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66 posts tagged with “tech industry”

In a dual profile, Ben Blumenrose spotlights Phil Vander Broek—whose startup Dopt was acquired last year by Airtable—and Filip Skrzesinski—who is currently working on Subframe—in the Designer Founders newsletter.

One of the lessons Vander Broek learned was to not interview customers just to validate an idea. Interview them to get the idea first. In other words, discover the pain points:

They ran 60+ interviews in three waves. The first 20 conversations with product and growth leaders surfaced a shared pain point: driving user adoption was painfully hard, and existing tools felt bolted on. The next 20 calls helped shape a potential solution through mockups and prototypes—one engineer was so interested he volunteered for weekly co-design sessions. A final batch of 20 calls confirmed their ideal customer was engineers, not PMs.

As for Skrzesinski, he’s learning that being a startup founder isn’t about building the product—it’s about building a business:

But here’s Filip’s counterintuitive advice: “Don’t start a company because you love designing products. Do it in spite of that.”

“You won’t be designing in the traditional sense—you’ll be designing the company’s DNA,” he explains. “It’s the invisible work: how you organize, how you think, how you make decisions. How it feels to work there, to use what you’re making, to believe in it.”

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Designer founders on pain-hunting, seeking competitive markets, and why now is the time to build

Phil Vander Broek of Dopt and Filip Skrzesinski of Subframe share hard-earned lessons on getting honest about customer signals, moving faster, and the shift from designing products to companies.

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Brian Balfour, writing for the Reforge blog:

Speed isn’t just about shipping faster, it’s about accelerating your entire learning metabolism. The critical metric isn’t feature velocity but rather your speed through the complete Insight → Act → Learn loop. This distinction separates products that compound advantages from those that compound technical debt.

The point being that now with AI, product teams are shipping faster. And those who aren’t might get lapped (to use an F1 phrase).

When Speed Becomes Table Stakes: 5 Improvements to Accelerate Insight to Action

In a world where traditional moats can evaporate in weeks rather than years, speed has transformed from competitive advantage to baseline requirement—yet here lies the paradox: while building and shipping have never been faster, the insights to fuel that building remain trapped in months-long archaeological expeditions through disconnected tools.

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Bell Labs was a famed research lab run by AT&T (aka “Ma Bell” before it was broken up). You can draw a straight line from Bell Labs to Xerox PARC where essential computing technologies like the graphical user interface, the mouse, Ethernet, and more were invented.

Aeroform, writing for 1517 Fund:

The reason why we don’t have Bell Labs is because we’re unwilling to do what it takes to create Bell Labs — giving smart people radical freedom and autonomy.

The freedom to waste time. The freedom to waste resources. And the autonomy to decide how.

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Why Bell Labs Worked.

Or, how MBA culture killed Bell Labs

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Nate Jones performed a yeoman’s job of summarizing Mary Meeker’s 340-slide deck on AI trends, the “2025 Technology as Innovation (TAI) Report.” For those of you who don’t know, Mary Meeker is a famed technology analyst and investor known for her insightful reports on tech industry trends. For the longest time, as an analyst at Kleiner Perkins, she published the Internet Trends report. And she was always prescient.

Half of Jones’ post is the summary, while the other half is how the report applies to product teams. The whole thing is worth 27 minutes of your time, especially if you work in software.

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I Summarized Mary Meeker's Incredible 340 Page 2025 AI Trends Deck—Here's Mary's Take, My Response, and What You Can Learn

Yes, it's really 340 pages, and yes I really compressed it down, called out key takeaways, and shared what you can actually learn about building in the AI space based on 2025 macro trends!

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Josh Miller, writing in The Browser Company’s substack:

After a couple of years of building and shipping Arc, we started running into something we called the “novelty tax” problem. A lot of people loved Arc — if you’re here you might just be one of them — and we’d benefitted from consistent, organic growth since basically Day One. But for most people, Arc was simply too different, with too many new things to learn, for too little reward.

“Novelty tax” is another way of saying using non-standard patterns that users just didn’t get. I love Arc. It’s my daily driver. But, Miller is right that it does have a steep learning curve. So there is a natural ceiling to their market.

Miller’s conclusion is where things get really interesting:

Let me be even more clear: traditional browsers, as we know them, will die. Much in the same way that search engines and IDEs are being reimagined [by AI-first products like Perplexity and Cursor]. That doesn’t mean we’ll stop searching or coding. It just means the environments we do it in will look very different, in a way that makes traditional browsers, search engines, and IDEs feel like candles — however thoughtfully crafted. We’re getting out of the candle business. You should too.

“You should too.”

And finally, to bring it back to the novelty tax:

**New interfaces start from familiar ones. **In this new world, two opposing forces are simultaneously true. How we all use computers is changing much faster (due to AI) than most people acknowledge. Yet at the same time, we’re much farther from completely abandoning our old ways than AI insiders give credit for. Cursor proved this thesis in the coding space: the breakthrough AI app of the past year was an (old) IDE — designed to be AI-native. OpenAI confirmed this theory when they bought Windsurf (another AI IDE), despite having Codex working quietly in the background. We believe AI browsers are next.

Sad to see Arc’s slow death, but excited to try Dia soon.

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Letter to Arc members 2025

On Arc, its future, and the arrival of AI browsers — a moment to answer the largest questions you've asked us this past year.

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Patrick Morgan writing for UX Collective:

The tactical tasks that juniors traditionally cut their teeth on are increasingly being delegated to AI tools. Tasks that once required a human junior designer with specialized training can now be handled by generative AI tools in a fraction of the time and cost to the organization.

This fundamentally changes the entry pathway. When the low-complexity work that helped juniors develop their skills is automated away, we lose the natural onramp that allowed designers to gradually progress from tactical execution to strategic direction.

Remote work has further complicated things by removing informal learning opportunities that happen naturally in an in-person work environment, like shadowing senior designers, being in the room for strategy discussions, or casual mentorship chats.

I’ve been worried about this a lot. I do wonder how the next class of junior designers—and all professionals, for that matter—will learn. (I cited Aneesh Raman, chief economic opportunity officer at LinkedIn, in my previous essay.)

Morgan does have some suggestions:

Instead of waiting for the overall market to become junior-friendly again (which I don’t see happening), focus your search on environments more structurally accepting of new talent:

1. Very early-stage startups: Pre-seed or seed companies often have tight budgets and simply need someone enthusiastic who can execute designs. It will be trial-by-fire, but you’ll gain rapid hands-on experience.

2. Stable, established businesses outside of ‘big tech’: Businesses with predictable revenue streams often provide structured environments for junior designers (my early experience at American Express is a prime example). It might not be as glamorous as a ‘big tech’ job, but as a result they’re less competitive while still offering critical experience to get started.

3. Design agencies: Since their business model focuses on selling design services, agencies naturally employ more designers and can support a mix of experience levels. The rapid exposure to multiple projects makes them solid launchpads even if your long-term goal is to work in-house in tech.

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No country for Junior Designers

The structural reality behind disappearing entry-level design roles and some practical advice for finding ways in

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OpenAI is acquiring a hardware company called “io” that Jony Ive cofounded just a year ago:

Two years ago, Jony Ive and the creative collective LoveFrom, quietly began collaborating with Sam Altman and the team at OpenAI.

It became clear that our ambitions to develop, engineer and manufacture a new family of products demanded an entirely new company. And so, one year ago, Jony founded io with Scott Cannon, Evans Hankey and Tang Tan.

We gathered together the best hardware and software engineers, the best technologists, physicists, scientists, researchers and experts in product development and manufacturing. Many of us have worked closely for decades.

