Wholestory

The Money

The biggest spenders are paying for AI with other people’s money. Alphabet spent $51.4 billion in the third quarter. Its free cash flow was minus $9.1 billion, the second negative quarter running, and its long-term debt reached $125 billion, from $46.5 billion at the start of the year. Its shares fell about a tenth after hours, even as Google Cloud’s revenue doubled. Meta, cash-negative a week earlier, sold $37.5 billion of stock and convertible preferred. Microsoft is the exception. Azure grew 48 per cent, and OpenAI alone paid it $10 billion in the quarter. It trimmed its 2026 spending forecast to $170 billion because outside GPU capacity was delayed.

The frontier labs’ books are opening. Anthropic filed its prospectus in public on October 26. It shows $16.29 billion of first-half revenue and an $80.7 billion loss, most of it non-cash. Four banks and Blackstone committed $63 billion to buy Broadcom chips for it to lease, with Broadcom standing behind the senior debt.

China’s AI shares have lost $480 billion in four months. No major Western borrower has missed a payment.

New

13

in all two topics

The whole story2 chapters
The state of it — as of October 29, 2026

$B / year

OpenAI revenue (audited GAAP)
OpenAI total costs & expenses (audited GAAP)
Calendar year
The gap at the epicentre: OpenAI's reported revenue against its total spending, in $B per year — the arithmetic behind the bubble question.
$34bn
OpenAI's yearly spend
$13.1bn of revenue
+$21.5bn since 2024

In this story

The Debt Behind the Buildout

The money is still coming, on harder terms. On October 26 Bank of America, Citi, Morgan Stanley and Blackstone committed $63 billion to a new vehicle. It will buy Broadcom’s custom chips and lease them to Anthropic from 2027. Broadcom, the seller, backs the residual value of the whole first-lien slice, so the senior lenders’ asset risk sits with the chipmaker. No pricing or term was disclosed.

Smaller borrowers pay more and for less time. Nebius signed a $3.5 billion one-year bridge loan with Citi, secured on substantially all its assets. Its rate rises a quarter-point every 90 days, up to 3.5 points over the benchmark. Its July loan, backed by deployed chips, ran to 2030 at 2.5 points.

Oracle, whose swaps have traded like junk, told investors it will raise no more than $20 billion of new debt and equity through fiscal 2030. Its leases are not included: $288 billion not yet begun. Data-centre securitisations reached $64.4 billion outstanding after $4.65 billion in the third quarter, Morningstar DBRS says.

No borrower has missed a payment.

Continue: The Debt Behind the Buildout →
1,194bp
cost to insure CoreWeave’s debt for five years — a record
$635bn
AI-related debt issued in 2026, on Bank of America’s count
$650bn
of debt inside 14 circular AI financing deals, on the IMF’s count

Lab Listings

Anthropic’s books are public. On October 26 it filed its registration statement with the SEC. It plans to list Class A shares on Nasdaq under the symbol ANT, with Goldman Sachs and Morgan Stanley leading 23 underwriters. No share count or price range is set yet, and reporters expect a listing in mid-to-late November.

The filed figures match what reporters had seen in drafts. Revenue was $4.59 billion in 2025, and $16.29 billion in the first half of 2026, up from $1.16 billion. The first-half net loss was $80.7 billion, about $72 billion of it non-cash charges on convertible notes. The third quarter is blank, so the figures Anthropic gave investors privately for it remain unfiled.

The filing also puts numbers on the obligations: $265.6 billion of purchases it cannot cancel at June 30, and $321.4 billion of leases. A company of its seven co-founders will hold 50.1 per cent of the votes.

OpenAI has filed nothing in public. An SEC search on October 29 found no registration statement from it.

Continue: Lab Listings →
1 of 2
frontier labs with a public prospectus: Anthropic filed October 26; OpenAI has not
$16.3bn
Anthropic’s first-half 2026 revenue as filed, against $1.16bn a year earlier
$265.6bn
of purchases Anthropic cannot cancel, as filed at June 30

Today

China’s AI Stocks Have Lost $480 Billion in Four Months

Shanghai’s STAR 50 index of technology shares has fallen more than 40 per cent in four months, erasing about $480 billion of market value, Reuters figures cited by Channel NewsAsia show. Even after the fall it traded at about 100 times trailing earnings on October 26, down from nearly 250 times at its peak. AI-related shares make up about 42 per cent of the market value of mainland A and Hong Kong H shares, on Goldman Sachs figures. Analysts quoted called it a repricing of profit expectations and cautioned against reading it across to US markets.

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Alphabet’s Cash Flow Goes Negative Again as Its Debt Nearly Triples

Alphabet spent $51.4 billion on capital equipment in the third quarter, more than twice a year earlier, and its free cash flow was minus $9.1 billion. It was the second negative quarter running, after minus $5.9 billion in the second. Long-term debt reached $125.1 billion at September 30, against $46.5 billion at the end of 2025. Google Cloud’s revenue doubled to $30.7 billion, and its operating income tripled to $11.1 billion. The shares fell about 10 to 11 per cent after hours. Alphabet kept its 2026 spending guidance at about $200 billion.

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Microsoft Earns $10 Billion a Quarter From OpenAI, and Trims Its Spending Forecast

Microsoft reported quarterly revenue of $92.3 billion on October 28. Its cloud business brought in $63.9 billion, up 30 per cent, and Azure grew 48 per cent. Contracted revenue not yet recognised rose 73 per cent to $677 billion. Its quarterly filing, as reported by TechCrunch, shows $10 billion of that quarter’s revenue came from commercial arrangements with OpenAI, including revenue sharing, against $24.1 billion in the whole of fiscal 2026. The chief financial officer cut the calendar-2026 capital spending forecast to $170 billion from $175 billion. She said rented GPU capacity from outside providers had been delayed into early 2027.

