Posts Tagged ‘economics’
“Always look on the bright side of life”*…
The estimable economic historian Louis Hyman has been engaged in an on-going “friendly debate” with his equally-estimable friend and Johns Hopkins colleague Rama Chellappa on “what AI means”…
… As I see this debate, this question of our age, there are two main questions that history can shed some light on.
- Is AI a complement or a substitute for labor? That is, will it increase demand for and the productivity of workers, or decrease it?
- Will AI be controlled by the few or be accessible to the many?
A Complement or a Substitute?
Consider a some of the most important technologies of the past 200 years.
When I am asked about what automation might look like, I inevitably discuss agriculture. Roughly all of our ancestors were farmers and approximately none of us today are. Yet we still eat bread made from wheat. That shift is possible because of automation.
The mechanical thresher, used to process wheat, was a substitute for the most backbreaking work of the harvest. But it also enabled more land to be cultivated, and that land was cultivated more efficiently, allowing for greater harvests. Mechanization of the farm, like the thresher, turned the American Midwest into the breadbasket of the world.
Those displaced farmers found work on railroads, moving all that. And those jobs, according to people at the time, were a kind of liberation from the raw animal labor of threshing. On net, it created demand for more workers at better wages in work more fit for people than beasts. For those that remained farmers, they found other higher-value work to be done. On a farm, there is always more work to do.
The failure, then and now, is to think farmers were only threshers. That was one part of their jobs. Today, our work, for most people, is also a bundle of tasks. Workers then and now could and can focus on parts of their job that are of higher value. And in a new economy, new tasks in new industries will be created. Many of the jobs that we do today (web designer, UI expert) were simply unimaginable in 1850. That is a good thing.
Consider now the assembly line. I’m sure you all know about the staggering increases in productivity that come from the division of labor. If you take my class in industrial history, you would learn deeply about the story of the automobile. With the assembly line, and no other change in technology, car assembly went from 12 and a half hours to about 30 minutes (once they worked out the kinks). Did this reduce the demand for workers? No. It reduced the price of cars. And that increased the demand for workers, who eventually could demand even higher wages through unionization.
It is important here to realize that better tools don’t make us get paid worse. They generally make us get paid more. Why? Because the tool, without the person, is useless. Even for today’s most cutting-edge AIs, that is true. It can code, but it can only code what I imagine it to code. It can draw, but only what I imagine it to draw. That is true for AIs as it was true for the thresher.
So, I would offer that AI will create more growth, more abundance. In the long run, all growth comes from higher productivity.
I would add one more piece to this story. Economic inequality has worsened since roughly 1970. It has worsened, therefore, not in the industrial era, but the digital era. I have argued elsewhere that this happened because for decades we did not use computers as tools of automation but as glorified typewriters (and then as televisions). Our productivity did not increase, especially to justify the expense of computers. Economists have debated for decades now over the lack of increase in productivity that came with the “digital age” of computing, but it is simple. We don’t use them as computers. Now we can.
For the first time now, normal people with their normal problems can use their computers to solve and automate their problems. AI can write code. AI can automate their tedium. The digital age did not bring any gains because it had no yet arrived. We were living through the last gasp of the industrial economy.
It is now here.
This technology will unleash unimaginable productivity gains. It will level the playing field between coders and the rest of us. Coders will lose their jobs, to be sure, but for the rest of us, the bundle of workplace tasks will become much better.
And truthfully, the demand for real computer scientists will probably increase in the era of vibe-coding. Computer science itself is a bundle of skills, of which coding is just one. The more important skill – software and data architecture – will only increase in demand as the usefulness of software expands…
[Hyman goes on to explore the dangers of monopolization (which, for reasons he explains, he believes are overstated); the future of softward (which, he believes, will skew to open-sorce), and of hardware (which, he believes will not be a bottleneck). He concludes…]
… Put together we come to a very different picture of what the digital age will be. The industrial age required massive investments to build the factories to make the products that were in demand. In the digital age, in contrast, the factories to build digital products will be made by the AI on your laptop. That is not inequality. That is equality.
The physical products of the Fordist industrial age were made for the mass market. In contrast, the digital products of the post-fordist digital age will be long-tail products. I don’t need to make mass market products; I can make them for a small niche, or just for myself.
Rather than fostering inequality, AI, then, is a great equalizer. To make products for a global market you don’t need a billion-dollar factory. You just need a laptop. That is astonishing.
That said, it will not be all sunshine and rainbows. Will AI solve the inequities of capitalism or its reliance on externalities as a source of primitive accumulation? Probably not.
But at the same time, AI is not a normal technology in that it has the potential to radically undermine many of the tendencies to concentrate capital that we have seen in the industrial age. We have been automated out of work before, that is nothing new, but it has always concentrated capital in the hands of the few. For the first time, there is potentially an alternative path forward.
AI will bring the digital age out of the hands of the coders. AI will not widen the gap—it will bridge it. Its ubiquity will mean that AI will be a tool that nearly all of us will be able to use in our daily work, which will make ordinary people more productive and prosperous…
Eminently worth reading in full: “Hooray! Post-Fordism Is Finally Here!“
Even as Hyman’s message is reassuring in the context of the flood of jeremiads in which we’re awash, it’s worth remembering that eerily-similar points were made a couple of decades ago about the threat/promise of digital publishing/commerce. Given the then-current conditions and then-plausible futures, those predictions might have come true… but in the event, they didn’t pan out as projected. That said, things are changing, so maybe this time things are different?
(Image above: source)
* song (by Eric Idle) from Monty Python’s Life Of Brian
###
As we resolve to remain rosy, we might send productive birthday greetings to Andrew Meikle; he was born on this date in 1719. A Scottish millwright, he invented the threshing machine (for removing the husks from grain, as mentioned above). One of the key developments of the British Agricultural Revolution in the late 18th century., it was also one of the main causes of the Swing Riots— an 1830 uprising by English and Scottish agricultural workers protesting agricultural mechanization and harsh working conditions.

“The future is already here — it’s just not very evenly distributed”*…
… nor, perhaps, as widely read as it should be. “Urubos” is here to help…
The Extrapolated Futures Archive is a reverse-lookup for speculative fiction. Describe a situation you are facing, and find the SF stories that already worked through the implications.
The catalog connects stories (novels, novellas, short stories, films) to the speculative ideas they explore: thought experiments about technology, governance, biology, society, and more. Every idea is tagged with domains, scenario types, and outcome types so you can filter by the kind of future you are thinking about.
How to use it:
- Search by title, author, synopsis keywords, or idea descriptions
- Filter by domain (AI, biotech, climate, space, governance…), scenario type, outcome, decade, or series
- Browse ideas to find transferable thought experiments, then follow links to the stories that explore them
- Browse stories to see what speculative ideas a particular work contains
- Book Club discussions (marked with 📖) offer section-by-section roundtable analyses by AI personas modeled on SF authors
- What-If Query (via the What-If Query page/link) lets you describe a real-world scenario in plain text and get ranked matching ideas
The archive is designed for decision-makers in government, industry, and NGOs who want to widen their thinking by surfacing fictional precedents for novel real-world challenges…
Over 275 ideas, which cluster into 20 different “domains,” explored in over 1,900 stories, via over 3,500 links…
Mapping real-world scenarios to the science fiction stories that explored them first: “Extrapolated Futures Archive“
* William Gibson
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As we ponder prescience, we might spare a thought for Charles Hoy Fort, the prolific chronicler of paranormal phenomena; he died on this date in 1932. Fort collected accounts of frogs and other strange objects raining from the sky, UFOs, ghosts, spontaneous human combustion, stigmata, psychic abilities, and the like, publishing four collections of weird tales and anomalies during his lifetime: Book of the Damned (1919), New Lands (1923), Lo! (1931), and Wild Talents (1932). So influential was Fort among fellow-questers that his name has become an adjective, “Fortean,” often applied to unexplained events… The Truth is Out There…

“The present is pregnant with the future”*…
The estimable Tim O’Reilly uses scenario planning to create an insightful look at AI, our futures, and the choices that will define them…
We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In February, Jack Dorsey cut 40% of Block’s workforce, telling shareholders that “intelligence tools have changed what it means to build and run a company.” Block’s stock rose 20%. Salesforce has shed thousands of customer support workers, saying AI was already doing half the work. And a Stanford study found that software developers aged 22 to 25 saw employment drop nearly 20% from its peak, while developers over 26 were doing fine.
