Economics: Weekly Summary (November 10-16, 2025)

I’d say this week in the economics blogosphere felt like standing at a busy street corner and trying to follow three different conversations at once. Voices kept drifting together — AI, money and markets, political power, and the old, stubborn questions about land and housing. To me, it feels like everyone is talking about the same underlying worry (who ends up with the gains?) but from very different doors. Some of the pieces are short and punchy. Some are patient and archival. All of them tug at the idea that the rules of the game might be shifting, or at least being loudly debated.

The AI bonfire (and smoke)

There’s a recurring theme about AI: heavy investment, iffy returns, possible bubbles and real costs to jobs and infrastructure. Read a few of these posts back-to-back and you get the picture — shiny promises up front, messy reckonings behind.

Vikram Sekar lays out a pretty stark thought experiment in “The Four Horsemen of the AI Infrastructure Buildout.” I would describe his four risks as the plumbing problems nobody wants to think about: chips, energy, supply chains and money. It’s like buying a high-end espresso machine and then realising the house wiring can’t handle it, the water pressure is dodgy, and spare parts come from the other side of the world. Sekar’s voice is cautious; he doesn’t scream bubble, but he makes you squint at the balance sheet.

Then there’s the more accusatory tone. The Trichordist piece about David Sacks — yep, The Trichordist — calls out a circular-investment maze where people and funds keep shoving money around the same set of firms. The claim is uncomfortable: part venture euphoria, part political capture, part echo chamber. The comparison to dot-com feels intentional. It’s one of those posts that smells faintly like history repeating itself unless someone remembers the previous footnotes.

On the money-and-returns question, Jamie Lord provides a neat, tangible example: Sweetgreen went from being a salad chain to calling itself an automation company after buying a robotics startup. The robotics bit got sold for $186 million while the restaurants struggle. To me, that is the week’s clearest picture of the mismatch: companies rebrand or buy tech stacks to chase narratives, but the customer-facing business doesn’t magically improve. It’s practical, a bit sad, and oddly familiar — like when your mate buys a fancy camera but still posts shaky photos.

That skepticism shows up elsewhere. Better than Random asks directly: is the AI industry a bubble? The answer isn’t a neat yes/no. The post points out a split between industrial investment (long-term, capital expenditure) and financial froth (levered funds, private credit). It’s like saying there’s a lot of concrete poured, but some of it might be poured into sand.

And then there’s labor: Michael Spencer and others are tracking the job fallout. Middle managers, Amazon layoffs, the nervous tension of companies squeezing headcount to boost margins — the story is clear enough. To me, it feels like automation and AI are being used as both tool and excuse. The tools do real work. The excuse sometimes hides basic cost-cutting.

Read these together and you’ll notice a pattern: money chases narratives; narratives chase valuations; valuations chase outcomes that don’t always arrive. If you like reading about bubbles, this week’s material gives you both the intrigue and the technical nitty-gritty.

Jobs, numbers, and the shutdown background hum

Two themes mingle here: the high-level macro signals and the day-to-day experiences people live with. The government shutdown was a drumbeat this week.

Mike "Mish" Shedlock shows up in multiple posts. One about consumer sentiment reports the University of Michigan survey plunging — current personal finances falling like a bad stock. Another of his pieces links market moves (gold, bonds) directly to the shutdown deal and the political scramble. Mish is the kind of writer who points at a chart and says “see that?” He often sees markets as honest translators of policy noise. If the bond market moves, Mish wants you to look.

And the shutdown was real money for real people: federal workers, delayed benefits and a cloud over data releases. That then feeds into consumer sentiment. Mish highlights that worry, and it’s a reminder that politics is not theatre when paychecks stop.

Meanwhile, Derek Thompson takes on the generational story in “Are Young People Screwed?” His piece is more balanced than the headline makes it sound. Yes, young people face housing costs, student debt, and job market shifts. But some measures show progress too. I’d say the post reads like someone trying to calm a tense family dinner: admit the problems, but don’t spin doom for clickbait. It’s worth reading if you want nuance.