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Earlier this month

14
New

Meta Sells $37.5 Billion of Stock and Convertible Preferred, Five Days After Its Cash Ran Short

On October 26 Meta priced two share offerings, five days after reporting negative free cash flow. The first is $12.5 billion of 6.50 per cent mandatory convertible preferred, which turns into common stock in August 2029. The second is $25 billion of common stock at $625, enlarged from $22.5 billion. It is sold under forward agreements, so Meta receives the money only when they settle, by November 2027. The release gives the use of proceeds only as general corporate purposes. Morgan Stanley and Goldman Sachs led. Some coverage described a $95 billion offering; the release supports about $37.5 billion before options.

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Meta Spends Past Its Cash and Creates a Share Class It Can Sell

Meta’s capital spending reached $34.91 billion in the third quarter, including finance-lease payments, and its free cash flow turned negative: minus $2.12 billion, after $784 million in the second quarter and $10.6 billion a year earlier. Long-term debt rose to $80.9 billion, from $58.7 billion at the start of the year. On 21 October its board approved a publicly listed, non-voting Class C stock, issued to existing holders as a one-for-one dividend from January 2027, for capital raising, employee pay and acquisitions; the company tied it to the scale of investment AI requires. Meta narrowed 2026 capex guidance to $135–145 billion and gave no figure for 2027, saying only that it expects to keep ‘investing aggressively’. Revenue rose 26% to $64.6 billion; operating income fell 37%, after a $9.89 billion legal charge.

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SpaceX’s AI Arm Now Earns Half Its Revenue and Takes Most of Its Spending

SpaceX reported third-quarter revenue of $14.6 billion, about $1 billion of it from Bitcoin’s recovery and related-party income, and net income of $4.4 billion on 20 October. Its AI segment — Grok, Cursor and a compute-leasing cloud — brought in about $7.5 billion, more than Starlink’s $5.2 billion, and earned $431 million after a $1.2 billion one-off stock charge for the Cursor purchase. Capital spending was $19.6 billion, $16.4 billion of it for AI, and the chief financial officer guided the fourth quarter to $35–40 billion. TechCrunch and Business Insider differ slightly on the segment ($7.5 billion and $7.6 billion).

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TechCrunchtechcrunch.com65% credibility · not yet testedAn opening estimate from its institutional history — none of its claims checked yet.Business Insiderbusinessinsider.com70% credibility · not yet testedAn opening estimate from its institutional history — none of its claims checked yet.
SpaceX’s annual recurring revenue will be “somewhere between $500 billion and $1 trillion” by the end of 2027.

— Elon Musk

Elon Musk, on SpaceX’s third-quarter earnings call, as reported by TechCrunch; only the quoted range is verbatim. For scale, the quarter’s revenue was $14.6 billion, and the company guided the first quarter of 2027 to $33–37 billion.

Not yet checked

Comes due after 2027. The latest reported quarter, the third of 2026, brought $14.6 billion of revenue.

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OpenAI Hurries a $30 Billion Round to Close Before Anthropic Lists

OpenAI is trying to close a private round of about $30 billion, which could value it at more than $1.4 trillion, before Anthropic’s expected listing in mid-November, Reuters reported on 19 October, citing two people familiar. SoftBank, Abu Dhabi’s MGX and other existing backers are in talks to join, one of them said, and OpenAI met long-only and sovereign wealth funds the week before. Investors told Reuters the money would also fund OpenAI’s infrastructure commitments and cushion it if a weaker market pushes its 2027 listing back. Nothing has closed; the last price paid was $852 billion, in March.

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OpenAI’s annualised revenue will reach $70 billion by the end of 2026, from about $50 billion now.

— OpenAI

Told to investors during its fundraising, according to one person familiar who spoke to Reuters. OpenAI has not said it on the record. It is a run rate — a month’s pace multiplied out — and OpenAI counts sales made through partners at its own share only.

Not yet checked

A forecast told to investors and relayed by one anonymous source; nothing is filed. The last reported level is about $50 billion at the end of September.

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AI Shares Fall Worldwide as Borrowing Costs Climb

The Nasdaq and S&P 500 had their worst day since July on 14 October, after a hot inflation report raised the prospect of higher rates. The next day South Korea’s Kospi closed 7.6% lower and Japan’s Nikkei 4.9%. On the 16th the US semiconductor index fell 3.8% — its eighth straight loss and longest losing run since October 2008, with all 30 members down — a streak that cost about $2 trillion of market value. It rebounded 2.4% on 19 October as yields and oil fell. Strategists blamed rates, debt-funded spending, Chinese competition and slower growth at the leading labs.

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Through 2030, AI data center owners would need to generate a cumulative $8.5 trillion in revenue to cover announced capital spending, financing costs, and a 12% return on invested capital (ROIC), which we assume to be the hurdle rate of investment capital. However, total enterprise and consumer AI revenue that can be attributed to AI data centers during this period is forecast to reach no more than $3.6 trillion.

— Gartner

Not yet checked

Unverified: a five-year forecast by Gartner analyst Will Sommer, published 14 October 2026; it comes due after 2030. Gartner also put more than $3.5 trillion of AI infrastructure spending at risk of impairment by end-2030.

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OpenAI’s annualised revenue was roughly $50 billion at the end of September 2026.

— OpenAI

Told to investors in a presentation, according to the Financial Times; CNBC confirmed it through a person familiar with the matter. It is an annualised run rate — September’s pace multiplied out — not audited or filed revenue, and OpenAI has not stated it on the record. The last audited figure is $13.07 billion for the whole of 2025.

Not yet checked

An unfiled run rate, first reported by the Financial Times and confirmed by CNBC through one unnamed source. Checkable only against audited or filed revenue; OpenAI’s prospectus was filed confidentially in June and is not public.

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OpenAI’s $70 Billion Turns Out to Be $50 Billion, Counted Its Own Way

For two weeks, OpenAI’s annualised revenue was widely reported at $68 billion to $70 billion. On 8 October it emerged that the company had told investors roughly $50 billion, as of end-September. The higher number, a person familiar told CNBC and sources told Axios, grossed up sales made through partners so investors could compare OpenAI with Anthropic, which books such sales in full; OpenAI books only its share. No sales disappeared; the counting changed. Nvidia still fell 3 per cent, Oracle nearly 6 and CoreWeave nearly 8 that day, in a market also weighed on by oil and bond yields.