But how are we to square this news with a Vanguard study that found that the 100 occupations most exposed to AI were actually outperforming the rest of the labor market in both job growth and wages, and a rigorous NBER study of 25,000 Danish workers that found zero measurable effect of AI on earnings or hours?
Other studies could contribute to either side of the argument. For example, PwC’s 2025 Global AI Jobs Barometer, analyzing close to a billion job ads across six continents, found that workers with AI skills earn a 56% wage premium, and that productivity growth has nearly quadrupled in the industries most exposed to AI.
This is exactly the kind of contradictory, uncertain landscape that scenario planning was designed for. Scenario planning doesn’t ask you to predict what the future will be. It asks you to imagine divergent possible futures and to develop a strategy that improves your odds of success across all of them. I’ve used it many times at O’Reilly and have written about it before with COVID and climate change as illustrative examples. The argument between those who say AI will cause mass unemployment and those who insist technology always creates more jobs than it destroys is a debate that will only be resolved by time. Both sides have evidence. Both are probably right at some level. And both framings are not terribly helpful for anyone trying to figure out what to do next…
[O’Reilly explains the scenario approach, then applies it to our future with AI (see the image above), astutely assessing the conflicting signals that we’ve experiencing; he explores the “robust strategy” for our uncertian future (strategic choices that make sense regardless of which future unfolds); then he concludes…
… I’ll return to the theme that I sounded in my book WTF? What’s the Future and Why It’s Up To Us.
Every time a company uses AI to do what it was already doing with fewer people, it is making a choice for the lower half of the scenario grid. Every time a company uses AI to do something that wasn’t previously possible, to serve a customer who wasn’t previously served, to solve a problem that wasn’t previously solvable, it is making a choice for the upper half. These choices compound, for good or ill. An economy that uses AI primarily for efficiency will slowly hollow itself out.
Looking at the news from the future, both sets of signals are present. The question is which will dominate. AI will give us both the Augmentation Economy and the Displacement Crisis, in different measures in different places, depending on the choices we make.
Scenario planning teaches us that we don’t have to predict which future we’ll get. We do have to prepare for a very uncertain future. But the robust strategy, the one that works across every quadrant, is to focus on doing more, not just doing the same with less, and to find ways that human taste still matters in what is created. As long as there is unmet demand, as long as there are problems we haven’t solved and people we haven’t served, AI will augment human work rather than replacing it. It’s only when we stop looking for new things to do that the machines come for the jobs…
Eminently worth reading in full. Indeed, speaking as a long-time scenario planner, your correspondent can only wish that everyone who wields “scenarios” applies the approach as appropriately, adriotly, and acutely as Tim has: “Scenario Planning for AI and the ‘Jobless Future‘,” from @timoreilly.bsky.social.
* Voltaire
###
As we take the long view, we might send formative birthday greetings to Mark Pinsker; he was born on this date in 1923. A mathematician, he made impoprtant contributions to the fields of information theory, probability theory, coding theory, ergodic theory, mathematical statistics, and communication networks. This work, which helped lay the foundation for AI-as-we-know-it, earned him the IEEE Claude E. Shannon Award in 1978, and the IEEE Richard W. Hamming Medal in 1996, among other honors.
“A creditor is worse than a slave-owner; for the master owns only your person, but a creditor owns your dignity, and can command it.”*…
Developing countries around the world are deeply in hock. According to UNCTAD (UN Trade and Development), global public debt reached a record high of $102 trillion in 2024. Although public debt in developing countries accounted for less than one third of the total – $31 trillion – it has grown twice as fast as in developed economies since 2010. Those developing nations had debt service on that external public debt of $487 billion in 2023– which meant, for half of them, paying at least 6.5% of export revenues to service external public debt. More practically, that means that 3.4 billion people are living in countries that spend more on interest than on healthcare or education. [See the UNCTAD fact sheet here.]
