Sara Paul writing for NN/g:

The core principles of UX and product design remain unchanged, and AI amplifies their importance in many ways. To stay indispensable, designers must evolve: adapt to new workflows, deepen their judgment, and double down on the uniquely human skills that AI can’t replace.

They spoke with seven UX practitioners to get their take on AI and the design profession.

I think this is great advice and echoes what I’ve written about previously (here and here):

There is a growing misconception that AI tools can take over design, engineering, and strategy. However, designers offer more than interaction and visual-design skills. They offer judgment, built on expertise that AI cannot replicate.

Our panelists return to a consistent message: across every tech hype cycle, from responsive design to AI, the value of design hasn’t changed. Good design goes deeper than visuals; it requires critical thinking, empathy, and a deep understanding of user needs.

Great reminder from Kai Wong about getting stuck on a solution too early:

Imagine this: the Product Manager has a vision of a design solution based on some requirements and voices it to the team. They say, “I want a table that allows us to check statuses of 100 devices at once.”

You don’t say anything, so that sets the anchor of a design solution as “a table with a bunch of devices and statuses.”

There has been an explosion of AI-powered prompt-to-code tools within the last year. The space began with full-on integrated development environments (IDEs) like Cursor and Windsurf. These enabled developers to use leverage AI assistants right inside their coding apps. Then came a tools like v0, Lovable, and Replit, where users could prompt screens into existence at first, and before long, entire applications.

A couple weeks ago, I decided to test out as many of these tools as I could. My aim was to find the app that would combine AI assistance, design capabilities, and the ability to use an organization’s coded design system.

While my previous essay was about the future of product design, this article will dive deep into a head-to-head between all eight apps that I tried. I recorded the screen as I did my testing, so I’ve put together a video as well, in case you didn’t want to read this.

Product design is going to change profoundly within the next 24 months. If the AI 2027 report is any indication, the capabilities of the foundational models will grow exponentially, and with them—I believe—will the abilities of design tools.

The TL;DR of the report is this: companies like OpenAI have more advanced AI agent models that are building the next-generation models. Once those are built, the previous generation is tested for safety and released to the public. And the cycle continues. Currently, and for the next year or two, these companies are focusing their advanced models on creating superhuman coders. This compounds and will result in artificial general intelligence, or AGI, within the next five years. 

Karri Saarinen, writing for the Linear blog:

Unbounded AI, much like a river without banks, becomes powerful but directionless. Designers need to build the banks and bring shape to the direction of AI’s potential. But we face a fundamental tension in that AI sort of breaks our usual way of designing things, working back from function, and shaping the form.

I love the metaphor of AI being the a river and we designers are the banks. Feels very much in line with my notion that we need to become even better curators.

Saarinen continues, critiquing the generic chatbox being the primary form of interacting with AI:

One way I visualize this relationship between the form of traditional UI and the function of AI is through the metaphor of a ‘workbench’. Just as a carpenter's workbench is familiar and purpose-built, providing an organized environment for tools and materials, a well-designed interface can create productive context for AI interactions. Rather than being a singular tool, the workbench serves as an environment that enhances the utility of other tools – including the ‘magic’ AI tools.

Software like Linear serves as this workbench. It provides structure, context, and a specialized environment for specific workflows. AI doesn’t replace the workbench, it's a powerful new tool to place on top of it.

It’s interesting. I don’t know what Linear is telegraphing here, but if I had to guess, I wonder if it’s closer to being field-specific or workflow-specific, similar to Generative Fill in Photoshop. It’s a text field—not textarea—limited to a single workflow.

In a recent podcast with partners at startup incubator Y Combinator, Jared Friedman, citing statistics from a survey with their current batch of founders says, “[The] crazy thing is one quarter of the founders said that more than 95% of their code base was AI generated, which is like an insane statistic. And it’s not like we funded a bunch of non-technical founders. Like every one of these people is highly tactical, completely capable of building their own product from scratch a year ago…”

A comment they shared from founder Leo Paz reads, “I think the role of Software Engineer will transition to Product Engineer. Human taste is now more important than ever as codegen tools make everyone a 10x engineer.”

While vibe coding—the new term coined by Andrej Karpathy about coding by directing AI—is about leveraging AI for programming, it’s a window into what will happen to the software development lifecycle as a whole and how all the disciplines, including product management and design will be affected.

The fall of Sonos isn’t as simple as a botched app redesign. Instead, it is the cumulative result of poor strategy, hubris, and forgetting the company’s core value proposition. To recap, Sonos rolled out a new mobile app in May 2024, promising “an unprecedented streaming experience.” Instead, it was a severely handicapped app, missing core features and broke users’ systems. By January 2025, that failed launch wiped nearly $500 million from the company’s market value and cost CEO Patrick Spence his job.

What happened? Why did Sonos go backwards on accessibility? Why did the company remove features like sleep timers and queue management? Immediately after the rollout, the backlash began to snowball into a major crisis.

As a designer and longtime Sonos customer who was also affected by the terrible new app, a little piece of me died inside each time I read the word “redesign.” It was hard not to take it personally, knowing that my profession could have anything to do with how things turned out. Was it really Design’s fault?

Appearing on Joe Rogan’s podcast, this week, Meta CEO Mark Zuckerberg said that Apple “[hasn’t] really invented anything great in a while. Steve Jobs invented the iPhone and now they’re just kind of sitting on it 20 years later."

