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Capex Watch

Tracking the bet

The front page sets out what the AI spending must earn back and where the money could come from. This page keeps the score: three clocks that time the boom and a fourth that counts what it costs while they run, the revenue arriving against the revenue required, which companies can still pay for their own building, and every set of results as it lands, newest first.

The scoreboard

This boom has a deadline, because the chips it runs on wear out on a known schedule.

Three clocks are running. First, investors can lose patience with the missing revenue at any time, a risk made sharper by the 2026 inflation shock and the interest-rate rises markets now expect (for the geopolitical background, see Geo-V). Second, the chips bought in 2024–25 must be replaced around 2027–29, and that second round of spending will have to be paid for out of revenue rather than confidence. Third, the debt raised in 2025–26 comes due around 2028–30 and will have to be borrowed again, at whatever rate lenders then demand. The three clocks strike close together. What that rate might be, and why the US government’s own borrowing is what sets it, is the subject of Will US debt burst the AI bubble?

June gave the first clock a reading. Within two weeks SpaceX raised about $85.7B by selling shares on Nasdaq and $25B by selling bonds, the largest sum the build-out has yet drawn from public markets. The bonds pay an average interest rate of 5.855% and the longest run to 2056. Six weeks later its first quarterly results as a public company sent the shares down 8%, below the price at which they had been sold, and the complaint was the spending, not the sales. That is the patience clock at work: the money was there, and the doubt arrived straight after.

Market patience Chips need replacing Debt comes due Now 202420252026 202720282029 2030

Those three clocks are deadlines. The fourth is not a deadline but a rate, and it is the only one you can watch move. The five have announced $842.5B of capital spending for 2026. Spread evenly across the year, that is what the counter below adds up while this page is open. It is not a forecast. It is their own published plans divided by the length of the year. The three clocks above say when the bill comes due; this one says how fast it is being run up.

Every second$26,715
Every day$2.31B
Announced for 2026$842.5B

How this was built: the five companies’ announced capital spending plans for 2026, $842.5B between them, divided evenly across the 365 days of the year. It is the same $842.5B that splits the required ramp in the chart below, and the ledger holds the two equal, so the counter cannot drift away from the chart. Three things it is not. It is not a measurement: capital spending does not leave the door at an even rate, it lands when a building is finished and when chips are delivered, so read this as the annual plan expressed per second rather than as money moving. It is not all of the building: Nvidia is the supplier the money flows to rather than a spender, and SpaceX, the sixth builder, sits outside the BIS’s five and outside this figure. And it is not the bill: what the spending has to earn back is the larger number on the front page, a floor of $1.3T a year, because the machines wear out and the money has a cost. Sources and arithmetic: the derivations ledger.

The same test, drawn as a race. The dashed ramp below is the revenue floor from the front page’s §2 arriving on schedule: the revenue the build-out must be earning each year by 2030, rising as the spending piles up. It is split across the five companies in proportion to their announced spending. The solid lines are the revenue actually arriving: each company’s reported revenue above what it earned in 2023, before the boom. That is deliberately generous. It counts every new dollar since 2023 as AI revenue, including online shopping and advertising, so the lines are upper limits, not measurements. The gap between the lines and the ramp is the bet.

Microsoft Alphabet Amazon Meta Oracle All five together

How this was built: the actual lines are each company’s revenue over the latest twelve months minus its revenue in calendar 2023 (Oracle on its own financial quarters, which end in February, May, August and November). Only audited figures are used, and no share of them is guessed to be AI. 2023 is the year the BIS dates the boom’s spending from. The toggle changes how revenue is credited. Upper limit counts every dollar of growth since 2023 as AI revenue, which by construction overstates it. Trend-adjusted subtracts the growth each company was already managing in 2022–23, carried forward, and keeps only the growth that pace cannot explain. That understates it, because the trend years are themselves inflated by Meta’s recovery and Oracle’s purchase of Cerner. The true AI figure, which nobody can observe, lies between the two. The required ramp scales the front page’s §2 floor by how much of the BIS’s 2025–30 spending window is in place at each date: 2025 spending, then the 2026 plans, then a straight line to 2030. Spending before 2025 is left out, because the window starts in 2025. The five-way split uses announced 2026 spending: Microsoft $190B, Amazon $220B (raised from $200B on the 30 July call), Alphabet $195–205B, Meta $130–145B, Oracle’s plan for its 2027 financial year. The ramp is drawn at the front page’s default settings: $3.5T of spending, chips lasting five years and a 10% return, which give a floor of $1.3T a year. Move the sliders there and the floor changes; this page shows the defaults. The ramp is always the floor, the BIS model’s measure of what the five must receive, because the actual lines are the five’s own revenue. What final customers must pay is larger, and is worked out on its own page; it is not used here. Every figure’s source and arithmetic: the derivations ledger.

