Hyperscaler bonds now pay 55bp more than everyone else's

Archived reading, published Fri, 28 Aug 2026 06:23:04 UTC (24 days ago). This is not the current state of the meter.

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CRASH-O-METER

Cracking

how close are we

Fragility88

how much tinder is stacked up — moves slowly

Ignition32

how close a spark is — moves fast

Crash Lab watches the machinery under the current boom: the debt paying for AI data centres, private credit, the leverage that has moved out of banks into places nobody has to mark, the bond market and the dollar.

Every four hours it reads the day’s reporting from 7 sources and rewrites this page.

Status: Held at 60. The market closes in front of us are identical to last run's: the VIX, the market's gauge of how much turbulence traders expect over the next month, reads 14.51 (under 20 is calm). The extra interest that shaky borrowers pay over the government sits at 2.67 percentage points, the same figure for safer corporate borrowers is at 0.80 percentage points, and the S&P 500 is just 0.87% off its all-time high. There is no new observable stress to price. The one genuine deterioration in the window (July subprime auto payments running late hit a record 6.13%) is offset by evidence that the bond market is now charging separately for AI credit risk rather than hiding it, at a premium of 0.55 percentage points. Fragility stays at 88. Nothing was unwound and nothing new was stacked at a size that matters.

Reporting from 26 Aug to 28 Aug

Crash points

Eight places it could go, scored 0–10. Tap one for the explainer.

What’s moving the needle

What changed in the last few hours, and what each one says about the plumbing.

Household credit28 Augmedium

Subprime auto hits a July record, and lenders lean in

Loss rates and the willingness to lend are moving in opposite directions in the same group of borrowers, which is how a slow credit problem becomes a fast one.

Fitch's index of subprime auto loans at least 60 days late hit 6.13% in July, the highest July reading in a series that starts in 1994, up from 5.80% at midyear. In a normal year, subprime auto delinquency runs closer to 4%. The prime rate in the same index is 0.49%. Subprime borrowers are now more than twelve times as likely to be two months behind as prime ones. Separately, the New York Fed's second-quarter data show 5.5% of all US auto debt at least 90 days late, the second-highest level in more than twenty years of the series. This cuts against what we wrote two runs ago, when credit card and student-loan numbers improved and we trimmed our fragility reading on the household front. It is a divergence rather than a reversal: credit card payments 30 days late are still around 2.7% and stable, and the average credit score held at 714. The deterioration is concentrated in exactly one place: the bottom of the credit ladder, in the one loan Americans need to keep a job. What makes it worth a dispatch is the second number. Cox Automotive's Dealertrack credit availability index read 105 in July, up 6.9% year on year and near an eleven-year high in looseness, and credit-score data show auto balances for the lowest-scoring borrowers up 36% year on year. Lenders are not tightening into rising losses. They are extending more credit to the group already failing. The mechanism to watch is how these lenders fund themselves. Deep subprime auto lenders raise money by bundling their loans together and selling slices of the income to investors, where excess interest absorbs early losses before any bondholder is touched. That is why late payments can run hot for a long time without anything visibly breaking. Credit Acceptance, the deepest-subprime lender we track, is up 7.8% in twenty days and sits 2.9% off its high. Nobody is pricing distress. The tell would be a deal that fails to find buyers, or one that trips its cumulative-loss trigger and starts diverting cash away from the riskiest slice.

Hidden leverage and shadow banking28 Augmedium

The SEC has subpoenaed four prime brokers

The lending that large banks do to hedge funds against concentrated AI stocks is the shortest path between a stock selloff and a funding crisis, and a regulator is now measuring it.

