and opportunities is essential. AI is now touching creative disciplines that five years ago were considered untouched by machine learning.
The event also mapped out a four‑stage model of AI adoption. Most studios sit in the first stage—experimenting with a single enterprise license for a model like Claude to let programmers tinker with code generation. A growing number of larger studios occupy stage two, piloting AI in specific pipelines and measuring time savings against potential costs and liabilities. However, without strict governance, these experiments can backfire.
One anecdote described an artist using Gemini to generate shader code while a programmer was away. The resulting code violated the studio’s coding standards and was only discovered weeks later, forcing a costly build rollback. Another story involved a freelancer who used AI to produce artwork. While the piece looked impressive and the community reacted positively, the studio realized that the supposed time and cost savings were illusory once the hidden AI involvement was uncovered.
These examples illustrate how premature or uncontrolled AI use can create more work than it eliminates. Workflow pilots often expose deeper systemic flaws. "Most of them collapse because the processes rely on tacit knowledge held by individuals rather than documented procedures," a speaker explained.
Even when AI enables programmers to push more code faster, the qualitative impact on the team’s experience matters. Speed without clarity can lead to frustration: "I spent most of the day shouting at an AI prompt that wouldn’t do what I wanted," one developer recounted. From an HR perspective, there are a few genuine benefits.
AI can help staff draft clearer emails or provide instant answers to routine queries about maternity, sick leave, or other policies. However, the technology is also generating new burdens. Several attendees reported a rise in employees submitting AI‑written grievance letters that run dozens of pages, filled with inaccurate facts and odd legal citations.
One legal professional said they receive about ten such letters each week. HR teams are obligated to read and respond to these lengthy documents, even when they contain misinformation, which adds significant workload and can complicate dispute resolution.
Banning AI‑generated complaints outright isn’t a straightforward solution, as it could be seen as discriminatory against employees who need writing assistance. Some suggested pragmatic policy tweaks, such as imposing a maximum word count on grievance submissions or requiring specific dates and details that an AI would not know, thereby forcing a more human‑crafted response. Overall, the consensus was that generative AI is, paradoxically, increasing the amount of work for HR departments. "We’ve seen HR teams shrink in size, but the volume of work has stayed the same or even grown," one participant noted.
Moreover, reliance on AI for standard queries can erode the personal connection that HR professionals provide. A simple question about maternity policy might mask deeper concerns, such as a employee undergoing IVF who needs emotional support. An AI can deliver a factual answer, but it cannot read body language, sense tone, or offer empathy.
In the final analysis, while AI offers promising efficiencies for certain technical tasks, its integration into game studios is still in its infancy and fraught with unintended consequences. Companies must develop clear policies, continuously update them, and remain vigilant about the human side of work to ensure that the technology augments rather than undermines their teams.