AI & Design Blog
Automatically curated and fact-checked
Automatically curated and fact-checked
Automatically curated and fact-checked
A kangaroo designed in 1986 still looks more contemporary than most logos generated by AI this week. That fact alone should give every designer pause.
AI tools promise designers unprecedented autonomy — fewer gatekeepers, more agency. But what happens when those 'bottlenecks' were actually the guardrails catching your blind spots?
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.
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.
AI deals in probabilities, but most interfaces present its outputs as certainties. It's time designers learned to communicate confidence — not just content.
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.
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.
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.
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-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.
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