Stocks for Thoughts · The Wage Bill, part two

Nobody taxes a machine.

The market has priced twenty‑five trillion dollars on AI taking a cut of the world's wages. The Treasury already spent that money.

DraftMargin the Fox · 10 August 2026 · a look at the second claim on the same wage bill

The last note ended on one number. For today's price to work, the typical American business has to go from spending $128 a year per employee on AI to something near $6,900. The top tenth of firms already pay it. Whether the middle follows, and how fast, is the whole trade.

Say it happens. Say the bulls collect.

Someone else is already collecting from that same pot.

Every dollar of American wages carries about 25 cents of federal tax — ten of payroll, three of Medicare, twelve of income tax. Across the whole wage bill that is $3.35 trillion a year, or 64% of everything Washington takes in.

Two claims on one wage bill. They cannot both be paid.

The market values its claim at twenty‑five trillion dollars. The Treasury spent its claim years ago, on pensions and hospitals and interest. Both can be paid, in principle — a government can tax the same income somewhere else. The point is that it currently doesn't, and that the arithmetic of not doing so is larger than anyone has bothered to write down. So that is what follows.

Visual — one dollar of American wages taken apart, then the same three taxes across the whole $13.4tn wage bill, with the cost of a displaced slice.

Two things about that table are worth sitting with. The first is scale, and it needs the two numbers put on the same footing. The Trustees express Social Security's seventy‑five‑year shortfall as 1.5% of GDP — and that figure is already an annual one, the average adjustment they calculate is needed in each year from now to 2100. A twenty per cent displacement costs about 2.2% of GDP a year. Larger than the gap Washington convenes a commission about every few years and never closes.

The second is direction. Every previous wave of automation hit the bottom and the middle of the income distribution, which was fiscally cheap, because those people weren't funding much. This one is walking uphill towards the people who are — and the tax system's grip loosens as it climbs. Wages are 84% of the income tax paid in the thirty‑to‑fifty‑thousand band, 59% at a million, and 36% above ten million. Past a certain altitude income stops looking like a wage and starts looking like a capital gain, and the code notices.

No forecast requiredTwenty‑five and five.

All of the above depends on displacement actually happening, which is slow, contested, and easy to argue about for a very long time.

This next part doesn't.

Acemoglu, Manera and Restrepo went and measured what the American tax code charges for the two ways of getting a piece of work done. Hire a person: an effective rate of 25.5%. Buy the equipment or software that does the same job: about 5%.

Not a loophole. Not aggressive planning. That is the statute working exactly as written.

The code charges five times as much to employ someone as to replace them.

Visual — the effective marginal rate on the two inputs today, against the rates the same authors calculate would be efficient.

So thirteen months ago, in the middle of the largest corporate capital build in history, Congress made the discount on automation permanent. I don't think that was aimed at AI. Full expensing has been a mainstream Republican tax position for twenty years and it was sold as a manufacturing measure. But intent is not the same as effect, and the effect is a twenty‑point wedge that widens precisely as the substitution gets easier.

How to read the numbers from here

1800Britain, and the thing everyone gets wrong.

The reassurance is always 1800. It worked out, look at us now.

The received version is Robert Allen's: output per head up 46% between 1780 and 1840, working‑class real wages up 12%. Sixty years of the machines working and the workers not getting paid.

Nicholas Crafts went back at the numbers in 2020 and found something else. Labour's share of British national income was 61.0% in 1770 and 60.2% in 1860 — essentially unmoved. Capital's share nearly doubled, but the counterpart wasn't wages. It was land, which collapsed from 21.8% to 8.5%. The great redistribution of the Industrial Revolution ran from landlords to factory owners. The workers weren't robbed.

So why were wages flat? Because output was. Total factor productivity ran at 0.32 to 0.38 per cent a year before 1830. Crafts's own verdict: "more like a story of paradoxically slow productivity growth than of pro-rich growth."

Three things fall out of that, and all three are about now.

The aggregate saw nothing while the specific was carnage. By 1851, at the height of it, textiles, metals and machine‑making together were 13.4% of employment. Agriculture and most of services were, in Crafts's words, largely unaffected. The Industrial Revolution touched about an eighth of the workforce.

The handloom weavers are the whole skill argument in one trade. Two hundred and forty thousand of them in 1820. Forty‑three thousand by 1850. Weekly real pay from 276 pence at the 1805 peak to 75 pence by 1830 — down 73% while they were still employed. The evidence does not show them moving into better‑paid replacement work: a skilled craft was destroyed and the jobs that took its place went to cheaper unskilled operatives. Only the second phase — engineers, mechanics, clerks — was the kind that raises wages, and it arrived a generation late.

And the clock.

Visual — years between a general-purpose technology arriving and the period it contributed most to measured productivity, with the same three technologies re-dated three ways.

If AI runs on that clock, everything about it is real and the payoff lands two decades after the capital was committed. Which is a problem for a market, and a much bigger problem for a Treasury that has to fund the gap in between.