Not surprisingly, developing countries sometimes fall sufficiently behind to call their loans into question. When that happens, an under-the-radar “informal group” of creditors– the Paris Club– gets together to negotiate a way forward…
The Paris Club is an informal group of official creditors whose role is to find coordinated and sustainable solutions to the payment difficulties experienced by debtor countries. As debtor countries undertake reforms to stabilize and restore their macroeconomic and financial situation, Paris Club creditors provide an appropriate debt treatment. Paris Club creditors provide debt treatments to debtor countries in the form of rescheduling, which is debt relief by postponement or, in the case of concessional rescheduling, reduction in debt service obligations during a defined period (flow treatment) or as of a set date (stock treatment).
The origin of the Paris Club dates back to 1956 when Argentina agreed to meet its public creditors in Paris. Since then, the Paris Club has reached 484 agreements with 102 different debtor countries. Since 1956, the debt treated in the framework of Paris Club agreements amounts to $616 billion.
The 22 members of the Paris Club are mostly the larger OECD members, plus Russia. South Africa is a prospective member, and China and India are Ad Hoc members. Organizations like the IMF, the World Bank, the African Development Bank, the Asian Development Bank, the Inter-American Development Bank, and the OECD are “observers.” Participants representing members are government officials. The U.S., for instance is represented by a State Department official (relying on positions formulated by the Treasury Department).
Sven van Mourik puts all of this into context…
In today’s world, finance is dominated not by states, but by private actors. The market capitalization of a company like Apple in December 2023 reached $3 trillion, exceeding the combined GDP of at least 140 countries. Last year, global private financial assets reached a record $291 trillion, of which some 50 percent is concentrated in North America. By contrast, the world’s nations together owed a global public debt of a record $102 trillion in 2024, of which so-called “developing” countries owe $31 trillion. While there’s a playbook for private debt and corporate bankruptcy, it’s a different story for the official debt owed by nation states. What happens when a state can no longer repay its foreign creditors?
Following a deep global debt crisis in the early 1980s, the world’s poorest states struggled to service impossible debts to foreign capital, leading to widespread revolts and humanitarian crises across the formerly colonized, developing countries of the Global South. Following the COVID-19 pandemic of 2020, the burden of this public debt is once again immense…
[van Mourik reviews some of the startling statistics cited above…]
… It is puzzling to see states prioritize the servicing of foreign debt, even when it directly harms their populations. Why not default? Experts at the International Monetary Fund and World Bank in Washington, D.C. claim that “there is no alternative” to what has become an ossified response to sovereign debt crises: cut the government budget, facilitate the private sector and grow your economy to repay your foreign debt. But what about when a state, fully cooperative with the policy measures prescribed by these institutions, still cannot repay its debts?
As a financial historian, this question led me to investigate a creditor that routinely takes center stage as countries attempt to navigate sovereign default, an institution so secretive that it has largely escaped the public eye. The Paris Club, an informal forum of representatives from creditor countries largely in the Global North, has steered the destinies of nations in financial peril, restructuring over half a trillion dollars in sovereign debt since its first meeting in 1956. Without its approval, countries face default and can effectively be prevented from accessing long- and short-term trade credit — credit that facilitates the uninterrupted flow of goods across borders, and can be compared to a country’s life blood. Without it, states are unable to access vital imports like food, fuel and medicine.
The Paris Club convenes to set up a new payment schedule for a country at risk of defaulting on its “official” debt owed to other countries. It is unique in that despite its pivotal role, it remains an informal institution. It comprises 22 major creditor countries, including the United States, Germany and France, and occasional ad hoc participants like India and China, which together coordinate reduced or rescheduled debt payments for a country facing default.
The Paris Club itself doesn’t lend new money. Instead, it “treats” a country’s debt payment schedule, either through rescheduling interest payments or, since the late 1980s, by offering the poorest countries a “haircut” and partially restructuring the debt. In its 70-year history, including the recent Debt Service Suspension Initiative, the Paris Club has treated a total of $863 billion of debt for 102 countries through 543 agreements; this amounts to around two-thirds of the world’s sovereign debt restructurings through 2010. A staggering legacy for a group that lacks any public oversight. With some pride, former chairmen of the Paris Club’s secretariat have called the Club a “non-institution” and “totally discreet if not secretive.”…
[van Mourik unpacks the operations of the Club and explains its symbiotic relationship with the IMF and its “structural adjustment” programs– AKA “austerity,” the reduction of debtor government expenses, often on social welfare, education, and healthcare (and often to painful effect)
… While the Paris Club rescheduled debt payments, the IMF designed programs that served to optimize a country’s ability to pay back interest and principal; the arrangement has over the years evolved into a debt restructuring routine in which debtor countries have little say.
