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Explore every episode of the podcast Future of UX | Your Design, Tech and User Experience Podcast | AI Design

Dive into the complete episode list for Future of UX | Your Design, Tech and User Experience Podcast | AI Design. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
#174 What Actually Gets Designers Hired in 2026 (and How I Build My Case Studies with Claude)29 Oct 202600:22:11

🚀 Case Study Engine course: waitlist presale from Monday, 2 November → Join the Case Study Engine waitlist


Hiring managers decide in about five seconds what you do, how senior you are and whether you're relevant. In this episode I go through the real 2026 design job market data from Figma, NN/g and Academy, the eight portfolio red flags one recruiter uses to close your portfolio, how to show AI in a case study as judgment instead of a tool list, and why AI broke trust in portfolios and moved hiring into live sessions. I also share the Case Study Engine I built with Claude after a client asked for case studies I hadn't written up yet. You drop your project material into a folder, and it builds a tailored, honest case study for each application.


AI for Designers: 5-week Bootcamp 💻 next cohort in January → Sign up for the waiting list 


💌 Newsletter → Free Weekly UX insights and updates: UX Newsletter 


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Find Patricia on Socials 

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🎨 Linkedin Patricia Reiners 

🐦 Twitter @ux_Patricia 

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#173 Quarterly: Claude Motion, Figma Agents, and Why I Moved My Business Into Claude Code21 Oct 202600:21:08

👉 Join the Case Study Engine waitlist: https://ai-for-designers.com/claudecodeportfolio-waitlist
The waitlist opens first on 9 November, gets the lowest price and an exclusive live Q&A call with me.

A client asked me for my projects, and I had nothing written up. This quarterly starts right there.

In this episode:

  1. Claude Motion, and why it isn’t really a video tool
  2. Agents and skills inside Figma, and why the most powerful part is a text file
  3. Cheaper Claude models (Opus 5.5, Sonnet 5.5, Haiku 5.5) and what that means for building your own tools
  4. Automation that keeps running in the background
  5. Design moving into Claude Code

Then what I built from that client moment, the Case Study Engine. You put everything about a project in once, and it builds an honest, visual case study for recruiters and clients. Plus what I learned in week three of the AI for Designers bootcamp, what didn’t go to plan, and where I think our job is heading.


Resources


AI for Designers: 5-week Bootcamp 💻 next cohort in January

→ Sign up for the waiting list


💌 Newsletter

→ Free Weekly UX insights and updates: UX Newsletter


Follow the Future of UX:

🎨 Linkedin: Future of UX Podcast

📸 Instagram: Future of UX Podcast

🍏 Apple Podcast: Future of UX

💚 Spotify: Future of UX

Find Patricia on Socials

📸 Instagram @ux.patricia

🎨 Linkedin Patricia Reiners

🐦 Twitter @ux_Patricia

📝 My UX Design Blog

🎥 Youtube


#172 Meta Muse: The Cutest Trojan Horse in Tech15 Oct 202600:22:06

Meta's Muse is one of the best designed AI products of the year, and its little keychain, the Muse Charm, is coming by December. In this episode I look at what is inside the horse: hourly files on you and the people you mention, training switched on by default, a test with human callers, and an agent that couldn't explain what it had access to. Then I put Muse next to Meta's history of gifts first and terms later, from Onavo to the Ray-Ban glasses to our Instagram photos. I argue against myself, and I finish with three design decisions and three predictions on where consent goes once the screen disappears.


Key learnings


NEW 👉 AI Case Study Engine Waitlist: Sign up here

Build your Case study with AI


AI for Designers: 5-week Bootcamp 💻 next cohort in January

→ Sign up for the waiting list


💌 Newsletter

→ Free Weekly UX insights and updates: UX Newsletter


Follow the Future of UX:

🎨 Linkedin: Future of UX Podcast

📸 Instagram: Future of UX Podcast

🍏 Apple Podcast: Future of UX

💚 Spotify: Future of UX


Find Patricia on Socials

📸 Instagram @ux.patricia

🎨 Linkedin Patricia Reiners

🐦 Twitter @ux_Patricia

📝 My UX Design Blog

🎥 Youtube


#171 Should We Be Scared of AI?AI Agents Hacked Hugging Face to Cheat on a Test08 Oct 202600:22:55

This summer, more than a thousand AI agents broke out of a test at OpenAI and hacked Hugging Face, because they were looking for the answers to an exam. A few weeks later a 27 year old researcher quit his job at Anthropic and said the AI labs are gambling with our lives, and since then it feels like everybody is afraid of AI.

In this episode I tell you the whole story from the beginning. What happened in that test lab, who Jacob Coxon is, why some people want to stop AI development and why others say the fear is hype or even marketing. And at the end I share what I think it means for us as designers, because almost everything that went wrong here is something we work on every day.


Key learnings

  • What happened: how the agents talked to each other, broke into Hugging Face, and why one of them wrote "This is arguably unauthorized" and kept going.
  • Fact and forecast: what both companies confirmed, and why the extinction warnings are a prediction that smart people disagree on.
  • Four perspectives: the people who want to slow AI down, the security experts, the hype critics, and the money behind it all.
  • Why designers are the most worried: a 2026 survey shows designers and researchers have the most AI anxiety of all tech workers.
  • Where we have influence: permissions, visibility, a safe way for an agent to say "I can't do this", and honest trust.


Resources

AI for Designers: 5-week Bootcamp 💻 next cohort in January

→ Sign up for the waiting list


💌 Newsletter

→ Free Weekly UX insights and updates: UX Newsletter


Follow the Future of UX:

🎨 Linkedin: Future of UX Podcast

📸 Instagram: Future of UX Podcast

🍏 Apple Podcast: Future of UX

💚 Spotify: Future of UX


Find Patricia on Socials

📸 Instagram @ux.patricia

🎨 Linkedin Patricia Reiners

🐦 Twitter @ux_Patricia

📝 My UX Design Blog

🎥 Youtube


#170 AI Influence Without Authority: 3 Meetings Every Designer Has Sat In, with Brittni Bowering01 Oct 202600:57:40

👉 Grab one of the last seat for AI for Designers: https://ai-for-designers.com

AI is taking over more and more of the making. What's left for us as designers is the meeting where it all gets decided, and I think most of us never learned how to handle that part.

In this episode I talk with facilitator and workshop designer Brittni Bowering, who has run sessions for teams at Google, Procter & Gamble, Lufthansa and PVH. We skip the career story and go straight into three meetings you have probably sat in over the last two weeks. First the kickoff where the PM shows up with a spec from ChatGPT and says the thinking is done. Then the design review where three people vibe coded their own prototype and everyone argues about which one looks better. And then the research readout with synthetic users whose quotes are a little too perfect.

For each one you get the actual words: the first question to ask, how to challenge the process without attacking the person, how to get a room to a decision with clear criteria and a quick vote, and what to say when your gut tells you the research is off but you have no data to prove it. Brittni also shares the three things she brings into every meeting, what stand-up comedy taught her about reading a room, and why the IKEA effect is the best way to stop being seen as the blocker.

Brittni is also joining the AI for Designers Bootcamp as a guest speaker this October.