On August 24 the SEC, the agency that polices American markets, sent subpoenas to Bank of America, Citi, Goldman Sachs and JPMorgan seeking information on the trades and use of borrowed money at Situational Awareness, the AI-focused hedge fund run by 24-year-old Leopold Aschenbrenner, whose portfolio was reported down roughly 67% before it was forced to sell everything into July's AI selloff. Funds have bad quarters. Losing two thirds of your money in a month is not a bad quarter. The FT filled in the other side of that trade this week. Jane Street had invested heavily in the fund, employs a former Situational Awareness staffer, and held many of the same AI-linked names: SanDisk, Nebius, Bloom Energy. The combination produced a $15bn hit to trading revenues and the firm's first losing month in a decade. "When you start seeing the kind of revenue these guys are putting up, the only way that's possible is when your holding period extends as well as the size," Bloomberg Intelligence's Larry Tabb told the paper. In other words, the profits were so large that the firm must have been holding bigger positions for longer, which is exactly what makes a loss this size possible. In its own letter to staff, Jane Street admitted it was not protected against some of the moves. The plumbing question the subpoenas are aimed at is how much of a cushion the banks required. A prime broker (the desk at a large bank that lends to hedge funds) lends against a portfolio and sets how much of the client's own money must be posted. When the positions are concentrated and correlated, the model is only as good as its assumption that the stocks move independently. They did not. What the regulator wants to know is how much borrowed money four large banks extended, against what security, to a fund that was two years old. The honest reading is that this already happened and the system absorbed it. There was no funding crisis, and Goldman and Morgan Stanley shares are up 3.8% and 3.6% in five days. The market does not think the prime brokers lost money. The residual risk is second-order: a subpoena tends to make risk committees more conservative, and the cushion requirements on AI-correlated books are exactly the kind of thing that tightens quietly, weeks before anyone reports it.

The AI capex bubble28 Augmedium

Nebius is borrowing against the chips themselves

Loans secured on GPUs are really loans on customer contracts, dressed as equipment-backed credit, and the equipment loses value on the vendor's schedule.

Nebius upsized its debt raise this week from $4.5bn to $5bn, reportedly split into $3bn of private convertible notes due 2030 and $2bn due 2034. It is targeting up to $25bn of spending on infrastructure this year against more than $40bn of customer commitments and more than $9bn of expected upfront customer payments in 2026. In July it took a separate $775m loan secured on existing GPUs and on the cash flows from an agreement with a borrower safe enough to be considered investment-grade. That July loan is the structure worth understanding, because it is spreading. Two things are pledged: the hardware, and the contract. The hardware is a depreciating asset with no deep resale market and a replacement cycle set by the vendor. When Nvidia's next-generation chip ships, the resale value of what secures this loan is decided by Nvidia's product calendar, not by the borrower. The contract is the real credit, which means the lender is taking the customer's risk while calling it a secured loan on equipment. The same logic runs through the rest of the week's financing. Digital Drive is preparing $1.085bn of secured notes for a CoreWeave-leased campus through a vehicle affiliated with two data-center developers. Applied Digital is sounding out roughly $3.5bn of debt from companies too shaky to be considered safe borrowers. Broadcom's reported $60–100bn chip financing would be issued through a separate special-purpose vehicle with Blackstone and Apollo named as participants. In each case the borrowing sits somewhere other than the books of the company whose credit actually backs it. One caution: most of this reaches us through web sweeps citing other outlets, and the details of the Nebius deal are reported inconsistently. What is solid is the direction. Shares are not confirming: Nebius is up 15.9% in twenty days but still 21.4% below its recent high, and CoreWeave is 19.4% off its own.

Bond market dysfunction27 Aughigh

A price on AI credit, at last

It is the first hard market price on AI credit risk, and it says the public bond market is charging for it even while the broader index looks complacent.

Matthias Reschke, who runs European investment-grade bond sales at JPMorgan, told Bloomberg TV that bonds sold by the hyperscalers (the handful of giant tech companies building AI infrastructure) trade about 0.55 percentage points above the extra interest other US corporate borrowers pay, what he called a "material premium." The same group has raised more than $220bn this year across seven currencies. In several smaller markets, a single deal was enough to make a Silicon Valley company the largest non-financial borrower in the country. Put that next to what the broader market is doing. The index that tracks borrowing costs for safe corporate America is at 0.80 percentage points above government rates, the tightest reading in our eight-run trail. A 0.55 percentage point premium on top of that average is most of the index's own cost again. So the credit market is not asleep on AI. It is charging for it, specifically, in a market that is otherwise priced as though nothing can go wrong. That cuts both ways for our running argument. Risk that is priced is risk that is visible, and visible risk is the kind that gets repriced gradually rather than discovered all at once. Public bonds with a quoted price are the best place for this exposure to sit. The problem is where the rest of it sits: in leases that have not started, in special-purpose vehicles (separate companies set up to hold something off the parent's books), in loans secured on chips, in guarantees written by the vendor. None of those carry a price anyone can see on a screen. Reschke's own framing is the tell. "We will continue testing at what price levels investors will be able to participate," he said. "We don't doubt that we will be able to place it, it's all a question of price." That is a market clearing, not a market seizing. The moment worth watching is the first deal that does not place at any price the issuer will accept, because the borrowing does not stop when that happens. It just moves somewhere with no price to quote.

Crypto and TradFi contagion27 Aughigh

The obituary and the tape disagree

A company that holds bitcoin and trades above the value of its coins can issue shares and buy more. Below that value, it becomes a forced seller. The tape just flipped several of them back across that line.

The FT ran the numbers on the fifty companies holding the most bitcoin: combined market value down from $150bn in July 2025 to $67bn, with Strategy alone accounting for $79bn of the decline from its peak. Forty-three of the fifty trade below their pre-pivot price. Thirty-five have halved. "It was always doomed," a crypto research head told the paper. "I don't think we see new ones." We counted that as genuine paying-down-of-borrowed-money when it first crossed. Then look at the screen. Strategy closed up 11.6% on the day, 22.3% in five days and 40.8% in twenty, at the top of its recent range. BitMine is up 41.7% over twenty days, SharpLink 38.6%, both at their period highs. Bitcoin is up 23% in the same window to $79,894. The two facts are compatible, and the way they fit together is the whole mechanism. A company that exists to hold bitcoin is an arbitrage on its own share price: if the stock trades above the value of the coins it holds, management can issue new shares, use the cash to buy more coins, and every existing shareholder ends up with more coin per share. Below that value the machine runs backward. Issuing shares dilutes everyone, so the only lever left is selling coins, which is what the FT found many of them doing. So a 40% rally is not cosmetic. It is the difference between a company that must sell into weakness and one that can buy into strength. The FT attributes the move to the debasement trade set off by the Treasury Department's bond-market intervention, the same impulse driving gold. What we do not know is whether any of these companies have restarted selling new shares into the market. That filing, not the share price, is what would tell us the model is back rather than merely bouncing.

The dollar, gold and reserve status27 Augmedium

Central banks were not the ones buying gold

The gold rally is being read as a structural shift away from the dollar when the flow data says it is fund money that can reverse.

Gold is at $4,625, up 14.7% in twenty days. Silver is up 17.3%. The story attached to that move is that the world's central banks are quietly diversifying out of dollars. The World Gold Council's own revision says otherwise. The Council cut its estimate of first-quarter central bank purchases to 57 tonnes, from 244, a downward revision of 187 tonnes, with the difference reclassified into over-the-counter and other demand. Second-quarter buying was 289 tonnes, up 62% year on year, but the first half still totals about 345 tonnes: the weakest first half since 2022. We checked this because it was circulating on gold-focused channels; it is confirmed, and it comes from the WGC's own Gold Demand Trends. So who is buying? Flow data reported by Bloomberg says gold and bitcoin ETFs (funds that let ordinary investors buy exposure without holding the asset themselves) took in a record $7bn over five trading sessions, with roughly $3.4bn into SPDR Gold Shares alone. That is Western fund money, not sovereign reserves. The distinction matters because the two buyers behave differently. A central bank that buys gold as a reserve asset does not sell it when the price falls 8%. The position is strategic and close to permanent, which is why sovereign accumulation raises the floor under the price. ETF money is a position, and positions get closed. A gold price built on ETF flow is a gold price with a reversal built in. Note also what the dollar is doing while this happens: the dollar index, which tracks the dollar against a basket of other currencies, is at 99.19, down only 0.77% in twenty days. If this were a genuine shift away from the dollar as a reserve currency, you would expect the dollar to be the mirror image of gold. It is not. The debasement trade is currently a trade.

Signs of the times

Stuff you wouldn’t have believed was possible until 2026.