The gap chart shows whether the revenue is arriving. The chart below shows who can afford to wait for it. Each line is a company’s capital spending as a share of the cash its business brings in (its operating cash flow), over the latest twelve months. Below 100%, the business pays for the build-out itself. Above 100%, something else does: borrowing, selling assets, or other people’s money. This is the borrowed-money system from the front page’s §2 made visible. The further above the line a company builds, the more a revenue shortfall becomes a problem with its lenders rather than a disappointment for its shareholders.

Microsoft Alphabet Amazon Meta Oracle

How this was built: capital spending over the latest twelve months divided by operating cash flow over the same twelve months, from the companies’ quarterly cash-flow statements (Oracle on its own financial quarters). Oracle’s last point sits a quarter ahead of the other four, and it falls, from 174% to 161%, for a reason the ratio hides: its August quarter booked $11.4B of customer prepayments inside operating cash flow, which is the bottom half of this fraction. Strip those out and the same twelve months read about 244%. Oracle publishes that adjustment itself, as “net cash outlay for capital expenditures”; the chart plots the unadjusted figures from the accounts, so read this fall as the funding arriving early, not the strain easing. Only cash spending is counted. Equipment taken on long leases is left out, which understates the strain: Meta’s June quarter was 94% on cash spending but about 97% counting leases, and Microsoft’s $41B quarter includes leases against $35.8B in cash. The BIS’s own gauge (Graph 11.A) divides capital spending by revenue. This chart divides by operating cash flow, because the question here is whether the business can pay for the spending, not how heavy the spending is. That is a deliberate departure from the BIS, recorded in the ledger with its sources.

The amber flag is the sixth builder, SpaceX, shown as a marker rather than a line for two reasons. It is not one of the BIS’s five, so it belongs beside the chart and not in it. And it has only two quarters of public accounts, so a twelve-month figure is not possible: $28.5B of capital spending in the first half of 2026 against $3.5B of operating cash flow is about 820%, over six months rather than a year. Read it as the extreme case, not a sixth line. What pays for the difference is in plain sight on its balance sheet: about $85.7B raised from the June share sale and $25B from bonds, with $100B of cash and securities at the end of the quarter. Oracle is at 161%, or about 244% without the money its customers paid in advance. It is spending its reserves and borrowing, and has now sold new shares as well. SpaceX raised the money first and is now spending it.

The two charts above follow the money. The one below follows the jobs, which are the other half of the test. If the revenue the bet needs is to come out of wages, it has to show up here first, as jobs that stop being added and then jobs that go. The bars are the change in US payrolls each month since January 2023, the year the gap chart measures revenue growth from.

United States only. The bet is placed across the advanced economies: the BIS frames it that way, and the front page counts the $5.2T a year that AI must be worth to its customers across the whole group. The US is where it should show first, because the spending, the industries most exposed to AI, and the BIS’s own early evidence of change (its Graph 10.C) are American. Read this chart as the early warning, not the whole test.

How this was built: seasonally adjusted figures from the Bureau of Labor Statistics, as they stand today. The BLS revises the two most recent months with every release and the whole series each February, so earlier bars can move. It keeps only its current figures, so the outlines mark first estimates only where this site recorded them on the day, which it has done since July 2026. The newest month is checked against geoveu’s capture of the same release before the chart is redrawn. The lower panel counts jobs gained or lost since December 2022 in two industries: information, the one most exposed to AI, and manufacturing. The scale that would count is in the jobs row below: tens of millions of jobs, not tens of thousands. Sources and method are in the ledger.