Let's take a look at some hard metrics, shall we?

I did a search of the USPTO site for patents filed by Apple and Meta since 2007. In that time period, Apple filed for 44,699 patents. Meta, nee Facebook, filed for 4,839, or about 10% of Apple’s inventions.

Fabricio Teixeira and Caio Braga, in their annual The State of UX report:

Despite all the transformations we’re seeing, one thing we know for sure: Design (the craft, the discipline, the science) is not going anywhere. While Design only became a more official profession in the 19th century, the study of how craft can be applied to improve business dates back to the early 1800s. Since then, only one thing has remained constant: how Design is done is completely different decade after decade. The change we’re discussing here is not a revolution, just an evolution. It’s simply a change in how many roles will be needed and what they will entail. “Digital systems, not people, will do much of the craft of (screen-level) interaction design.”

Scary words for the UX design profession as it stares down the coming onslaught of AI. Our industry isn’t the first one to face this—copywriters, illustrators, and stock photographers have already been facing the disruption of their respective crafts. All of these creatives have had to pivot quickly. And so will we.

Teixeira and Braga remind us that “Design is not going anywhere,” and that “how Design is done is completely different decade after decade.”

I recently read a post on Threads in which Stephen Beck wonders why the New York Times needs an external advertising agency when it already has an award-winning agency in-house. You can read the back-and-forth in the thread itself, but I think Nina Alter’s reply sums it up best:

Creatives need to be free to bring new perspectives. Drink other kool-aid. That’s much of the value in agencies.

This all got me thinking about the differences between working in-house and at an agency. As a designer who began my career bouncing from agency to agency before settling in-house, I’ve seen both sides of this debate firsthand. Many of my designer friends have had similar paths. So, I’ll speak from that perspective. It’s biased and probably a little outdated since I haven’t worked at an agency since 2020, and that was one that I owned.

I think the best path for a young designer is to work for agencies at the beginning of their careers. It’s sort of like casually dating when you first start dating. You quickly experience a bunch of different types of people. You figure out what your preferences are. You make mistakes. You learn a lot about your own strengths and weaknesses. And most importantly, you grow. This is all training for eventually settling down and investing in a long-term relationship with a partner.

I’ve always been a maker at heart—someone who loves to bring ideas to life. When AI exploded, I saw a chance to create something new and meaningful for solo designers. But making Griffin AI was only half the battle…

Birth of an Idea

About a year ago, a few months after GPT-4 was released and took the world by storm, I worked on several AI features at Convex. One was a straightforward email drafting feature but with a twist. We incorporated details we knew about the sender—such as their role and offering—and the email recipient, as well as their role plus info about their company’s industry. To accomplish this, I combined some prompt engineering and data from our data providers, shaping the responses we got from GPT-4.

Playing with this new technology was incredibly fun and eye-opening. And that gave me an idea. Foundational large language models (LLMs) aren’t great yet for factual data retrieval and analysis. But they’re pretty decent at creativity. No, GPT, Claude, or Gemini couldn’t write an Oscar-winning screenplay or win the Pulitzer Prize for poetry, but it’s not bad for starter ideas that are good enough for specific use cases. Hold that thought.

Apple finally launched its Vision Pro “spatial computing” device in early February. We immediately saw TikTok memes of influencers being ridiculous. I wrote about my hope for the Apple Vision Pro back in June 2023, when it was first announced. When preorders opened for Vision Pro in January, I told myself I wouldn’t buy it. I couldn’t justify the $3,500 price tag. Out of morbid curiosity, I would lurk in the AVP subreddits to live vicariously through those who did take the plunge.

After about a month of reading all the positives from users about the device, I impulsively bought an Apple Vision Pro. I placed my order online at noon and picked it up just two hours later at an Apple Store near me.

Many great articles and YouTube videos have already been produced, so this post won’t be a top-to-bottom review of the Apple Vision Pro. Instead, I’ll try to frame it from my standpoint as someone who has designed user experiences for VR. 

Welcome to the Era of Spatial Computing

We communicate in stories. Storytelling has been around as long as our species has existed. From paintings on cave walls in Lascaux, to hieroglyphics in ancient Egypt, to radio dramas like “War of the Worlds” that cause city-wide panic, to the fantastical Game of Thrones television series on HBO, stories impart culture, history, information, and ideas. Stories are primal so we are receptive to them, and we remember them.

Today when we think of storytelling, we think of our modern day’s Golden Age of Television or the Marvel Cinematic Universe (“MCU”) movies. Comic-Con in San Diego is the Mecca of pop culture storytelling, and this year brought an estimated 135,000 fans from over 80 countries. Attendees packed over 2,000 panels and screenings and lined up for more than 250 autograph events from their favorite actors, writers, and artists. Fans lined up for hours, often overnight, for a chance to get into the infamous 6,500-seat Hall H where they were able to get a glimpse of their favorite star talking about their latest film or TV project. Many came to the con dressed as their favorite characters, often constructing their own elaborate costumes. That is fandom, otherwise known as brand loyalty.

What lessons for design and branding can we learn from Comic-Con and its pilgrimage of rabid fans? Storytelling has power, and design is storytelling.

In this article we’ll take the primary elements of storytelling and apply them to design, namely branding, marketing, and product design: