Does UX still matter — or is AI making us obsolete?

AI generates layouts in seconds. Writes microcopy on demand. Analyzes user data faster than any research team.

So why do we still need UX designers?

Here's what AI already does better than you:
→ Generate 5 layout variants in 30 seconds
→ Write 10 error message alternatives on command
→ Summarize 15 interview transcripts in minutes
→ Spot patterns across thousands of data points

Impressive. But here's what AI can't do:
Empathy isn't computable. AI does sentiment analysis. It can't sense why a 63-year-old goes silent during a usability test — not from confusion, but from shame.

Context has no data model. AI doesn't know your CEO said "mobile-first" because he got a new iPhone. It doesn't know your engineering team is burned out and every design change is political.

Ethics require conviction. AI optimizes for whatever goal you set. If that goal is "more clicks," it will suggest dark patterns without blinking. A designer asks: Should we?

Saying no is a skill. AI always delivers an answer. Even when the right answer is: We're solving the wrong problem.

The designers who thrive aren't the ones pushing pixels. They're the ones asking questions before designing answers.

AI makes you faster. It doesn't make you smarter, more empathetic, or braver. That's still on you.

I've packed everything I've learned in 24 years of design into one interactive platform — methods, tools, Nielsen's 10 heuristics, a glossary, and a section on how to actually use AI in your UX workflow.
→ https://lnkd.in/gHT-zJ44
#UX #AI #ProductDesign #UserExperience #DesignLeadership

I've been sharing a lot about AI-powered product design workflows — what I try, what I actually use in my own work, and what sticks.

Every time I post, someone asks for tutorials or a deeper walkthrough. So I finally put it all in one place.

The guide covers everything I've tested so far - design workflow across 7 modules:
→ UX Research & Synthesis → UX Strategy & Methodology → Visual & UI Design → Content & Copy → Handoff & Documentation → Design Systems (coming soon) → Claude Skills

If you've been curious about how to bring AI into your design practice in a way that's actually useful, this is for you.

Link in the comments 👇

For a long time, I thought AI was something separate from my design work. Something advanced, technical or something “future me” would eventually learn. But the more I paid attention, the more I realized something surprising:

I was already using AI — almost every day.

Not in an obvious, “I’m designing AI systems” kind of way. But in small, subtle ways that had quietly become part of my workflow. And I think a lot of designers are in the same position.

My AI workflow I use to 10x my design work:

1. Inktrail.ai - For brainstorming, understanding PRDs, conducting market and competitor research and creating user flows

2. variant.com - To curate a moodboard of design directions and UI flows

3. figma.com/make - The HTML and CSS code that aligns to my need from the moodboard and curate a complete prototyping

4. figma.com - For creating the design artifacts, aligning with brand standards and design system

Inktrail.ai - To write the UX copies for the designs

Worthy of mention; windsurf.com - Creats a design.md file and implement the UI on frontend level.

This workflow cuts my design time from days to hours and still maintain the same level of quality.

Designers should perform human oversight and not manual work.

What’s your own process?

Repost to help a designer from your network.

When I use AI in my design work, I’m not outsourcing my thinking. I’m speeding up the parts of the process where speed is actually valuable, generating options, exploring directions, getting a quick read on structure, so I can spend more time on the parts where my judgment matters. That’s a meaningful difference.

I use Claude for research. I’ve trained it over time to understand the tone and voice of the products I work on. When I save a screenshot of something that inspired me, I send it over and it helps me remember why I saved it, what the design is actually doing, and how it connects to whatever I’m building now. That’s not impressive. It’s just useful.

I’ve also given it instructions for UX writing — the tone, the constraints, who the users are. When it gives me copy suggestions, I don’t paste them straight in. I read them against the product’s voice and ask whether they’re actually clear for the user. Sometimes I run tests to find out.

These tools are powerful, but each one only works well when you know exactly what job to give it.

I’ve been using AI tools as a core part of my design workflow. Here’s what actually works and what doesn’t.

ChatGPT: My content partner. Great for UI copy, microcopy variations, and translating engineer-speak into user-speak.

Figma Make: Good at generating initial wireframes and scaffolding a starting flow. The frustrations: credit limits are brutal and burn fast when iterating (which is… the entire point of design). It struggles with large context, you need to feed it bite-sized chunks. No plan mode like VS Code, so you can’t orchestrate a multi-screen flow strategically. For these reasons, it’s much easier to go from Figma Make to VS Code than the other direction.

Figma: Still the source of truth. After Make generates a starting point, I always move into Figma to manually refine. AI-generated layouts need a human hand- spacing, hierarchy, consistency.

VS Code + Claude: Where designs come to life. Like Figma Make, works best with focused prompts, not massive context dumps. But the speed is transformative. Things that used to require a developer friend and a weekend now take an afternoon.

Google Stitch: Strong at generating polished visual UI and great for design system exploration. But the content and UX structure is consistently weak- page hierarchy, flow logic, information architecture all need significant rework. Better for visual inspiration than building experiences.

There’s a lot of noise around AI in design. Some say it will replace designers. Others dismiss it entirely. After three months of deliberately integrating AI tools into my daily workflow, my view is more nuanced—and more interesting than either extreme.
AI did not make me less of a designer. But it permanently changed how I design.

AI tools won't replace UX Designers.

But designers who ignore AI will be replaced by those who don't.

Here's how I'm using AI in my UX process right now (without losing the human touch):

🔍 Research synthesis Dump interview notes into AI → get themes in minutes, not hours. I still validate every insight but I save hours of grunt work.

✍️ First-draft microcopy AI gives me 10 variations of a button label or error message. I pick, refine, and make it actually sound human.

🗺️ User journey mapping I use AI to spot gaps in a journey I've been staring at too long. Fresh (artificial) eyes catch what tired human ones miss.

🧪 Usability test prep AI helps me draft screener questions and discussion guides 3x faster. More time for actual conversations with users.

The goal isn't to hand over your design thinking. It's to free up more time for your design thinking.

What's one AI tool that's genuinely changed how you work as a designer? 👇

#uxdesign #aiindesign #ai #userexperience #productdesign #designtools

I spent four hours prompting AI to build a homepage. Then I opened Figma and finished it in two. Here is what that night taught me about what design actually is.

Let’s talk AI tools… What’s working and where it still falls short

I use it to move faster on the parts that used to eat time without adding much creative value.

Mockups • Instead of spending an hour hunting for the right shot, I generate one. Specific context, right proportions, on-brand. Done in minutes.

Illustrations and icons • When budget doesn’t stretch to a custom illustrator, AI gives me a starting point I can direct.

Photoshop AI editing • Generative fill, extending a shot that’s almost right — quietly one of the most useful tools in my daily edit.

Copy placeholder • When good copy isn’t ready, AI holds the layout together without me staring at Lorem Ipsum.

Now the honest part.

Visuals fall apart when prompts get complex — the more elements you add, the more it starts dropping details or adding things you never asked for.

It writes in a way that isn’t you. Perfect grammar, clean structure, sounds like nobody in particular.

And it won’t tell you when something isn’t working. No second opinion unless you ask. As a solo designer, that gap is real.

It works best when you bring the direction, the taste and the critical eye.

#AITools #CreativeProcess #DigitalDesign