Clint Hocking spent over twenty years at Ubisoft. He designed games about surveillance, control, and systems that take on a life of their own. So when he talks about AI, it’s not the abstract reasoning of a corporate executive — it’s the perspective of someone who spent an entire career thinking about what happens when technology starts operating on its own terms.
In an interview with, Hocking was blunt: the debate over whether to use generative AI in games is already over. Not because corporations decided so — but because the technology evolves regardless of anyone’s preferences. The real question now is how to navigate this transition without leaving people behind.
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Why a Game Designer Compares AI to the End of the Farming Era
Hocking reached for an unexpected historical parallel. He pointed out that for most of human history, the majority of people worked in agriculture — and it seemed like that was simply how things would always be. Then mechanization arrived and changed everything: not overnight, but irreversibly. Today farmers make up a tiny fraction of the workforce, and everyone else found new roles in professions that didn’t even exist back then.
That, in his view, is what awaits the games industry. AI won’t destroy jobs — it will transform them. Artists, designers, and narrative writers aren’t going anywhere, but their roles will shift. The industry’s main responsibility is to help people adapt, not cling to the status quo.
It sounds optimistic. But this position has its blind spots — more on that below.
How Ubisoft Is Already Using AI in Game Development
Hocking confirmed that Ubisoft is actively building its own internal AI-powered tools. The goal is to boost team efficiency, speed up repetitive processes, and free developers from time-consuming tasks that offer little creative return.
Here’s how AI is typically being applied in modern game development:
| Area | AI Application | Does It Replace People? |
|---|---|---|
| Asset generation | Textures, background objects, prototypes | Speeds things up, doesn’t replace |
| NPC dialogue | Procedural lines, response variety | Supplements writers |
| QA testing | Automated bug detection | Reduces manual workload |
| Animation | Auto-rigging, basic motion | Assists animators |
| Voice acting | Synthesized voices for prototypes | Contested territory |
Hocking was clear: this isn’t about firing artists and replacing them with algorithms. AI is a tool — just like Photoshop once was, or procedural generation. A professional with the right tool will always outperform one without it.
Critics of this view, however, point to the obvious: companies can initially claim AI is there to “assist” their teams, then quietly downsize later under the banner of “optimization.” And there are already examples of exactly that happening.
Watch Dogs: Legion and the AI Character Dream That Couldn’t Happen — Yet
Hocking also looked back at Watch Dogs: Legion, released in 2020, where players could recruit and control virtually any civilian on the streets of a virtual London. It was an ambitious concept: hundreds of characters with distinct jobs, voices, and backstories.
But the team hit a wall. They discussed ways to automatically generate unique dialogue and personal histories for each NPC — and realized the technology simply wasn’t there yet. They had to work around it with hand-written templates and a limited pool of voice lines.
Hocking believes that if the game had been built a few years later, with access to modern large language models, Legion could have been an entirely different experience. Every character could have had genuine individuality: their own voice, their own story, their own reactions to the world around them. Not a procedural bag of phrases — something that actually felt alive.
This isn’t nostalgia. It’s a concrete illustration of how AI could reshape the player experience — not by replacing developers, but by finally making possible what was previously out of reach.
The Key Controversy: Who Actually Decides How AI Gets Deployed?
Hocking’s stance — “AI is inevitable, so let’s make it safe and beneficial” — sounds reasonable. But there’s a blind spot baked into it.
The issue isn’t just how AI gets implemented — it’s who makes those calls. The average artist or narrative designer is rarely in the room when leadership decides how many roles to hand over to an algorithm. Over the past two years, the games industry has endured wave after wave of mass layoffs, some of them directly or indirectly tied to a pivot toward automation.
Hocking does acknowledge this. He pushes back against the narrative that companies are already replacing workers en masse with AI while maintaining the same output. But the trend is hard to deny, even for the most historically optimistic observer.
What This Means for Players and the Future of Games
For people who simply love games, Hocking’s outlook is mostly good news. If AI enables developers to produce more content, build more believable NPCs, and patch bugs faster — players stand to benefit directly.
Key things worth watching:
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More believable open worlds. Procedurally generated dialogue and NPC behavior could finally feel genuine — truly varied rather than templated.
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Fuller games at launch. Faster asset production means studios could ship more complete experiences from day one.
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Bolder creative risks. Teams may finally attempt ideas that were once too labor-intensive — like the Legion vision Hocking described.
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Unresolved ethical questions. Voices, likenesses, artistic styles — all potentially generated without the involvement of the humans who inspired them. Where does that line get drawn?
The industry is facing a decision it can no longer defer. The fact that a former Ubisoft creative director is speaking about it openly is itself a signal: this conversation has left the boardroom. It’s happening in public now — and that’s exactly where it belongs.