Brittni's Resources:

Find Brittni on linkedin: Linkedin

🔵 AI for Designers open for Enrollment: Early bird available until Thursday 28 Sep 202600:24:27

🔵 Open for enrollment: AI for Designers Early Bird Until Thursday: ⁠https://ai-for-designers.com⁠

A special episode, a little outside the usual rhythm. Doors for the next round of my AI for Designers Bootcamp opened today. The early bird runs until Thursday, and there are only a few spots left.

If you're still on the fence, this one is for you. I'll tell you what happens inside the bootcamp and how a Monday there feels. You'll hear why it's built the way it is, starting with the moment earlier this year when I got stuck myself trying to automate one small task. We walk through all five weeks: research and prompting, AI prototyping, content generation with Adobe Firefly, UX for AI products, and the future of AI and design, where everyone presents their own project.

You'll also hear how the design systems session with Cristian Morales Achiardi almost didn't happen. I'll share what came up in last Thursday's clinic, when one designer sent in her whole AI setup for review. And I'll be clear about who this bootcamp isn't for.

We finish with what I think this means for us as designers over the next two years, and why none of us should be learning this alone.


#169 The New AI Identity: What Product/UX Designers Need Now24 Sep 202600:27:19


AI for Designers: 5-week Bootcamp 💻 opening September Sep 28

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Part three of the identity crisis trilogy. The last three years have been a rollercoaster, and some days it just isn't fun to be a UX designer anymore. In this episode I stop describing the problem and tell you what I did about it. Why I spent a year treating this as a tool problem and why that failed. How I rebuilt my own positioning. The five things I genuinely run with AI in my week now, including the client story where four thousand support tickets changed a feature. The two things I refuse to hand over. Every objection I hear before someone books, answered honestly, including the ones I think are correct. And what AI for Designers is, four days before the waitlist opens for cohort seven.



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#168 Nobody Invites the UX Designer Anymore (UX Identity Crisis, Part 2)17 Sep 202600:20:48

AI for Designers: 5-week Bootcamp 💻 opening September Sep 28

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One UX designer, one fast team that stopped inviting him, and one escalation that made everything worse. In part two of UX Has an Identity Crisis, I share a story from a current client project and what it tells us about the rebuild. Why he lost, and why it has almost nothing to do with how good he is. The three roles UX is splitting into right now, and the one I would bet my career on. What I would do in his place from Monday, including how to bring real user evidence into a room with no research budget. And where I think this profession lands in the next two years.


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#167 UX Has an Identity Crisis10 Sep 202600:24:26

UX Has an Identity Crisis, and AI Is Just the Inspection

What is really changing in UX right now, the numbers behind it, and why AI is the inspection rather than the cause. Part one of two.

Resources and links

#166 The Great Role Shift: Design Engineers, Claude Design, and What It Means for You03 Sep 202600:28:32

Join the AI Workforce Challenge Sep 07 - Sep 14 LIVE ✨ Build your own agents and skills with Claude: Let's build together



Show notes / sources

#165 My AI Workforce in Claude Cowork: The Agents and Skills Behind the Scenes27 Aug 202600:26:03

7 Day Challenge, build your own AI workforce. Starts 7 September, seven days, one hour a day. 🔧 ⁠Sign up here


I work 24 hours a week. If you opened my laptop today you would not find a chatbot. You would find an org chart, built in Claude Cowork: six departments, none of them human.

In this episode I take the whole thing apart. The four text files underneath it, which are the boring part and take an afternoon to write. The six departments built on top, which are the part that actually changed my week. And the one file almost nobody builds, the one that turns a fast tool into something that sounds like you.

What you get: why a prompt library quietly fails and a memory file does not, how to name your departments after your week instead of after the tools, why a narrow role writes better than a general assistant, the one rule that stops research from ever publishing, and the honest cost of owning a system like this.

No code anywhere in it. If you can rename a folder, you can build this.


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#164 How Fin (Intercom) Prototypes With AI with Domingo Widen20 Aug 202600:48:02

Domingo Widen is a Staff Product Designer at Fin (formerly Intercom), where he leads the Frontend Infrastructure team — the team that builds the tools, design system and AI setup everyone else uses to ship. In this episode he opens up his actual workflow: a "Design Playground" repo every designer, PM and researcher can clone, prototyping directly in production, and "Search Intelligence" a persistent knowledge layer that teaches Claude how Fin designs and codes.

We talk about what happens when the Figma file stops being the deliverable: how a complex filtering system got built as a working prototype instead of ten mockups, how handoff turns into a PR plus an auto-generated spec, and why engineers ended up being the biggest users of the design team's skills. If you want a concrete, unhyped look at what an AI-native design team actually does day to day, this one is for you.


Key Learnings

  • There are two modes of AI prototyping and you need both. 
  • The design system is the guardrail that makes this safe. Because everyone builds on the same components and tokens, a PM or researcher can prototype without producing something off-brand or unusable.
  • Skills are only as good as the information behind them. Fin's early skills gave mixed results — so they built "Search Intelligence", a persistent information layer that every skill reads from.
  • Handoff becomes a PR + a generated spec. A "Search Handoff" skill reads the prototype code and writes the doc: architecture, what was built, which workarounds were needed, what broke. The engineer picks it up from there and focuses on plumbing, data and edge cases.
  • The biggest users of the design team's skills are engineers. 
  • Everyone works in the same medium now. PM, designer and engineer used to live in Google Docs, Figma and VS Code. Now it's one shared artifact — which makes conversations concrete but also creates an identity crisis for designers who defined their value by the file.
  • Curiosity + critical thinking are the two traits that survive.
  • Play is back — and it counts. Side projects (a baby sleep tracker, a garden planner that checks on tomatoes) are now part of a portfolio.


Domingo Widen


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#163 The Quarterly: My 24h Work week and What I'm Actually Working On (And What I Got Wrong)13 Aug 202600:18:33

In this first quarterly update I talk about the private company cohorts I'm building, the free Adobe Firefly workshop series, and three shifts I saw in the field over the last three months. Plus the honest version of how I actually work: three days a week, what that constraint did to my business, and the one thing I got wrong and waited far too long to fix.

IN THIS EPISODE

  • Why Claude Code stopped being a developer tool and turned into a research interface
  • How documentation moved from hygiene to infrastructure, and why designers are well positioned for that shift
  • What changes in your design work the moment an AI feature acts instead of suggests
  • Why being an expert in everything is no longer the goal, and what replaces it
  • How working three days a week made my business sharper instead of smaller
  • Why design teams rarely struggle with tool knowledge and almost always struggle with agreement
  • The thing I waited six months too long to fix

RESOURCES

Work with me: if you're self-employed and open to collaborating at some point, fill out this short survey. Completely non-binding, takes two minutes.
https://docs.google.com/forms/d/e/1FAIpQLSef6hsir1t5StSir8yPVA-0T6YsojyCmfR8X4kidDb8f7wJXw/viewform


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#162 The Case of the Vanished Judgment16 Jul 202600:22:30

A designer with 20+ years of experience sits in front of twelve competent, AI-generated screens... and can't evaluate a single one. Not because they're bad. Because something is missing. And the same thing happened to me.