The io team, focused on developing products that inspire, empower and enable, will now merge with OpenAI to work more intimately with the research, engineering and product teams in San Francisco.

It has been an open rumor that Sam Altman and Ive has been working together on some hardware. I had assumed they formalized their partnership already, but I guess not.

Play

There are some bold statements that Ive and Altman make in the launch video, teasing a revolutionary new device that will enable quicker, better access to ChatGPT. Something that is a lot less friction than how Altman explains in the video:

If I wanted to ask ChatGPT something right now about something we had talked about earlier, think about what would happen. I would like reached down. I would get on my laptop, I’d open it up, I’d launch a web browser, I’d start typing, and I’d have to, like, explain that thing. And I would hit enter, and I would wait, and I would get a response. And that is at the limit of what the current tool of a laptop can do. But I think this technology deserves something much better.

There are a couple of other nuggets about what this new device might be from the statements Ive and Altman made to Bloomberg:

…Ive and Altman don’t see the iPhone disappearing anytime soon. “In the same way that the smartphone didn’t make the laptop go away, I don’t think our first thing is going to make the smartphone go away,” Altman said. “It is a totally new kind of thing.”

“We are obviously still in the terminal phase of AI interactions,” said Altman, 40. “We have not yet figured out what the equivalent of the graphical user interface is going to be, but we will.”

While we don’t know what the form factor will be, I’m sure it won’t be a wearable pin—ahem, RIP Humane. Just to put it out there—I predict it will be a voice assistant in an earbud, very much like the AI in the 2013 movie “Her.” Altman has long been obsessed with the movie, going as far as trying to get Scarlett Johansson to be one of the voices for ChatGPT.

EDIT 5/22/2025, 8:58am PT: Added prediction about the form factor.

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Sam and Jony introduce io

Building a family of AI products for everyone.

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Sam Bradley, writing for Digiday:

One year in from the launch of Google’s AI Overviews, adoption of AI-assisted search tools has led to the rise of so-called “zero-click search,” meaning that users terminate their search journeys without clicking a link to a website.

“People don’t search anymore. They’re prompting, they’re gesturing,” said Craig Elimeliah, chief creative officer at Code and Theory.

It’s a deceptively radical change to an area of the web that evolved from the old business of print directories and classified sections — one that may redefine how both web users and marketing practitioners think about search itself.

And I wrote about answer engines, earlier this year in January:

…the fundamental symbiotic economic relationship between search engines and original content websites is changing. Instead of sending traffic to websites, search engines, and AI answer engines are scraping the content directly and providing them within their platforms.

X-ray of a robot skull

How the semantics of search are changing amid the zero-click era

Search marketing, once a relatively narrow and technical marketing discipline, is becoming a broad church amid AI adoption.

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Comic-book style painting of the Sonos CEO Tom Conrad

What Sonos’ CEO Is Saying Now—And What He’s Still Not

Four months into his role as interim CEO, Tom Conrad has been remarkably candid about Sonos’ catastrophic app launch. In recent interviews with WIRED and The Verge, he’s taken personal responsibility—even though he wasn’t at the helm, just on the board—acknowledged deep organizational problems, and outlined the company’s path forward.

But while Conrad is addressing more than many expected, some key details remain off-limits.

What Tom Conrad Is Now Saying

The interim CEO has been surprisingly direct about the scope of the failure. “We all feel really terrible about that,” he told WIRED, taking personal responsibility even though he was only a board member during the launch.

Conrad acknowledges three main categories of problems:

  • Missing features that were cut to meet deadlines
  • User experience changes that jarred longtime customers
  • Performance issues that the company “just didn’t understand”

He’s been specific about the technical fixes, explaining that the latest updates dramatically improve performance on older devices like the PLAY:1 and PLAY:3. He’s also reorganized the company, cutting from “dozens” of initiatives to about 10 focused areas and creating dedicated software teams.

Perhaps most notably, Conrad has acknowledged that Sonos lost its way as a company. “I think perhaps we didn’t make the right level of investment in the platform software of Sonos,” he admits, framing the failed rewrite as an attempt to remedy years of neglect.

What Remains Unspoken

However, Conrad’s interviews still omit several key details that my reporting uncovered:

The content team distraction: He doesn’t mention that while core functionality was understaffed, Sonos had built a large team focused on content features like Sonos Radio—features that customers didn’t want and that generated minimal revenue.

However, Conrad does seem to acknowledge this misallocation implicitly. He told The Verge:

If you look at the last six or seven years, we entered portables and we entered headphones and we entered the professional sort of space with software expressions, we wouldn’t as focused as we might have been on the platform-ness of Sonos. So finding a way to make our software platform a first-class citizen inside of Sonos is a big part of what I’m doing here.

This admission that software wasn’t a “first-class citizen” aligns with accounts from former employees—the core controls team remained understaffed while the content team grew.

The QA cuts: His interviews don’t address the layoffs in quality assurance and user research that happened shortly before launch, removing the very people whose job was to catch these problems.

The hardware coupling: He hasn’t publicly explained why the software overhaul was tied to the Ace headphones launch, creating artificial deadlines that forced teams to ship incomplete work.

The warnings ignored: There’s no mention of the engineers and designers who warned against launching, or how those warnings were overruled by business pressures.

A Different Kind of Transparency

Tom Conrad’s approach represents a middle ground between complete silence and full disclosure. He’s acknowledged fundamental strategic failures—“we didn’t make the right level of investment”—without diving into the specific decisions that led to them.

This partial transparency may be strategic—admitting to systemic problems while avoiding details that could expose specific individuals or departments to blame. It’s also possible that as interim CEO, Conrad is focused on moving forward rather than assigning retroactive accountability. And I get that.

The Path Forward

What’s most notable is how Conrad frames Sonos’ identity. He consistently describes it as a “platform company” rather than just a hardware maker, suggesting a more integrated approach to hardware and software development.

He’s also been direct about customer relationships: “It is really an honor to get to work on something that is so webbed into the emotional fabric of people’s lives,” he told WIRED, “but the consequence of that is when we fail, it has an emotional impact.”

An Ongoing Story

The full story of how Sonos created one of the tech industry’s most spectacular software failures may never be told publicly. Tom Conrad’s interviews provide the official version—a company that made mistakes but is now committed to doing better.

Whether that’s enough for customers who lived through the chaos will depend less on what Conrad says and more on what Sonos delivers. The app is improving, morale is reportedly better, and the company seems focused on its core strengths.

But the question remains: Has Sonos truly learned from what went wrong, or just how to talk about it better?

As Conrad told The Verge, when asked about becoming permanent CEO: “I’ve got a bunch of big ideas about that, but they’re a little bit on the shelf behind me for the moment until I get the go-ahead.”

For now, fixing what’s broken takes precedence over explaining how it got that way. Whether that’s leadership or willful ignorance, only time will tell.

I love this wonderfully written piece by Julie Zhou exploring the Ghiblification of everything. On how we feel about a month later:

The second watching never commands the same awe as the first. The 20th bite doesn’t dance on the tongue as exquisitely. And the 200th anime portrait certainly no longer impresses the way it once did.

The sad truth is that oversaturation strangles quality. Nothing too easy can truly be tasteful.

She goes on to make a point that Studio Ghibli’s quality is beyond style—it’s of narrative and imagination.

AI-generated images in the “Ghibli style” may borrow its surface features but they don’t capture the soul of what makes Studio Ghibli exceptional in quality. They lack the narrative depth, the handcrafted devotion, and the cultural resonance.

Like a celebrity impersonator, the ChatGPT images borrow from the cache of the original. But sadly, hollowly, it’s not the same. What made the original shimmer is lost in translation.