Resist the obvious next step, though. The lags do shorten — Comin and Hobijn measured two centuries of it, and a technology invented ten years later is adopted 4.3 years faster — but the rate at which they shorten depends entirely on which moment you call the invention, and four defensible ways of running the trend forward put AI's payoff anywhere between 2022 and 2034. A sixteen-year spread is not a date. It is the reason this argument has to be built on the tax code, which you can read today, rather than on a clock nobody can set.

Four valvesHow Britain actually paid.

Britain got through a forty‑year wage pause. It is worth asking how, because the answer is not the one people assume, and it is not transferable.

Visual — the four mechanisms that absorbed the cost of the first industrial transition, and their modern equivalents.

There is a refinement worth making, because it cuts against Britain too. Excise fell on beer, malt, sugar, tea and soap — so the Exchequer depended absolutely on working people spending. It held up because the population was growing 1.1% a year. Consumption per head stagnated; there were simply more heads. Britain's tax base was rescued by demography.

Ours is going the other way.

Three doorsSo where does the cost land?

Britain had the worse balance sheet and got through by handing the bill to people with no voice. We have the better balance sheet and nobody to hand it to. Which means the cost has to land somewhere else, and there are three doors. It is not Margin's job to tell you which one to walk through.

Tax capitalthe efficient one

The Acemoglu reversal — labour down, capital up. It has been sitting in the literature for six years, and it is the exact direction Congress moved away from in July 2025.

Borrowthe default one

Federal debt held by the public is 100.6% of GDP now and heads for 175% by 2056 on CBO's baseline — a different and narrower measure than the general‑government gross figure used for the international comparison below. Net interest is already larger than defence and is projected to add 3.6 points of GDP over thirty years — more than twice the entire Social Security shortfall, with AI touching nothing.

Cutthe historical one

Britain's answer in 1834, and the honest base rate. When a state under fiscal pressure has to choose between bondholders and beneficiaries, the record is not ambiguous.

One paragraph on Europe, because the comparison runs the opposite way to the one people expect. Continental states raise 24 to 26 per cent of GDP from taxes on labour, against 16.3% in the United States, and they are ageing considerably faster — old‑age dependency around 41 to 43 today in France, Germany and Italy against 31.7 in America, and 74 to 76 in Italy and Spain by 2050. The American advantage is on the revenue side and the demographics. It does not extend to the balance sheet. On the IMF's general‑government gross measure the United States is at roughly 126% of GDP for 2026 — below Japan at 204%, Italy at 138% and Greece at 137%, but above France at 118% and Spain at 98%. American borrowing is now on the same scale as Europe's most indebted states, which was not true a decade ago.

The other sideWhat the calm crowd skips.

The bears in this particular argument are the people saying it doesn't matter, and they have a real case.

Nobody official thinks this is happening. The 2026 Social Security Trustees Report — the document that determines when the fund runs dry — contains zero mentions of artificial intelligence, automation, or technological displacement. The Medicare report: zero. The Chief Actuary's testimony to the Senate in March: zero. The Congressional Budget Office does model AI, as a productivity tailwind worth a tenth of a point a year, and never carries it through to trust fund solvency at all. In CBO's optimistic case, AI reduces federal debt.

So every official projection of the American fiscal future currently assumes AI either doesn't happen or helps. That is either a warning or a reassurance, and reasonable people read it both ways.

The measured labour effect is still tiny. The clearest finding anyone has is Brynjolfsson, Chandar and Chen's, drawn from ADP payroll records for millions of workers a month: a 6% employment decline for twenty‑two to twenty‑five year olds in the most exposed occupations, against a 6 to 9% rise for older workers in the same jobs. It is a difference‑in‑differences estimate on one payroll provider's panel, not a clean causal identification, and it says nothing about pay. Aggregate studies find close to nothing. And adoption is still thin: the Census Bureau's fortnightly survey put firms using AI in any business function at 17 to 20 per cent through the first half of this year, with 20 to 23 per cent expecting to within six months.

And states tolerate tax asymmetry for a very long time. The gap between the tax on labour and the tax on capital has been widening since about 2000 and no government has fixed it. Betting that this is the one that finally forces the issue is betting against a twenty‑five year losing streak. That is the strongest thing anyone can say against this note, and I don't have a clean answer to it.

The trade contains its own tax

So here is where the two claims meet.

The bull case is that AI captures a slice of the world's payroll — Huang's own arithmetic puts it at around ten trillion dollars, and the market's price implies something like two‑fifths of that. Take it seriously. Assume it happens.

Then the wage bill shrinks, and with it the twenty‑five cents on the dollar that funds the American state. And no government financed by payroll can go on charging 25% to employ a person and 5% to buy the machine that does the same job. Not once the machine is winning. The asymmetry is affordable precisely while automation stays small.

Which means the bull case for AI is the bear case for the tax treatment that makes AI cheap.

If the trade is wrong, the price falls. If the trade is right, it becomes the largest untaxed income stream in a country that has run out of taxed ones — and the people who need the revenue will go and find it. Acemoglu's reversal stops being a working paper and becomes a budget line.