The IMF today remains an institution in which the countries of the Global North have nine times more voting power than the countries of the Global South, as voting rights are tied to economic weight. In the Paris Club, a similar power differential is reflected in the spatial and temporal arrangement of the procedures, which borders on the theatrical. A debtor country’s delegation only ever confronts its creditors alone and is required to leave the room when they deliberate to set the terms of a deal…
[van Mourik explores the consequences of these deals, concluding…]
… creditor-dominated organizations like the IMF and the Paris Club allow rich countries to remain at the helm of a sinking ship. After all, as economist Daniel Munevar concluded following the COVID-19 pandemic, continuing within our current framework of debt servicing would “sound the death knell” for the world’s climate ambitions, as it prevents debtor countries from implementing the costly policies needed to meet ambitious climate targets. Others conclude that a serious degrowth strategy, one that prioritized ecological sustainability and social well-being over growth for its own sake, would require the countries of the Global South to default.
Various formations of countries across the Global South have proposed debt restructuring regimes, like the UN Framework Convention on Debt, that would “improve the fairness and transparency of debt resolution mechanisms.” Gabor, the economist, has called this new UN framework “a bid to wrest deliberative control away from the closed-door clubs where Northern financial might prevails.”The question is under what circumstances such strategies might be successful. Despite the Paris Club’s inclusion of non-Western members like Korea and Brazil, or the IMF and the Paris Club’s recent collaboration with China and the G20, the deck remains stacked against low-income borrowing countries, who “have little voice in any of these fora.”
The deeper challenge for all states is to reform a global financial architecture that evolved based on the interests of a handful of Western creditor states, at the cost of austerity and social destruction elsewhere. Debtor countries that wish to retain access to global markets — even for the most vital imports — must participate, and service their debt within regulatory frameworks over which they have no control and which have proven to be defective…
Who really controls international debt? “The Quiet Powerbroker,” from @thedialmag.bsky.social.
All this said, it’s important to note that in fact an alternative is emerging, but not one that’s in the spirit of the UN Framework. Even before the Trump Administration took the U.S. off the field, China had become the world’s largest development lender.

“How China Lends: A Rare Look into 100 Debt Contracts with Foreign Governments“:
We collect and analyze 100 contracts between Chinese state-owned entities and government borrowers in 24 developing countries in Africa, Asia, Eastern Europe, Latin America, and Oceania, and compare them with those of other bilateral, multilateral, and commercial creditors. Three main insights emerge. First, the Chinese contracts contain unusual confidentiality clauses that bar borrowers from revealing the terms or even the existence of the debt. Second, Chinese lenders seek advantage over other creditors, using collateral arrangements such as lender-controlled revenue accounts and promises to keep the debt out of collective restructuring (“no Paris Club” clauses). Third, cancellation, acceleration, and stabilization clauses in Chinese contracts potentially allow the lenders to influence debtors’ domestic and foreign policies. Even if these terms were unenforceable in court, the mix of confidentiality, seniority, and policy influence could limit the sovereign debtor’s crisis management options and complicate debt renegotiation. Overall, the contracts use creative design to manage credit risks and overcome enforcement hurdles, presenting China as a muscular and commercially-savvy lender to the developing world.
For a fascinating and illuminating on-the-ground consideration of these issues, see/hear Mary Kay Magistad‘s On China’s New Silk Road.