There’s also the weird cocktail of incomplete data. A shutdown delays jobs reports and policy moves — which then feeds the very narratives people use to make hiring or investment decisions. It’s a feedback loop. To me it sometimes feels like trying to navigate with a foghorn instead of a GPS.

Money, trust, and the moral side of inflation

This week also had several pieces that pull back from charts and ask: what does money do to families, values, and social trust?

Quoth the Raven dug into Jeffrey L. Degner’s ‘Inflation and the Family’. The take is old-school conservative in tone — inflation isn’t just numbers; it erodes family formation, marriage, the social glue. The argument draws on Austrian economics, and it’s unapologetically moral. Call it the human-angle-of-inflation piece. Some readers will nod; others will bristle at the prescriptions. I would describe the piece as a reminder that monetary policy has human shapes, not just GDP lines.

That personal side shows up again in other posts: Kevin Erdmann highlights how rising rents can pull the rug out from folks earning under $50k. He shows that headline income gains can hide a lot if your rent has doubled. He’s blunt: the economy is improving, but not evenly. You get the sense of being in a town where the parade goes by and half the people can’t hear the music because they’re working a second shift.

And then Tim Harford’s piece, reported by bookofjoe, gives a small philosophical relief: money exists because people don’t fully trust each other. Harford’s metaphor — “money as frozen desire” — is nice because it’s simple and oddly practical. It’s like money is the IOU you leave on the kitchen table so your flatmate knows you meant to chip in. The line is a good human counterpoint to the high-finance talk.

Land, housing, and the slow squeeze

Land and housing keep coming up. It’s not new, but the arguments this week were detailed and worryingly clever.

Joseph Addington reviewed Mike Bird’s The Land Trap, and the review reads like a warning shot. Bird argues that when land gets financialized, economies stagnate. The examples from China are sharp: town-by-town land sales propping up growth that might not be sustainable. I’d say the thesis feels like watching a pot boil: short-term steaminess, long-term empty pan.

That connects to the New York mayor stuff — two posts by Quoth the Raven about Zohran Mamdani. One is a critique of ideas like rent freezes and city-owned bodegas. The other calls the platform paradoxical: the policies aim to help but might make things worse if not carefully implemented. The New York conversation has local colour — think bagels, subway delays, borough politics — but it’s also about national math: how do you help people without breaking the housing market?

And then there’s the “Make Britain Rich Again” note from James O’Malley, which hops around but does touch on growth and anti-NIMBYism activism. It’s folksy and sprinkled with domestic cultural references. The piece reads like a Sunday paper column: wide-ranging, sometimes cheeky, and with an eye on what gets built where.

Looking across these pieces, there’s a repeated idea: the rules around land and housing are quietly shaping inequality more than flashy fintech or stock tickers. Housing is the stubborn cousin that refuses to be fixed with a software update.

Politics of money: who pays, who wins

Politics and money intersect in different ways. Some authors warn about concentrated political power; others trace policy moves that affect everyday prices.

Naked Capitalism ran a dialogue with Tom Ferguson and Nick French on “Red Tech.” The theme: big money, especially from tech, has serious political power and it’s not always visible. Ferguson’s investment theory of politics shows up in a way that you can’t ignore — money doesn’t just buy ads; it changes who sits at the table, whose problems get solved, and which unions have the muscle to fight back. To me, that felt like watching a football match where the referee is confused and the crowd decides who counts as a foul.

And on trade policy, Mike "Mish" Shedlock covered President Trump’s rollback of some food tariffs — beef, coffee and more — framed as a retroactive fix for rising prices. It’s politics meeting the till. The post points out that while this maneuver gives consumers some relief, other tariffs remain. It’s typical political triage: pick a few painful items, soften them, and leave the structural issues for another day.

There was also critique of the neoliberal money view by Dougald Lamont in “The Fatal Mistake at the Heart of Neoliberal Capitalism.” He pushes a chartalist interpretation — money as legal obligation rather than a fixed commodity. It’s dense, but the practical takeaway is provocative: policy debates about debt and taxation change radically if you stop treating money like a physical object. It’s the kind of post that makes you want to re-open an econ textbook and throw it out the window, then read it again.