The first test is already under way. The results below are the first readings on which road the economy is on. The starting points matter. Growth rates this high slow down every year as the base gets bigger, so to average the 40% a year that the revenue floor requires over several years, the early quarters must grow much faster than 40%. Even an impressive-sounding 60–70% could mean the slowdown has started early. Newest readings first.

As of early October the first round of results is complete and the second has opened, and it points one way. Demand mostly cleared the bar. The cloud businesses that sell AI computing grew fast: Alphabet’s by 82%, Microsoft’s Azure by 43%, and Amazon’s AWS by 37%, the only one below the required 40%. Oracle, first into the new quarter because its financial year is out of step with the calendar, came back on 10 Sept at 121%, up from 93%. Nobody cut capital spending, several raised it, and Nvidia’s August guidance says the spending continues well into the autumn. The jobs numbers have not moved with it. September added 29,000 jobs against an average of 45,000 a month over the past year, unemployment rose to 4.2%, and the same release revised July back to a loss of 10,000 and August down from 162,000 to 133,000. That is the split this table exists to catch, in its mild form: the companies’ results beating expectations while jobs and wages stay flat. Oracle’s result also moved the question along: its demand reading is the strongest on the board, and it still had to sell $20B of new shares to pay for the capacity. Meta, the first of the other four to report, followed on 21 Oct: revenue up 26%, but its building cost more than the cash its business made, and it created a class of shares it expects to sell. Microsoft and Alphabet report on 28 Oct, Amazon on 29 Oct.