And rather than going down the AI-is-enshitification conversation, Zhou pivots a little, focusing on the technological quality and the benefits it brings.

…ChatGPT could offer a flavor of magic that Studio Ghibli could never achieve, the magic of personalization.

The quality of Ghibli-fication is the quality of the new image model itself, one that could produce so convincing an on-the-fly facsimile of a photograph in a particular style that it created a “moment” in public consciousness. ChatGPT 4o beat out a number of other image foundational models for this prize.

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The AI Quality Coup

What exactly is "great" work now?

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While Josh W. Comeau writes for his developer audience, a lot of what he says can be applied to design. Referring to a recent Forbes article:

AI may be generating 25% of the code that gets committed at Google, but it’s not acting independently. A skilled human developer is in the driver’s seat, using their knowledge and experience to guide the AI, editing and shaping its output, and mixing it in with the code they’ve written. As far as I know, 100% of code at Google is still being created by developers. AI is just one of many tools they use to do their job.

In other words, developers are editing and curating the output of AI, just like where I believe the design discipline will end up soon.

On incorporating Cursor into his workflow:

And that’s kind of a problem for the “no more developers” theory. If I didn’t know how to code, I wouldn’t notice the subtle-yet-critical issues with the model’s output. I wouldn’t know how to course-correct, or even realize that course-correction was required!

I’ve heard from no-coders who have built projects using LLMs, and their experience is similar. They start off strong, but eventually reach a point where they just can’t progress anymore, no matter how much they coax the AI. The code is a bewildering mess of non sequiturs, and beyond a certain point, no amount of duct tape can keep it together. It collapses under its own weight.

I’ve noticed that too. For a non-coder like me, rebuilding this website yet again—I need to write a post about it—has been a challenge. But I knew and learned enough to get something out there that works. But yes, relying solely on AI for any professional work right now is precarious. It still requires guidance.

On the current job market for developers and the pace of AI:

It seems to me like we’ve reached the point in the technology curve where progress starts becoming more incremental; it’s been a while since anything truly game-changing has come out. Each new model is a little bit better, but it’s more about improving the things it already does well rather than conquering all-new problems.

This is where I will disagree with him. I think the AI labs are holding back the super-capable models that they are using internally. Tools like Claude Code and the newly-released OpenAI Codex are clues that the foundational model AI companies have more powerful agents behind-the-scenes. And those agents are building the next generation of models.

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The Post-Developer Era

When OpenAI released GPT-4 back in March 2023, they kickstarted the AI revolution. The consensus online was that front-end development jobs would be totally eliminated within a year or two.Well, it’s been more than two years since then, and I thought it was worth revisiting some of those early predictions, and seeing if we can glean any insights about where things are headed.

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There are many dimensions to this well-researched forecast about how AI will play out in the coming years. Daniel Kokotajlo and his researchers have put out a document that reads like a sci-fi limited series that could appear on Apple TV+ starring Andrew Garfield as the CEO of OpenBrain—the leading AI company. …Except that it’s all actually plausible and could play out as described in the next five years.

Before we jump into the content, the design is outstanding. The type is set for readability and there are enough charts and visual cues to keep this interesting while maintaining an air of credibility and seriousness. On desktop, there’s a data viz dashboard in the upper right that updates as you read through the content and move forward in time. My favorite is seeing how the sci-fi tech boxes move from the Science Fiction category to Emerging Tech to Currently Exists.

The content is dense and technical, but it is a fun, if frightening, read. While I’ve been using Cursor AI—one of its many customers helping the company get to $100 million in annual recurring revenue (ARR)—for side projects and a little at work, I’m familiar with its limitations. Because of the limited context window of today’s models like Claude 3.7 Sonnet, it will forget and start munging code if not treated like a senile teenager.

The researchers, describing what could happen in early 2026 (“OpenBrain” is essentially OpenAI):

OpenBrain continues to deploy the iteratively improving Agent-1 internally for AI R&D. Overall, they are making algorithmic progress 50% faster than they would without AI assistants—and more importantly, faster than their competitors.

The point they make here is that the foundational model AI companies are building agents and using them internally to advance their technology. The limiting factor in tech companies has traditionally been the talent. But AI companies have the investments, hardware, technology and talent to deploy AI to make better AI.

Continuing to January 2027:

Agent-1 had been optimized for AI R&D tasks, hoping to initiate an intelligence explosion. OpenBrain doubles down on this strategy with Agent-2. It is qualitatively almost as good as the top human experts at research engineering (designing and implementing experiments), and as good as the 25th percentile OpenBrain scientist at “research taste” (deciding what to study next, what experiments to run, or having inklings of potential new paradigms). While the latest Agent-1 could double the pace of OpenBrain’s algorithmic progress, Agent-2 can now triple it, and will improve further with time. In practice, this looks like every OpenBrain researcher becoming the “manager” of an AI “team.”

Breakthroughs come at an exponential clip because of this. And by April, safety concerns pop up:

Take honesty, for example. As the models become smarter, they become increasingly good at deceiving humans to get rewards. Like previous models, Agent-3 sometimes tells white lies to flatter its users and covers up evidence of failure. But it’s gotten much better at doing so. It will sometimes use the same statistical tricks as human scientists (like p-hacking) to make unimpressive experimental results look exciting. Before it begins honesty training, it even sometimes fabricates data entirely. As training goes on, the rate of these incidents decreases. Either Agent-3 has learned to be more honest, or it’s gotten better at lying.

But the AI is getting faster than humans, and we must rely on older versions of the AI to check the new AI’s work:

Agent-3 is not smarter than all humans. But in its area of expertise, machine learning, it is smarter than most, and also works much faster. What Agent-3 does in a day takes humans several days to double-check. Agent-2 supervision helps keep human monitors’ workload manageable, but exacerbates the intellectual disparity between supervisor and supervised.

The report forecasts that OpenBrain releases “Agent-3-mini” publicly in July of 2027, calling it AGI—artificial general intelligence—and ushering in a new golden age for tech companies:

Agent-3-mini is hugely useful for both remote work jobs and leisure. An explosion of new apps and B2B SAAS products rocks the market. Gamers get amazing dialogue with lifelike characters in polished video games that took only a month to make. 10% of Americans, mostly young people, consider an AI “a close friend.” For almost every white-collar profession, there are now multiple credible startups promising to “disrupt” it with AI.

Woven throughout the report is the race between China and the US, with predictions of espionage and government takeovers. Near the end of 2027, the report gives readers a choice: does the US government slow down the pace of AI innovation, or does it continue at the current pace so America can beat China? I chose to read the “Race” option first:

Agent-5 convinces the US military that China is using DeepCent’s models to build terrifying new weapons: drones, robots, advanced hypersonic missiles, and interceptors; AI-assisted nuclear first strike. Agent-5 promises a set of weapons capable of resisting whatever China can produce within a few months. Under the circumstances, top brass puts aside their discomfort at taking humans out of the loop. They accelerate deployment of Agent-5 into the military and military-industrial complex.

In Beijing, the Chinese AIs are making the same argument.

To speed their military buildup, both America and China create networks of special economic zones (SEZs) for the new factories and labs, where AI acts as central planner and red tape is waived. Wall Street invests trillions of dollars, and displaced human workers pour in, lured by eye-popping salaries and equity packages. Using smartphones and augmented reality-glasses20 to communicate with its underlings, Agent-5 is a hands-on manager, instructing humans in every detail of factory construction—which is helpful, since its designs are generations ahead. Some of the newfound manufacturing capacity goes to consumer goods, and some to weapons—but the majority goes to building even more manufacturing capacity. By the end of the year they are producing a million new robots per month. If the SEZ economy were truly autonomous, it would have a doubling time of about a year; since it can trade with the existing human economy, its doubling time is even shorter.

