Three things about data
- Data is a risk.
- Data is distracting.
- It becomes a job.
Link tags: business
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It’s Not AI. It’s FOMOnetization.
FOMO is a feeling. But it’s also a business model—and increasingly, one of the more successful ones. Fear, in general, makes people much easier to separate from their money. It’s perfectly suited to this moment of ubiquitous grift, where everything feels like a lottery ticket or a multi-level marketing scheme.
It’s even more perfectly suited for “the age of AI,” which squeezes economic FOMO from both sides. AI could make you wildly rich (the first person to start a billion-dollar company with zero employees!) or leave you hopelessly destitute (part of the looming “permanent underclass”). Which one do you want to be? Smash that like button, sign up for my online course, and use my new AI-powered business platform!
Bruce Lawson’s personal site : Apple at 50: my top five Apple moments
Never forget:
- The time Apple lied to the UK regulator
- The time when Apple told the EU that Safari is 3 different browsers
- When Apple tried to shut the UK investigation down
- When Apple’s VP of Finance got caught lying under oath
- When Apple tried to wreck all EU Web Apps
So Many Websites
But perhaps the death of search is good for the future of the web. Perhaps websites can be free of dumb rankings and junky ads that are designed to make fractions of a penny at a time. Perhaps the web needs to be released from the burden of this business model. Perhaps mass readership isn’t possible for the vast majority of websites and was never really sustainable in the first place.
Against the protection of stocking frames. — Ethan Marcotte
I don’t think it’s controversial to suggest that LLMs haven’t measured up to any of the lofty promises made by their vendors. But in more concrete terms, consumers dislike “AI” when it shows up in products, and it makes them actively mistrust the brands that employ it. In other words, we’re some three years into the hype cycle, and LLMs haven’t met any markers of success we’d apply to, well, literally any other technology.
The Recurring Cycle of ‘Developer Replacement’ Hype
Here’s what the “AI will replace developers” crowd fundamentally misunderstands: code is not an asset—it’s a liability. Every line must be maintained, debugged, secured, and eventually replaced. The real asset is the business capability that code enables.
If AI makes writing code faster and cheaper, it’s really making it easier to create liability. When you can generate liability at unprecedented speed, the ability to manage and minimize that liability strategically becomes exponentially more valuable.
This is particularly true because AI excels at local optimization but fails at global design. It can optimize individual functions but can’t determine whether a service should exist in the first place, or how it should interact with the broader system. When implementation speed increases dramatically, architectural mistakes get baked in before you realize they’re mistakes.
Elizabeth Goodspeed on why graphic designers can’t stop joking about hating their jobs
We trained people to care deeply and then funnelled them into environments that reward detachment. And the longer you stick around, the more disorienting the gap becomes – especially as you rise in seniority. You start doing less actual design and more yapping: pitching to stakeholders, writing brand strategy decks, performing taste. Less craft, more optics; less idealism, more cynicism.
Another uncalled-for blog post about the ethics of using AI | Clagnut by Richard Rutter
This is a really thoughtful piece by Rich, who’s got conflicted feelings about large language models in the design process. I suspect a lot of people can relate to this.
What I do know is that I find LLMs useful on occasion, but every time I use one I die a little inside.
Pluralistic: With Great Power Came No Responsibility (26 Feb 2025) – Pluralistic: Daily links from Cory Doctorow
The web is open, apps are closed. The majority of web users have installed an ad blocker (which is also a privacy blocker). But no one installs an ad blocker for an app, because it’s a felony to distribute that tool, because you have to reverse-engineer the app to make it. An app is just a website wrapped in enough IP so that the company that made it can send you to prison if you dare to modify it so that it serves your interests rather than theirs.
The Generative AI Con
I Feel Like I’m Going Insane
Everywhere you look, the media is telling you that OpenAI and their ilk are the future, that they’re building “advanced artificial intelligence” that can take “human-like actions,” but when you look at any of this shit for more than two seconds it’s abundantly clear that it absolutely isn’t and absolutely can’t.