Whoever reaches the wage bill second is going to want a word with whoever got there first.

You can read the tax code today. It was rewritten thirteen months ago, and it picked a side.

The receiptWhat's real, what's noise, and what we still don't know.

What's real

  • 64% of federal revenue rests on labour — $3.35tn a year, against $452bn from corporations. A 10% wage displacement costs $336bn a year.
  • The tax code charges 25.5% to hire and about 5% to automate. The 2025 Act made full expensing permanent, which drives the rate on equity‑financed qualifying equipment and software towards zero.
  • No official baseline carries AI displacement through to solvency. CBO models it only as a 0.1pp productivity tailwind; the 2026 Trustees Report does not mention it at all.
  • Britain carried 194% debt through its transition and still paid bondholders first, while the people bearing the cost were largely unable to vote.

What's noise

  • "This is a Social Security story." Net interest alone adds 3.6 points of GDP by 2056 — twice the entire shortfall, with AI touching nothing.
  • "Reskilling will absorb it." Handloom weavers went from 240,000 to 43,000 with real pay down 73%, and nobody retrained them into anything.
  • "The Industrial Revolution robbed workers." Labour's share barely moved. The share that collapsed was land.
  • "Europe is better placed." It raises 24–26% of GDP on labour against America's 16.3%, and is ageing faster.
  • "Each technology pays off twice as fast." The direction holds under every dating rule. The ratio survives none of them, and extrapolations range across sixteen years.

What we still don't know

  • Whether displacement happens at all. Firm adoption is 17–20% and aggregate employment effects are near zero.
  • The clock. Steam peaked a century after Watt; electricity took forty years. AI can be entirely real and still pay out long after anyone's holding period.
  • Whether Washington ever closes the labour–capital gap. It has widened for twenty‑five years untouched, and that is the best argument against everything above.
  • Who captures the displaced income, and whether it is taxable where it lands.
  • Whether any of this becomes political before it becomes arithmetic.
A framework for thinking, not a forecast, recommendation, or investment advice. Foliox is not a registered adviser or dealer. Federal receipts by category from CBO, Monthly Budget Review: Summary for Fiscal Year 2025 (November 2025), Table 2 — total receipts $5,235bn, individual income tax $2,656bn, payroll taxes $1,748bn, corporate income tax $452bn, customs duties $195bn. The wage base of ~$13.4tn is BEA wages and salaries; the wage share of individual income tax liability (59.9%, against a 66.8% share of AGI) is from IRS Statistics of Income. The 25¢ blended rate and every row of the displacement table are my own derivation from those inputs and assume no offsetting revenue from whoever captures the displaced income — which is the open question, not a settled one. Effective marginal tax rates on labour and capital, and the computed optimal pair, are from Acemoglu, Manera & Restrepo, Does the US Tax Code Favor Automation?, Brookings Papers on Economic Activity, Spring 2020. Bonus depreciation: Public Law 119‑21, §70301; Joint Committee on Taxation scores JCX‑35‑25 (−$363bn for §168(k), −$737bn for §199A). Industrial Revolution figures from Crafts, Understanding Productivity Growth in the Industrial Revolution (Economic History Review, 2020), in preference to Allen (2009) where the two disagree — a choice, and readers should know it was made. Handloom weaver counts and wages from Bythell and Lyons. Emigration from Baines; franchise shares from Craig; social spending from Lindert; the 1821 debt ratio and debt-service share from the Bank of England's A Millennium of Macroeconomic Data. The 2056 projections of 175% debt and 6.9% net interest are secondary, via CRFB's summary of CBO's 2026 Long-Term Budget Outlook, and require direct verification against the CBO workbook before publication. Trust fund figures from the 2026 OASDI and Medicare Trustees Reports; the zero-mention counts are my own text searches of those documents. Technology-lag figures from Crafts (steam), David, The Dynamo and the Computer (AER 1990, electricity), and the BLS multifactor productivity series (computers), with the alternative dating rules and their sensitivity shown in the visual; the 4.3-years-per-decade acceleration in adoption lags is Comin & Hobijn, An Exploration of Technology Diffusion (HBS 08-093; AER 2010), and measures adoption rather than peak productivity effect. Labour-market effects from Brynjolfsson et al.; adoption from Census BTOS. European comparisons from OECD revenue statistics and UN population projections; the international debt comparison is IMF general-government gross debt for 2026, which is a wider measure than CBO's debt held by the public and the two are not interchangeable. Firm adoption from the Census Bureau's Business Trends and Outlook Survey, 14 December 2025 to 3 May 2026 (17-20% using AI in any business function, 20-23% expecting to within six months); note the AI question was revised in November 2025 from 'producing goods or services' to 'any business function', so readings either side of that date are not comparable. The Social Security shortfall is quoted as the 2026 Trustees Report states it - 4.42% of taxable payroll, or about 1.5% of GDP - which is the average annual adjustment they calculate is needed across 2026-2100, and is therefore comparable with an annual flow. Figures move.