This content originally appeared on NN/g latest articles and announcements and was authored by Megan Brown, Caleb Sponheim, Taylor Dykes
Summary: Despite improvements in narrow-scope AI design tools, most design-specific AI cannot replicate human designers’ output quality.
This is a follow-up to the 2024 article AI UX-Design Tools Are Not Ready for Primetime: Status Update .
In April 2024, AI-powered design tools were not useful to designers. As of May 2025, their usefulness has improved, but we’re still nowhere near the AI-powered design tools we’ve been promised, nor are design professionals yet in danger of being replaced by AI . (This is true even if Figma's new features announced at Config this week turn out to be as good as their demos — which is never guaranteed with AI tools.)
Narrow-Scope Features Are the Most Useful
The greatest improvements in design-specific AI tools is within narrow-scoped genAI. Unlike broad AIs (like ChatGPT), which accept a wide range of inputs and produce an equally wide array of outputs, narrow-scope AIs specialize in one or few specific tasks.
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This content originally appeared on NN/g latest articles and announcements and was authored by Megan Brown, Caleb Sponheim, Taylor Dykes
Megan Brown, Caleb Sponheim, Taylor Dykes | Sciencx (2025-05-09T17:00:00+00:00) AI Design Tools Are Marginally Better: Status Update. Retrieved from https://www.scien.cx/2025/05/09/ai-design-tools-are-marginally-better-status-update/
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