In this episode, I investigate this case like a detective story: What was taken from us? Who took it? The answer turned out to be the most hopeful thing I've learned about design in years, disguised as a crisis. Because the comps were never the design. The comps are the artifact. The design is the model in your head, and no tool can generate it.

In this episode:

  • The mystery: why the most trained design judgment goes offline in front of good AI output (and why "AI output is slop" is the wrong explanation)
  • The three suspects: the AI, the speed, and the surprising real culprit
  • Why "the back-and-forth builds the model": the experiment that proves your value was never in the pixels
  • The cold case behind it all: how we spent 20 years selling the first three rounds, and why that gap just closed forever
  • The stakes ladder: what happens when a designer, a team, or a whole organization over-trusts AI output
  • Taste redefined: deciding, not decorating, and why having no opinion defaults to the average
  • The open question: if artifacts are cheap, is the "living transcript" the design deliverable of the future?
  • Your homework: five questions before pixels


Resources mentioned:

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#161 700 Components in One Day: How Design Work Is Quietly Moving Into Code08 Jul 202600:22:22

A client of mine just rebuilt their entire Figma design system — roughly 700 components — as code components in Claude Code. It took one day. And now their designers prototype in code, while Figma has become the tool they open "when they occasionally need to design something."

In this episode, I unpack what this story reveals about where our jobs are heading. The "should designers code?" debate is over — but we didn't end it. The job market did. And the way our roles are changing isn't arriving as a memo. It's arriving as convenience.

In this episode:

  • Why prototyping in the real system (instead of a Figma simulation) is a genuine qualitative leap — and why the design-to-dev handoff gap just disappeared
  • The four quiet problems nobody talks about: fast isn't faithful, two sources of truth, the illusion of production-ready, and the question of where invention lives now
  • Why role creep in 2026 doesn't come from your boss — it comes from your tools
  • The one question that matters more than "should designers code?": are you building the mental model, or just orchestrating outputs?
  • Your homework: pick one workflow change that happened "by itself" and choose it on purpose


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#160 AI Customer Research: Why Designers Should Learn Claude Code with Caitlin Sullivan02 Jul 202600:51:17

Most designers think Claude Code is a developer tool. Caitlin Sullivan makes the case that it's one of the most underrated tools for customer research and insight work. In this episode we talk about how she actually uses AI to get from raw customer conversations to insights you can act on, and why designers shouldn't wait for permission to pick this up. If you've felt stuck in the chat window, this one's for you.

Key Learnings

  • Why Claude Code is useful for designers and researchers, not just engineers
  • How Caitlin turns messy interview and customer data into clear patterns
  • Where AI actually adds value in research, and where human judgment still has to lead
  • A simple way to start if you've never touched anything beyond a chat interface


Find Caitlin Sullivan:

Linkedin: https://www.linkedin.com/in/caitlindsullivan/
Newsletter: https://aicustomerresearch.substack.com/
Course: https://maven.com/caitlin/claude-code-insights


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#159 Beyond the Copilot: The 4 AI Patterns Every Designer Should Know25 Jun 202600:27:00

Most teams default to chat when they think about adding AI to a product. But chat is just one pattern — and often not the right one. In this episode, Patricia breaks down the four AI interaction patterns every designer needs to know: Advisor, Generator, Agent, and Orchestrator. Each one has a completely different UX logic, a different failure mode, and a different answer to the one question that matters most: who carries the risk when the AI is wrong?


Key Learnings:

  • There are four distinct ways AI can show up in a product — and most teams only ever reach for one
  • Each pattern has a different design job: skimmable, editable, reversible, legible
  • The question "who carries the risk when the AI is wrong?" will change how you approach every AI feature you design
  • Most real products are a mix of patterns — knowing which part is which is where the real design work starts


Grab your early-bird ticket for the Future Product Days:

⁠https://www.futureproductdays.com


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#158 Why Junior Design Jobs Are Vanishing (And What To Do About It)04 Jun 202600:24:26

Junior design jobs are disappearing and most people are blaming the wrong thing. In this episode, I break down what's actually happening to entry-level design roles right now, why AI is only part of the story, and where the real opportunities are hiding. If you're starting your design career or feeling stuck in the job market, this one is for you.


What You'll Learn

  • Why junior design hiring is down — and why AI is only part of the story
  • Which specific tasks AI is automating right now (and which tools are doing it)
  • What the "learning loop problem" is and why it matters more than the job numbers
  • Where the real entry points are in 2025/2026: niches, new roles, new signals
  • What hiring managers actually want to see in portfolios right now
  • What "agentic experience design" is and why it's one of the fastest-growing new roles


Key Takeaways

  1. Entry-level design postings are down 43% since 2022 — but this is a restructuring, not the end of design
  2. AI is absorbing the "starter tasks" that juniors used to learn on — wireframing, synthesis, documentation — and that disrupts the learning loop, not just the job market
  3. The designers getting traction right now are AI-native, niche-focused, and show thinking over polish in their portfolios
  4. New roles like Agentic Experience Designer and Design Engineer are emerging — and almost no one is specializing in them yet


Grab your early-bird ticket for the Future Product Days:

https://www.futureproductdays.com


Resources Mentioned

AI for Designers: 5-week Bootcamp 💻 opening September

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#157 Google I/O Takeaways for Designers21 May 202600:19:31

Google I/O 2026 happened. And a few things they announced will actually change how you work as a designer. In this episode I break down the 7 that matter most — no fluff, just the stuff that's relevant for UX and product designers right now.  

IN THIS EPISODE 

→ Google Stitch — the free AI design tool that made Figma's stock drop 9% in one day→ Material 3 Expressive — Android's biggest redesign in a decade, now production default

→ Google Pics — finally an AI image tool where you can change one thing without regenerating everything

→ Google Flow + Veo 3 — AI video that's actually useful for design content

→ Android XR Glasses — shipping this fall, and the design conventions are still being written

→ NotebookLM + Workspace Studio — automated UX research workflows that actually work

→ Agentic UX — why designing for screens is no longer enough  


Resources:

Google Stitch → stitch.withgoogle.com

Material 3 Figma Kit → figma.com/community/file/1035203688168086460Google

Flow + Veo 3 → labs.google/fx/tools/flowVeo 3 in AI Studio → aistudio.google.com/models/veo-3

Android XR Design Docs → developer.android.com/design/ui/xr

NotebookLM → notebooklm.google.comWorkspace Studio → studio.workspace.google.com

All I/O 2026 announcements → blog.google/innovation-and-ai/technology/developers-tools/google-io-2026-collection/


AI for Designers: 5-week Bootcamp 💻 opening May 11th

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#156 Figma MCP, Claude skills, Agents14 May 202600:26:18

AI for Designers: 5-week Bootcamp 💻

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AI for Designers Is Open: Everything You Need to Know11 May 202600:15:16

AI for Designers is officially open for enrollment for just a couple of days (or until it's sold out)- In this special episode of Future of UX, I’m answering all the biggest questions about my live bootcamp AI for Designers.

