AI in design is no longer a novelty; it is a workflow question. This hub covers how product and service teams use AI for research synthesis, layout suggestions, content generation, and critique — with the scepticism a good design lead would apply. Coach labels each development hype, adoption, or established, and never treats the model as the decision-maker. If you are building AI literacy on your team, start here for sourced summaries and one practical move per briefing.
Adoption
AI design tools: better, but still narrow — NN/g
NN/g's May 2025 review found AI design tools have genuinely improved but still can't match human output outside narrow, single-task use. The tools designers actually keep using are the boring, specific ones — like Figma's AI layer-renaming.
nngroup.com ·
Adoption
Enterprise 'AI workflow' hype isn't your workflow
Autodesk and NVIDIA are pushing AI hard into manufacturing and engineering design workflows. It's real momentum, but it's a different world from Figma/Penpot product design work — don't let the noise make you feel behind.
adsknews.autodesk.com ·
Established
Generative design: old news, still worth knowing
Generative AI has been shaping product design workflows in manufacturing for years, letting engineers explore thousands of variants automatically. It's a mature pattern worth understanding even if you work in UI/UX, not industrial design.
developer.nvidia.com ·
Adoption
Stop using AI as a magic wand — use it like a junior
A framework from a former Miro lead designer treats AI like a junior teammate across the design process — not a magic wand. It's a practical way to use AI deliberately instead of randomly.