DateThe figuresWhat they mean for the bet
21 Oct — reportedMeta Q3 2026: revenue $64.6B, up 26%, above the top of the $61–64B it guided in July. Operating profit $13.0B, down 37%, after a $9.9B charge for its settlement with 52 US attorneys general; $22.9B without it. Capital spending $34.9B in the quarter, including finance leases, against $32.8B of operating cash flow: free cash flow minus $2.1B. 2026 spending plan narrowed to $135–145B, from $130–145B. A new class of non-voting shares from 19 January, which Meta says it expects to use to raise money by selling shares. Fourth-quarter revenue guided to $73–76B. Staff down 15% on a year earlier. Shares rose 3.5–3.8% after hours, then fell 6–7% in the next day’s trading (press-reported). Full analysis →
No AI revenue line to plot. Commitment gauge instead: capital spending $34.9B against $32.8B of operating cash flow, $2.1B short.
Demand cleared the bar again, and the building now costs more than the business brings in: for the first time on the strain chart, Meta spent more cash on building than its business generated. It is the second of the five, after Oracle, to prepare to sell shares to pay for it. Investors bought the revenue for an evening and sold the spending the next day.
14 Oct — press-reportedAnthropic Q3 2026, as told to investors: revenue $16.8B in the third quarter, up about 45% on the second. The two reports differ slightly on the earlier quarters: the Financial Times gives $11.5B for the second and about $4.8B for the first, Reuters $11.6B and $4.7B. Profitable on an adjusted basis for the second quarter in a row, with an operating margin of 11% before stock-based pay, and cash-flow positive. It took in $1.70 of revenue for every $1 it spent on computing. No new figure for annualised revenue: the last was $65B, at the end of July. The research firm SemiAnalysis estimates about $74B from the new figures, below the more than $100B by the end of the year that some investors expected in the summer. Revenue from rival labs training their models on Claude’s answers was 5–7% of the total, and Anthropic cut it back in the quarter. Some investors who attended now talk of valuing it at about $1.5 trillion when it lists, against the $2 trillion expected before. Press-reported, not filed: what Anthropic told prospective investors in San Francisco on 14 Oct, as reported by the Financial Times and Reuters from people who attended. · An AI lab, outside the BIS’s five. Tracked for what its revenue shows, not for its spending. Full analysis →Revenue still grows fast, but more slowly each quarter: the second quarter was more than double the first, the third about 45% above the second. The FT’s sources give three reasons: a price war with OpenAI and cheaper Chinese models, less revenue from rival labs, and two big customers, Meta and Microsoft, using more of their own AI. Those two are among the five builders, so the AI their spending pays for is now taking business from the lab. The slowdown alone made some investors lower what they would pay for the company. At $1.70 of revenue per $1 of computing, computing takes about 59 cents of each dollar it earns. These are figures the company chose to tell investors, not audited accounts. The public filing before its share sale, expected after the US elections in November, is the next check.
2 Oct — reportedUS jobs report, September: employers added 29,000 jobs, against an average of 45,000 a month over the previous twelve months. Unemployment rose to 4.2% from 4.1%. The same release revised the two months before it down by 60,000 between them: July from a gain of 21,000 to a loss of 10,000, and August from 162,000 to 133,000. July is a loss again, as it was first reported in August. Average hourly pay up 3.0% on a year earlier, against 3.1% a month ago. The information sector lost 10,000 jobs in September and 120,000 over the year; computing infrastructure, data processing and web hosting lost 1,600 in the month and 22,500 over the year. Manufacturing added 9,000, and is up 72,000 since its low in December 2025. Source: BLS Employment Situation; next reading 6 Nov. The series since 2023 → · This is one country, and the model is not: the BIS frames the bet across all the advanced economies, and the $5.2T a year in the front page’s §4 and §6 is a figure for the whole group. The US is still the place to watch first. The spending, the industries most exposed to AI, and the BIS’s own early evidence of change (US industries exposed to AI gaining productivity while adding fewer jobs, its Graph 10.C) are all American, so job losses on the bet’s scale should show up here before anywhere else. An early reading, not the whole test.This is the other side of the ledger. The split still reads “results beating, jobs flat”, now at the soft end of flat: the companies cleared their bars while this column added fewer jobs than last year’s already thin average, and the revisions took back most of what August had seemed to add. The revisions are stated rather than quietly overwritten, because they change what this row said last month. Every monthly figure here is a first estimate, and this column has now moved July twice. Run the front page’s §4 backwards to see the scale that would count. If the gap chart’s $553B a year of new revenue were coming out of wages, a 25% capture rate would mean about $2.2T of wages no longer paid, or about 28 million jobs’ worth. That could not be missed here. A month of +29,000 is weak, but it is nowhere near that