AI and Design

A year ago the consensus was that AI would hurt Apple. Last week at WWDC they showed up with a real Siri AI, the privacy story nobody else can match, and the $$$ hardware to run it. The "AI for the rest of us" play might just work. Dan and Nik dig into what Apple actually shipped, why App Intents matter for designers, and the gut-punch reality that your year-old iPhone won't run it.

Also this episode: Airbnb CEO Brian Chesky is building a design-led AI lab, and nobody can quite figure out what it's selling. Sarah...

Dan and Nik dig into Microsoft's sweeping redesign of 365 Copilot , transforming the prompt box into a task-aware workspace, leaning into progressive disclosure, and positioning AI as an embedded layer across Word, Excel, and Outlook rather than a bolt-on feature. They also discuss Jeff Gothelf's argument that "done" means something fundamentally different for AI products, where probabilistic outputs require teams to write acceptance criteria as distributions and build failure triage into launch rather than after. Rounding out the news: Amazon's Proteus warehouse robots can now take natural-language direction from human workers, and a Salesforce designer shares how her team is...

Updates to Figma and Google Stitch
https://www.figma.com/blog/figma-make-now-on-your-local-code
https://blog.google/innovation-and-ai/models-and-research/google-labs/stitch-updates/

The Design System Advantage is Memory
https://learn.thedesignsystem.guide/p/the-design-system-advantage-is-memory

Fraude Design
https://fraude.design/

Nik's Interview with CEO of Quilter, Sergiy Nesterenko
https://www.linkedin.com/in/sergiynesterenko/
https://www.quilter.ai/

This week we talk about Figma's new design agent integrated right on the canvas, the 2026 State of AI in Design Report, and Bain's experiment with synthetic customers. Then Dan interview Llewyn Paine about the future of UXR and design and gives a preview of the Rosenfeld Designing with AI Conference 2026 https://rosenfeldmedia.com/designing-with-ai/

Show Notes:

When you collaborate with AI on a piece of work, whose thinking is it, really? That question runs underneath what a lot of designers and creatives are arguing about right now, and this week on AI and Design, Nik and Dan dig in.

We start with Giorgio Schirò's "The thinking was never just mine," which uses Andy Clark and David Chalmers' "extended mind" theory to argue that creativity has always been distributed: our taste comes from books, films, teachers, and a thousand inputs we don't normally count. AI doesn't invent this loop; it just makes i...

Wharton researchers fed people AI-generated answers, half of them deliberately wrong. The participants accepted them 73% of the time — and their confidence went up. They're calling it "cognitive surrender." Nik and Dan dig into what separates it from plain old cognitive offloading, and the design moves that might pull people back.

Then: Ethan Ding's "Claude Code Is Not Making Your Product Better," and why taste, not coding speed, is the bottleneck for product quality.

Finally, Tom Groendal, Senior Product Manager at CACI's DarkBlue Intelligence Group, on what AI actually looks like inside a working product team: me...

Wharton researchers fed people AI-generated answers, half of them deliberately wrong. The participants accepted them 73% of the time — and their confidence went up. They're calling it "cognitive surrender." Nik and Dan dig into what separates it from plain old cognitive offloading, and the design moves that might pull people back.

Then: Ethan Ding's "Claude Code Is Not Making Your Product Better," and why taste, not coding speed, is the bottleneck for product quality.

Finally, Tom Groendal, Senior Product Manager at CACI's DarkBlue Intelligence Group, on what AI actually looks like inside a working pr...

Dan and Nik talk about how to design for your next user being an agent, the impact of AI on team structure and dynamics, the challenge of memory and recall in conversation-based AI systems, and the shift towards AI experience design focused on constraints, not prompts.

Chapters

LINKS
Your product has a...

Google's MC Dean, the author of over 100 AI skills for designers on everything from accessibility to moods, joins Nik and Dan to talk about Skills: how to make them, how to use them, and what the future of them could be.

LINKS

MC Dean on Substack
https://marieclairedean.substack.com/

MC Dean on Github
https://github.com/owl-listener

Surely You're Joking, Mr. Feynman book
https://amzn.to/4sYGQek

Surprise surprise, Dan and Nik talk about Anthropic's launch of Claude Design. The Nik does a set of rapid-fire interviews from the 2026 CHI conference, featuring the latest HCI research in AI and Design.

Dan checks out a Fast Company interview with Anthropic's Head of Design Joel Lewenstein and finds reasons for hope. Dmitry Kargaev points out the flaws of AI UX and has some reasons for why is happens. A catalog of AI brand archetypes, and Dan applauds Patrizia Bertini's call to rethink Human-Centered Design to be less about "users" and more about "citizens."

