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

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:
LinkedIn
Substrack

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

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

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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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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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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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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