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A Five-Year Chip Lease at About $1.60 an Hour, Against $2.80 for One Year

A reported long-term lease gives a rare look at what compute costs at scale. Oracle’s five-year lease of about 100,000 advanced AI chips to Tencent, which the Financial Times put at about $7 billion with roughly 30 per cent paid upfront, works out at about $1.60 per chip per hour. Tom’s Hardware sets that against roughly $2.80 an hour for a one-year Nvidia H100 contract, on SemiAnalysis’s August reading, and $3.09 for a three-year B200 contract in a 2025 Datasection filing. The comparison is rough: the leased chip is unnamed, the terms differ, and neither company has confirmed the deal.

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SoftBank Pays the Last $10 Billion: $64.6 Billion In, for About 13 Per Cent of OpenAI

SoftBank paid the third and final $10 billion tranche of its $30 billion follow-on investment in OpenAI on 1 October,. Its cumulative investment totals $64.6 billion, for an ownership interest it puts at approximately 13 per cent; it does not say on what valuation. This is money moved, not discussed: one of three anchor commitments, with Amazon’s and Nvidia’s, in the $122 billion round closed in March. It paid with the proceeds of a bond sale and cancelled the unused $10 billion of a $40 billion bridge loan. Its shares were down 5.6 per cent in Tokyo on 2 October.

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The risk of a sharper correction persists, notably if there is a more significant shock to earnings expectations reflecting concerns around the pace of AI development or adoption.

— Bank of England

From the record of the Bank of England’s Financial Policy Committee meeting of 25 September, published five days later. The committee said equity valuations for AI companies fell sharply in July, amplified by leveraged investors unwinding stretched positions, without spilling into core markets. It also said the growing indebtedness of AI firms, combined with opacity and, at times, ‘circular arrangements’, could complicate the assessment of risks and amplify losses if expectations disappoint — and that a reassessment could reach sovereign debt markets, because fiscal outlooks now lean on AI productivity gains.

Not yet checked

A conditional warning with no horizon or threshold, so no dated observable settles it. The committee’s own account of July — a sharp fall, forced unwinds, no spillover to core markets — is the baseline a later correction would be measured against.

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The Number Moves Again: OpenAI Is Said to Seek $30 Billion at $1.4 Trillion

Two weeks after investors floated $1.2 trillion, Bloomberg reported — as relayed by Quartz — that OpenAI is targeting at least $30 billion in a new round at a valuation of about $1.4 trillion before the new money, with talks early and subject to change. It is described as runway while a listing is deferred. CNBC, on 8 October, had it as early-stage discussions for around $30 billion, driven by investor demand, with no term sheet finalised. No investor is named and no OpenAI comment is reported. The last valuation at which money changed hands remains $852 billion, in March.

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This quarter

31

UBS Puts AI Capex Near $1 Trillion This Year, and Most of the Increase Is Memory

UBS now estimates total AI capital spending at $998 billion in 2026, almost double the $506 billion it records for 2025, rising to $1.447 trillion in 2027. Memory is $71 billion of the 2025 total, $367 billion of this year’s and $923 billion of next year’s — so memory accounts for about 60 per cent of this year’s increase and roughly 90 per cent of the rise from 2025 to 2027, while spending on everything else falls in 2027. These are a bank’s estimates, relayed without a named analyst or list of companies; the 2026 and 2027 figures are projections.

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Yahoo Financeuk.finance.yahoo.com60% credibility · not yet testedAn opening estimate from its institutional history — none of its claims checked yet.
The AI investment boom has accounted for nearly half of S&P 500 earnings growth this year, and this tailwind should begin to fade next year even as capex spending continues to grow.

— Goldman Sachs

Ben Snider, Goldman Sachs’s chief US equity strategist, in a note to investors. His base case is not a burst bubble but a marked slowdown in index earnings growth over two years. He adds that the surge in chip-makers’ margins leaves S&P 500 earnings exposed to a fall in chip prices, and that ‘other income’ — paper gains the largest technology companies book on private investments — would, if it vanished entirely in 2027, take 8 points off earnings growth.

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Investors Float $1.2 Trillion. OpenAI Says It Isn’t Raising.

Investors have approached OpenAI about a new round, floating a valuation of $1.2 trillion. The Financial Times reported it first; Reuters relayed that talks are early, that the figure could move over coming months, and that investors rather than the company began them. CNBC, on its own sources, says no formal discussions are under way, OpenAI is not actively engaging, and some investors have pitched the round as a way for employees to sell stock. OpenAI declined to comment. For scale, what has actually closed: $122 billion of committed capital in March at an $852 billion valuation, and a roughly $7 billion employee share sale in August. A valuation discussed is not a round raised.

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We still have an incredible balance sheet.

— Sarah Friar

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The $25-Billion Revenue Gap Between Anthropic and OpenAI Is Mostly an Accounting Choice

Anthropic is heading toward its IPO citing an annualized revenue run rate above $65 billion; OpenAI puts its own above $40 billion. Most of the $25-billion gap, The Information and accounting professor Francine McKenna find, is bookkeeping rather than business. When a customer buys Claude through a cloud partner, Anthropic treats itself as the principal and records the full sale as revenue, expensing the partner's cut; OpenAI treats itself as the agent and books only its net share. Neither is wrong. But even restated to a net basis — a roughly 6-to-10-percent haircut — Anthropic would still sit $19-21 billion ahead. How it justifies the gross treatment should surface in its prospectus.

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Broadcom's Backstop for a Customer's Chip Leases Is Filed at $29 Billion

The chip supplier's exposure to its own customers now has a filed number. Broadcom's quarterly report for the period ended 3 May, filed on 9 June, discloses that it arranged for an investor partner to buy AI racks built on Broadcom's accelerators and lease them to a customer, and that Broadcom then entered a backstop agreement covering that customer's five-year lease obligations, "with a maximum exposure of $29 billion". The backstop grows as racks are deployed and shrinks as the tenant pays; on default Broadcom can assume the lease or force a sale of the racks. On the 2 September earnings call an analyst put the same figure to the company. Finance chief Amie Thuener said those numbers "remain true" and refused to give any cap for future arrangements: "I can't give you an overarching look at what's the max."