scale, and the release names no cause: it says employment in every major industry changed little. The information sector, the one most exposed to AI, has been shrinking for a year, and the release does not say why; this row reports it and does not attribute it. Manufacturing rising is the other side of the same economy and says nothing about AI either way. “No job losses visible” is still no reassurance. Pay can fall behind without anyone being sacked, because a credible replacement weakens every worker’s bargaining position, and the labour-share row below shows exactly that: prices running ahead of pay. That kind of transfer never reaches this column at all. Around 2027–28 the required revenue passes what software budgets can supply. From then on, revenue on schedule and a flat jobs column cannot both continue. One of them gives way, and which one decides the fork.
28 Sept — reported, draftAnthropic’s draft prospectus: revenue $4.59B in 2025, up from $386M in 2024, with an operating loss of $8.06B. Computing cost $7.33B, 58% of its costs. Revenue in the second quarter of 2026 was $11.5B, its second quarter in a row with an operating profit. It has committed $518B to computing in the coming years, and less than half of that goes to the five builders: Google $111.1B, Amazon $110B, Microsoft $31.4B. The rest is $161.2B of equipment leased through Broadcom, up to $84.5B with xAI (mostly cancellable at 90 days’ notice) and up to $20B with AMD. From Anthropic’s draft prospectus, as reported by Reuters on 28 Sept 2026. Not an official filing. The public filing is due before its share sale, planned for late 2026. · An AI lab, outside the BIS’s five. Tracked for what its revenue shows, not for its spending.The lab is becoming a builder itself: more of its computing money goes to equipment it leases or to builders outside the five than to the five. The buyers’ bill counts none of that spending, so it understates what final customers must pay.
10 Sept — reportedOracle FY27 Q1 (the quarter to 31 August 2026): cloud infrastructure revenue (OCI) up 121% to $7.4B, against 93% last quarter and the 40% this page requires. Total cloud revenue $11.6B, up 62%. Revenue $19.3B, up 30%. Adjusted earnings per share $1.92 against analysts’ $1.74. Orders signed but not yet delivered $664B, up $26B in the quarter and $209B on a year earlier, after more than $30B of new AI cloud contracts. Capital spending $28.5B in a single quarter, more than half the $55.7B spent in the whole of the previous financial year, against $23.1B of operating cash flow, leaving free cash flow at −$5.4B. Paid for in part by a completed $20B sale of new shares on the open market. 850 megawatts of data-centre capacity and more than 300,000 AI chips delivered since the May quarter. Guidance for the year to May 2027 raised to revenue of at least $90B and earnings per share of $8.10; the capital spending plan held at $90–95B gross, or about $70B after customers’ prepayments. Shares fell 5.4% during the day, then recovered about 4% in after-hours trading · press-reported share moves, and reports range up to +7%. Next reading around mid-December. Full analysis →
Cloud infrastructure +121% vs +40% required
Demand answered more loudly than any result on this board: the growth rate did not slow, it doubled. The funding question grew louder with it. One quarter now costs more than half of last year’s entire build, free cash flow is negative again, and Oracle became the first of the five to sell new shares to pay for capacity, $20B of them. The record operating cash flow is the figure to read carefully: $11.4B of the $23.1B is customers paying in advance for capacity that is not yet built. That is the demand and the funding arriving as the same dollar, the most literal form yet of §5’s loop: the buyer financing the builder. Strip out those prepayments and the strain reading above goes the other way, from 174% to about 244% rather than down to 161%. What the result cannot settle is whether the $664B of orders turns into revenue. It is contracted, not delivered, and the 300,000 chips are the first instalment of what delivering it costs.
3 Sept — reportedUS labour share, Q2 2026 (revised): workers received 52.8% of what US private businesses produced, as pay and benefits. That is the lowest in a series that starts in 1947; the first estimate on 6 Aug said 52.9%. In the same release: output per hour worked up 1.4%, labour cost per unit of output up 1.2%, hourly pay up 2.6%, and hourly pay after inflation down 3.3%. Source: BLS Productivity and Costs; next reading 5 Nov (Q3 first estimate), revised 8 Dec. · This covers the “nonfarm business sector”, which leaves out government, non-profits and households. It is not a whole-economy figure, and not the measure the AMECO row at the foot of the table carries.The dial in the front page’s §6 has workers’ share of income falling from 60% to 53% by 2030 if the bet is paid for entirely out of wages. This is the first row on the page that measures that share rather than modelling it, and it reads 52.8% today. Resist the obvious conclusion. This is not the dial’s ending arriving early. The series covers one sector of one country, while the dial covers whole economies across the advanced world, and the two are built differently. That is why the AMECO row at the foot of the table exists. What this release does show is the pairing, and the pairing is the mechanism §6 describes: output per hour rose 1.4% while pay after inflation fell 3.3%. That gap is a transfer from workers to owners, arriving as prices running ahead of wages rather than as anyone losing a job. What it cannot settle is the cause. Nothing in the release attributes the move to AI, and workers’ share can fall for reasons as old as the series. Read it as a measurement §6 never had before, not as proof that §6 is right.
