Hello Indiana, Every year around this time, I start seeing the prediction pieces roll in. "The year of X!" they declare. "Y will change everything!" And every year, I find myself wincing a little, because most of these predictions age about as well as milk left on a radiator.
So rather than trying to predict the future (I learned my lesson after confidently declaring QR codes were dead in 2019), I want to talk about what I'm seeing among the UX professionals I work with, and what I think it means for 2026.
The uncomfortable reality
Let me start with the bit nobody wants to hear. UX is on the corporate chopping block again. If you've been in this industry long enough, you'll recognize the pattern. We saw it after the dot-com bust. We saw hints of it during various economic downturns. And we're seeing it now.
Some folks think rebranding will save us. We tried that before, remember? We went from "usability" to "UX" and it bought us some time. But slapping a new label on the tin doesn't change what's inside.
The interesting thing is that the World Economic Forum still lists UX as a growth area. So what's going on? I think we're seeing a split forming between two very different types of UX work: the shallow, template-driven kind that AI can increasingly handle, and the messy, human-centered kind that requires judgment, taste, and the ability to navigate complex organizational dynamics.
The shallow end is draining
Templates and processes won't cut it anymore. If your approach to UX is downloading frameworks and following checklists without much critical thinking, 2026 is going to feel uncomfortable. Because AI can do that now. And it does it faster.
The UX professionals who thrive will be the ones with uniquely human skills. Critical thinking. Taste (yes, that subjective, hard-to-define thing your design school professor tried to explain). The ability to navigate messy organizational dynamics without making enemies. These soft skills are becoming more valuable than knowing your way around Figma.
I've watched people who can facilitate a difficult stakeholder workshop bring more value to a project than someone with impeccable wireframing skills. Because the wireframes don't matter if nobody in the organization trusts them.
AI is growing up (finally)
The frantic "add AI for AI's sake" phase is mercifully winding down. I've lost count of how many product features I saw last year that felt like someone had desperately searched for a place to stick a chatbot, found nowhere sensible, and stuck it there anyway.
Now we're moving into what I'd call the implementation phase. Organizations are finally asking "What problem does this actually solve?" rather than "How can we say we have AI?" This is genuinely good news for UX people. Because that question, that focus on real user needs, is exactly where we add value.
This is our chance to demonstrate what we bring to the table. Not by fighting AI, but by being the people who understand how to apply it thoughtfully.
What you might consider doing about all this
I've been thinking about what separates the UX people who feel energized right now from the ones who feel anxious. A few patterns keep emerging.
Get comfortable with mess
UX work has always been messy, but I think some of us (myself included, at times) got a bit too attached to neat processes. Context matters more than frameworks. A template is a starting point, not a destination. If you find yourself downloading more frameworks than talking to actual users, it might be worth recalibrating.
I've come to think of UX methods as a toolkit rather than a linear process. Instead of pushing every project through the same sequence of steps, you assess what the situation actually needs and reach for the right tool. Sometimes that's a full discovery phase. Sometimes it's a quick guerrilla test. The skill is knowing which to use when, not memorizing a fixed sequence.
The people who seem to thrive actually enjoy that messiness. They see ambiguity as interesting rather than threatening.
Wear more hats
The boundaries between UX and other disciplines are blurring fast. I've been encouraging people to pick up knowledge in adjacent areas: systems thinking, data modeling, business strategy, even marketing. Not to become experts in everything (impossible), but to speak enough of the language to collaborate effectively.
AI actually makes this more achievable than ever. You don't need to be an experienced developer to build a quick demo anymore. If you have a basic understanding of how development works, AI can help you create functional prototypes that would have required a developer's time before. The same applies to data analysis, content strategy, even basic marketing automation. A little knowledge, combined with the right AI tools, goes a surprisingly long way.
Take control of your AI story
I wrote about this recently on Smashing Magazine, but it bears repeating. Take control of how AI shapes your job. Don't wait for someone else to do it for you, because they will, and you probably won't like their version.
Challenge the way you approach every task by asking how AI might change it. I'm particularly excited about how AI can reshape the way we communicate user research. There are fascinating possibilities around virtual personas that give users a voice in meetings they'll never attend. And the opportunities for rapid iteration are genuinely exciting. Faster development means more freedom to take creative risks.
One thing that genuinely excites me: conversational experiences are becoming a legitimate UX specialism. Not chatbots-as-FAQ (please, no more of those), but thoughtful conversational interfaces that genuinely improve how people interact with systems. It's a new field, which means the rules aren't written yet. That's either terrifying or thrilling, depending on your disposition.
Why I'm optimistic (despite everything)
I realize I've painted a somewhat challenging picture. But I'm genuinely optimistic about 2026. Change has always been where the interesting work happens. The UX people who adapt, who stay curious, who focus on outcomes over outputs, are going to have fascinating careers.
The fact that AI is opening up new possibilities for experimentation and iteration makes this a genuinely exciting time. We can work collaboratively with AI to evolve design concepts in ways that would have taken weeks just a few years ago.
Is it comfortable? Not always. But comfortable and interesting rarely overlap.
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