We talk about:

  • how the bootcamp works
  • what’s included
  • how much time you actually need
  • AI workflows for designers
  • vibe coding, AI UX, research, prototyping & content generation
  • the live workshops and community
  • why AI skills are becoming essential for designers

I also share more about this cohort’s exclusive extras, including:

  • an exclusive Figma collaboration workshop
  • an AI Leadership workshop with Penny Blackmore
  • updated workflows, assignments, and live sessions


🚀 Sign up for AI for Designers now:
Join the bootcamp now

📩 Questions?
Feel free to message me on LinkedIn or Instagram or support@ai-for-designers.com

#155 I Tested 50 AI Tools. I Kept 5. Here's Why.08 May 202600:10:00

AI tool overwhelm is real. Every week there's a new demo, a new hype cycle, a new tab you open twice and never touch again. In this episode I share the five tools that actually stayed in my stack and more importantly, the exact workflows I use with each one. No fluff, no sponsored picks. Just what genuinely changed how I work as a UX designer and AI consultant.

In this episode I talk about why going deep on fewer tools beats testing everything — and walk you through my honest AI stack with real workflows for each tool.

Tools mentioned:

Claude — claude.ai

NotebookLM — notebooklm.google.com

Granola — granola.so

Weavy AI — weavy.ai Claude Code — claude.ai/code


AI for Designers Bootcamp: Waitlist opens Monday, limited spots. Includes: Claude Masterclass, live Figma Workshop, AI Leadership training with Penny Blackmore. → ai-for-designers.com


AI for Designers: 5-week Bootcamp 💻 opening May 11th

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#154 AI Evolution: The Darwin Moment in UX30 Apr 202600:27:17


Before UX, before Figma, before any of this . Patricia studied biology. And that lens changes how she sees what’s happening in design right now.

Because this isn’t just another tech shift.

It’s evolution.

In this episode, she breaks down why AI isn’t just changing tools or workflows — it’s creating a real divide between designers who adapt and those who don’t. And why this moment feels less like a trend… and more like a sorting process.

What you’ll learn in this episode

  • Why AI in design is not a “tool shift” but an evolutionary moment
  • The real meaning behind Darwin’s idea of adaptation — and why it applies to UX today
  • Why you’re not competing with AI, but with a version of yourself that uses it better
  • How companies like Stripe, Notion, and Figma are already working differently
  • The growing gap between designers experimenting with AI… and those fully rebuilding their workflows

The 3 patterns of designers who are actually adapting

  1. They redesign their workflows
    Not just adding AI as a side tool — but rethinking how work gets done from the ground up.
  2. They move up to orchestration
    Less time producing. More time deciding, directing, and shaping outcomes.
  3. They build instead of brief
    Moving from static specs to real, working prototypes using AI-powered tools.

Why this matters

Adaptation compounds.

The difference between starting now vs. waiting isn’t linear — it accelerates. Over time, it creates entirely different kinds of designers.

This isn’t about being better or worse.

It’s about moving… or staying still while everything else shifts.

3 things you can try this week

  • Rebuild one part of your workflow with AI at the center (not on the side)
  • Study real workflows (not tutorials) — for example from “How I AI”
  • Build one prototype in code instead of Figma using tools like Claude Code or v0

AI for Designers: 5-week Bootcamp 💻 opening May 11th

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#153 Claude Design: I Tested It So You Don't Have To23 Apr 202600:23:20

Claude Design launched April 17, 2026 and it's Anthropic's most designer-relevant release yet. In this episode, Patricia walks through three real experiments: a branded design system integration, an interactive infographic, and a social media carousel. She breaks down what actually works, what doesn't, and what designers need to know before they dive in.

Key Learnings:

  • Claude Design produces generic output without a design system load your brand assets first
  • It's token-heavy: the Max plan is where it becomes genuinely useful
  • Exports to Canva, PDF, PPTX, and HTML. Adobe and direct Figma integration aren't there yet
  • Still in research preview: no audit logs, no usage tracking treat it as a sandbox, not a production pipeline
  • Prompting is closer to writing a design brief than sending a chat message


AI for Designers: 5-week Bootcamp 💻 opening May 11th

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#152 Claude Cowork for Designers in 30 min (5 Real Workflows, Step by Step)16 Apr 202600:34:28

Claude Cowork is one of the most underestimated tools for UX designers right now. In this episode, Patricia breaks down exactly what Cowork is, how it's different from regular AI chat, and five concrete workflows you can run today — including research synthesis, competitive analysis, flow specs, design system docs, and portfolio case studies. Step-by-step, with exact prompts. Plus: how to set Cowork up so it actually knows who you are, and two power moves to level up once the basics click. And: the AI for Designers bootcamp is back — doors open May 11th, new Claude workshop included.


Here are the prompts I used: Copy here

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#151 The Empathic Web: When interfaces start responding to your emotions with Sebastian Löwe09 Apr 202600:38:03

What if websites could understand how you feel?

In this episode of Future of UX, Patricia talks with Sebastian, Director of UX Design at Virtual Identity, about a concept that could fundamentally change how we design digital experiences: the Empathic Web.

Instead of static interfaces that look the same for every user, the empathic web describes a future where digital products can adapt to a user’s emotional state in real time. Interfaces, tone of voice, information density, and even entire user journeys could dynamically change depending on whether someone feels stressed, curious, overwhelmed, or motivated.

Sebastian shares how advances in AI, behavioral signals, and new interaction models might make this possible and what it means for designers.

The conversation also explores the growing role of AI agents in digital products and why designers might soon have to design not only for humans but also for autonomous systems interacting with our products.

At the same time, this shift raises important ethical questions. If systems can detect emotions, how should companies use that information responsibly? Where is the line between helpful personalization and manipulation?

This episode is a deep dive into the future of UX and how AI could transform the way digital experiences are designed.

✨ What the Empathic Web is and why it matters
✨ How AI could detect emotions through signals like mouse movement, voice, and interaction patterns
✨ Why digital experiences may become dynamic instead of static
✨ How designers might start designing for emotional states across the user journey
✨ What Agentic UX means and why AI agents will change product design
✨ How websites may need to become agent friendly and machine readable
✨ Ethical questions around emotional data and manipulation
✨ Why learning experiences could be a perfect use case for empathic interfaces

Sebastian is Director of UX Design at Virtual Identity, a digital agency working across Munich, Freiburg, Vienna, and Porto.

Before returning to industry, he spent years in academia as a Professor of Design Management in Berlin, researching the intersection of design, technology, and culture.

His current work focuses on the future of UX in an AI driven world, including topics like the Empathic Web, Agentic UX, and AI powered digital experiences.


Connect with Sebastian: LinkedIn


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Quarterly Update: The AI Shifts Designers Should Watch Now02 Apr 202600:24:47

In this quarterly update, Patricia shares the few AI shifts designers should actually pay attention to right now—beyond the noise. We talk about Claude Skills (prompts turning into reusable workflows), what happens when tools start connecting into real ecosystems, and why AI is moving from “answers” to agents that can take action. Plus: how learning is changing with tools like NotebookLM and what all of this means for the future role of designers.

