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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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

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

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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

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

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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

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

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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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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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🎥 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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.

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

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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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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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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.

Links you’ll want to check out:

• • ChatGPT Atlas (by OpenAI): https://openai.com/index/introducing-chatgpt-atlas/ 
    Alternative mirror: https://chatgpt.com/atlas/ ChatGPT

  • Comet (by Perplexity AI): https://www.perplexity.ai/comet/ 
    Blog intro: https://www.perplexity.ai/hub/blog/introducing-comet 

• Dia (by The Browser Company): https://www.diabrowser.com/ Dia Browser
  Beta-launch coverage: https://techcrunch.com/2025/06/11/the-browser-company-launches-ai-first-browser-dia-in-beta/

  
  

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