3 Sept — reportedUS labour productivity, Q2 2026 (revised) — output per hour worked in the nonfarm business sector +1.4% annualised, from output +1.7% and hours worked +0.3%; +2.2% from a year earlier. The 6 Aug preliminary also read +1.4%, and Q1 2026 was +0.8%. Since the current cycle began in Q4 2019 the series has grown 2.1% a year, against 1.5% in the previous cycle and 2.1% long-run since 1947. BLS Productivity and Costs, the same release as the row above; next reading 5 Nov (Q3 preliminary), revised 8 Dec. · nonfarm business sector, one country; a ratio whose denominator is hours worked, so it presupposes that the workers are still in the productionThis is the tool world’s own scorecard, and it reads modestly positive: output rose with hours still growing, and the pace since 2019 is back at the long-run rate rather than above it. The number means nothing without its pairing. Output per hour rises when workers produce more with better tools, and it rises just as well when fewer hours produce the same output; only the hours line tells the two apart, and this quarter hours grew. What it cannot do is measure the bet. The floor in the front page’s §2 is paid from revenue the vendor captures (§4 there), while the benign mechanism has a productivity gain passing to buyers as lower prices and to workers as higher pay. This quarter it reached neither: real hourly pay fell 3.3%, the labour share printed its record low, and unit profits of nonfinancial corporations rose at a 43% annualised rate in the same release. The gain exists, and it is the wedge the row above records. In the substitution fork this series keeps rising for the wrong reason, as the hours in its denominator shrink, and at the BIS’s limit, with labour’s share heading towards zero, output per hour stops meaning anything at all. Read it beside its hours line, every print.
26 Aug — reportedNvidia Q2 FY27 (the quarter to July 2026): revenue $96.2B, up 106% on a year earlier and 18% on the previous quarter, above both its own guidance of $91.0B ±2% and analysts’ average of about $91.9B. Data-centre revenue $89.0B, up 117% on a year earlier, from a previous-quarter base of $81.6B total revenue and $75.2B data centre. Earnings per share $2.46 against analysts’ $2.08; gross margin 75.0%. Guidance for the next quarter $108.0B ±2%, still assuming no sales of data-centre chips to China. $26.0B paid out to shareholders in the quarter. Announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to raise more than $500B of outside money for AI infrastructure, subject to final agreements. Full analysis → · Not one of the BIS’s five. Nvidia is the supplier their spending flows to.
No slope plotted: Nvidia is outside the model’s five, so it adds nothing to the required ramp. Data-centre revenue +117% on the year, for the record.
The spending side is running hot, not cooling. Guidance of $108B for the next quarter is another 12% step up in three months. Nvidia sells to the five, so its results show their spending about two months before their own results do, and the reading is that nobody is easing off. Note what the beat does not settle. This is the bill being run up, not the revenue that must one day pay it. Every dollar of Nvidia’s revenue is somebody else’s capital spending. The financing partnerships make the same point more sharply: the build-out is reaching past the five’s own cash to outside investors, which widens §5’s loop rather than closing it. Next reading around late November.
4 Aug — reportedSpaceX Q2 2026, its first results since listing on 12 June: revenue $7.81B, up 92%. AI division revenue $2.56B, up 247%, against $15.83B of AI capital spending in the same quarter. Total capital spending $18.37B. First-half capital spending $28.5B against $3.5B of operating cash flow. Computing capacity 1.4 gigawatts, up from 0.4 a year earlier. $14.1B of cloud contracts counted as firm sales. Net loss $541M. Shares down 8%, below the $135 at which they were sold in June. · Not one of the BIS’s five. A sixth builder, tracked as the extreme case on the BIS’s own spending gauge. Full analysis →
No slope plotted: SpaceX is outside the model’s five, so it adds nothing to the required ramp. AI revenue +247% on the year, for the record.
The BIS’s spending gauge (Graph 11.A: capital spending divided by revenue) taken further than any of the five: $2.35 of spending per dollar of revenue, against Oracle’s $0.86 in the same quarter (Oracle’s next quarter, reported 10 Sept, reached $1.47), and $6.18 per dollar inside the AI division alone. Apply this page’s floor arithmetic to that one quarter (chips lasting 5 years, 10% required return) and $15.8B of spending adds about $4.7B a year to the permanent bill, for an AI business whose whole revenue, at the current quarterly rate, is about $10.2B a year. Four quarters at that pace and one year’s building costs more than the AI business’s entire revenue today. What is arriving to pay it is other builders’ capital budgets: Anthropic’s rent now, Alphabet’s from October. The clearest public example of §5’s loop.
