Posts Tagged ‘London’
“Technological change is not additive; it is ecological. A new technology does not merely add something; it changes everything”*…
Insofar as (at the risk of sounding tautological) transformative technologies are concerned, Neil Postman is surely right. But then, as Roy Amara pointed out, “we tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” David Oks uses a common myth of technological replacement to illustrate– and more specifically, to observe that there’s a lot more to replacing labor than just automating tasks.
He begins by recounting an interview a few months ago of J. D. Vance by Ross Douthat in which (in response to a question from Douthat about the potential downsides of AI, in particular the prospect of its “obsoleting” human workers) Vance responded sanguinely, arguing that ATM machines didn’t eliminate bank tellers. Indeed, Vance suggested, “we have more bank tellers today than we did when the ATM was created, but they’re doing slightly different work…”
There are two interesting things about what Vance said, both relating to the example that he chose about bank tellers and ATMs.
The first thing is what it tells us about who J. D. Vance is. The bank teller story—how ATMs were predicted to increase bank teller unemployment, but in fact did not—isn’t a story you’ll hear from politicians; in fact, for a long time, Barack Obama would claim, incorrectly, that ATMs had decreased the number of bank tellers, in order to suggest that the elevated unemployment rate during his presidency was due to productivity gains from technology. I’ve never heard a politician cite the bank teller story before: but I have seen the bank teller story cited in a lot of blogs. I’ve seen it cited, for example, by Scott Alexander and Matt Yglesias and Freddie deBoer; and I’ve heard it, upstream of the humble bloggers, from such fine economists as Daron Acemoglu and David Autor. The story of how ATMs didn’t automate bank tellers is, indeed, something of a minor parable of the economics profession…
… But the other thing about the bank teller story that Vance cites is that it’s wrong. We do not, contrary to what Vance claims, have “more bank tellers today than we did when the ATM was created”: we in fact have far fewer. The story he tells Douthat might have been true in 2000 or 2005, but it hasn’t been true for years. Bank teller employment has fallen off a cliff. Here is a graph of bank teller employment since 2000:
So what happened to bank tellers? Autor, Bessen, Vance, and the like are right to point out that ATMs did not reduce bank teller employment. But they miss the second half of the story, which is that another technology did. And that technology was the iPhone. The huge decline in bank teller employment that we’ve seen over the last 15-odd years is mainly a story about iPhones and what they made possible.
But why? Why did the ATM, literally called the automated teller machine, not automate the teller, while an entirely orthogonal technology—the iPhone—actually did?
The answer, I think, is complementarity.
In my last piece, on why I don’t think imminent mass job loss from AI is likely, I talked a lot about complementarity. The core point I made was that labor substitution is about comparative advantage, not absolute advantage: the relevant question for labor impacts is not whether AI can do the tasks that humans can do, but rather whether the aggregate output of humans working with AI is inferior to what AI can produce alone. And I suggested that given the vast number of frictions and bottlenecks that exist in any human domain—domains that are, after all, defined around human labor in all its warts and eccentricities, with workflows designed around humans in mind—we should expect to see a serious gap between the incredible power of the technology and its impacts on economic life.
That gap will probably close faster than previous gaps did: AI is not “like” electricity or the steam engine; an AI system is literally a machine that can think and do things itself. But the gap exists, and will exist even as the technology continues to amaze us with what it can now accomplish.
But by talking about why ATMs didn’t displace bank tellers but iPhones did, I want to highlight an important corollary, which is that the true force of a technology is felt not with the substitution of tasks, but the invention of new paradigms. This is the famous lesson of electricity and productivity growth, which I’ll return to in a future piece. When a technology automates some of what a human does within an existing paradigm, even the vast majority of what a human does within it, it’s quite rare for it to actually get rid of the human, because the definition of the paradigm around human-shaped roles creates all sorts of bottlenecks and frictions that demand human involvement. It’s only when we see the construction of entirely new paradigms that the full power of a technology can be realized. The ATM substituted tasks; but the iPhone made them irrelevant…
[Oks unpacks the stories of the ATM’s and iPhone’s impact on banking, then looks ahead, by anaology, to what might be in store with AI. He concludes…]
… I am not a “denier” on the question of technological job loss; Vance’s blithe optimism is not mine. But I’m skeptical that simply slotting AI into human-shaped jobs will have the results people seem to expect. The history of technology, even exceptionally powerful general-purpose technology, tells us that as long as you are trying to fit capital into labor-shaped holes you will find yourself confronted by endless frictions: just as with electricity, the productivity inherent in any technology is unleashed only when you figure out how to organize work around it, rather than slotting it into what already exists. We are still very much in the regime of slotting it in. And as long as we are in that regime, I expect disappointing productivity gains and relatively little real displacement.