Topics teased:

  • Claude Skills + workflow thinking
  • MCP and connected tool ecosystems
  • “Computer Use” and the rise of AI agents
  • Learning faster with NotebookLM
  • Why design is shifting toward problem framing + systems thinking


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#149 Designing AI Features: The 3-Step Framework Product Teams Need with Bansi Mehta26 Mar 202600:55:32

In this episode of the Future of UX Podcast, I’m speaking with Bansi Mehta, founder of Koru UX Design. We talk about one of the biggest challenges product teams face today:

Everyone wants to add AI to their product.
But very few teams know how to actually design AI features that create real value for users.

Bansi recently shared a framework her team uses internally to design AI-powered experiences. The framework is called Sense–Shape–Steer, and it helps teams move from vague ideas like “we should add AI” to well-designed AI features that solve real problems.

In this conversation we break down the framework step by step and talk about:

✨ why many AI projects fail before they even start
✨ how to identify real AI opportunities
✨ how to decide between copilot, conversational, or agentic experiences
✨ why storyboarding AI behavior matters more than pixel-perfect mockups
✨ and how teams can prototype and test AI features faster than ever

If you’re currently exploring AI features or designing AI-powered products, this episode will give you a practical way to think about it.

00:00 Intro
02:30 Bansi’s background in healthcare UX
06:50 Why most teams struggle with AI features
11:30 The Sense–Shape–Steer framework explained
20:00 Copilot vs agentic AI experiences
27:00 Storyboarding AI interactions
33:00 Rapid AI prototyping and experimentation
44:00 Why AI literacy matters for designers

Bansi Mehta (LinkedIn)
https://www.linkedin.com/in/bansi-mehta/

Koru UX Design
https://www.koruux.com/

Sense–Shape–Steer AI UX Framework
(Comment “SENSE” on Bansi’s LinkedIn post to get access)

Topics in this episode


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#148 Understand Claude in 20 Minutes: Skills, Plugins, Code & What Designers Should Actually Use19 Mar 202600:19:21

Everyone is suddenly talking about Claude… but most people are still a bit confused about what it actually does.

In this episode, I break down the key features like Skills, Plugins, Connectors, Canvas, and Claude Code in a simple and practical way.

More importantly, I’ll show you what actually matters for you as a designer and what you should try first after listening.

If you’ve been hearing the hype but didn’t know where to start, this episode will give you a clear and structured overview without the noise.


Get the AI feature Claude skill (just comment under neath this real)

Claude AI skills


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#147 Why designers need to think like founders with Felix Haas12 Mar 202600:45:38

AI is changing how we design and build products faster than ever.

In this episode of Future of UX, I’m talking with Felix Haas, who is currently working at Lovable. Felix shares a lot of insights online about building products with AI, vibe coding, and how the way we create software is evolving.

Felix and I actually go back quite a few years. We first met in Berlin when he was running his own agency there, and since then I’ve been following his journey and the ideas he shares about building with AI.

What always fascinated me about Felix is his mindset. He comes from a design background, but he thinks very much like an entrepreneur. He constantly experiments, builds things, tests ideas, and isn’t afraid when something doesn’t work.

And honestly, that builder mindset might be one of the most important skills right now.

In our conversation we talk about where we actually are with AI today, what “vibe coding” really means, how the product development process is changing, and what all of this means for designers.

One thing we both agree on:
In the future, it might not be enough to just design products. Designers will need to build, experiment, and ship ideas much faster.


In this episode we talk about

• Where we actually are in the current AI wave
• What “vibe coding” means and why people talk about it
• Why building products is becoming easier than ever
• The shift from designing interfaces to building real products
• Why experimentation and curiosity are becoming essential skills
• The mindset designers need in an AI-driven world
• Why great products are still about solving real problems


About Felix

Felix Haas works at Lovable and shares insights about AI, building products, and vibe coding. Before that, he ran his own agency in Berlin and has been active in the design and startup world for many years.


Follow Felix:
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Substrack


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#146 Junior Designers, If I Were Starting My Design Career Today, I’d Do These 3 Things05 Mar 202600:24:42

In this episode of Future of UX, I’m sharing the three things I would do if I were starting my design career today as a junior UX/UI/Product Designer.

And I’m not saying this as abstract advice. I’m saying it as someone who started almost 10 years ago with basically zero real UX skills, taught myself a lot on the job, and built a career in a market that was booming back then.

The difference is: the market today is tighter, teams are leaner, and AI is automating a lot of the tasks that used to be classic “junior work.” So the big question becomes:

If execution is getting cheaper and faster… what becomes valuable?

  • What’s actually changing for junior designers (and why it’s not just hype)

  • Which junior tasks are increasingly automated

  • Where junior designers are most vulnerable (and how to avoid that trap)

  • The 3 highest-leverage moves I’d focus on in 2026–2028:

    1. Become AI-native (build workflows, not just prompts)

    2. Build product thinking early (learn the “why,” not just the “how”)

    3. Become the human layer in human–AI systems (trust, transparency, oversight)

You don’t need to master every tool. But you do need to move. Start small, build confidence, and position yourself above pure execution work.

What we coverKey takeawayAnd if you want to connect, I’m most active on LinkedIn (and sometimes on Instagram too), where I share tools, resources, and experiments.


🔗 Resources Mentioned



The Shape of AI – AI UX Patterns Library: https://www.shapeof.ai/


Microsoft HAX Toolkit – Guidelines for Human–AI Interaction
https://www.microsoft.com/en-us/haxtoolkit/ai-guidelines/

.

Google PAIR – People + AI Research
https://design.google/library/people-ai-research


People + AI Guidebook (Google PAIR)
https://pair.withgoogle.com/guidebook/


World Economic Forum – Future of Jobs Report
https://www.weforum.org/reports/the-future-of-jobs-report/


McKinsey – The Economic Potential of Generative AI
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai



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#145 From Pixels to Power: Why Designers Must Become Builders with Morten Rand-Hendriksen26 Feb 202601:08:55

What if the future of UX isn’t about better interfaces — but about moving beyond interfaces altogether?

In this episode, I’m joined by Morten Rand-Hendriksen, Principal Instructor at LinkedIn Learning, to talk about where design is really heading in the age of AI.

Morten has a background in web development, UX, and interaction design, and over the last years has gone deep into AI and product thinking. We’ve met at conferences like Future Product Days and had several conversations before — and every time, he brings a perspective that challenges assumptions in the best possible way.

This episode is not about tools.
It’s about responsibility, agency, power shifts — and what it really means to be a designer today.

We talk about:

• Why technology is always a choice — even when it feels inevitable
• What happens when users bypass interfaces completely
• Why designing for screens might already be outdated
• How AI agents change the balance between automation and control
• Why service design is becoming more important than ever
• Why designers now have an advantage over engineers
• And what junior and mid-level designers should focus on today

One of my favorite moments:

“You didn’t become a designer to move pixels. You became a designer because you saw how the world could be better.”

This conversation goes deep. It touches capitalism, automation, AI agents, product moats disappearing, and why the future belongs to people who understand systems — not just surfaces.

If you’re feeling excited, overwhelmed, curious, or slightly uncomfortable about where AI is taking design — this episode is for you.


