Economics: Weekly Summary (December 01-7, 2025)

I’ll say straight up: this week’s economics posts felt like a messy family dinner where half the relatives are arguing about money, and the other half are quietly fixing the plumbing. Some loud themes come through — tariffs and legal fights, AI as a giant physical machine, and a nagging mismatch between official data and how people actually feel. I would describe them as overlapping conversations, like neighbors in adjacent yards shouting about the same fence. You can pick any one of these pieces and get a complete little world, but reading a few together gives you the real picture.

Tariffs, trade, and the lawsuits that smell like politics

There’s a cluster of posts all circling the same kettle: U.S. tariff policy and how businesses are reacting. The headline-grabbing stuff is in The Allen Analysis’s write-up about Costco suing the administration. It reads like a small-business revolt, except it isn’t small — Costco is big, and their lawsuit frames those tariffs as not just painful but likely unlawful. Read that and then jump to Dean Blundell and his piece about Howard Lutnick — which takes the same policy and adds a whiff of insider games and corruption. Lutnick’s name being tied to the tariff-refund machinations makes the whole thing smell worse, even if some of the legal threads are still being wound in the courts.

Mike “Mish” Shedlock keeps returning to tariffs in a different way: how they distort manufacturing numbers, how they feed complexity into supply chains, and how small businesses get lost in the middle. His posts on tariff complexity and on PMI differences feel like someone who gets the numbers and also sees the practical frustration. I’d say his voice is the one that tightens the knot: tariffs aren’t just policy — they’re bookkeeping nightmares and job killers in certain sectors.

There’s an echo with the payroll findings from Revelio Labs covered by Mish and the bankruptcy alarm raised by The Allen Analysis. The payroll losses, the rising bankruptcies — they feel connected. To me, it feels like someone turned the thermostat down and half the house is shivering. People point fingers in different directions — policy choices, macro cycles, supply chains — but the common thread is real pain for businesses and households.

If you want the melodrama, Dean Blundell and The Allen Analysis serve it hot. If you want the practical grind of tariffs, read Mish. If you want to see the legal stakes, go open the Costco case. It’s that simple: different angles on the same bruise.

AI: not just code but concrete and power bills

There’s a neat little rebellion against the idea that AI is only software. Dave Friedman argues AI is infrastructure — heavy, physical, capital-intensive. That image stuck like gum on a shoe. Think of AI not as an app you download but as a new subway line: expensive to build, built on land, power, and cement, and it changes a city’s map. Kevin Zhang follows with a practical investor lens: capex is driving GDP now, and we’re not sure the revenue follows. That feels like someone building a mall where shoppers may never show up.

There’s skepticism in the room. Nick Heer points to a possible plateau in workplace AI adoption. He’s suspicious of noisy headline metrics and wants to see whether AI actually helps people day-to-day. That skepticism is practical and a little weary. It’s like being sold a “miracle blender” that looks shiny but you’re not sure what you’ll actually make with it.

Then there’s the governance pile. Dr. Colin W.P. Lewis brings in Gillian Hadfield’s argument that law and institutions are badly fitted to AI’s speed. The metaphor used in several pieces is helpful: AI isn’t a toy, it’s a new highway — but the signs are wrong, the speed limits don’t match, and the traffic cops are using last year’s radio. Hadfield’s point that we need institution-aligned governance rather than mere preference alignment sticks. It’s like saying you don’t just need a driver’s manual; you need city planners who actually understand bridges.

If you want some stock-market color, Alex Wilhelm and Paul Kedrosky note IPO chatter (Anthropic possibly going public) and the larger capex regime changes in tech. Taken together, these posts make AI feel like a capital gamble with a story arc: big spend today, uncertain reward tomorrow, and messy social governance in between.

Money, currencies, and the old/new safe havens

There’s an ongoing conversation about money that’s half nostalgic and half paranoid. Quoth the Raven ran two pieces — one on the gold standard and another riffing on the ‘debasement trade’ and Lyn Alden — and both read like a person holding an old coin in their palm and squinting. The gold standard post is historical, tidy, and useful as a benchmark. The Lyn Alden/debasement piece puts current investor instincts into a fifty-year context: people buy gold and bitcoin because they fear the currency slowly losing flavor, like stale bread.

This worry feeds into other posts. People writing about bankruptcies and inflation — Naked Capitalism and The Allen Analysis — are less philosophical and more alarmed. They see real household strain and worry that political leaders are smoothing over the pain. The tone is different from the intellectual gold-standard riff. It’s more like a neighbor saying, “My credit card bill just doubled,” not, “I shall covet the anchor of metallic currency.”

Labor, jobs, and the feeling-versus-data gap

A persistent thread: official numbers don’t always match how people feel. This week’s favorite label for that mismatch is ‘vibecession’ — Scott Alexander takes the term apart, arguing that yes, some indicators got better but the mood is rotten — especially among young folks who feel priced out and stalled. That echoes Naked Capitalism and the bankruptcy reporting: the mood and money both matter.

Job counts are messy, too. Revelio’s report shows modest declines in payrolls, and Paul Kedrosky circles back to productivity and aging populations versus AI-driven gains. Together, they read like a tug of war: on one side, the old demographic handbrake; on the other, a possible new traction from automation. The result? Nobody’s sure whether the car will go forward, stall, or rear-end someone.

There’s also the more visceral take on future job losses from automation. Matt Mullenweg points to the labor risks of self-driving vehicles — taxi, bus, and truck drivers could see big changes. That’s practical, simple, and a little frightening. It’s not abstract; it’s a paycheque question.