Throw in the post about price gouging and meatpackers from Mish, and you see a theme: politicians perform, markets respond, and the public gets a mix of relief and confusion. If there was an image for this week, it’s a game of musical chairs with the music changing genres mid-song.

Productivity, concentration, and the fragility of growth

There’s a quieter, nerdier conversation about where productivity growth actually comes from. Two posts make the same point from different angles.

MBI Deep Dives examines the Great Concentration of productivity: IT has generated massive TFP growth while representing a small share of value added. Prices plunged even as real output soared. The paradox is haunting: we celebrate productivity but the gains don’t diffuse widely. To me, it reads like a magician’s trick — the rabbit is dazzling but you’re left wondering where the tablecloth went.

That ties back to the AI infrastructural worries. If a narrow tech corridor underpins much of the growth, any shock to that corridor (chip shortage, energy costs, a credit squeeze) could ripple outward. That’s exactly the picture Sekar sketches.

There’s also a manufacturing and tacit knowledge post from Gad Allon arguing the U.S. lost more than factories: it lost the know-how. Rebuilding manufacturing is not plug-and-play; it’s cultural and educational. The claim is practical and a little wistful: once the assembly-line wisdom leaves, it’s not easy to hire it back. It’s the echo of a rusting factory you drive by and half-expect to see ghosts in the windows.

History, methods, and a few good odd bits

Some posts this week were not about immediate policy but still important because they ask different, slower questions.

Irwin Collier found Harvard’s 1920–21 economics course readings. It’s archival, neat, and oddly refreshing. Reading a syllabus from a century ago makes you remember that economics has always been a mix of math, philosophy and moral questions. The past is quieter, but it helps you see that current debates are not brand-new.

John H. Cochrane warns about the limits of the causality revolution in econometrics. It’s a methodological nudge: yes, causal identification matters, but it doesn’t explain all the variation. His point is subtle and important. If causation explains only part of the picture, then our policy prescriptions might be thinner than we think.

A few pieces that don’t fit neatly into the categories above are still worth a mention. Nathan Knopp writes about technological unemployment and Marx’s old warnings. It’s philosophical and a little alarmist, but the core question is genuine: what happens when machines replace jobs at scale?

Paul Kedrosky throws in an international mix: Asia’s emissions surpassing the West and youth disconnection in the US/UK. These are reminders that economic questions are not just domestic; they’re global and cultural.

Little things that keep the week human

Some posts are charmingly local or eclectic. James O’Malley hops from the Aztec Calendar to battery storage in Kent to holiday notes. It’s a reminder that economics is not only theory; it’s also the hum of everyday life — batteries, buses, films. That homely perspective matters.

And there were link-roundups from Naked Capitalism and others that feel like a radio host saying: here’s what I heard, now go look. They’re useful, if scattershot.

What kept repeating

If I had to pick the chorus line of the week it would be: concentration breeds fragility, and policy lags human experience. The neurotic focus on AI money and infrastructure shows up beside long-standing, stubborn problems — housing, trust, wages. People keep saying the same thing in different accents: the gains are uneven; the tools are powerful; the rules are fuzzy.

You might read one piece and feel anxious about machines. Read a second and you’ll be worried about tariffs. Read a third and the family and housing stories will tug you back to ground. The blogosphere this week behaves a bit like a lively pub on a rainy night: everyone’s shouting over one another, but the central topics — jobs, money, power — are the reason people came.

If curiosity bites, follow the links. Some of the best bits are in the details: the data Mish points to, the Harvard syllabus Irwin dug up, the nuts-and-bolts of Sweetgreen from Jamie Lord. There’s a lot more on each author’s page if you want to take a deeper dive.

I’d say keep an eye on three things next week: how markets price AI risk (bonds and gold are telling), what the data say once the shutdown noise fades, and whether any big policy shifts try to tame land and housing markets. Or they won’t — and that will be a story too.