Despite the hype, the marketing, the tens of thousands of media articles, the trillions of dollars in market capitalization, none of this feels real, or at least real enough to sustain this miserable, specious bubble.
We are in the midst of a group delusion — a consequence of an economy ruled by people that do not participate in labor of any kind outside of sending and receiving emails and going to lunches that last several hours — where the people with the money do not understand or care about human beings.
Their narrative is built on a mixture of hysteria, hype, and deeply cynical hope in the hearts of men that dream of automating away jobs that they would never, ever do themselves.
Generative AI is a financial, ecological and social time bomb, and I believe that it’s fundamentally damaging the relationship between the tech industry and society, while also shining a glaring, blinding light on the disconnection between the powerful and regular people. The fact that Sam Altman can ship such mediocre software and get more coverage and attention than every meaningful scientific breakthrough of the last five years combined is a sign that our society is sick, our media is broken, and that the tech industry thinks we’re all fucking morons.
How Indie Devs and Small Teams Can Win in a Tech Downturn - The New Stack
In which Rich nails Clearleft’s superpower:
“Clearleft is a relatively small team, but we can achieve big results because we are nimble and extremely experienced. As strategic design partners, we have a privileged position where we can work around a large company’s politics,” Rutter said. “We need to understand those politics — and help the client staff navigate them — but we don’t need to be bound by them. We bring a thoroughly user-centered approach to our design partnership, and that can be something novel to companies. By showing them what good design looks like (not so much the interface, as the actual process of getting to really well-designed products and services), we can be disruptive within the organization and leave them in a much better place.”
AI wants to rule the World, but it can’t handle dairy.
AI has the same problem that I saw ten year ago at IBM. And remember that IBM has been at this AI game for a very long time. Much longer than OpenAI or any of the new kids on the block. All of the shit we’re seeing today? Anyone who worked on or near Watson saw or experienced the same problems long ago.
Of Books and Conferences Past - Zeldman on Web and Interaction Design
I miss A Book Apart, and I really miss An Event Apart—I made so many friends and memories through that conference. I admire Jeffrey’s honest account of how much it sucks when something so good comes to an end.
She Built a Microcomputer Empire From Her Suburban Home
The story of Lore Harp McGovern is like something from Halt And Catch Fire.
“We bring the same problem-solving ethos that underpins great design.” | Top Interactive Agencies
Here’s a nice interview with Rich all about how things work at Clearleft.
DOJ, Nvidia, and why we restrict monopolies | Ian Betteridge
This observation seems intuitively obvious in Europe and pearl-clutchingly shocking in America:
What’s perfectly acceptable behaviour when you are a relatively small company becomes outright illegal (and rightly so) when you become dominant in an industry.
The Frontend Treadmill - These Yaks Ain’t Gonna Shave Themselves
Your teams should be working closer to the web platform with a lot less complex abstractions. We need to relearn what the web is capable of and go back to that.
Let’s be clear, I’m not suggesting this is strictly better and the answer to all of your problems. I’m suggesting this as an intentional business tradeoff that I think provides more value and is less costly in the long run.
Robin Rendle — Instability
The whole point of the web is that we’re not supposed to be dependent on any one company or person or community to make it all work and the only reason why we trusted Google is because the analytics money flowed in our direction. Now that it doesn’t, the whole internet feels unstable. As if all these websites and publishers had set up shop perilously on the edge of an active volcano.
But that instability was always there.
How do we build the future with AI? – Chelsea Troy
This is the transcript of a fantastic talk called “The Tools We Still Need to Build with AI.”
Absorb every word!
Beware the cloud of hype - The History of the Web
The rise of dot-com companies was pitched as a no consequences gold rush. We were on the precipice of a fictional future where everyone would be cashing in on the web. The reality was quite a bit more slow, and boring. Business on the web consolidated, as we now know, and left most people holding the bag. There’s no knowing exactly what will happen with AI technologies, but it wouldn’t be unreasonable to expect something far more boring and centralized than what’s being promised.