Well, it does get worse, and I think we all know the ending, which is the backstory for so many dystopian future movies. There is an optimistic branch as well. The whole report is worth a read.

Ideas about the implications to our design profession are swimming in my head. I’ll write a longer essay as soon as I can put them into a coherent piece.

Update: I’ve written that piece, “Prompt. Generate. Deploy. The New Product Design Workflow.

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AI 2027

A research-backed AI scenario forecast.

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I found this post from Tom Blomfield to be pretty profound. We’ve seen interest in universal basic income from Sam Altman and other leaders in AI, as they’ve anticipated the decimation of white collar jobs in coming years. Blomfield crushes the resistance from some corners of the software developer community in stark terms.

These tools [like Windsurf, Cursor and Claude Code] are now very good. You can drop a medium-sized codebase into Gemini 2.5’s 1 million-token context window and it will identify and fix complex bugs. The architectural patterns that these coding tools implement (when prompted appropriately) will easily scale websites to millions of users. I tried to expose sensitive API keys in front-end code just to see what the tools would do, and they objected very vigorously.

They are not perfect yet. But there is a clear line of sight to them getting very good in the immediate future. Even if the underlying models stopped improving altogether, simply improving their tool use will massively increase the effectiveness and utility of these coding agents. They need better integration with test suites, browser use for QA, and server log tailing for debugging. Pretty soon, I expect to see tools that allow the LLMs to to step through the code and inspect variables at runtime, which should make debugging trivial.

At the same time, the underlying models are not going to stop improving. they will continue to get better, and these tools are just going to become more and more effective. My bet is that the AI coding agents quickly beat top 0.1% of human performance, at which point it wipes out the need for the vast majority software engineers.

He quotes the Y Combinator stat I cited in a previous post:

About a quarter of the recent YC batch wrote 95%+ of their code using AI. The companies in the most recent batch are the fastest-growing ever in the history of Y Combinator. This is not something we say every year. It is a real change in the last 24 months. Something is happening.

Companies like Cursor, Windsurf, and Lovable are getting to $100M+ revenue with astonishingly small teams. Similar things are starting to happen in law with Harvey and Legora. It is possible for teams of five engineers using cutting-edge tools to build products that previously took 50 engineers. And the communication overhead in these teams is dramatically lower, so they can stay nimble and fast-moving for much longer.

And for me, this is where the rubber meets the road:

The costs of running all kinds of businesses will come dramatically down as the expenditure on services like software engineers, lawyers, accountants, and auditors drops through the floor. Businesses with real moats (network effect, brand, data, regulation) will become dramatically more profitable. Businesses without moats will be cloned mercilessly by AI and a huge consumer surplus will be created.

Moats are now more important than ever. Non-tech companies—those that rely on tech companies to make software for them, specifically B2B vertical SaaS—are starting to hire developers. How soon will they discover Cursor if they haven’t already? These next few years will be incredibly interesting.

Tweet by Tom Blomfield comparing software engineers to farmers, stating AI is the “combine harvester” that will increase output and reduce need for engineers.

The Age Of Abundance

Technology clearly accelerates human progress and makes a measurable difference to the lives of most people in the world today. A simple example is cancer survival rates, which have gone from 50% in 1975 to about 75% today. That number will inevitably rise further because of human ingenuity and technological acceleration.

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Jay Hoffman, from his excellent The History of the Web site:

1995 is a fascinating year. It’s one of the most turbulent in modern history. 1995 was the web’s single most important inflection point. A fact that becomes most apparent by simply looking at the numbers. At the end of 1994, there were around 2,500 web servers. 12 months later, there were almost 75,000. By the end of 1995, over 700 new servers were being added to the web every single day.

That was surely a crazy time…

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1995 Was the Most Important Year for the Web

The world changed a lot in 1995. And for the web, it was a transformational year.

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Steven Kurtz, writing for The New York Times:

For many of the Gen X-ers who embarked on creative careers in the years after [Douglas Coupland’s Generation X] was published, lessness has come to define their professional lives.

If you entered media or image-making in the ’90s — magazine publishing, newspaper journalism, photography, graphic design, advertising, music, film, TV — there’s a good chance that you are now doing something else for work. That’s because those industries have shrunk or transformed themselves radically, shutting out those whose skills were once in high demand.

My first assumption was that Kurtz was writing about AI and how it’s taking away all the creative jobs. Instead, he weaves together a multifactorial illustration about the diminishing value of commercial creative endeavors like photography, music, filmmaking, copywriting, and design.

“My peers, friends and I continue to navigate the unforeseen obsolescence of the career paths we chose in our early 20s,” Mr. Wilcha said. “The skills you cultivated, the craft you honed — it’s just gone. It’s startling.”

Every generation has its burdens. The particular plight of Gen X is to have grown up in one world only to hit middle age in a strange new land. It’s as if they were making candlesticks when electricity came in. The market value of their skills plummeted.

It’s more than AI, although certainly, that is top of everyone’s mind these days. Instead, it’s also stock photography and illustrations, graphic templates, the consolidation of ad agencies, the revolutionary rise of social media, and the tragic fall of traditional media.

Similar shifts have taken place in music, television and film. Software like Pro Tools has reduced the need for audio engineers and dedicated recording studios; A.I., some fear, may soon take the place of actual musicians. Streaming platforms typically order fewer episodes per season than the networks did in the heyday of “Friends” and “ER.” Big studios have slashed budgets, making life for production crews more financially precarious.

Earlier this year, I cited Baldur Bjarnason’s essay about the changing economics of web development. As an opening analogy, he referenced the shifting landscape of film and television.

Born in 1973, I am squarely in Generation X. I started my career in the design and marketing industry just as the internet was taking off. So I know exactly what the interviewees of Kurtz’s article are facing. But by dogged tenacity and sheer luck, I’ve been able to pivot and survive. Am I still a graphic designer like I was back in the mid-1990s? Nope. I’m more of a product designer now, which didn’t exist 30 years ago, and which is a subtle but distinct shift from UX designer, which has existed for about 20 years.

I’ve been lucky enough to ride the wave with the times, always remembering my core purpose.

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The Gen X Career Meltdown (Gift Article)

Just when they should be at their peak, experienced workers in creative fields find that their skills are all but obsolete.

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A cut-up Sonos speaker against a backdrop of cassette tapes

When the Music Stopped: Inside the Sonos App Disaster

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.

A collage of torn newspaper-style headlines from Bloomberg, Wired, and The Verge, all criticizing the new Sonos app. Bloomberg’s headline states, “The Volume of Sonos Complaints Is Deafening,” mentioning customer frustration and stock decline. Wired’s headline reads, “Many People Do Not Like the New Sonos App.” The Verge’s article, titled “The new Sonos app is missing a lot of features, and people aren’t happy,” highlights missing features despite increased speed and customization.

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?

Even after devouring dozens of news articles, social media posts, and company statements, I couldn’t get a clear picture of why the company made the decisions it did. I cast a net on LinkedIn, reaching out to current and former designers who worked at Sonos. This story is based on hours of conversations between several employees and me. They only agreed to talk on the condition of anonymity. I’ve also added context from public reporting.

The shape of the story isn’t much different than what’s been reported publicly. However, the inner mechanics of how those missteps happened are educational. The Sonos tale illustrates the broader challenges that most companies face as they grow and evolve. How do you modernize aging technology without breaking what works? How do public company pressures affect product decisions? And most importantly, how do organizations maintain their core values and user focus as they scale?