30 Jul — reportedApple FY26 Q3 (the quarter to June 2026): revenue $109.4B, up 16%, a record for a June quarter. Capital spending $3.4B in the quarter, about $11B a year. · Not one of the BIS’s five. Apple is the control group: it sells to the same customers but has not made the bet. Full analysis →
No AI spending to plot. No floor to clear and no clocks running.
The comparison case: a record quarter with no build-out, and still the worst reception of the round, down 8% on cautious guidance. Investors are pricing confidence in demand, not the spending.
30 Jul — reportedAmazon Q2 2026: revenue $200.6B, up 20%, above its own guidance of $194–199B. Operating profit $27.5B against guidance of $20–24B. AWS, its cloud division, grew 37% on a year earlier, the fastest in 18 quarters, to a yearly rate of $169B, with $496B of orders signed but not yet delivered. 2026 capital spending plan raised to $220B. Net profit $62.6B, of which $53.4B was the rise in the value of its stake in Anthropic. Full analysis →
AWS +37% vs +40% required: closing in, still below
Demand held up: the fastest AWS growth in 18 quarters, closing in on the required slope from below. But the quarter’s headline profit is itself part of the loop: a $53B paper gain on a stake in an AI lab. The last result of the round; all five are now on the board.
29 Jul — reportedMeta Q2 2026: revenue $60.8B, up 28%, at the top of its own $58–61B guidance. Earnings per share $6.18 against analysts’ $7.23, as costs rose 55% (including a $2.4B legal charge). 2026 capital spending plan raised to $130–145B. Shares down 9.6% in after-hours trading. Full analysis →
No AI revenue line to plot. Commitment gauge instead: capital spending $31.1B out of $31.9B of operating cash flow, leaving $0.8B of free cash.
Meta’s commitment is not in doubt. It raised its spending plan again, and the quarter’s building used up almost all the cash the business generated: operating margin down from 43% to 31%, free cash flow close to zero. Its advertising business makes money from AI without a separate AI revenue line, and beat the top of its guidance, but nothing is left over. After Oracle, Meta is the second of the five to meet the revenue-floor arithmetic inside its own accounts. The loudest tick of the patience clock in the July round.
29 Jul — reportedMicrosoft Q2 2026 (the quarter to June): revenue $90.0B against analysts’ $87.6B. Earnings per share $4.81 against $4.24. Azure, its cloud division, grew 43% on a year earlier; Microsoft Cloud as a whole $59.3B, up 27%. Full analysis →
AI revenue rate not restated this quarter. Last known +123% vs +40% required.
Beat expectations on every line, but left out the one figure this row exists to track: its AI revenue rate. Azure’s 43% is the closest stand-in and clears the required slope. The AI line stays dark until Microsoft reports it again.
22 Jul — reportedAlphabet Q2 2026: Google Cloud grew 82% (analysts expected 64%), with $514B of orders signed but not yet delivered. 2026 capital spending plan raised to $195–205B. Shares down 5% in after-hours trading. Full analysis →
Cloud +82% vs +40% required
Demand cleared the bar easily and spending was not cut, but the market punished the spending. The patience clock ticked.
2026–27OpenAI listing: filed in June 2026; a delay to 2027 is under discussion. · An AI lab, outside the BIS’s five. Tracked for what its revenue shows, not for its spending.Starting point: revenue running at $20B a year at the end of 2025, while it spends several billion dollars more than it earns each quarter.
2026 vintageWorkers’ share of income, whole economies: the European Commission’s AMECO database measures the share of national income paid to workers across the whole economy, counting the self-employed as if they earned an employee’s wage. For 2024: euro area 56.3%, EU27 55.7%, US 54.5%, Germany 59.1%. The Commission’s forecasts for 2026: 57.0 / 56.2 / 53.6 / 60.3. Source: AMECO, spring 2026 edition. · Annual figures, updated when the Commission publishes a new forecast rather than with each company’s results. 2025–27 are forecasts, not measurements.This is the series that can be compared with the 60% that the front page’s §4 and §6 both start from, and it does two jobs. First, it shows that 60% is on the high side. On the whole-economy measure no developed economy or group of them reaches it: the euro area is about 57%, the EU about 56%, the US about 54%, and only Germany comes close. The 60% is the BIS’s own setting for its Box C model, which the report says was chosen to match data and established estimates rather than measured directly. Whether this page’s starting point should change is recorded as an open question in the ledger, not quietly altered here. Second, and more telling, it splits the trend in two. The euro area’s share has been rising since 2022 (55.4 → 57.0) while the US’s falls (54.9 → 53.6). So the record low in the US row above is a US story, not a developed-world one. That matters, because if AI were replacing workers across the advanced economies, the European half should be falling too. It is doing the opposite.

The signal is in the gaps between the columns, not in any single result. If the companies keep beating expectations while the jobs column stays flat, the “tool” world is quietly winning, and the arithmetic above says that world runs out of software budget around 2028. If both columns move together, AI has started replacing workers. Either way, by about 2028 the chips need replacing and the answer is forced: the sector shows it can take revenue from wages, or it cannot.