AI & Design Blog
Loading…
AI & Design Blog
Page 2 of 7
Stop Shipping AI Nobody Asked For
The tech industry keeps shipping AI features nobody asked for. The real design challenge isn't building with AI — it's knowing when not to.
AI Won't Tell You You're Building the Wrong Thing
AI tools let you build a prototype in a weekend. But speed without validation is just the fastest route to the wrong product. The real design skill now isn't building — it's knowing what's worth building.
Your Users Don't Want More AI. Now What?
The design community is converging on an uncomfortable truth: most people don't want more AI features. They want the right ones, in the right places, delivered in ways they'll never notice.
Your AI Is Guessing. Your UI Should Admit It.
AI deals in probabilities, but most interfaces present its outputs as certainties. It's time designers learned to communicate confidence — not just content.
Your Design System Has a New User — And It's Not Human
AI tools are only as good as the design systems they read. If your tokens are messy and your docs are vague, no model can save you — it's time to design for your system's newest, least forgiving user.
Your AI Isn't Sure — And That's the Point
AI tools deliver confident-sounding recommendations, but confidence isn't certainty. Probabilistic design — and tools like CSS's contrast-color() — show us how to build systems that embrace uncertainty instead of hiding it.
AI Influencers Don't Have Ethics. Do Their Designers?
Brands are using AI-generated influencers designed to pass as real people — and someone had to design them. If AI is creating more of the visual layer between brands and audiences, designers need to decide where they stand on honesty.
Your AI Tools Aren't Broken. Your Expectations Are.
AI tools don't give you definitive answers — they give weighted possibilities. The designers who grasp that distinction will outperform everyone chasing pixel-perfect AI outputs.
Nike's AI World Cup Kits Prove Algorithms Can't Design for Taste
Nike's AI-designed World Cup kits optimised for everything except looking good. It's a warning for every designer leaning on algorithmic output without trusting their own eye.
AI Doesn't Need Better Models. It Needs Better Design Systems.
AI prototyping tools are only as good as the design systems they pull from. The unsexy truth: better documentation beats better models every time.