“The enclosure of the commons inaugurates a new ecological order. Enclosure did not just physically transfer the control over grasslands from the peasants to the lord. It marked a radical change in the attitudes of society toward the environment.”*…
Several days ago, juries in New Mexico and California found Facebook/Meta (and in California, also YouTube/Google) guilty of knowingly employing algorithms to serve content to minors that caused depression, anxiety, and other mental health harms… behavior par for the course of the (massive, “mechanical”) extractive behavior that is their business model. As NPR reports (on the California verdict):
While the financial punishment is miniscule for companies each worth trillions of dollars, the decision is still consequential. It represents the first time a jury has found that social media apps should be treated as defective products for being engineered to exploit the developing brains of kids and teenagers… The outcome of this case could influence thousands of other consolidated cases against the social media companies. The litigation has drawn comparisons to the legal crusade in the 1990s against Big Tobacco, which forced the industry to to stop targeting minors with advertising…
L. M. Sacasas draws on a comparison to the English “enclosure movement” (and here) to put the stakes of this battle against algorithmic extraction into historical context…
If you were to ask me something like “What’s the most urgent task before us?” or “What counsel do you have to offer in this cultural moment?” I would say this:
Resist the enclosure of the human psyche.
Don’t misunderstand me. I’m sure there are other necessary and urgent tasks. But this would be my contribution to the conversation. I would be offering not only an imperative to pursue, but also, and perhaps more importantly, an analogy to clarify and interpret the techno-economic forces at play in a digitized society. Such analogies or concepts can be useful. They can crystalize a certain understanding of the world and catalyze action and resolve. They can be a rallying cry.
In any case, I’ll say it again: resist the enclosure of the human psyche.
Some of you may immediately intuit the force of the analogy, but I suspect it needs a little unpacking.
Here’s the short version: I’m drawing an analogy between a historical development known as the enclosure of the commons and the condition of the human psyche in the context of a digitized society. The enclosure of the commons is the name given to the centuries-long process by which lands available to the many were turned into a resource to be managed and extracted by the few. My claim is that structurally similar processes are unfolding with the aim of enclosing the human psyche and transforming it into a resource to be managed and extracted…
The longer version, which follows, unpacks that analogy and explains what the impact of “enclosing the human psyche” could– would likely– be. Sacasas concludes…
… The individual human psyche does not seem like a thing held in common. But, in fact, that presumption may itself be a symptom of the enclosure of the psyche, although there are certainly many other forces leading toward that same conclusion. What if the psyche were a thing held in common? That is to say, what if our purchase on reality and the emergence of the self depended on human relationships and communities? From this perspective, the enclosure of the human psyche deprives us of a common world, which yields an experience of solidarity and belonging.
I’ve elsewhere developed this point at greater length, but here I’ll only note Hannah Arendt’s warning that we are deprived of a “truly human life” when we are “deprived of the reality that comes from being seen and heard by others, to be deprived of an ‘objective’ relationship with them that comes from being related to and separated from them through the intermediary of a common world of things.”
That last bit about a common world of things, a material, not only virtual world, is key. The logic of enclosure seeks to lock us into a private virtual world of “bespoke realities,” thus excluding us from the common world of things that yields as well a public consciousness. As Arendt put it, “Only the experience of sharing a common human world with others who look at it from different perspectives can enable us to see reality in the round and to develop a shared common sense.”…
Eminently worth reading in full: “The Enclosure of the Human Psyche“
* Ivan Illich, “Silence is a commons” in In the Mirror of the Past (to which Sacasas alludes in the essay linked above)
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As we cosset commons, we might recall that it was on this date in 1867 that a bilateral treaty was signed effecting the sale of Alaska by Russia to the United States. It was ratified on May15 and American sovereignty took effect on October 18 of that year. The price for the 586,412 square miles that changed hands was $7.2 million in 1867 (equivalent to about $132 million in 2024), or about $0.02 per acre ($0.37 per acre in 2024).
Relevantly to the piece above, the land was and is largely commonly held, by the federal government, by the state, and by Native American tribes. Only roughly 1% of Alaska is in private hands. But that sliver is growing as the Trump Administration moves to “liquidate” federal real estate holdings (sell them to private owners) and in the meantime, licenses huge swathes of Alaska for oil and gas development, mineral extraction, and the infrastrucutre (roads, pipelines) needed to service them. Alaskans are worried.

“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
###
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.
“You live and learn. At any rate, you live.”*…
… and to the extent that we care about our democracy, that’s an issue.
In an article based on his recent Sakurada-Kai Foundation Oxbridge Lecture at Keio University, Tokyo, John Dunn argues that our democracies depend on our picking up the pace of learning. The abstract:
There cannot be a coherent democratic theory because democracy is not a determinate topic. Representative democracy is a relatively modern regime form. It now needs rehabilitation because so many instances have performed poorly for so long. Representative democracy is now also an aging regime. As a type of state, it is subject to the territorial contentiousness and contested legitimacy of any state. It claims its legitimacy from iterative popular choice, but the plausibility of that claim is increasingly strained by the drastic disparities in life chances reproduced through the property systems it protects. The inherent difficulty for citizens to judge how to advance their collective interests is aggravated by the recent transformation of the information economy. In the cumulative damage inflicted by climate change it faces a deadlier peril than any previous regime and one which only a citizenry that can enlighten itself in time can reasonably hope to nerve itself to meet…
There follows a fascinating– and provocative– elaboration of this thesis in which Dunn considers the history of democracy and the alternatives with which it has, since its inception, vied. He concludes in a bracing fashion…
… The varieties of autocracy which will be on offer wherever the rest of the world has the opportunity to take them up will be without exception the reverse of enlightened – instrumentally and compulsively bound to the extremes of obscurantism, Darkness as a full-on fideist commitment, deliberate self-blinding as a navigational strategy. Move fast, break lots, and never pause to inspect the wreckage.
Representative democracy has recently proved itself a poor structure for collective enlightenment, but the case for it depends on its at least not precluding that, its being still open to making the attempt, and responding to what it can contrive to learn. The most optimistic vision of democracy in action has always seen it as an opportunity for collective self-education on the content of shared goods and the means to achieve them. If that is scarcely a realist picture of what it has ever been, at least it is an image of the right shape. It is too late to ask who will educate the educators. At this point we must educate ourselves together and heed the lessons of that education or we must and will die – not just each of us one by one, as we were always fated to do, but soon enough all of us and for ever…
Eminently worth reading in full: “Can Democracy be Rehabilitated?“
Apposite: “How American Democracy Fell So Far Behind,” from Steven Levitsky and Daniel Ziblatt (gift article– and source of the image above)
* Douglas Adams, Mostly Harmless
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As we devote ourselves to democracy, we might spare a thought for Ludwig van Beethoven; he died on this date in 1827. A crucial figure in the transition between the Classical and Romantic eras in Western music, he remains one of the most famous and influential of all composers. His best-known compositions include 9 symphonies, 5 concertos for piano, 32 piano sonatas, and 16 string quartets. He also composed other chamber music, choral works (including the celebrated Missa Solemnis), a single opera (Fidelio), and numerous songs.
Relevantly to the piece above…
Beethoven admired the ideals of the French Revolution, so he dedicated his third symphony to Napoleon Bonaparte… until Napoleon declared himself emperor. Beethoven then sprung into a rage, ripped the front page from his manuscript and scrubbed out Napoleon’s name…
Beethoven’s temper and Symphony No. 3 ‘Eroica’












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