* Victor Hugo
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As we redesign debt, we might send thoughtful birthday greetings to Jean-Jacques Laffont; he was born on this date in 1947. An economist, he made pioneering contributions in public economics, development economics, and the theory of imperfect information, incentives, and regulation. Over the course of his career, he wrote 17 books and more than 200 articles. His 1993 book A Theory of Incentives in Procurement and Regulation, written with Jean Tirole, is a fundamental reference in the economics of the public sector and the theory of regulation. Laffont died in 2004; had he lived, he might well have shared the 2014 Nobel Prize for Economics awarded to his colleague and collaborator Jean Tirole for the work they did together.
He was uninvolved in the Paris Club; indeed, his last book, Regulation and Development, discussed policies for improving the economies of less developed countries in ways more consistent with the UN’s new framework than the IMF’s old-but-still-dominant playbook.
“Where grows?–where grows it not? If vain our toil, / We ought to blame the culture, not the soil.”*…
Even as agricultural land is becoming a coveted investment (as manifest in the purchases of billionaires like Stan Kroenke, Bill Gates, and Jeff Bezos, and by institutions like Nuveen and the Canadian Pension Investment Board and by publicly-traded REITs like Farmland Partners and Gladstone Land Corp), there’s another class of investor– with a very different use case– on the hunt. Joy Shin and Ryan Duffy report…
Last year, a datacenter developer started working the phones along Green Hill Road in Silver Spring Township, PA, outside Harrisburg. Mervin Raudabaugh got the call: a mystery buyer wanted to buy his 261 acres of farmland. The developer offered him $60,000 an acre for the land the 86-year-old had farmed for six decades. Mervin turned it down, selling to Lancaster Farmland Trust for <$2M instead, thereby locking the soil into agricultural use. “I was not interested in destroying my farms,” he told a local Fox affiliate.
Two things about this story might have been unthinkable a generation ago: that anyone would offer a farmer nearly $16M for that land, and that it’d be worth more dead (paved over) than alive (producing food).
The Supermarket of the World
For the better part of a century, that’s what America was. From 1959 through 2018, the country ran an agricultural trade surplus every single year, peaking near $27B in 1981, when soybeans, corn, wheat, and rice flowed out of the heartland in volumes that functioned as soft power and hard trade leverage. (When the Soviet harvest failed in 1963, Khrushchev had to buy American wheat through private US grain companies: at market rate, without credit, shipped on American vessels, which was a humiliation leveraged by his enemies to oust him the following year.)
Then, in 2019, the curves crossed. The U.S. has since run a deficit in four of the last six fiscal years. Last year, we imported $43.7B more in agricultural products than we sold.
Washington has started saying the right words. Last month, the USDA and Department of War signed a memorandum designating agriculture as a national security priority. Multiple bills linking food security to national security percolated through the last Congress. If you talk to the right folks in Washington, you’ll hear agriculture now being discussed the way semiconductors were in 2021 — as a sovereign capacity that a serious country cannot offshore.
All of which sounds right, none of which changes what is happening on the ground. Because the ground is the problem.
In real estate, you think in square feet, in proximity, in comps. Farmland trades in acreage, water tables, growing seasons, and soil composition. And right now, profitably farming that acre is just about the hardest it’s ever been.
Since 2020, seed costs have climbed 18%, fertilizer 37%, fuel 32%, and interest on operating loans 73%. Labor is up 50%. These costs never came back down after the 2021-22 supply chain shock, but crop prices did, creating a double squeeze on farmers. Farmland has appreciated nearly four-fold from ~$1,090/acre in 2000 to $4,170 in 2024.
Some 40% of U.S. farmers are over 65. The American Farmland Trust estimates nearly 300M acres will change hands through inheritance in the next two decades. When it does, the math facing each heir will look a lot like Mervin’s. What would you do: keep farming a business with collapsing margins, or if one was offered, take the check?
A Collision of Old & New Economies
Datacenters, chip fabs, and other megaprojects need what farms need: flat land, abundant water, reliable power, and access to transport.
In Loudoun County, VA, ground zero of America’s datacenter buildout, farmland already lists at $55,000–$79,000/acre, a significant premium over the statewide average because markets are pricing in the possibility the land will convert from farmland to computerland.