The real productivity gains from AI—and the real threat of labor displacement—will come not from the “drop-in remote worker,” but from something like Dwarkesh Patel’s vision of the fully-automated firm. At some point in the life of every technology, old workflows are replaced by new ones, and we discover the paradigms in which the full productive force of a technology can best be expressed. In the past this has simply been a fact of managerial turnover or depreciation cycles. But with AI it will likely be the sheer power of the technology itself, which really is wholly unlike anything that has come before, and unlike electricity or the steam engine will eventually be able to build the structures that harness its powers by itself.
I don’t think we’ve really yet learned what those new structures will look like. But, at the limit, I don’t quite know why humans have to be involved in those: though I suspect that by the time we’re dealing with the fully-automated organizations of the future, our current set of concerns will have been largely outmoded by new and quite foreign ones, as has always been the case with human progress.
But, however optimistic I might be about the human future, I don’t think it’s worth leaning on the history of past technologies for comfort. The ATM parable is a comforting narrative; and in times of uncertainty and fear we search naturally for solace and comfort wherever it may come. But even when it comes to bank tellers, it’s only the first half of the story…
Eminently worth reading in full: “Why ATMs didn’t kill bank teller jobs, but the iPhone did.”
As to whether the wisdom of Amara and Oks is widely-shared, consider this from Crunchbase:
Crunchbase data shows global venture investment totaled $189 billion in February — the largest startup funding month on record — although 83% of capital raised went to just three companies. They include OpenAI, which raised $110 billion, also in the largest round ever raised by a private, venture-backed company.
The record month for venture funding took place against the backdrop of a trillion-dollar stock market drop as AI compute and tooling unsettled leading public software companies. [See also here.]
All told, venture investment was up close to 780% year over year from the $21.5 billion raised by startups in February 2025.
OpenAI was not the only company to raise tens of billions of dollars last month. Its closest rival, Anthropic, raised $30 billion, marking the third-largest venture round on record.
Waymo, Alphabet‘s self-driving division, raised $16 billion. Together, those three rounds totaled $156 billion, representing 83% of the global venture capital raised in February.
A further four companies each raised $1 billion or more last month: Tokyo-based semiconductor manufacturer Rapidus; London-based self-driving platform Wayve; San Francisco-based AI for robotics World Labs; and Sunnyvale, California-based AI semiconductor company Cerebras Systems.
These massive rounds were led by strategic corporate investors, a host of private equity and alternative investors, as well as a few multistage venture investors and a government agency…
– “Massive AI Deals Drive $189B Startup Funding Record In February While Public Software Stocks Reel“
As Carlota Perez explains in Technological Revolutions and Financial Capital, we’re forever blowing bubbles…
* Neil Postman
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As we contemplate change, we might send sanitary, odor-free birthday greetings to Sir Joseph William Bazalgette; he was born on this date in 1819. A civil engineer, he became chief engineer of London’s Metropolitan Board of Works, in which role his major achievement was a response to the “Great Stink of 1858,” in July and August of 1858, during which very hot weather exacerbated the smell of untreated human waste and industrial effluent. Bazalgette oversaw the creation of a sewer network for central London which addressed the problem– and was instrumental in relieving the city from cholera epidemics, in beginning the cleansing of the River Thames, and in creating (a crucial part of) the infrastructure that underlay its extraordinary growth over the next century.
“The sea hath fish for every man”*…
A few weeks ago, (Roughly) Daily shared the story of The Illinois Department of Natural Resources’ attempt to rebrand invasive Asian Carp as Copi in an attempt to make it a more appealing food. Kane Hsieh, writing in Spencer Wright‘s always-illuminating The Prepared, elaborates on the theme…
… It’s worked in the past: Chilean sea bass (Patagonian toothfish), monkfish (goosefish), and uni (urchin, also called whore’s eggs by American fisherman as recently as 1990) were all successful rebrandings.