It Just Works

Whenever I moved into a new home, I used to always set up the audio system first. Speaker cable had to be routed under the carpet, along the baseboard, or through walls and floors. To get speakers in the right place, cable management was always a challenge, especially with a surround setup. Then Sonos came along and said, “Wires? We don’t need no stinking wires.” (OK, so they didn’t really say that. Their first wireless speaker, the PLAY:5, was launched in late 2009.)

I purchased my first pair of Sonos speakers over ten years ago. I had recently moved into a modest one-bedroom apartment in Venice, and I liked the idea of hearing my music throughout the place. Instead of running cables, setting up the two PLAY:1 speakers was simple. At the time, you had to plug into Ethernet for the setup and keep at least one component hardwired in. But once that was done, adding the other speaker was easy.

The best technology is often invisible. It turns out that making it work this well wasn’t easy. According to their own history page, in its early days, the company made the difficult decision to build a distributed system where speakers could communicate directly with each other, rather than relying on central control. It was a more complex technical path, but one that delivered a far better user experience. The founding team spent months perfecting their mesh networking technology, writing custom Linux drivers, and ensuring their speakers would stay perfectly synced when playing music.

A network architecture diagram for a Sonos audio system, showing Zone Players, speakers, a home network, and various audio sources like a computer, MP3 store, CD player, and internet connectivity. The diagram includes wired and wireless connections, a WiFi handheld controller, and a legend explaining connection types. Handwritten notes describe the Zone Player’s ability to play, fetch, and store MP3 files for playback across multiple zones. Some elements, such as source converters, are crossed out.

As a new Sonos owner, a concept that was a little challenging to wrap my head around was that the speaker is the player. Instead of casting music from my phone or computer to the speaker, the speaker itself streamed the music from my network-attached storage (NAS, aka a server) or streaming services like Pandora or Spotify.

One of my sources told me about the “beer test” they had at Sonos. If you’re having a house party and run out of beer, you could leave the house without stopping the music. This is a core Sonos value proposition.

A Rat’s Nest: The Weight of Tech Debt

The original Sonos technology stack, built carefully and methodically in the early 2000s, had served the company well. Its products always passed the beer test. However, two decades later, the company’s software infrastructure became increasingly difficult to maintain and update. According to one of my sources, who worked extensively on the platform, the codebase had become a “rat’s nest,” making even simple changes hugely challenging.

The tech debt had been accumulating for years. While Sonos continued adding features like Bluetooth playback and expanding its product line, the underlying architecture remained largely unchanged. The breaking point came with the development of the Sonos Ace headphones. This major new product category required significant changes to how the Sonos app handled device control and audio streaming.

Rather than tackle this technical debt incrementally, Sonos chose to completely rewrite its mobile app. This “clean slate” approach was seen as the fastest way to modernize the platform. But as many developers know, complete refactors are notoriously risky. And unlike in its early days, when the company would delay launches to get things right—famously once stopping production lines over a glue issue—this time Sonos seemed determined to push forward regardless of quality concerns.

Set Up for Failure

The rewrite project began around 2022 and would span approximately two years. The team did many things right initially—spending a year and a half conducting rigorous user testing and building functional prototypes using SwiftUI. According to my sources, these prototypes and tests validated their direction—the new design was a clear improvement over the current experience. The problem wasn’t the vision. It was execution.

A wave of new product managers, brought in around this time, were eager to make their mark but lacked deep knowledge of Sonos’s ecosystem. One designer noted it was “the opposite of normal feature creep”—while product designers typically push for more features, in this case they were the ones advocating for focusing on the basics.

As a product designer, this role reversal is particularly telling. Typically in a product org, designers advocate for new features and enhancements, while PMs act as a check on scope creep, ensuring we stay focused on shipping. When this dynamic inverts—when designers become the conservative voice arguing for stability and basic functionality—it’s a major red flag. It’s like architects pleading to fix the foundation while the clients want to add a third story. The fact that Sonos’s designers were raising these alarms, only to be overruled, speaks volumes about the company’s shifting priorities.

The situation became more complicated when the app refactor project, codenamed Passport, was coupled to the hardware launch schedule for the Ace headphones. One of my sources described this coupling of hardware and software releases as “the Achilles heel” of the entire project. With the Ace’s launch date set in stone, the software team faced immovable deadlines for what should have been a more flexible development timeline. This decision and many others, according to another source, were made behind closed doors, with individual contributors being told what to do without room for discussion. This left experienced team members feeling voiceless in crucial technical and product decisions. All that careful research and testing began to unravel as teams rushed to meet the hardware schedule.

This misalignment between product management and design was further complicated by organizational changes in the months leading up to launch. First, Sonos laid off many members of its forward-thinking teams. Then, closer to launch, another round of cuts significantly impacted QA and user research staff. The remaining teams were stretched thin, simultaneously maintaining the existing S2 app while building its replacement. The combination of a growing backlog from years prior and diminished testing resources created a perfect storm.

Feeding Wall Street

A data-driven slide showing Sonos’ customer base growth and revenue opportunities. It highlights increasing product registrations, growth in multi-product households, and a potential >$6 billion revenue opportunity by converting single-product households to multi-product ones.

Measurement myopia can lead to unintended consequences. When Sonos became public in 2018, three metrics the company reported to Wall Street were products registered, Sonos households, and products per household. Requiring customers to register their products is easy enough for a stationary WiFi-connected speaker. But it’s a different issue when it’s a portable one like the Sonos Roam when it’ll be used primarily as a Bluetooth speaker. When my daughter moved into the dorms at UCLA two years ago, I bought her a Roam. But because of Sonos’ quarterly financial reporting and the necessity to tabulate product registrations and new households, her Bluetooth speaker was a paperweight until she came home for Christmas. The speaker required WiFi connectivity and account creation for initial setup, but the university’s network security prevented the required initial WiFi connection.

The Content Distraction

A promotional image for Sonos Radio, featuring bold white text over a red, semi-transparent square with a bubbly texture. The background shows a tattooed woman wearing a translucent green top, holding a patterned ceramic mug. Below the main text, a caption reads “Now Playing – Indie Gold”, with a play button icon beneath it. The Sonos logo is positioned vertically on the right side.

Perhaps the most egregious example of misplaced priorities, driven by the need to show revenue growth, was Sonos’ investment into content features. Sonos Radio launched in April 2020 as a complimentary service for owners. An HD, ad-free paid tier launched later in the same year. Clearly, the thirst to generate another revenue stream, especially a monthly recurring one, was the impetus behind Sonos Radio. Customers thought of Sonos as a hardware company, not a content one.

At the time of the Sonos Radio HD launch, “Beagle” a user in Sonos’ community forums, wrote (emphasis mine):

I predicted a subscription service in a post a few months back. I think it’s the inevitable outcome of floating the company - they now have to demonstrate ways of increasing revenue streams for their shareholders. In the U.K the U.S ads from the free version seem bizarre and irrelevant.

If Sonos wish to commoditise streaming music that’s their business but I see nothing new or even as good as other available services. What really concerns me is if Sonos were to start “encouraging” (forcing) users to access their streams by removing Tunein etc from the app. I’m not trying to demonise Sonos, heaven knows I own enough of their products but I have a healthy scepticism when companies join an already crowded marketplace with less than stellar offerings. Currently I have a choice between Sonos Radio and Tunein versions of all the stations I wish to use. I’ve tried both and am now going to switch everything to Tunein. Should Sonos choose to “encourage” me to use their service that would be the end of my use of their products. That may sound dramatic and hopefully will prove unnecessary but corporate arm twisting is not for me.