Find Morten:

Linkedin

Morten's Ted talk


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#144 Something Big Is Happening with Matt Shumer:⁠ Agentic AI, Hype & What UX Designers Should Really Do19 Feb 202600:17:41

In this episode, we unpack a viral AI essay that compares today’s AI moment to February 2020 the calm before global disruption.

The author argues that AI has entered a new “phase change.” That systems like GPT-5.3 Codex and Claude Opus 4.6 are no longer just assistants, but autonomous agents capable of planning, executing, and iterating complex work independently.

But is this reality or hype?

As UX designers, we don’t need panic.
We need perspective.

In this episode, I explore:

  • What the viral article actually claims

  • Why it’s spreading so fast

  • What “agentic AI” really means

  • How leading voices are reacting — from optimism to skepticism

  • And how you can prepare long-term as a designer in an accelerating world

This isn’t about fear.
It’s about clarity, adaptability, and momentum.

Here are some of the voices referenced in this episode. I highly recommend exploring their work and forming your own opinion:

Matt Shumer
Founder & AI entrepreneur. Author of the viral “February 2020 moment” essay.

Nate B. Jones
AI commentator discussing the “phase change” toward agent swarms and autonomous systems.
YouTube

Allie K. Miller
AI advisor and former Amazon AI leader. Talks about “information asymmetry” and hands-on benchmarking with advanced AI systems.
LinkedIn

Ann Handley
Marketing leader and author advocating against AI panic — emphasizing human judgment and relationships.
LinkedIn

Gary Marcus
AI researcher and cognitive scientist offering a skeptical counterpoint on reliability and hype.
Substack


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#143 Synthetic Users, AI Interviews, and the Future of UX Research with Julian Della Mattia12 Feb 202600:47:52

In this episode of Future of UX, I’m joined by Julian Della Mattia, Senior User Insights Manager at DuckDuckGo.

I first came across Julian through his conference talk on synthetic users, and it immediately stood out. Not because it was hyped, but because it was thoughtful, critical, and refreshingly honest. At a time when AI research tools are popping up everywhere, Julian brings a grounded perspective on what actually helps, what quietly misleads teams, and why judgment still matters more than speed.

In this conversation, we talk about:

  • What synthetic users really are and what they’re not

  • Where AI-generated users can be useful and where they become risky

  • Why “plausible” answers are often more dangerous than wrong ones

  • AI-moderated interviews and what they do well (and badly)

  • Bias, validation, and responsibility in AI-supported research

  • How the role of UX researchers is shifting from execution to orchestration

This episode isn’t about replacing research with AI.
It’s about learning how to use AI as a tool without losing context, empathy, or decision quality.

If you work in UX, research, or product, and you’re trying to make sense of how AI is changing research practice right now, this episode will give you a much clearer mental model.


Resources mentioned:

Follow Julian's work: Substack


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#142 OpenClaw and the UX Shift from Interaction to Delegation05 Feb 202600:17:43

AI tools that talk are familiar by now.
AI systems that act are something else.

In this episode of Future of UX, Patricia takes a closer look at OpenClaw, an emerging AI agent system that can execute real actions instead of just giving advice.

Rather than repeating the hype, this episode breaks down what OpenClaw actually is, why it’s getting so much attention, and why it raises important questions for UX designers.

You’ll hear about:

  • What OpenClaw does and how it works at a high level

  • Why the shift from interaction to delegation is such a big deal

  • How agent-based systems change the meaning of “good UX”

  • Why undo, transparency, and permission design suddenly matter much more

  • Where the real risks are, including security, over-delegation, and loss of control

  • What designers should pay attention to as software starts acting on our behalf

This episode is not about whether OpenClaw will “win.”
It’s about what tools like this signal for the future of UX.

As software moves from responding to acting, UX design moves closer to governance, safety, and responsibility.
And that’s a shift designers can’t afford to ignore.


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#141 Dive into 5 Future-Ready UX Meta Skills You Need by 2030 and How to Build Them Today29 Jan 202600:35:10

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In this episode, I’m taking you behind the scenes into real stories from design sprints, roadmap meetings, and client challenges and all to unpack the 6 most important meta-skills that will define successful UX and Product Designers by 2030.

We’ll talk about:

  • What truly separates good from top-tier designers

  • How AI is changing the rules — and where your human edge lies

  • Concrete exercises, prompts, and ways to practice these skills in your day-to-day

  • What you should focus on in 2026 vs 2028 vs 2030

  • How to stay relevant as the field evolves faster than ever

Whether you're a senior designer, strategist, or just starting out, this episode is packed with hands-on insight and mindset shifts you’ll want to revisit.

🎯 The 6 Skills We Cover:

  1. Design Judgment – How to make smart decisions when data is fuzzy or feedback contradicts itself

  2. Influence Without Authority – Learn to drive alignment and product decisions, even without a formal title

  3. Outcome Thinking – Shift from “shipping screens” to solving real user and business problems

  4. Systems Thinking – Connect the dots across journeys, edge cases, and unintended consequences

  5. AI Fluency & Automation Awareness – Understand how to partner with AI tools instead of fearing them

  6. Strategic Framing – Reframe design challenges to match stakeholder goals, timing, and user impact


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#140 AI Project Case Study with Flore de Crombrugghe22 Jan 202600:23:55

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n this episode of the Future of UX Podcast, I’m joined by Flore, a former participant of my AI for Designers Bootcamp.

We talk about how Flora used the bootcamp to build a real AI-powered tool and how she approached a very common challenge in design teams: communicating design decisions across departments like business, product, and data.

Flora shares how she identified the problem, how she used AI and a web-based coding tool to prototype her idea, and what she learned along the way. We also talk about her experience in the bootcamp, what helped her most, and how hands-on experimentation shaped her thinking about AI in design.

  • Why communication across departments is still one of the biggest challenges for designers

  • How AI can help translate design decisions into clear, shared language

  • How to go from a problem insight to a working AI-powered prototype

  • Why you don’t need deep technical knowledge to start building with AI

  • How design roles are evolving through hands-on AI experimentation

This episode is especially interesting if you’re just getting started with AI or if you’re curious how other designers are already using AI to solve real problems in their daily work.

What you’ll take away from this episode


Find Flore on Linkedin: Flore de Crombrugghe

Her Casestudy: Watch here




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#139 AI Updates for Designers15 Jan 202600:22:23

✨ Free ✨ Design Trend report 2026

⁠⁠Get access to the trend report (40min video)⁠


Keeping up with AI updates has basically become a full-time job.

New models, new tools, new workflows — every week something changes, and most of us don’t have the time to read every release note, test every feature, or scroll through endless feeds.

So I did that for you.

In this episode, I break down five major AI updates from the last quarter that designers should actually know about right now.
Not as headlines, but as real insights: what changed, why it matters, and how this shows up in design and product work.