Speaking of fish, it’s always a surprise to me how much of what feels like traditional cuisine is actually very modern, accidental, or even engineered. In Japanese cuisine, tuna and salmon rose to their contemporary status only in the 20th century: tuna was a poor man’s fish until post-war Western influence brought a taste for fattier meat, and salmon was an undesirable fish until the 80s when a desperate Norwegian government ran aggressive ad campaigns in Japan…
Trash to table: rebranding fish to make them more palletable, from @kane in @the_prepared.
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As we contemplate cuisine, we might recall that it was on this date in 1838 that it rained frogs in London. Indeed, there have been numerous instances on polliwog precipitation in the area, most recently in 1998, when an early morning rain shower in Croydon (South London) was accompanied by hundreds of dead frogs.

“A beautiful object, whether it be a living organism or any whole composed of parts, must not only have an orderly arrangement of parts, but must also be of a certain magnitude”*…
Big things in small towns…
Casey, Ill., is home to 12 of the world’s largest objects, including a swizzle spoon, wind chime and most impressively, the world’s largest rocking chair. The 23-ton rocker took two onerous years to meticulously construct and included fastidious wood carving and diligent staining. The seat was certified as the world’s largest rocking chair back in 2015 after 10 sturdy individuals proved that the chair could actually rock back and forth. Looming at a monumental 56 feet high, Grandma would have to climb the world’s tallest ladder if she wanted to knit in this chair, proving that the town’s motto “Big Things Small Town” is an apropos sentiment…
One one several stops on a tour of massive novelties in small communities across the U.S.: “The Weird World of Gigantic Roadside Attractions,” from @FiftyGrandeMag.
See also: “The World’s Largest Ball Of Twine is a preserved in a gazebo in Darwin, Minnesota,” from @BoingBoing.
* Aristotle, Poetics
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As we muse on the monumental, we might recall that it was on this date in 1859 that the Clock Tower at the north end of the Palace of Westminster (the seat of Parliament) in London was completed. It housed, at the time, the largest and most accurate four-faced striking and chiming clock in the world. It quickly became known by the nickname of its Great Bell (the largest of five), Big Ben.
“I am so clever that sometimes I don’t understand a single word of what I am saying”*…
Humans claim to be intelligent, but what exactly is intelligence? Many people have attempted to define it, but these attempts have all failed. So I propose a new definition: intelligence is whatever humans do.
I will attempt to prove this new definition is superior to all previous attempts to define intelligence. First, consider humans’ history. It is a story of repeated failures. First humans thought the Earth was flat. Then they thought the Sun went around the Earth. Then they thought the Earth was the center of the universe. Then they thought the universe was static and unchanging. Then they thought the universe was infinite and expanding. Humans were wrong about alchemy, phrenology, bloodletting, creationism, astrology, numerology, and homeopathy. They were also wrong about the best way to harvest crops, the best way to govern, the best way to punish criminals, and the best way to cure the sick.
I will not go into the many ways humans have been wrong about morality. The list is long and depressing. If humans are so smart, how come they keep being wrong about everything?
So, what does it mean to be intelligent?…
Arram Sabeti (@arram) gave a prompt to GPT-3, a machine-learning language model; it wrote: “Are Humans Intelligent?- a Salty AI Op-Ed.”
(image above: source)
* Oscar Wilde
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As we hail our new robot overlords, we might recall that it was on this date in 1814 that London suffered “The Great Beer Flood Disaster” when the metal bands on an immense vat at Meux’s Horse Shoe Brewery snapped, releasing a tidal wave of 3,555 barrels of Porter (571 tons– more than 1 million pints), which swept away the brewery walls, flooded nearby basements, and collapsed several adjacent tenements. While there were reports of over twenty fatalities resulting from poisoning by the porter fumes or alcohol coma, it appears that the death toll was 8, and those from the destruction caused by the huge wave of beer in the structures surrounding the brewery.
(The U.S. had its own vat mishap in 1919, when a Boston molasses plant suffered similarly-burst bands, creating a heavy wave of molasses moving at a speed of an estimated 35 mph; it killed 21 and injured 150.)










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