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Where necessary, we may provide modest residual value guarantees, which are contingent liabilities we view as low risk, supported by the strong profitability trajectory of these labs and the sustaining value of the underlying assets.

— Amie Thuener

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Broadcom Books $16.7 Billion of AI Chips — in a Category Its Own Accounts Do Not Report

Broadcom reported net revenue of $29.59 billion for the quarter to 2 August, up 86%, and said $16.7 billion of it was AI semiconductor revenue, up 221%. Note what is filed and what is not. The audited segment table shows two lines — semiconductor solutions $20.84 billion, infrastructure software $8.75 billion — and the AI figure is a management carve-out inside the first, disclosed in the chief executive's quote and reconciled to nothing. Broadcom's own capital spending was $532 million: the capital intensity sits with its customers. Fourth-quarter guidance of $34.8 billion came in under the $35.03 billion expected.

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In 2027, we have secured the supply to again double AI revenue to approximately $115 billion. Our demand actually exceeds this outlook, and we will work to improve supply. In 2028, we expect the trajectory of growth to continue. We have line of sight for fiscal 2028 AI semiconductor revenue growth to again double to $230 billion.

— Hock Tan

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A Central Bank Sizes the Capital Cycle: $1 Trillion by 2028, or Three Percent of US GDP

The European Central Bank, analysing why American hyperscalers have arrived in Europe's bond market, put the spending in a frame this page has not had from an institutional source: capital expenditure projected to exceed $1 trillion in total by 2028, equal to about 3 percent of current annual US GDP. Its accompanying observation is the one that explains the borrowing — planned investment has grown too large to finance out of internally generated cash flow, so the companies are shifting from self-funding toward external finance. The trillion is a projection rather than a measurement, and the ECB is citing it rather than producing it; what belongs to the ECB is the comparison and the reading of what it does to corporate balance sheets.

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The Market Price of a Million Tokens Falls by Half in a Summer

The price side of the bubble question moved. Silicon Data's LLM Token Expenditure Index — a daily, usage-weighted benchmark for what a million language-model tokens actually cost, blending posted provider prices with consumption observed across routing gateways — fell to 97 cents on 31 August, its lowest since the index began late in 2025 and more than half below its summer high. Cheap open-weight rivals, chiefly Moonshot's Kimi K3, and OpenAI's late-July price cuts are the named drivers. For labs whose compute commitments are fixed for years, a falling output price compresses revenue without touching cost. It had recovered to 99 cents by 5 September.

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The issue is not simply that investors are borrowing more, but that leverage is interacting with high valuations and market concentration, in particular the increasing cross-investment between artificial intelligence (AI) companies and hyper scalers, in a way that could amplify a future market correction. I remain concerned therefore that a large shock or combination of shocks could concurrently trigger multiple vulnerabilities.

— Andrew Bailey

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Nvidia Books $96 Billion in a Quarter and Guides to $108 Billion Without China

Nvidia's second quarter to 26 July brought $96.2 billion of revenue, up 18 percent on the previous quarter and 106 percent on the year, at a 75 percent gross margin — $89.0 billion of it from data centres, up 117 percent year on year. GAAP net income was $59.7 billion and diluted earnings $2.46 a share. The company returned about $26 billion to shareholders in the quarter and has $99 billion of buyback authorisation left. The guide for the current quarter is $108 billion, plus or minus two percent, and it assumes no data-centre compute revenue from China at all — a market Nvidia has now written out of its own forecast. Jensen Huang's framing of the quarter was that “compute is revenue”, and that where one lab drove the buildout a year ago, multiple frontier labs are now scaling in parallel.

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The Chip Supplier Starts Arranging the Money to Buy Its Chips

Alongside its results, Nvidia said it had agreed partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to set up independent compute-infrastructure financing platforms, intended to mobilise more than $500 billion of third-party capital for the AI buildout — “over time, subject to definitive agreements”, which is to say nothing is signed and no capital has moved. The structure is the story rather than the number: the company selling the accelerators is now organising the outside capital that will pay for them, one step further along the same axis as its equity stakes in customers.

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Revenue for the third quarter of fiscal 2027 is expected to be $108.0 billion, plus or minus 2 percent, with no Data Center compute revenue from China assumed.

— NVIDIA

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The SEC Subpoenas Four Banks Over the AI Fund That Lost Two-Thirds of Its Book

Regulators have gone looking at the leverage behind the AI trade. The SEC has subpoenaed Bank of America, Citi, Goldman Sachs and JPMorgan Chase over Situational Awareness, the fund that lost about 67 percent of its portfolio in July, asking for the timing of its trades and its communications with lenders about borrowed money, and warning the banks to preserve records. The mechanism was concentration: $5.7 billion of SanDisk and $5.6 billion of Micron were more than half its US book at the end of June, and falls of 47 and 29 percent in July forced margin calls and a sale of the whole public book to Citadel at roughly a 10 percent discount. The inquiry is early, the fund is accused of nothing and says it will cooperate. Note what is being investigated: not AI demand, but what was borrowed against it and what lenders were told.

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For the first time, Anthropic out-earns OpenAI in a quarter — and the loss gap widens the other way

Anthropic surpassed OpenAI in quarterly revenue for the first time. In the three months to June it reported about $11.6 billion, more than double its roughly $4.73 billion first-quarter figure; OpenAI reported $6.7 billion, up 18 percent from $5.7 billion — growth that disappointed investors hoping it would close the gap. The bottom lines diverged further: OpenAI's operating loss widened to $12.3 billion from $9.3 billion, while Anthropic recorded a small adjusted operating profit of about $559 million — though it excludes stock-based compensation and has not said how it calculates the figure, and all the numbers are preliminary and press-reported, not audited. The shift, driven by Claude Code's traction with corporate customers against decelerating ChatGPT growth, has pushed OpenAI into a reactive posture, with management departures including chief revenue officer Denise Dresser after less than a year, following the earlier exits of operating chief Brad Lightcap and Fidji Simo.

