Dragon Age co-creator calls generative AI a ‘virulent plague’ for game development

David Gaider, the former lead narrative designer behind the Dragon Age franchise at BioWare and co-founder of Summerfall Studios, has issued a stark warning about the role of generative AI in modern game development. In an interview with GamesRadar+, Gaider described the technology as a “virulent plague,” arguing that its widespread adoption undermines the learning process for new developers and introduces significant legal and ethical risks.

The loss of entry-level training

Gaider’s primary concern is not just about the output quality, but about how AI impacts skill acquisition. He notes that in his years as a narrative designer, he never found it faster or better to edit an inferior product than to discard it and start over. While AI might handle repetitive tasks, Gaider warns that eliminating these “drudgery” tasks removes crucial opportunities for junior staff to develop their craft.

He asks a pointed question regarding the industry’s future: “How are we going to train up the next generation of devs if we eliminate every entry-level task?” Without performing foundational work, new hires may never grasp the underlying principles of design or coding, leaving them unprepared for complex problem-solving later in their careers.

Legal and ethical red flags

Beyond skill development, Gaider highlights the precarious legal landscape surrounding AI training data. He points out that many generative models are trained on datasets “regardless of whether creators or owners have agreed to have their data pillaged.” This lack of consent opens the door for future lawsuits and ethical controversies, even if companies choose to ignore the moral implications of using unlicensed creative work.

The illusion of productivity in coding and art

Gaider extends his critique to programming and concept art. He questions the value of “vibe coding,” where developers rely on AI to write code they do not fully understand. This approach can lead to systems that are difficult to debug or maintain because no one on the team truly knows how they work. Similarly, he argues that AI-generated concepts often lack soul and contain errors that human artists cannot easily replicate, resulting in prototypes that teach nothing about the final product.

“What’s the point of creating prototypes with AI when the result is that nobody on the team has actually learned anything about how to make the final product?” Gaider asks. His stance suggests that while AI may offer short-term efficiency, it risks long-term competency and innovation within development studios.

Source: GamesRadar+

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Over to you: Do you think AI tools will eventually replace the need for junior developers to learn foundational skills, or is there still a place for traditional training?