Future of UX | Your Design, Tech and User Experience Podcast | AI Design

Nielsen Norman Group asked 521 UX practitioners how AI is changing their work. They rated AI 4.2 out of 5 for making tasks faster, but only 3.57 for how they feel about it, and 69% of comments were negative. In part one of a three part series on UX in the agent era, I follow the saved time to the four places it leaks out, look at why designers feel much less job secure than PMs, and share three things to do on Monday. Plus: the Case Study Engine, for making your decisions visible.

🚀 Case Study Engine course: opens Friday,November 06 → ⁠Join the Case Study Engine waitlist

Resources and links
Case Study Engine: https://ai-for-designers.com/casestudyengine/
NN/g, "AI in UX: Work Is Faster, But Practitioners Have Mixed Feelings," Rosala and Banawa, 23 Oct 2026:
 https://www.nngroup.com/articles/ai-in-ux-survey-26/
Dayforce, 17th Annual Pulse of Talent, “Fast now, fragile later”: ⁠https://www.dayforce.com/resources/17th-annual-pulse-of-talent-workforce-fragility⁠
“Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows” (Stewart, Anise, Hogan and Griffin, Sep 2026): https://arxiv.org/abs/2609.26725

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🚀 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 

Follow the Future of UX:
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👉 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:
Claude Motion, and why it isn’t really a video tool
Agents and skills inside Figma, and why the most powerful part is a text file
Cheaper Claude models (Opus 5.5, Sonnet 5.5, Haiku 5.5) and what that means for building your own tools
Automation that keeps running in the background
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
Claude Motion and Claude Dashboards, what’s new
Figma: The Figma Design Agent is here
Figma skills for agents on the canvas
Claude model release timeline
Free: The Case Study Structure guide

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

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
What Muse, Muse Spark and the Muse Charm actually are
What TIME found in Muse's instructions, and why the people around you are in it too
The gift first, terms later pattern across Meta's products
Three design decisions: defaults, visible memory, bystander consent
Where consent design is heading for us as designers

Resources
TIME: Meta’s Muse AI Agent Is Building a Dossier On You
Fast Company: Meta’s Muse is taking off. So are the privacy concerns
Decrypt: Muse and the Messages dispute
The Next Web: Meta testing human callers behind Muse (Reuters)
Webull: Hunterbrook discloses short position
TechRepublic: Muse Charm preview
TechCrunch: Ray-Ban Meta privacy settings, April 2025
Computing: Meta explores facial recognition for glasses (NYT)
Campus Technology: OpenAI introduces Dots
BGR: Amazon Bee

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

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
OpenAI: The Hugging Face incident and the road ahead
Hugging Face: technical timeline of the agent intrusion
Jacob Coxon's resignation thread on X
MIT Technology Review on "Don't be fooled by this summer of AI hype"
Lenny's Newsletter: how tech workers are feeling in 2026

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