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Nvidia's guarantee behind OpenAI's Ohio campus is signed at $105 billion — under half the figure first reported

Nvidia disclosed in a Form 8-K that on 17 August it entered into multiple residual value guaranties with SB Energy covering leases for approximately 4.25 gigawatts of IT load at the PORTS-Pike campus in Pike County, Ohio, its aggregate payment obligation “cumulatively capped at $105 billion.” OpenAI is the tenant on a 20-year lease of a site SB Energy will build, own and operate, with the first capacity expected from 2028. The figure carries the whole arc of the deal: the Wall Street Journal reported in late July that Nvidia was in talks to guarantee roughly $250 billion; on 14 August it reported the plan cut to less than $120 billion after investors objected to how much of Nvidia's own balance sheet was standing behind demand for its chips; three days later the executed instrument capped at $105 billion and covered only the first phase, with an option, at Nvidia's sole discretion, to add credit support for a further 3.8 gigawatts. The filing states precisely what triggers payment: OpenAI's insolvency resulting in a default under a lease, or OpenAI's failure to make lease payments. On either, Nvidia pays the shortfall between the lease's guaranteed minimum value and whatever is recovered through a replacement lease or a sale, and may assume the lease, require the lessor to relet, start a sale process, allow termination, or defer those remedies for up to a year while paying project costs. The obligations end at the earliest of the twentieth anniversary of each lease, OpenAI terminating it, or OpenAI achieving a satisfactory credit rating — the absence of which is what makes the guarantee necessary in the first place. OpenAI has agreed to reimburse and indemnify Nvidia for any amount it actually pays. Nvidia filed the arrangement under Item 2.03, the item covering an off-balance-sheet obligation, and will file the form of the agreements with its quarterly report for the period ended 26 July. Separately, Nvidia is investing $1.5 billion in SB Energy alongside SoftBank and OpenAI. Goldman Sachs and JPMorgan advised SB Energy; Morgan Stanley advised Nvidia.

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Is this circular financing? No. OpenAI will pay the lease.

— Jensen Huang

Jensen Huang published a long defence of the Ohio guarantee on the morning it was signed, answering the charge that has followed Nvidia since it committed up to $100 billion to OpenAI in September 2025. The post concedes the premise the instrument rests on — frontier laboratories “are growing faster than their balance sheets and long-term credit profiles can support” and “lack the decades-long infrastructure contracts and investment-grade financing capacity” to secure sites on their own — and argues the answer is not circularity but supply-chain discipline: Nvidia secures land, power and shell the way it secures chips and memory, on visible demand. It also puts numbers on the upside. Each generation of systems deployed at PORTS-Pike could mean about 1.5 million GPUs and “approximately $150 billion to $200 billion in NVIDIA revenue”; OpenAI's existing and planned commitments amount to about 12 gigawatts of Nvidia compute, rising to roughly 16 if Nvidia takes up its option, or “roughly $600 billion of NVIDIA compute through 2030.” Huang describes the guarantee as “limited to defined portions of lease and power payments, along with a specified residual-value commitment — not the full cost of the site,” declining as OpenAI makes payments and capacity comes online, and argues the capacity is resellable because CUDA makes Nvidia compute fungible: “Versatility makes it fungible. Fungibility drives utilization and durability — making NVIDIA compute a productive asset: rentable and financeable.”

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Our reading

Nvidia described the Ohio deal twice on the same day, and the two accounts share no number

Two documents, one transaction, 17 August. Jensen Huang's public post quantifies what Nvidia stands to earn — about 1.5 million GPUs and “approximately $150 billion to $200 billion in NVIDIA revenue” per deployed generation, and “roughly $600 billion of NVIDIA compute through 2030” — and gives no figure at all for what Nvidia has guaranteed, describing it only as “limited to defined portions of lease and power payments, along with a specified residual-value commitment.” The Form 8-K filed the same day gives the guarantee and nothing else: an aggregate payment obligation “cumulatively capped at $105 billion,” payable if OpenAI becomes insolvent or fails to pay, filed under the item for an off-balance-sheet obligation, and terminating early if OpenAI achieves a satisfactory credit rating. Nvidia's own press release, issued alongside both, states neither number. All three documents are linked here; the figures in each are checkable in one click.

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Anthropic told investors its annualised revenue run rate reached $65 billion at the end of July, and that preliminary second-quarter revenue exceeded $11.5 billion against $787 million a year earlier, with positive adjusted operating income.

— Anthropic

The figures reached the market the way private-company figures do: through documents shown to prospective investors and a weekend investor update, reported by Bloomberg and confirmed by CNBC through three people familiar with them. Anthropic declined to comment on the quarterly number. Note the disclosure forms, which are three different things and are routinely conflated. Quarterly revenue: $4.73 billion in the first quarter of 2026, more than $11.5 billion in the second, against $787 million in the second quarter of 2025 — a fourteenfold increase, and the company's first quarter of positive adjusted operating income. Annualised run rate: above $47 billion in May, $65 billion at the end of July. Full-year revenue: roughly $10 billion for all of 2025, as the company characterised it in May. The last two of those cannot be reconciled with the $787 million second quarter from anything public, and nothing here is audited or filed; the audited numbers become public only in an amended registration statement if the company proceeds to list. For scale, OpenAI's run rate passed $40 billion in the same month, though Bloomberg notes the two companies' accounting methods differ enough that the figures are not directly comparable.

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Historical experience suggests that technological revolutions carry risks of a boom-bust cycle in asset prices, and this risk does not depend on today's valuations being rational or irrational.

