As AI drafts more, design critique skills get scarcer
Published 9 September 2026 · Source dated 2 September 2026
As AI produces more first-draft designs, research-backed critique skills are becoming the scarcer differentiator, not prompting speed. This isn't a new method - it's an established one that just matters more now.
Usability research voices keep repeating the same point as AI generates more first drafts: knowing whether a design actually solves the user's problem is still the scarce skill - not how fast you can generate options.
- Heuristic evaluation, task analysis and usability testing haven't changed; there's just more AI output landing on your desk to judge.
- Being able to explain why a design works (or doesn't) will set you apart more than prompting speed will.
- This isn't a new method, it's an old one that's suddenly more valuable.
Coach
next time you get an AI-generated design (from an agent, Make, or elsewhere), spend 10 minutes running a heuristic evaluation on it before you ship it.
Jakob Nielsen's ten usability heuristics have been the backbone of UX critique since 1994. They're worth relearning properly, not just skimming the list.
AI tools can generate screens fast, but they don't validate usability — that's still on you. Classic heuristic evaluation is more relevant, not less, now that production speed has gone up.
More first drafts are arriving via AI agents, but the fundamentals of a good design critique haven't moved. IxDF's literature on critique still holds regardless of who — or what — made the first version.