AI is expanding UX beyond human users to agents acting on their behalf. Experience design names this broader field, which still centers on people’s goals.
AI-native software development lifecycles reduce UX to AI context. UX must discover user needs, shape what’s built, and evaluate it before and after launch.
AI saves UX practitioners time on nearly every task, yet most feel lukewarm about it: mandates, unreliable output, and inflated expectations eat the gains.
Unsure where to start? Use this collection of links to our articles and videos to learn about how artificial intelligence works, and how users think about it.
Unsure where to start? Use this collection of links to our articles and videos to learn about the best ways to use artificial intelligence for UX work.
Plain-language definitions of the AI terms that come up in product and design work, from tokens and context windows to agents, evals, and prompt injection.