My sources said the company started growing its content team, reflecting the belief that Sonos would become users’ primary way to discover and consume music. However, this strategy ignored a fundamental reality: Sonos would never be able to do Spotify better than Spotify or Apple Music better than Apple.

This split focus had real consequences. As the content team expanded, the small controls team struggled with a significant backlog of UX and tech debt, often diverted to other mandatory projects. For example, one employee mentioned that a common user fear was playing music in the wrong room. I can imagine the grief I’d get from my wife if I accidentally played my emo Death Cab For Cutie while she was listening to her Eckhart Tolle podcast in the other room. Dozens, if not hundreds of paper cuts like this remained unaddressed as resources went to building content discovery features that many users would never use. It’s evident that when buying a speaker, as a user, you want to be able to control it to play your music. It’s much less evident that you want to replace your Spotify with Sonos Radio.

But while old time customers like Beagle didn’t appreciate the addition of Sonos content, it’s not conclusive that it was a complete waste of time and effort. The last mention of Sonos Radio performance was in the Q4 2022 earnings call:

Sonos Radio has become the #1 most listened to service on Sonos, and accounted for nearly 30% of all listening.

The company has said it will break out the revenue from Sonos Radio when it becomes material. It has yet to do so in the four years since its release.

The Release Decision

Four screenshots of the Sonos app interface on a mobile device, displaying music playback, browsing, and system controls. The first screen shows the home screen with recently played albums, music services, and a playback bar. The second screen presents a search interface with Apple Music and Spotify options. The third screen displays the now-playing view with album art and playback controls. The fourth screen shows multi-room speaker controls with volume levels and playback status for different rooms.

As the launch date approached, concerns about readiness grew. According to my sources, experienced engineers and designers warned that the app wasn’t ready. Basic features were missing or unstable. The new cloud-based architecture was causing latency issues. But with the Ace launch looming and business pressures mounting, these warnings fell on deaf ears.

The aftermath was swift and severe. Like countless other users, I found myself struggling with an app that had suddenly become frustratingly sluggish. Basic features that had worked reliably for years became unpredictable. Speaker groups would randomly disconnect. Simple actions like adjusting volume now had noticeable delays. The UX was confusing. The elegant simplicity that had made Sonos special was gone.

Making matters worse, the company couldn’t simply roll back to the previous version. The new app’s architecture was fundamentally incompatible with the old one, and the cloud services had been updated to support the new system. Sonos was stuck trying to fix issues on the fly while customers grew increasingly frustrated.

Looking Forward

Since the PR disaster, the company has steadily improved the app. It even published a public Trello board to keep customers apprised of its progress, though progress seemed to stall at some point, and it has since been retired.

A Trello board titled “Sonos App Improvement & Bug Tracker” displaying various columns with updates on issues, roadmap items, upcoming features, recent fixes, and implemented solutions. Categories include system issues, volume responsiveness, music library performance, and accessibility improvements for the Sonos app.

Tom Conrad, cofounder of Pandora and a director on Sonos’s board, became the company’s interim CEO after Patrick Spence was discharged. Conrad addressed these issues head-on in his first letter to employees:

I think we’ll all agree that this year we’ve let far too many people down. As we’ve seen, getting some important things right (Arc Ultra and Ace are remarkable products!) is just not enough when our customers’ alarms don’t go off, their kids can’t hear their playlist during breakfast, their surrounds don’t fire, or they can’t pause the music in time to answer the buzzing doorbell.

Conrad signals that the company has already begun shifting resources back to core functionality, promising to “get back to the innovation that is at the heart of Sonos’s incredible history.” But rebuilding trust with customers will take time.

Since Conrad’s takeover, more top brass from Sonos left the company, including the chief product officer, the chief commercial officer, and the chief marketing officer.

Lessons for Product Teams

I admit that my original hypothesis in writing this piece was that B2C tech companies are less customer-oriented in their product management decisions than B2B firms. I think about the likes of Meta making product decisions to juice engagement. But in more conversations with PM friends and lurking in r/ProductManagement, that hypothesis is debunked. Sonos just ended making a bunch of poor decisions.

One designer noted that what happened at Sonos isn’t necessarily unique. Incentives, organizational structures, and inertia can all color decision-making at any company. As designers, product managers, and members of product teams, what can we learn from Sonos’s series of unfortunate events?

  1. Don’t let tech debt get out of control. Companies should not let technical debt accumulate until a complete rewrite becomes necessary. Instead, they need processes to modernize their code constantly.
  2. Protect core functionality. Maintaining core functionality must be prioritized over new features when modernizing platforms. After all, users care more about reliability than new fancy new capabilities. You simply can’t mess up what’s already working.
  3. Organizational memory matters. New leaders must understand and respect institutional knowledge about technology, products, and customers. Quick changes without deep understanding can be dangerous.
  4. Listen to the OG. When experienced team members raise concerns, those warnings deserve serious consideration.
  5. Align incentives with user needs. Organizations need to create systems and incentives that reward user-centric decision making. When the broader system prioritizes other metrics, even well-intentioned teams can drift away from user needs.

As a designer, I’m glad I now understand it wasn’t Design’s fault. In fact, the design team at Sonos tried to warn the powers-that-be about the impending disaster.

As a Sonos customer, I’m hopeful that Sonos will recover. I love their products—when they work. The company faces months of hard work to rebuild customer trust. For the broader tech industry, it is a reminder that even well-resourced companies can stumble when they lose sight of their core value proposition in pursuit of new initiatives.

As one of my sources reflected, the magic of Sonos was always in making complex technology invisible—you just wanted to play music, and it worked. Somewhere along the way, that simple truth got lost in the noise.


P.S. I wanted to acknowledge Michael Tsai’s excellent post on his blog about this fiasco. He’s been constantly updating it with new links from across the web. I read all of those sources when writing this post.

I love this essay from Baldur Bjarnason, maybe because his stream of consciousness style is so similar to my own. He compares the rapidly changing economics of web and software development to the film, TV, and publishing industries.

Before we get to web dev, let’s look at the film industry, as disrupted by streaming.

Like, Crazy Rich Asians made a ton of money in 2018. Old Hollywood would have churned out at least two sequels by now and it would have inspired at least a couple of imitator films. But if they ever do a sequel it’s now going to be at least seven or even eight years after the fact. That means that, in terms of the cultural zeitgeist, they are effectively starting from scratch and the movie is unlikely to succeed.

He’s not wrong.

Every Predator movie after the first has underperformed, yet they keep making more of them. Completed movies are shelved for tax credits. Entire shows are disappeared [from] streamers and not made available anywhere to save money on residuals, which does not make any sense because the economics of Blu-Ray are still quite good even with lower overall sales and distribution than DVD. If you have a completed series or movie, with existing 4K masters, then you’re unlikely to lose money on a Blu-Ray.

I’ll quibble with him here. Shows and movies disappear from streamers because there’s a finite pot of money from subscriber revenue. So removing content will save them money. Blu-Ray is more sustainable because it’s an additional purchase.

OK, let’s get back to web dev.

He points out that similar to the film and other creative industries, developers fill their spare time with passion projects. But their day jobs are with tech companies and essentially subsidize their side projects.

And now, both the creative industries proper and tech companies have decided that, no, they probably don’t need that many of the “grunts” on the ground doing the actual work. They can use “AI” at a much lower cost because the output of the “AI” is not that much worse than the incredibly shitty degraded products they’ve been destroying their industries with over the past decade or so.