A $14.6bn company signs a $45bn tenant

Nscale raised $2bn in March at a $14.6bn valuation. Five months later Anthropic has committed roughly $45bn over six years to rent 460MW at its West Virginia campus, a site Nscale estimates will cost $69bn to build, with a 2GW gas plant on the property to power it. The 460MW alone is enough electricity for about 345,000 US homes at any one time.

ai_capexscaleneoclouds

27 AugFinancial Times

Google's purchase orders grew tenfold

Morgan Stanley's tally of Big Tech's commitments that do not appear on their balance sheets shows Google's purchase commitments at $707bn in the most recent quarter, against $72.5bn for the whole of 2025. Suppliers and developers borrow against promises like these, which is how a purchase order becomes somebody else's borrowed money.

ai_capexoff-balance-sheet

27 AugAxios

A$3.3bn owed, before the deposits

Administrators to collapsed Sydney developer Bathla say the estimated A$3.3bn owed to creditors does not include deposits paid by thousands of apartment buyers across hundreds of projects, and that the company would burn A$40m before year-end if it kept trading. Bathla was a large borrower from investment funds rather than banks; ASIC's chair calls this the sector's "first significant cracks."

private_creditpropertyaustralia

27 AugAustralian Financial Review

The rumour mill

What the crash-callers are saying, checked against real reporting.

Partly true

“Nvidia wants to give OpenAI a $125bn guarantee.”

The announced figure is $105bn for the Ohio data center, with the WSJ reporting Nvidia's revised exposure at less than $120bn. The number worth knowing is the one that was discussed and dropped: earlier talks ran to $250bn.

Claimed by Wealthion

Confirmed

“The World Gold Council revised Q1 central bank gold purchases down to 57 tonnes, 187 tonnes below what the market had been told.”

Straight from the WGC's own Gold Demand Trends, and reported by Bloomberg and MarketWatch. It makes the 345-tonne first half the weakest since 2022, while gold is up 14.7% in twenty days.

Claimed by Kitco NEWS

Confirmed

“Three FOMC members dissented in favour of a rate hike, and Hammack has said "now is the time to act".”

The July decision was 9–3 to hold rates at 3.50–3.75%, with Hammack, Kashkari and Logan preferring a 0.25 percentage point increase. Worth remembering when reading commentary that assumes the Federal Reserve's next move is downward.

Claimed by Meet Kevin

Partly true

“Bessent has launched a Treasury version of Operation Twist — long-bond buybacks funded by issuing more bills.”

Bessent did call it a "Treasury Twist" on CNBC, and buybacks were doubled to at least $4bn per operation. But the Treasury Department has not said how it will fund them. Issuing more short-term bills is the market's assumption, and CNBC reports he is also weighing the nearly $1tn sitting in the government's own cash account at the Federal Reserve.

Claimed by Thoughtful Money (Adam Taggart)

Earlier developments

Dispatches from previous readings. The same argument, no longer the news.

The AI capex bubble27 Aughigh

A $2.4bn company borrows $5bn

The AI buildout is increasingly financed by lending against contracts with private counterparties whose ability to pay nobody outside can verify.

JPMorgan has begun early outreach to lenders for a $5bn debt package to fund Volta Infra Holdings' AI data-centre buildout, Bloomberg reported. Volta raised $300m of venture money earlier this month at a $2.4bn valuation, backed by Nvidia and Dell. It was founded this year by two former Brookfield infrastructure executives. The debt being arranged is roughly twice the company's entire equity value, for a firm that is a few months old. The way to read this is not as a bet on Volta. It is a bet on a contract. In August Volta struck a $10bn deal to supply computing capacity to Anthropic, and it is that promise of future payments — not Volta's balance sheet, which barely exists — that the lenders are being asked to underwrite. The credit question is therefore Anthropic's. Anthropic is private. It was valued at $965bn in May and plans an IPO this autumn. Adding up only the deals Bloomberg and the FT have reported — $50bn with Fluidstack, $45bn with SpaceX, $45bn with Nscale, $10bn with Volta, and more than $150bn of Google chips — gives over $300bn of announced compute commitments against revenues nobody outside the company has seen. That arithmetic is ours, from their published deal list; the company does not publish a total. Bloomberg puts total borrowing for data centres and AI since last year at roughly $600bn. The mechanism repeats: a supplier signs a long contract with an AI lab, borrows against it, and the lender's recovery depends on a private company continuing to want the compute at the agreed price. Nothing in that chain is marked daily.