— European Central Bank

Five European Central Bank economists — Malin Andersson, Johannes Breckenfelder, Stefano Corradin, Kalin Nikolov and Maria Antonietta Viola — set out the euro area's exposure to an AI-driven correction on the ECB's blog, which carries the standard disclaimer that the views are the authors' rather than the institution's. Their argument is deliberately undated: both the rational explanation for high technology valuations (uncertainty about a new technology's productivity, which becomes economy-wide and undiversifiable as adoption spreads, raising the risk premium) and the behavioural one (overconfident investors bidding past fundamentals) imply a correction at some point, and “the exact timing is unknowable in advance.” What is measured rather than argued is the exposure. The S&P 500's cyclically adjusted price-to-earnings ratio sits close to its historical peak. Euro-area households hold around €440 billion of exposure to US technology equities, mostly through mutual funds and exchange-traded funds rather than direct holdings, “without necessarily being aware of the associated concentration risk”; insurers and pension funds hold significant exposures too. The fund structure is itself a transmission channel, since redemptions force sales that push valuations down further. Euro-area equities are less richly valued and its technology sector smaller, which limits the risk of a home-grown crash — but the two markets are historically highly correlated, and, unlike in the dot-com episode, there is markedly less room to cut interest rates or use fiscal policy to cushion a fall.

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European Central Bankecb.europa.eu90% credibility · not yet testedAn opening estimate from its institutional history — none of its claims checked yet.
OpenAI's annualised revenue run rate has surpassed $40 billion, roughly double its pace at the end of 2025, with monthly run rate growing more than 20% in July alone.

— OpenAI

Bloomberg reported the figure; president Greg Brockman gave the July growth rate to staff in an internal note. The company attributes the acceleration to subscriptions, early advertising, the Codex coding agent and enterprise ChatGPT products, and has cut prices on some models to hold share against cheaper rivals. The comparison that matters is with the audited record already here: OpenAI's chief financial officer said the company closed 2025 with an annualised run rate above $20 billion, while its audited 2025 revenue was $13.07 billion — the gap between an exit-month run rate and a year's realised revenue, which is the same gap this $40 billion figure carries. It is a run rate, not a filing.

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Nvidia enlists six Wall Street firms to mobilise $500 billion for AI compute — the chip supplier becomes the market-maker for its own hardware

Nvidia signed memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish what it called the first compute-financing platforms of their kind at global scale, aiming to mobilise more than $500 billion of third-party capital to fund the buildout across its ecosystem — frontier labs, enterprises and AI clouds. The design creates dedicated pools of long-term capital that lend to Nvidia's own customers, treating GPUs the way markets treat toll roads or real estate: a bankable, income-producing asset class rather than rapidly depreciating hardware. The arrangement is the largest expression yet of the 'circular financing' structure already in the record — a supplier orchestrating the capital that buys its own product, extending the pattern of Nvidia's up-to-$100 billion commitment to OpenAI. Chief executive Jensen Huang framed it as a milestone in which 'compute is revenue' and Nvidia hardware is 'continuously improved through CUDA software, extending its useful life' — the announcing party's promotional case, and a direct counter to the depreciation criticism (Michael Burry's useful-life claim) already tracked here. The agreements 'remain subject to execution of the final agreements': these are MOUs and an intention to build capital pools over time, not closed financings. The $500 billion figure and the six-firm roster are corroborated beyond Nvidia's own release by Reuters, the Wall Street Journal and the Financial Times.

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SpaceX's first public earnings: revenue up 92%, but $18.4 billion of capex — twice sales — sends the stock below its IPO price

In its first earnings report since its June initial public offering, SpaceX (SPCX) reported second-quarter 2026 revenue of $7.8 billion, up 92% year over year and above the roughly $6.8 billion consensus, against a net loss of $541 million. Capital expenditure soared more than sixfold to $18.4 billion — more than double quarterly sales and far above the roughly $13 billion analysts had forecast — with nearly $16 billion, well over 80%, flowing to the xAI/AI-compute business that merged into SpaceX in February 2026. The AI segment (SpaceXAI) posted quarterly revenue of $2.56 billion, up 247% year over year, and an operating loss of $1.26 billion, while Starlink revenue grew 66%. The shares fell about 8% after the report, leaving them more than 20% below their June 12 first-trade price. The $18.4 billion capex, the segment figures and a $354 million Memphis litigation accrual are attributed by CNBC and CNN to SpaceX's Q2 10-Q, which the harness could not retrieve directly (SEC 403; no Wayback snapshot); analysts expect full-year capital spending above $45 billion.

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To be clear, the $100 billion ARR in December is not a question mark. That's what we would achieve if we basically did nothing.

— Elon Musk

On SpaceX's first earnings call as a public company, chief executive Elon Musk told investors the AI buildout would pay back fast, saying $100 billion in annualised recurring revenue by December was 'not a question mark' — though his arithmetic assumes closing the $60 billion Cursor acquisition. Chief financial officer Bret Johnsen said the company was seeing 'less than a one-year payback' on its AI-compute capital spending and had already contracted $6.7 billion of additional cloud-services revenue in the first weeks of the third quarter. Musk separately said SpaceX's trillion-dollar-revenue target had moved up from 2031 to 2030, with a 'non-zero chance' of 2029 — against FactSet's roughly $207 billion estimate for 2029. Investors weighed the $18.4 billion of capital going out this quarter more heavily than the promised return, sending the stock down about 8%.

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AMD's data-centre revenue doubles to $6.7 billion as a record quarter offsets a gaming slump

AMD reported record second-quarter 2026 revenue of $11.5 billion, up 50% year over year, led by data-centre revenue that more than doubled — up 107% — to $6.7 billion, a reading of AI demand across the chip layer alongside Nvidia. Client revenue was $3.8 billion, up 6%, while gaming revenue fell 31% to $779 million, which chief executive Lisa Su attributed to the late stage of the console cycle and higher component and memory costs.

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Named investors called AI-era markets a bubble: Ray Dalio saw 'classic signs' of one reminiscent of 1929 and 2000 and agreed with Jeremy Grantham that this is 'the biggest investment bubble in American history'; Goldman Sachs's Peter Oppenheimer partly dissented — 'there does not appear to be a valuation bubble … there may be an earnings bubble' — while Apollo's Torsten Slok declared 'the 60/40 portfolio is broken.'