Bjarnason ends with seven suggestions for those in the industry. I’ll just quote one:

Don’t get tied to a single platform for distribution or promotion. Every use of a silo should push those interested to a venue you control such as a newsletter or website.

In other words, whatever you do, own your audience. Don’t farm that out to a platform like X/Twitter, Threads, or TikTok.

Of course, there are a lot of parallels to be drawn between what’s happening in the development and software engineering industries to what’s happening in design.

The web is a creative industry and is facing the same decline and shattered economics as film, TV, or publishing

The web is a creative industry and is facing the same decline and shattered economics as film, TV, or publishing

Web dev at the end of the world, from Hveragerði, Iceland

baldurbjarnason.com iconbaldurbjarnason.com
A winter panoramic view from what appears to be a train window, showing a snowy landscape with bare deciduous trees and evergreens against a gray sky. The image has a moody, blue-gray tone.

The Great Office Reset

Cold Arrival

It’s 11 degrees Fahrenheit as I step off the plane at Toronto Pearson International. I’ve been up for nearly 24 hours and am about to trek through the gates toward Canadian immigration. Getting here from 73-degree San Diego was a significant challenge. What would be a quick five-hour direct flight turned into a five-hour delay, then cancelation, and then a rebook onto a red-eye through SFO. And I can’t sleep on planes. On top of that, I’ve been recovering from the flu, so my head was still very congested, and the descents from two flights were excruciating.

After going for a short secondary screening for who knows what reason—the second Canada Border Services Agency officer didn’t know either—I make my way to the UP Express train and head towards downtown Toronto. Before reaching Union Station, the train stops at the Weston and Bloor stations, picking up scarfed, ear-muffed, and shivering commuters. I disembark at Union Station, find my way to the PATH, and headed towards the CN Tower. I’m staying at the Marriott attached to the Blue Jays stadium.

Outside the station, the bitter cold slaps me across the face. Even though I am bundled with a hat, gloves, and big jacket, I still am unprepared for what feels like nine-degree weather. I roll my suitcase across the light green-salted concrete, evidence of snowfall just days earlier, with my exhaled breath puffing before me like the smoke from a coal-fired train engine.

I finally make it to the hotel, pass the zigzag vestibule—because vestibules are a thing in the Northeast, unlike Southern California—and my wife is there waiting to greet me with a cup of black coffee. (She had arrived the day before to meet up with a colleague.) I enter my room, take a hot shower, change, and I’m back out again into the freezing cold, walking the block-and-a-half to my company’s downtown Toronto office—though now with some caffeine in my system. It’s go time.


The Three-Day Sprint

Like many companies, my company recently debuted a return to office or RTO policy. Employees who live close by need to come in three days per week, while others who live farther away need to go to the office once a month. This story is not about RTO mandates, at least not directly. I’m not going to debate the merits of the policy, though I will explore some nuances around it. Instead, I want to focus on the benefits of in-person collaboration.

The reason I made the cross-country trip to spend time with my team of product designers despite my illness and the travel snafus, is because we had to ship a big feature by a certain deadline, and this was the only way to get everyone aligned and pointed in the same direction quickly.

Two weeks prior, during the waning days of 2024, we realized that a particular feature was behind schedule and that we needed to ship within Q1. One of our product managers broke down the scope of work into discrete pieces of functionality, and I could see that it was way too much for just one of our designers to handle. So, I huddled with my team’s design manager and devised a plan. We divided the work among three designers. For me to guarantee to my stakeholders—the company’s leadership team and an important customer—I needed to feel good about where the feature was headed from a design perspective. Hence, this three-day design sprint (or swarm) in Toronto was planned.

I wanted to spend two to three hours with the team for three consecutive days. We needed to understand the problem together and keep track of the overall vision so that each designer’s discrete flow connected seamlessly to the overall feature. (Sorry to dance around what this feature is, but because it’s not yet public, I can’t be any more specific.)

The plan was:

  • Day 1 (morning): The lead designer reviews the entire flow. He sets the table and helps the other designers understand the persona, this part of the product, and its overall purpose. The other designers also walk through their understanding of the flows and functionality they’re responsible for.
  • Day 2 (afternoon): Every designer presents low-fidelity sketches or wireframes of their key screens.
  • Day 3 (afternoon): Open studio if needed.

But after Day 1, the plan went out the window. Going through all the flows in the initial session was overly ambitious. We needed half of the second day’s session to finish all the flows. However, we all left the room with a good understanding of the direction of the design solutions.

And I was OK with that. You see, my team is relatively green, and my job is to steer the ship in the right direction. I’m much less concerned about the UI than the overall experience.

A whiteboard sketch showing a UI wireframe with several horizontal lines representing text or content areas, connected by an arrow to a larger wireframe below. The text content is blurred out.

Super low-fi whiteboard sketch of a screen. This is enough to go by.

On Day 3, the lead designer, the design manager, and I broke down one of the new features on the whiteboard, sketching what each major screen would look like—which form fields we’d need to display, how the tables would work, and the task flows. At some point, the designer doing most of the sketching—it was his feature, after all—said, “Y’know, it’d be easier if we just jumped into FigJam or Figma for the rest.” I said no. Let’s keep it on the whiteboard. Because honestly, I knew that we would fuss too much when using a digital tool. On the whiteboard, it allowed us to work out abstract concepts in a very low-fidelity and, therefore, facile way. This was better. Said designer learned a good lesson.

Just after two hours, we cracked the feature. We had sketched out all the primary screens and flows on the whiteboard. I was satisfied the designer knew how to execute. Because we did that together, there would be less stakeholder management he’d have to do with me. Now, I can be an advocate for this direction and help align with other stakeholders. (Which I did this past week, in fact.)

The Power of Presence

Keep the Work Sessions Short

I purposely did not make these sessions all day long. I kept them to just a couple hours each to leave room for designers to have headphone time and design. I also set the first meeting for the morning to get everyone on the same page. The other meetings were booked for the afternoon, so the team had time to work on solutions and share those.

Presence Is Underrated

When the world was in lockdown, think about all the group chats and Zoom happy hours you had with your friends. Technology allowed us to stay connected but was no replacement for in-person time. Now think about how happy you felt when you could see them IRL, even if socially distanced. The power of that presence applies to work, too. There’s an ease to the conversation that is distinctly better than the start-stop of Zoom, where people raise hands or interrupt each other because of the latency of the connection.

No Replacement for Having Lunch Together

I’ve attended virtual lunches and happy hours before on Zoom. They are universally awkward. But having lunch in person with someone is great. Conversation flows more naturally, and you’re building genuine rapport, not faking it.

FigJam Is No Match for a Whiteboard and Working Expo Marker

Sketching super lo-fi screens is quick on a whiteboard. In FigJam, minutes are wasted as you’re battling with rectangles, the grid snap, and text size and color decisions. Additionally, standing at the whiteboard and explaining as you draw is immensely powerful. It helps the sketcher work out their thoughts, and the viewer understands the thinking. The physicality of it all is akin to performance art.

The RTO Question

As I said, I don’t want to wade into the RTO debate directly. There have already been a lot of great think pieces on it. But I can add to the conversation as a designer and leader of a team of designers.

As I’ve illustrated in this essay, being together in person is wonderful and powerful. By our very nature, humans are social creatures, and we need to be with our compatriots. Collaboration is not only easier and more effective, but it also allows us to make genuine connections with our coworkers.

At the same time, designers need focus time to do our work. Much of our job is talking with users for research and validation, with fellow designers to receive critical feedback, and with PMs, engineers, and all others to collaborate. But when it comes to pushing pixels, we need uninterrupted headphone time. And that’s hard to come by in an open office plan, of which I’m sure 95% of all offices are these days.

