Here's a question nobody in the Unity community can agree on right now: if you give every game developer an AI assistant, do you get more great games — or just more games?

Unity has rolled out an open beta of its AI tools, and the reaction has been… polarised, to put it mildly.

What Happened

Unity's new AI toolset is now available in open beta, meaning any developer on the platform can start using AI-assisted features for things like asset generation and coding. It's a significant move — Unity is one of the most widely used game engines in the world, powering everything from indie darlings to commercial hits.

The tools promise to speed up common workflows. Need a texture? A basic 3D asset? Some boilerplate code? AI can help get you there faster. On paper, that's a straightforward productivity win.

But the response from the community tells a more complicated story. Critics are worried about a flood of low-effort, AI-generated games hitting marketplaces — what's increasingly being called "AI slop." The concern isn't hypothetical. We've already seen what happens when AI-generated content hits platforms without quality filters. Amazon's Kindle store. Stock image libraries. The pattern is familiar.

The Bigger Picture

This isn't really a story about Unity. It's a story about what happens when AI stops being a personal productivity tool and becomes a platform feature.

There's a meaningful difference between a designer choosing to use AI in their own workflow and a platform baking AI into everyone's workflow by default. The first is a personal creative decision. The second shapes an entire ecosystem.

When AI tools live inside the platform, they don't just change how individuals work — they change the baseline. The average quality of output shifts. The volume of output shifts. And the marketplace that sits downstream of all that output has to absorb the consequences.

For designers, this matters beyond game development. Think about Figma, Canva, Webflow — every major design platform is either integrating AI features or planning to. The same dynamic will play out everywhere. More output, faster. But more of what, exactly?

I think the real risk isn't that AI tools produce bad work. It's that they produce adequate work at scale. Work that's technically fine but creatively empty. The kind of work that fills a marketplace and makes it harder for genuinely thoughtful design to stand out.

This is the slop problem in a nutshell. It's not about AI making terrible things. It's about AI making mediocre things so effortlessly that mediocrity becomes the norm.

What This Means for Craft

Here's where it gets interesting — and where I think designers should pay close attention.

The designers and developers who'll thrive in an AI-saturated marketplace won't be the ones who use AI the most. They'll be the ones who use it the most deliberately. There's a difference between using AI to skip the thinking and using AI to accelerate past the tedious bits so you can spend more time on the thinking.

In game design, that might mean using AI to rough out placeholder assets quickly but investing real human skill into the final art direction, the level design, the feel of the thing. In UX, it might mean letting AI generate layout variations but applying your own judgement about what actually serves the user.

The craft isn't in the production anymore. The craft is in the curation, the intention, the taste.

Tool Spotlight: Unity Muse

Unity's AI tools sit under the umbrella of Unity Muse, which includes text-to-code generation, texture creation, and a conversational assistant for navigating Unity's (notoriously complex) documentation and workflows. If you're a designer who works in or alongside game development, it's worth trying the open beta — not because the outputs are flawless, but because understanding how these tools work will help you make better decisions about when to use them and when to push back.

Muse is most useful right now for prototyping and early-stage exploration. It's less convincing for anything that needs a distinctive creative voice. That gap is telling.

The Takeaway

Every major creative platform is going to integrate AI tools. That's not a prediction — it's already happening. The question for designers isn't whether to use them. It's whether you'll let the defaults do the thinking for you.

So here's your practical move: the next time an AI feature appears in your favourite design tool, don't just try it. Study what it defaults to. Look at the assumptions baked into its output. That's where you'll find the gap between generic and genuinely good — and that gap is exactly where your value as a designer lives.

The tools will keep getting faster. Your job is to make sure faster doesn't just mean more.