Resource economics, geopolitics, and the costs of extraction

Natural resources and the politics around them keep popping up. Jon Keegan has a quietly nerdy piece about the USGS geological map and the high ROI of good mapping. It’s almost prosaic: spend a dollar on careful mapping, get seven to ten back because people build smarter, avoid hazards, plan better. It’s government spending that actually pays for itself if someone will only steward the investment.

Contrast that with pieces on oil and pipelines. Peter Sinclair lays out how Venezuelan oil is expensive to extract and process — he calls a spade a spade: some oil simply costs more than world prices allow. Dougald Lamont rakes through the Canada-Alberta pipeline MOU and argues the deal is spun in political colors that don’t match the economics. Both pieces show that resource policy is messy, with a lot of politics on top of material reality.

And then there’s Gaza. Juan Cole writes a wrenching account of an economy turned to rubble. When an economy shrinks by 87%, and incomes fall to pennies on the dollar, the calculus of rebuilding becomes both moral and technical. It’s a reminder that economics is sometimes arithmetic and sometimes tragedy.

Old exams, forgotten frameworks, and alternative systems

If you like curiosity and time travel, Irwin Collier offers a small museum of economic pedagogy: Johns Hopkins exams from 1931–32 and Harvard syllabi and finals from 1909–1910 and 1968. These docs are charmingly formal and a little eerie — they show what professors thought mattered during crises. The takeaway: economists have always wrestled with production, distribution, and the limits of policy.

That’s a good segue to Branko Milanovic’s (Branko Milanovic) piece on post-Stalin Yugoslav economics and the worker-managed model. The Yugoslav story is kind of like an alternate cookbook: try different ingredients, see if the cake still rises. Marko Grde1i7 and Mislav itko’s recovered texts show an energetic debate around worker self-management and whether factories should aim for profit or living wages. It’s a reminder that whole systems have been built to answer the question: who is production for?

Nathan Knopp’s (Nathan Knopp) “Great Iceberg Roll” and other pieces about worker co-ops also nudge in that direction. They’re less historical and more speculative: what would a bottom-up economy look like? The tone here is hopeful in a cranky, practical way — as if someone were saying, “We’ve tried the usual recipes; why not try the old family one?”

Cities, housing, and the little economics of big places

Urban pieces keep circling affordability in a stubborn way. Scott Sumner writes about the paradox: build more housing in a place like Seattle and prices might not fall, but more people get to live there because productivity lifts incomes. It’s annoyingly nuanced, and that’s the point. Housing policy is less about simple supply fixes and more about how incomes, mobility, and amenities fit together.

There’s also a small, nostalgic thread about malls and retail from untitled. It’s charming: memory of niche stores that sold one kind of beanbag chair and now everything is Amazon. That little retail elegy ties into the bigger issue: consumer structures are changing, and with them, the labor and local economies.

Public health, numbers that should matter more than GDP

Domo Futu pushes an interesting idea: healthy life expectancy (HALE) should be the one number that matters. It’s a crisp, moral argument: maybe we should measure how long people live well, instead of just counting money. It’s appealing because it connects economics to daily life in a clear way. If GDP is a scoreboard, HALE is the quality-of-play metric.

That thought loops back into stories about bankruptcies, inflation, and the vibecession. If people are living longer, healthier lives, it changes everything. If they’re not, then economic growth is a hollow trophy.

Where people agreed, and where they shouted past each other

There’s some surprising agreement. Most writers accept a few basic points: chains of production are more fragile than people assumed; policy choices can hurt firms and workers in visible ways; AI is expensive and institutionally disruptive; and raw data can be misleading — context matters.

Where they disagree is fun. Some writers see tariffs as strategic tools (even if clumsy), others see them as lawless overreach that shrinks commerce and livelihoods. Optimists about AI see big productivity gains; skeptics see a plateau or a bubble. Some look to old monetary rules like the gold standard as anchor points; others think modern finance needs different guardrails.

It’s the classic economics pattern: same facts, different metaphors. One person likens tariffs to a blunt instrument. Another compares them to a tax on dinner. They’re both right in their way. You notice the difference when you move from reading to feeling: numbers tell one story; bills and job offers tell another.

Small things that kept coming back

A few small ideas kept returning like a chorus. One was the idea that infrastructure matters — not just bridges but data centers and geological maps. Another was that legal structure matters: courts and governance shape whether policy survives or collapses. And lastly, the persistent human thread: mood, perception, and lived experience keep arriving to complicate tidy macro stories.

I’d say these posts collectively make economics feel less like an ivory tower and more like a messy kitchen. Someone’s burned the roast, someone else is seasoning the gravy, and a third person is fretting about the bill. You get explanation, nostalgia, outrage, and a little dry humor.

If you want to wander deeper: read Quoth the Raven on gold and debasement, Dave Friedman on AI-as-infrastructure, Mish on tariffs and PMIs, and Gillian Hadfield (via Dr. Lewis’s notes) on governance. For the human side of economics, don’t skip Scott Alexander on vibecession and Domo Futu on HALE.

There’s a lot more in each thread. The interesting bit, to me, is how these different strands tug on one another — tariffs hit firms, which show up in employment numbers, which feed mood, which politicians spin, which then affects markets and investor bets on AI capex. It’s not tidy, but it’s honest work.

If this were a potluck, you’d leave with pockets full of recipes you didn’t know you needed. Some are sweet, some burn your tongue, some you’ll try next week. Read the posts if you like details; if you’re like most of us you’ll read the headlines and still feel the hum under it all — the economy humming, wheezing, and sometimes sparking.