— Ray Dalio

A cluster of prominent investors weighed in on the returns question within days of SpaceX's IPO. Ray Dalio, the Bridgewater founder, said there are 'classic signs' of a bubble reminiscent of 1929 and 2000, singling out the surge of AI equity issuance — SpaceX's record IPO, with Anthropic and OpenAI heading toward roughly trillion-dollar listings — as one of the two forces that 'prick' a bubble, alongside rising rates. He endorsed GMO co-founder Jeremy Grantham's verdict of 'the biggest investment bubble in American history,' a 'bubble within a bubble'; Grantham's January 2026 paper with Edward Chancellor put price/book and cyclically adjusted earnings multiples at extremes 'surpassed only in 1929, 1972, 1999–2000, and 2021.' The dissent is a nuance worth recording: Goldman Sachs's chief global equity strategist Peter Oppenheimer argued on August 3 that the risk is 'an earnings bubble,' not a valuation one, and the same day Apollo's Torsten Slok said 'the 60/40 portfolio is broken.' Because the four voices range from full bubble call to partial dissent, the aggregate is recorded as a single dated statement of the conversation, not a consensus.

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Palantir's revenue jumps 93% and it books a $1.06 billion GAAP profit — the buildout's clearest reported earnings

Palantir reported second-quarter 2026 revenue of $1.935 billion, up 93% year over year, with U.S. commercial revenue up 149%. GAAP net income was $1.062 billion, a 55% margin, and adjusted free cash flow $1.220 billion, a 63% margin; the company raised full-year 2026 revenue guidance to $8.150–8.158 billion. Closed total contract value reached $3.373 billion (up 49%), U.S. commercial contract value a record $2.132 billion (up 153%), and cash and short-term Treasuries stood at $9.2 billion. These are filed figures from the company's own earnings release, and they stand as this page's cleanest example of AI-linked revenue that is both large and GAAP-profitable — a counter-case to the frontier labs' deepening losses.

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Amazon hikes 2026 capex to $220 billion as AI and chips each pass a $25 billion run-rate

Amazon posted Q2 2026 net sales of $200.6 billion and net income of $62.6 billion, which includes a pre-tax income of $53.4 billion primarily from its investments in Anthropic. AWS generated $42.2 billion in sales, expanding 37% year-over-year. CEO Andy Jassy noted that the AI and homegrown chips units each exceeded a $25 billion annual revenue run rate. However, Q2 capex reached $54.2 billion, pushing trailing-twelve-month free cash flow to negative $7.6 billion. The company raised its 2026 capital expenditures forecast to $220 billion, up from the $200 billion projected in February.

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A $45 billion AI hedge fund is wiped down to $10 billion in days, and sells its whole public book to Citadel

Situational Awareness, the fund founded in July 2024 by former OpenAI researcher Leopold Aschenbrenner and named after his widely read essay, was forced by margin calls to sell its entire portfolio of listed positions to Ken Griffin's Citadel at a discount. Its assets fell from about $45 billion at the start of July to around $10 billion. The losses came from both sides of the book: long positions in AI infrastructure such as SK Hynix and CoreWeave fell while short positions in software companies including Adobe moved sharply against it, on reported leverage of as much as 400%. Bank of America, Goldman Sachs and JPMorgan Chase, its prime brokers, worked to reduce the positions. About two-thirds of the fund's holdings were listed long and short positions; the rest were private stakes dominated by a multibillion-dollar investment in Anthropic, which the firm said it was not marketing. The counterweight belongs in the record too: the episode has so far stayed contained — Citadel absorbed the book, the named stocks have since rallied, and Ninety One's Sahil Mahtani attributes the collapse to the fund's own risk management rather than to systemic leverage, arguing that elevated earnings expectations, not borrowing, are the AI trade's main risk to markets.

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Earlier this year

26

At Microsoft, the buildout paid: Azure past $100 billion, and the market reversed its verdict in a week

Microsoft closed its fiscal year with revenue of $90.007 billion for the quarter, up 18%, operating income of $40.603 billion, up 18%, and net income of $35.766 billion — and unlike Alphabet a week earlier it funded a record quarter of building out of its own cash. Capital expenditure including finance leases was $41 billion, up about 69% year over year and taking the fiscal year to $145.3 billion, with roughly two thirds going to short-lived assets, mainly CPUs and GPUs. Operating cash flow rose 30% to $55.4 billion; free cash flow fell 23% to $19.64 billion but stayed comfortably positive, and Microsoft still returned $10.2 billion to shareholders in the quarter. The return side is the part that moved. Azure passed $100 billion of revenue for the fiscal year for the first time and grew 43% in the quarter, accelerating from 40%; commercial remaining performance obligation reached $678 billion, up 84%, and — answering the concentration question directly — up 25% excluding OpenAI, with a weighted-average duration of 2.3 years and about 30% due to be recognised within twelve months. None of that is an AI revenue line: Microsoft discloses Azure only as a growth rate, Microsoft Cloud as a company-defined aggregate of $59.3 billion, and Intelligent Cloud as a $39.306 billion segment that is not AI-only. Its separate disclosures on OpenAI are firmer — $24.1 billion earned from the partnership through the fiscal year including revenue-sharing payments, $6 billion owed by OpenAI, $13 billion of funding committed and $11.9 billion provided. Shares rose about 8% after hours and were up roughly 14% at the next open, having gone into the report down about 19% for the year. Seven days after a company that beat on revenue was sold for planning to spend more, a company that beat while holding its spending flat was bought.