Links:

Fast Company Interview with Joel Lewenstein

https://www.fastcompany.com/91519289/inside-anthropics-biggest-design-choices

AI Products Have Terrible UX: Here's Why

https://hackernoon.com...

Dan, Nik, and special guest Mike Kuniavsky ("Observing the User Experience") do a deep dive into the impact of AI on the traditional design practice and process. They get into the disappearing/evolving role of design artifacts, the influence of AI on design literacy, and the reevaluation of the design process in the age of AI. AI has triggered the democratization of design tools, a shift in organizational power dynamics, and ofttimes the complete disregard for of unknown unknowns. They also explore the changing product risk surface, the redefinition of scale in design practice, and the role of synthetic...

Dan and Nik talk about Anthropic's latest announcement about computer use and its impact on how designers design screens. Then they discuss the article "AI didn't kill product intuition. It exposed who never had it." Author Chris Noessel stops by to talk about his new book Designing Assistant Technology and the challenges and considerations in designing AI to assist users. The conversation touches on the risks of descaling and over-reliance, and cthe importance of keeping cognitive engagement in AI design.

https://amzn.to/414zOta
https://www.productparty.us/p/ai-didnt-kill-product-intuition-it

Dan and Nik offer opinions on Google Stitch, a new design tool that just dropped from Google Labs. They also dig deep into John Maeda's 2026 Design in Tech report, debating his key insights for designers in the evolving landscape of AI and design. Lastly, a discussion on the codification, sharing and future of downloadable design skills.

Google Stitch: https://stitch.withgoogle.com/
Design in Tech 2026: https://designintech.report/
MC Dean's Skills: https://substack.com/@marieclairedean/p-190232071 and https://substack.com/@marieclairedean/p-190956350

Nik and Dan talk about new AI image editing tools from Canva and Adobe and the value of baking AI right into existing tools. The conversation switches to a provocative new essay by George Sivulka on the importance of Institutional AI and not just Individual AI, which can be chaotic if it's not coordinated.

https://x.com/gsivulka/status/2031797989908627849

Lastly, Dan interviews Louise Macfadyn, author of the upcoming book Designing AI Interfaces.

https://amzn.to/4lAf9qi

There was just too many interesting stories this week, so Nik and Dan do a Very Special Hot Takes episode with a wide-ranging conversation that covers 14 topics, including the importance of product sense, open source tools, the cultivation of design judgment, the urgency of AI regulation, the future of AI images, the impact of AI on design jobs, real-time UI, writing specs for AI agents, and breaking the echo chamber in interfaces.

Chapters

Dan and Nik delve into the evolving role of designers in the age of AI, emphasizing the need for adaptability, control of your own process, and how vision and judgement are design's superpowers. This episode explores the impact of AI on the design process, the importance of maintaining focus on the work, and the challenges of keeping up with the rapid pace of change in the industry.

Nik and Dan talk about another announcement from Figma and Anthropic and the impact on the future of design tools. They examine a new research paper from Apple and the HCII on how to best design computer use agents, and talk about Wes McKinney's article The Mythical Agent-Month. They end with discussing the role of taste in an AI world and if it is the skill designers should be focusing on.

Dan and Nik delve into the Figma's 2026 State of the Designer Report, people feeling like AI is being shoved at them, the challenges related to AI's impact on flow and attention, and the Harvard Business Report's implications of AI on job satisfaction and work intensification.

Dan and Nik chat about OpenAI's new Frontier platform and what it might mean for designers and even their career paths. We then discuss James Harrison's essay "The Return of The Intuitive Designer." Then Dan interviews Shane Johnson, Principal User Researcher at Figma, on the role that user research has in this AI world.

Nik and Dan dive deep into Figma MCP and the need for a dual strategy for experience design, that considers both human and AI website visitors. Of course Clawdbot/Moltbot/OpenClaw came up. Some research on creativity, and finally the role of user researchers in the AI world.

Dan and Nik discuss the rumor of Google's AI Studio getting a design mode, Anthropic and DeepMind CEOs at Davos talking about the future of AI, Anthropic's Constitution for Claude, and the concept of software too cheap to meter.

Dan and Nik discuss the rumor of Google's AI Studio getting a design mode, Anthropic and DeepMind CEOs at Davos talking about the future of AI, Anthropic's Constitution for Claude, and the concept of software too cheap to meter.

Nik and Dan discuss Impeccable: a set of skills for AI agents to improve the "AI House Style" designs that AIs are churning out. Then, talking about a new research paper that suggests AI's greatest potential is as entertainment and cultural production. Lastly, we review Dan's article that categorizes four possible futures for AI, including AI disappearing into existing apps, specialized AI features, AI as an operating system, and AI as a universal intermediary.

On this week's episode, Nik and Dan discussed:

Plus: our AI and Design Predictions for 2026.