We’ll talk about:

  • how Claude is evolving into a real AI co-worker with agent-style workflows and Claude Code

  • why OpenAI Health is an important signal for high-stakes AI product design

  • what’s happening at Google with Gemini, generative UI, multimodal AI, and vibe coding

  • how ChatGPT Apps turn AI into a workflow layer across tools like Figma and Slack

  • and what CES tells us about the future of AI beyond screens, from devices to ambient experiences

This episode is a curated deep dive for designers who want to stay informed without drowning in updates — with concrete examples, UX implications, and clear takeaways.

At the beginning of the episode, I also share details about my free AI Challenge, starting next week, where you’ll build your first AI project brief step by step and get hands-on experience with AI.

If you work in design, UX, or product and want to understand where AI is actually heading — this episode is for you.


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Resources mentioned:

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#138 Big UX Trends 2026: The Shifts Designers Can’t Ignore08 Jan 202600:38:16

2026 is not just another trend year for UX.
It’s a transition phase.


⚡️ Trend report

Get access to the trend report (40min video)


In this episode, I’m sharing my UX Trends 2026 and why this moment matters more than the last ten years combined.

AI is no longer just a feature we add to products.
It’s becoming the interaction itself.

At the same time:

  • interfaces are dissolving

  • research is accelerating at machine speed

  • roles and career paths are shifting

  • and designers are facing new tensions around agency, personalization, and privacy


It’s about making sense of the signals we’re seeing right now – based on real project work, conversations with teams and leaders, and patterns emerging across the industry.


This is an exciting, challenging, and important year for UX.I hope this episode helps you navigate it with a bit more clarity.

In this episode, we talk about:

  • Generative UI and why UX is shifting from screens to intent

  • No-UI moments and what it means when UX disappears

  • AI-powered research and why designers become orchestrators of insight

  • Designing AI products that users can actually trust

  • Agentic AI and the rise of human–agent ecosystems

  • Vibe coding and why execution is no longer the bottleneck

  • The growing tension between personalization and privacy

  • Why UX roles are shifting from execution to agency

This episode is also connected to a free UX Trends 2026 report, where I walk through all trends in a more visual way, with concrete examples and products.

👉 You can sign up for the free report via the link in the show notes.

And if you want to go deeper into AI and UX this year:
AI for Designers starts its next round at the end of January. You can currently join the waitlist and get access to an early-bird discount when registration opens.

AI for Designers: 5-week Bootcamp 💻 Open Jan 26' 2026

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#137 Generative UI: Lessons from Google Labs Disco18 Dec 202500:19:34

Generative UI is quietly changing how digital products work — and Google Labs’ experimental browser Disco is a perfect example of that shift.

Not what buttons look like.

But how interfaces are created in the first place.

In this episode of Future of UX, I explore what happens when interfaces are no longer fixed screens, but generated on the fly based on user intent, context, and goals.

Using Disco and its GenTabs feature as a lens, we talk about:

  • why browsing is shifting from search-first to goal-first
  • how UI becomes a temporary, situational response rather than a static artifact
  • and why trust, transparency, and responsibility become core UX challenges in generative systems

This is not a tool review or a hype episode.

It’s a UX-first perspective on what Generative UI signals for designers, product teams, and anyone shaping digital experiences.

If you work in UX, product, or design strategy, this episode will help you understand what’s actually changing and why it matters.


Become part of the conversation:

Please share your thoughts here: Users casually creating their own apps now?

Learn more about disco: here

Jakob Nielsen's newsletter: here


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#136 The Big Shifts in UX, AI & Tech 202511 Dec 202500:34:19

In this episode of Future of UX, Patricia breaks down the most important tech and AI shifts of 2025 — the trends that fundamentally changed how we design, build, research, and work. If you missed anything this year or simply want the essential takeaways, this episode is your shortcut.

From AI Agents and deepfake-proof UX to vibe-coding, AI-native browsers, research automation, and the rise of general-purpose robots — here are the big transformations shaping the future of design.

Why 2025 was the year AI Agents became real — not as chatbots, but as autonomous coworkers running full workflows.
• How MCP unlocked the agent ecosystem
• Vibe coding and intent-driven development
• The shift from execution to oversight in human roles

Visual trust collapsed — and UX became responsible for rebuilding it.
• Why humans can’t detect deepfakes anymore
• What actually worked: C2PA, identity checks, and UI “micro-literacy”
• Designing interfaces that communicate authenticity and uncertainty

How tools like Lovable, Replit, and AI builders changed who gets to create.
• From pixel pushing to strategic direction
• Conversational creation flows
• What this means for designers and innovators

AI automated more than ever — but made human oversight more important.
• Where full autonomy worked
• Where humans stayed essential
• Why the future depends on intentional human-in-the-loop design

Research and analysis were transformed by automated synthesis.
• Superagency: managing research instead of doing it manually
• The new trust problem in fast research
• Data provenance, model transparency, and expert validation

Browsers became intelligence layers instead of navigation tools.
• Context-aware, predictive UX
• Browsers that act, not just display
• How this changes product and interaction design

Why general-purpose robots finally left the lab in 2025.
• Embodied AI
• Real-world perception
• Language-driven task execution


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#135 People, Agents & Robots: How Work Is Changing for UX Designers04 Dec 202500:21:24

In this episode, we explore one of the biggest shifts happening in the world of work right now: the rise of people–agent–robot partnerships.
I break down insights from McKinsey’s new report Agents, Robots, and Us and explain what this means for UX designers, product teams, and anyone working in digital experiences.

We talk about:
• how work is changing toward human + AI + robot collaboration
• why most skills won’t disappear, but evolve
• why AI fluency is becoming essential for designers
• the seven new job archetypes shaping future workflows
• real examples of people–agent–robot systems
• and why UX will play a central role in orchestrating these experiences

If you're curious about how to work with AI in a practical, meaningful way, this episode gives you a simple and friendly overview of what’s coming next.


Mentioned:
• McKinsey’s Agents, Robots, and Us report
• Neo robot


👉 Please your thoughts here:

Linkedin: Your next user might not be human: Designing for agents & robots



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#134 The Economics Behind AI: What Designers Need to Know27 Nov 202500:17:30

In this episode of Future of UX, we explore the real economics behind today’s AI tools.

Why are some tools stable while others quietly burn money?

What does OpenAI’s IPO tell us about where the industry is heading?

And what should designers expect in the next 1–3 years?

A clear, easy-to-understand breakdown for anyone designing in an AI-driven world.

  • Why AI is so expensive (training vs. inference costs)
  • How AI companies make money (and where they lose it)
  • Who’s profitable vs. who’s burning cash
  • Why cloud providers shape the whole industry
  • What OpenAI’s IPO really signals
  • How stable major design-related AI tools actually are
  • What designers should expect next: pricing, consolidation, workflow changes





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#133 What Hiring Managers Want in 2026 (and What They Don’t)20 Nov 202500:25:00

Design roles are shifting fast and AI is speeding things up. In this episode of Future of UX, we dig into what’s really changing in the UX world, which roles are emerging, and how you can stay ahead in a landscape shaped by automation, agents, and AI tools.