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Meta's free cash flow falls 91% to $784 million, and its profits fall while revenue climbs 28%

Meta's second quarter is the cleanest illustration yet of what the buildout costs a company that has no cloud business to sell it back through. Revenue rose 28% to $60.801 billion — a record — while operating income fell 8% to $18.775 billion and net income fell 14% to $15.848 billion, taking the operating margin to 31% from 43%. Earnings of $6.18 a share missed consensus of between $7.14 and $7.22. Free cash flow fell to $784 million from $8.55 billion a year earlier, a fall of about 91%, and the whole of it is capital spending: operating cash flow actually rose, to $31.862 billion from $25.561 billion, while capital expenditure including finance-lease principal reached $31.08 billion against $16.538 billion of property and equipment purchases a year before. Depreciation and amortisation rose 46% to $6.356 billion and total costs rose 55%, including $2.40 billion of legal charges and $1.18 billion of severance from the May headcount reduction; excluding those, chief financial officer Susan Li said operating income would have risen 9%. Meta narrowed its 2026 capital-expenditure guidance to $130–145 billion by raising the floor from $125 billion, and raised the bottom of its expense range to $165–169 billion. Long-term debt reached $83.664 billion, up from $58.744 billion at the end of December. Every dollar of the revenue sits in two segments, Family of Apps and Reality Labs; there is no compute or AI-infrastructure line, though Mark Zuckerberg told the call the company is 'getting a lot of offers for compute at a significant premium over what we paid for it' and expects to build a large business serving outside customers. Shares fell about 8% in the session and 9.5% by the end of the analyst call.

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Alphabet's free cash flow turns negative for the first time as AI capex doubles

In its filed second-quarter results Alphabet reported negative free cash flow of $5.855 billion — the first negative quarter since it went public in 2004 — as capital expenditure doubled year over year to $44.924 billion against $39.069 billion of operating cash flow. The filing's own quarterly reconciliation shows the slide in four steps: $24.461 billion in Q3 2025, $24.551 billion in Q4 2025, $10.116 billion in Q1 2026, then below zero. Alphabet also raised full-year 2026 capex guidance to $195–205 billion from the $180–190 billion given a quarter earlier — the second consecutive raise, against an analyst consensus near $188 billion, and set against $91 billion actually spent in 2025. It was not a weak quarter: revenue rose 24% to $119.8 billion and Google Cloud revenue rose 82% to $24.8 billion, which is GAAP segment revenue rather than an annualized run-rate and therefore the firmest AI-adjacent revenue disclosure on this page. Alphabet still holds $242.5 billion in cash and securities, and trailing-twelve-month free cash flow remains positive at $53.3 billion. The significance is narrower and harder: at the best-positioned hyperscaler, in its strongest cloud quarter, the buildout stopped paying for itself out of the quarter's operating cash.

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OpenAI's audited financials reveal $13 billion in revenue against $34 billion in spending

Leaked audited financials, verified by the Financial Times, showed OpenAI generated $13.07 billion of revenue in 2025 while spending $34 billion — a $20.9 billion operating loss, up from a $3.7 billion revenue / $8.8 billion operating-loss profile in 2024. A headline net loss of $38.5 billion was inflated by a $41.6 billion non-cash charge from its for-profit conversion. Of its costs, $17.2 billion went to Microsoft. It is the cycle's clearest reality check on the gap between reported revenue and the capital being committed — at the epicenter of the buildout.

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Alphabet raises $84.75 billion in equity for AI infrastructure, the largest equity raise by a listed company

Alphabet announced $80 billion of equity offerings on June 1 to fund AI compute, then upsized and priced them two days later at $84.75 billion — the largest equity capital transaction ever completed by a listed corporate, according to FactSet. The structure: $15 billion of mandatory convertible preferred depositary shares, $15 billion of Class A and Class C stock, a $40 billion at-the-market programme beginning in Q3 2026, and a $10 billion private placement to Berkshire Hathaway ($5 billion of Class A at $351.81 and $5 billion of Class C at $348.20 a share). The headline overstates the AI portion: Alphabet's own release says ATM proceeds will go 'primarily' to an administrative change in how it meets employee equity-award tax obligations, with about $30 billion of the $40 billion covering 2026 tax obligations — leaving roughly $44.75 billion directed at general corporate purposes including AI capex. The same release disclosed over $85 billion of debt raised in the prior year across six currencies, taking Alphabet's total debt above $100 billion. After the bond market — Meta's $30 billion sale in October 2025 — the equity market.

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Nvidia reports $215.9 billion in fiscal-2026 revenue — the clearest measure of AI money flowing

Nvidia reported full fiscal-2026 revenue of $215.9 billion (up 65%), with Data Center revenue of $193.7 billion — its Q4 alone hit $68.1 billion. Data Center went from $115.2 billion the prior year; the company returned $41.1 billion to shareholders. As the AI economy's toll booth, Nvidia's filed, SEC-liable revenue is the single hardest number showing capital actually converting into sales — even as most of it flows from a handful of customers who are themselves financed by Nvidia.

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Understating depreciation by extending useful life of assets artificially boosts earnings - one of the more common frauds of the modern era.

— Michael Burry

Investor Michael Burry accused AI hyperscalers of overstating profits by extending the assumed useful life of AI hardware that in practice turns over every two to three years, estimating the industry would understate depreciation by ~$176 billion over 2026–2028 and overstate Oracle and Meta profits by ~27% and ~21% by 2028. The filing record is mixed against him: Amazon actually shortened a subset of servers from six to five years citing AI's pace, while Google, Oracle and Microsoft disclose lives up to six years. Burry holds disclosed put positions against Nvidia and Palantir.

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Nvidia commits up to $100 billion to OpenAI, igniting the 'circular financing' debate

Nvidia announced it would invest up to $100 billion in OpenAI to fund a 10-gigawatt buildout running on Nvidia systems — the clearest instance of a chip supplier funding a customer that buys its chips. New Street Research estimated every $10 billion invested returns ~$35 billion in GPU purchases. Analysts split sharply: some called it prudent balance-sheet use, others 'bubble-like,' invoking the 1990s telecom vendor-financing bust. The GPUs are to be leased, not sold, sparing OpenAI a depreciation charge and shifting that risk to Nvidia.

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Stargate: a $500 billion AI-infrastructure commitment unveiled at the White House

OpenAI, Oracle, SoftBank and MGX announced Stargate, a new company intending to invest $500 billion over four years in US AI infrastructure for OpenAI, with $100 billion to be deployed immediately. Unveiled at the White House alongside President Trump, it set the scale of ambition for the entire buildout — but the $500 billion is a stated four-year intention, not committed capital.

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