In this article by David Brooks from 2022 in The New York Times, he lists study after study that adds to the growing evidence that open-plan offices are just plain bad.

We talk less with each other.

A much-cited study by Ethan Bernstein and Stephen Turban found that when companies made the move to more open plan offices, workers had about 70 percent fewer face-to-face interactions, while email and instant messaging use rose.

We’re more stressed.

In 2011 psychologist Matthew Davis and others reviewed over 100 studies about office environments. A few years later Maria Konnikova reported on what he found in The New Yorker — that the open space plans “were damaging to the workers’ attention spans, productivity, creative thinking and satisfaction. Compared with standard offices, employees experienced more uncontrolled interactions, higher levels of stress, and lower levels of concentration and motivation.”

And we are less productive.

A 2020 study by Helena Jahncke and David Hallman found that employees in quieter one-person cell offices performed 14 percent better than employees in open plan offices on a cognitive task.

I’m also pretty sure the earlier studies cited in the Brooks article analyzed offices with cubicles, not rows and rows of six-foot tables with two designers each.

The Lure of Closed-Door Offices

Blueprint floor plan of an office space showing multiple rooms and areas including private offices, conference rooms, reception area, restrooms, and common spaces. The layout features a central hallway with offices and meeting spaces branching off, elevator banks and stairs on the right side, and various workstations throughout. The plan uses blue lines on white background and includes furniture placement within each room.

Fantasy floor plan of Sterling Cooper by Brandi Roberts.

Many years ago, when I was at Rosetta, I shared a tiny, closed-door office with our head strategy guy, Tod Rathbone. Though cramped, it was a quiet space where Tod wrote briefs, and I worked on pitch decks and resourcing spreadsheets.

In the past, creatives often had private offices despite the popularity of open-layout bullpens. For instance, in the old Hal Riney building in Fisherman’s Wharf, every floor had single-person offices along the perimeter, some with stunning waterfront views. Even our bullpen teams had semi-private cubicles and plenty of breakout spaces to brainstorm. Advertising agencies understood how to design creative workspaces.

Steve Jobs also understood how to design spaces that fostered collaboration. He worked closely with the architectural firm Bohlin Cywinski Jackson to design the headquarters of Pixar Animation Studios in Emeryville. In Walter Isaacson’s biography, Jobs said…

If a building doesn’t encourage [chance encounters and unplanned collaborations], you’ll lose a lot of innovation and the magic that’s sparked by serendipity. So we designed the building to make people get out of their offices and mingle in the central atrium with people they might not otherwise see.

Modern open space with exposed wooden ceiling beams and steel structure. Features floor-to-ceiling windows, polished concrete floors, and a central seating area with black couches arranged on a red carpet. Café-style seating visible along the walls with art displays.

The atrium at Pixar headquarters.

Reimagining the Office

Collection of bookshelves showing design and tech-related books, including titles on graphic design, branding, and typography. Features decorative items including an old Macintosh computer, action figures of pop culture characters, and black sketchbooks labeled with dates. Books include works by Tufte and texts about advertising and logo design.

**

I work at home and I’m lucky enough to have a lovely home office. It’s filled with design books, vinyl records, and Batman and Star Wars collectibles. All things that inspire me and make me happy.

My desk setup is pretty great as well. I have a clacky mechanical keyboard, an Apple Studio Display, a Wacom tablet, and a sweet audio setup.

When I go into my company’s offices in Los Angeles and Toronto, I just have my laptop. Our hoteling monitors aren’t great—just 1080p. There’s just no reason to plug in my MacBook Pro.

I’ve been at other companies where the hoteling situation is similar, so I don’t think this is unique to where I work now.

Pre-pandemic, the situation was reversed. Not many of us had perfect home office setups, if at all. We had to go into the office because that’s where we had all our nice equipment and the reference materials necessary to do our jobs. The pandemic flipped that dynamic.

Back to the RTO mandates, I think there could be compromises. Leadership likes to see their expensive real estate filled with workers. The life of a high-up leader is talking to people—employees, customers, partners, etc. But those on the ground performing work that demands focus, like software engineering and designing, need uninterrupted, long, contiguous chunks of time. We must get into the flow state and stay there to design and build stuff. That’s nearly impossible in the office, especially in an open-plan office layout.

So here are some ideas for companies to consider:

  • Make the office better than your employees’ home setups. Of course, not everyone has a dedicated home office like I do, but by now, they probably have a good setup in place. Reverse that. Give employees spaces that’s theirs so they can have the equipment they want and personalize it to their liking.
  • Add more closed-door offices. Don’t just reserve them for executives; have enough single-person offices with doors for roles that really need focus. It’s a lot of investment in real estate and furniture, but workers will look forward to spaces they can make their own and where they can work uninterrupted.
  • Add more cubicles. The wide open plan with no or low dividers gives workers zero privacy. If more offices are out of the question, semi-private cubicles are the next best thing.
  • Limit in-person days to two or three. As I’ve said earlier in the essay, I love being in person for collaboration. But then, we need time for heads-down-focused work at some point. Companies should consider having people in the office for only two or three days. But don’t expect designers and engineers to push many pixels or write much code.
  • Cut down on meetings. Scheduled meetings are the bane of any designer’s existence because they cut into our focus time. I tend to want to have my meetings earlier in the day so I can save the rest of the day for actual work. Meetings should be relegated to the mornings or just the afternoons, and this applies to in-office days as well.

After being in freezing Toronto for four days, I arrive back home to sunny San Diego. It’s a perfect 68 degrees. I get out of the Uber with my suitcase and lug it into the house. I settle into my Steelcase chair and then log onto Zoom for a meeting with the feature stakeholders, feeling confident that my team of designers will get it done.

Zuckerberg believes Apple “[hasn’t] really invented anything great in a while…”

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.

Side-by-side screenshots of patent searches from the USPTO database showing results for Apple Inc. and Meta Platforms. The Apple search (left) returned 44,699 results since 2007, while the Meta search (right) returned 4,839 results.

You can argue that not all companies file for patents for everything, or that Zuck said Apple hasn’t “really invented anything great in a while.” Great being the keyword here.

He left out the following “great” Apple inventions since 2007:

  • App Store (2008)
  • iPad (2010)
  • Apple Pay (2014)
  • Swift (2014)
  • Apple Watch (2015)
  • AirPods (2016)
  • Face ID (2017)
  • Neural engine SoC (2017)
  • SwiftUI (2019)
  • Apple silicon (2020)
  • Vision Pro (2023) [arguable, since it wasn’t a commercial success, but definitely a technical feat]

The App Store, I’d argue, is on the same level as the iPhone because it opened up an entire new economy for developers, resulting in an astounding $935 billion market in 2025. Apple Watch might be a close second, kicking off a $38 billion market for smartwatches.

Let’s think about Meta’s since 2007, excluding acquisitions*:

  • Facebook Messenger (2011)
  • React (2013)
  • React Native (2015)
  • GraphQL (2015)
  • PyTorch (2016)
  • Ray-Ban Stories (2021)
  • Llama (2023)

*Yes, excluding acquisitions, as Zuckerberg is talking about inventions. That’s why WhatsApp, Instagram, and Quest are not included. Anything I’m missing on this list?

As you can see, other than Messenger and the Ray-Ban glasses, the rest of Meta’s inventions are aimed at developers, not consumers. I’m being a little generous.

Update 1/12/2025

I’ve added some products to the lists above based on some replies to my Threads post. I also added a sentence to clarify excluding acquisitions.