Teams fall in love with shiny demos, skip the boring strategy work, then wonder why nobody trusts them later. The real problem isn't the technology, it's jumping to tools before defining governance.

Companies are spending millions on AI that doesn't work because they're solving the wrong problems. Here's how to avoid the common disasters and build systems people actually use.

I'm cutting through the AI hype to deliver seven principles for UX leaders who want actual business results, not just talk about how they are "experimenting" with AI to keep the executives off their backs.

The machines are reading our minds now, or at least pretending to, and the whole digital interface landscape has turned into a kaleidoscope of predictive notifications and proactive hand-holding that would make any psychic reach for their tarot cards to revise their predictions.

The tech world loves a good up-and-coming tale, and right now, AI is its golden child. Every keynote, every blog post, every puff piece hypes it like it’s the second coming. The thing that’s finally going to “unlock access for everyone.”

Agentic AI has entered the workplace like a new hire nobody interviewed. Already logged in, already productive, and somehow working through the night. UX teams aren’t just experimenting with it; they’re being asked to co-pilot the machine, building products alongside a system that never sleeps.