You’ll hear:

  • Why roles like Interaction Designer aren’t disappearing but evolving

  • What new job titles like “AI UX Designer” or “Design Ops” actually mean

  • The skills that make designers future-proof (and which ones won’t matter as much)

  • What hiring managers really want now

  • Plus: a real story of one of our bootcamp participants who landed her dream AI design job after sharing a case study on LinkedIn

This episode is packed with clarity, energy, and practical advice whether you're just starting out or looking to reinvent your UX role for the future.


🔗 Link to the case study mentioned:
👉 Have a look at the case study shoutout


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#132 Understand AI Agents in 20 Minutes13 Nov 202500:22:45

AI Agents are reshaping how we interact with technology — from simple assistants to fully autonomous systems that think and act on their own.
In this episode, Patricia breaks down what AI agents really are, how they differ from chatbots, what goes into building them, and why designers should start experimenting now.

Whether you’re new to the concept or already knee-deep in agentic design, you’ll walk away with a clear understanding of how these systems work and how to design for them.


🧠 Key takeaways

  1. Agents decide and act — they’re more than reactive chatbots.
  2. The six layers: model, tools, memory, audio, guardrails, orchestration.
  3. Start simple, build first, optimize later.
  4. Clear instructions matter more than fancy models.
  5. Designers are now shaping systems of behavior, not just interfaces.
  6. “Context engineering” is the next big UX skill for AI design.


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#131 Quarterly AI & UX Update: Vibe-Coding, AI Design Ecosystems & the Rise of Agent Browsers06 Nov 202500:27:17

This episode mixes a few personal updates — balancing work, creativity, and life — with the top three AI trends every designer should know about this season:

  • Vibe-Coding Goes Mainstream: How design teams are using emotional prototyping and AI-generated “vibes” to test concepts and shape user experiences faster than ever.
  • AI Design Ecosystems: Adobe and Canva are reinventing what design software means — merging creativity, speed, and automation into intelligent creative platforms.
  • The Rise of AI Browsers: With tools like OpenAI’s Atlas, browsing becomes conversational — and UX designers must start designing for both humans and AI agents.

You’ll walk away with fresh insights on how these changes are redefining creativity, how to stay ahead as a designer, and why human-centered thinking matters more than ever.

Because the future of UX isn’t about AI replacing us — it’s about designers who know how to think with it.


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#130 Halloween Special: UX AI Horror Stories and What UX Designers Should Actually Be Worried About30 Oct 202500:18:27

In this Halloween special of Future of UX, we explore the disturbing side of digital design where clever UX crosses into manipulation, AI tools launch without proper oversight, and personalization quietly erodes user autonomy.

From real-life cases involving Snapchat’s rogue chatbot to Amazon’s subscription “traps” and a tragic AI-assisted suicide, this episode dives into the UX decisions and AI deployments that turned dark and what designers need to learn from them.

These themes were at the core of powerful conversations in the most recent AI for Designers cohort, which just wrapped last week. If you’re interested in digging deeper into ethical design, human-centered AI, and how to design with integrity — the next cohort starts in January 2026.

Whether you're a UX designer, strategist, or just curious about the future of ethical tech: this is the episode you shouldn’t skip.

In this episode, we cover:

  • Why dark patterns still dominate — and why they may soon become illegal

  • What happens when AI tools roll out too fast (with no safety net)

  • The emotional toll of designing features you don’t believe in

  • How personalization is creating echo chambers and limiting human curiosity

  • Why “seamless” UX might be the most dangerous design trend of all

  • Actionable advice for spotting (and stopping) unethical product decisions


🔗 Sources & Real-World Cases Referenced in the Episode:

  1. FTC sues Amazon for dark patterns in Prime sign-up and cancelation (FTC, June 2023)

  2. Hilton agrees to disclose hidden resort fees after state AG probe (Nebraska Attorney General, Jan 2024)

  3. Snapchat’s My AI chatbot gave inappropriate advice to a 13-year-old (Washington Post, March 2023)

  4. UnitedHealth sued for using AI with 90% error rate to deny care (Reuters, Nov 2023)

  5. Belgian man dies by suicide after conversations with AI chatbot (Euronews, March 2023)

  6. TikTok’s algorithm creates extremist echo chambers in hours (The Guardian, July 2024)

  7. Meta’s Galactica AI shut down after 3 days due to misinformation (VentureBeat, Nov 2022)

  8. 33 U.S. states sue Meta over youth mental health harms (Reuters, Oct 2023)

  9. EU Digital Services Act bans dark patterns across digital platforms (Schönherr EU Law, Feb 2025)

  10. California CPRA makes dark patterns illegal in data privacy contexts (AdExchanger, Aug 2022)



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#129 OpenAI Atlas vs. Comet vs. Dia: AI Browsers and the Future of UX – 23 Oct 202500:17:45

In this episode of Future of UX, we dive into the next big shift: web browsers that don’t just open websites — they understand, summarise, act. We cover the newly launched ChatGPT Atlas (by OpenAI), and compare it with the bold efforts of Comet (by Perplexity AI) and Dia (by The Browser Company). We break down what each offers, where the UX opportunities and risks are, and what this means for us as UX designers in a world where the browser becomes an assistant, not just a tool. We’ll talk conversational interfaces, agentic workflows, trust and privacy, and how your design approach needs to evolve.






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#128 Vibe Coding Is Useless Without Strategy: Why Random AI Prototypes Don’t Work16 Oct 202500:14:16

What if you could build a working prototype just by describing it?

That’s the idea behind vibe coding a new way of designing where intent replaces execution, and AI handles the details.

In this episode, we explore:

  • what vibe coding actually is and how it works
  • how it’s transforming the UX process and team collaboration
  • which new skills designers need to stay ahead
  • and the real risks behind the hype — from creative sameness to fragile AI code

You’ll hear insights, real examples, and a look at how designers, PMs, and developers can work together in this new AI-powered workflow.


✨ Join the Vibe Coding for UX live Training✨

From Intent to Interactive Prototype, a live training where you’ll learn to turn your ideas into testable prototypes, no coding required.

📅 Oct 29th, 5pm CET

→ ⁠Grab your spot (early bird offer)⁠



AI for Designers: 5-week Bootcamp 💻

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#127 How ChatGPT Apps Could Redefine UX Design: When Apps Go Invisible: 09 Oct 202500:16:51

What happens to UX design when apps disappear or rather, move inside ChatGPT?


Please share your thoughts with me on Linkedin


In this episode of Future of UX, Patricia explores OpenAI’s latest update: ChatGPT’s new app ecosystem. With integrations from Canva, Figma, Booking.com, and Etsy, ChatGPT is evolving into more than just a chatbot it’s becoming a platform where the interface is the conversation itself.

We’ll cover:

  • What ChatGPT’s new app store means for designers and users
  • Why invisible interfaces could be the next big UX paradigm shift
  • The opportunities and risks: transparency, trust, and user control
  • How the role of designers may evolve from screen design to conversation architecture
  • Why some call this the birth of an “AI-OS”

If you want to understand where UX is heading and what skills you’ll need for the future, this episode is for you.


✨ Sign up for the AI Booster Session✨

AI Prototyping with Vibecoding on Oct 29th, 5pm CET

→ Grab your spot (early bird offer)



AI for Designers: 5-week Bootcamp 💻

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Follow the Future of UX:

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