Conversions are large and getting larger. Meta’s $10B compute cluster in Richland Parish, Louisiana, sits on 2,250 acres of former soybean fields. Samsung’s new $17B fab occupies 1,200 acres outside Taylor, Texas, a town that once called itself the largest inland cotton market in the world. Micron’s $100B megafab is going up on 1,400 acres of former agricultural land and wetlands in Clay, New York. These are some of the largest private investments in American history, and among the most economically and strategically consequential bets we’re making as a country. You can’t help but notice the symbolism of it all: each is being built on rural land that was growing something one or two generations ago.
Datacenter developers, who already need some PR help, have seen local opposition to these projects emerge as a real planning risk, with farming families showing up at county meetings to argue that once the land converts, it will never come back.
Nobody should pretend this is irrational. A fab generates more economic value per acre than any soybean field ever will, the jobs pay better, and the strategic logic of onshoring chips is sound. But the math that makes each individual conversion obvious is the same math that, in the aggregate, leaves you structurally short on food. The country is losing about 2,000 acres a day, with 18M more projected to convert by 2040.
The Flow of Capital
As Washington works to subsidize the farming, to the tune of $10–$15B in federal support each year, Wall Street is betting on the land underneath it leaving farming.
Nuveen Natural Capital, a subsidiary of TIAA, manages $13.1B in farmland across 3M acres globally and recently launched a REIT targeting $3B in new capital. Those holdings have appreciated far beyond what crop income would justify, because it follows the pattern of a conversion optionality play: buy well-located agricultural land at agricultural tax rates and wait for rezoning.
Nearly 95% of American farms are still family-run, but most are modest operations. The 6% of farms generating $1M+ in sales produce 78% of everything, up from 69% just five years ago. Farming has developed the power-law distribution of a winner-take-most industry, except the winners don’t get to set their own prices. The family farm persists in name, but the economics (and economies of scale) increasingly push it to operate like a corporation or exit.
And institutional investors have some strange bedfellows on their side of the orderbook. Foreign investors held an interest in nearly 46M acres as of 2023 – 3.6% of all privately held farmland – up 85% since 2010. Canada alone holds 15M acres. China, which cannot feed its population from its own soil, built COFCO International into a state-backed grain trader that does $38.5B a year and accumulated millions of acres globally. Saudi Arabia was pumping Arizona’s groundwater through Fondomonte, a state-linked operation growing alfalfa for export, until Arizona killed the leases in 2023. Those countries treat productive soil as something worth a sovereign premium, and something you want to physically control…
[The authors recount the history of “Agro-Doomerism” and consider the (largely technological) potential solutions to the conundrum: “This is a hard problem, but it is a solvable one, as shown by the long history of technological revolutions in agriculture. Today, a set of technologies that were each too expensive or immature a decade ago have converged to the point where the raw inputs for a farm, ex land, can get radically cheaper, all at once.” They enumerate some of those potential saviors, and conclude…}
… The long arc of agro-doomerism and technological revolutions say there’s reasons for optimism. Many times before, the “math” said we’d run out of food; many times before, new science, systems, and processes came along that changed the denominator and proved the doomers wrong. Hoping and praying for AGI or another Norman Borlaug [the father of the Green Revolution] to save our bacon is not a strategy, but abundance-oriented technology stacks that don’t force a zero-sum choice between preservation and productivity might be. We should look at systems that help unfallow and uplift acres, making farmland competitive enough that we don’t pave over too much and one day realize we want the topsoil back – or our ag trade deficit erased.
The bet worth making is 1) to never bet against America, of course, and 2) that something similar will happen here: that productivity, not preservation alone, will close the gap. This is a generational opportunity, a category deeply in the national interest, and a sector wanting more capital, technology, engineers, and founders to show up. Those who get there first will be serving a gigantic market, and attacking a problem that Washington has acknowledged is existential but has no idea how to productively solve.
The supermarket of the world was built on cheap land and cheap water. Neither are cheap anymore, and both are being bid up by us – via population growth – as well as the industrial renaissance that we care so deeply about. But that doesn’t mean we can forget foundational inputs – literally – to our way of life…
Farming vs. fabs (and data centers)… American agriculture is caught in a collision between old and new economies: “The Supermarket of the World.”
* Alexander Pope
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As we contemplate cultivation, we might note that this, the third week in March, is National Agriculture Week.








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