Private credit and BDCs27 Augmedium

The two non-accrual numbers

The difference between reported and adjusted non-accruals is the difference between what a private lender has decided to admit and what its borrowers are actually paying.

Morningstar's tally of the ten largest listed BDCs puts Q2 non-accruals at 3.95% of debt at cost, up 20bp on the quarter, or $3.3bn. That is the headline figure. The more interesting one is underneath it: when you count every loan to a borrower that has at least one loan on non-accrual, the exposure is $5.0bn, or 5.95% — up 54bp in a quarter, nearly three times the move in the headline number. The gap is the mechanism. Non-accrual is not an event; it is a decision the lender makes to stop booking interest it is not receiving. A borrower in trouble often has several tranches from the same fund. Put the worst one on non-accrual and the rest keeps accruing income into the fund's reported yield. The adjusted number says roughly $1.7bn of loans to already-impaired borrowers are still counted as performing. Two other prints: the top-20 BDCs' median non-accrual rate reached 2.8% of cost, the highest since 2017, and Blackstone's BCRED went from 0.6% to 2.4% between Q1 and Q2, driven by Medallia and Affordable Care International. Note also that the top-10 portfolio shrank 2.3% — a smaller denominator flatters nothing here, it makes the ratio worse. The prices disagree. Over twenty days FS KKR is up 16.1%, Blue Owl's manager up 20.5%, Ares Capital up 5.5%, Blackstone Secured Lending 1.1% off its high. Equity holders are being paid a dividend out of a yield that the adjusted figure suggests is partly accrued rather than collected. These are single-source tallies, not audited aggregates, and we treat them accordingly.

Bond market dysfunction26 Aughigh

The whale bought 72% of the auction

The marginal buyer of Japanese government debt is a pension fund rebalancing on autopilot, and its buying reverses exactly when the market would need it most.

On 18 August Japan's finance ministry auctioned about ¥2.5tn of five-year government bonds. More than ¥1.8tn went to buyers nobody could identify. The largest named buyer, Mitsubishi UFJ Morgan Stanley Securities, took ¥265bn. Traders told Nikkei there was only one plausible explanation: the whale. The whale is GPIF, Japan's public pension fund, with more than ¥300tn ($1.88tn) under management. A 2025 rule change let it bid directly in JGB auctions rather than going through dealers. The point of bidding directly is concealment — the fund's identity as a buyer becomes clear only after it has left. What makes this structurally interesting is why it buys. GPIF runs a fixed allocation split roughly evenly between domestic stocks, foreign stocks, domestic bonds and foreign bonds. When global equities rally, the equity sleeve grows and the fund must buy bonds to rebalance. In fiscal 2025 it bought a net ¥14tn of Japanese bonds and sold a net ¥10tn of domestic stocks. So the largest incremental buyer of Japanese government debt is buying for reasons entirely unrelated to the price of the bond — and the flow reverses in an equity selloff, which is precisely when the JGB market would otherwise need a bid. The other side of Japan's rate rise is already visible. Seventeen shinkin banks — small community lenders — posted net losses for the year to March, up from five. Bond-related losses across the sector nearly tripled to ¥424.8bn, and 237 of 245 institutions carry unrealised losses on securities, ¥2.6tn in total. Ehime Shinkin lost ¥18.9bn: its first loss since it was founded in 1951.

Hidden leverage and shadow banking26 Augmedium

Who actually owns the long end

Treasury is buying back long bonds from a market whose marginal holder is levered around ten to one in overnight repo.

A set of numbers has been circulating in market commentary this week that is worth stating plainly, with the caveat that it is not new: it comes from the Fed's Form PF analysis published in June, using September 2025 data. This is an old measurement being passed around, not a fresh disclosure. Large hedge funds held $2.4tn long and $1.6tn short in Treasuries — $4tn gross, about 8.5% of privately held Treasuries by market value, roughly double their share in early 2023. Within that, the cash-futures basis trade was $830bn, close to twice its early-2020 peak, and swap-spread arbitrage $305bn. Financing came from around $3tn of repo borrowing. About 90% of the exposure sits in the 50 largest funds, up from 84%. The basis trade, for readers who have not met it: futures on Treasuries usually trade slightly rich to the underlying bonds, because asset managers like the leverage futures give them. A hedge fund buys the bond, sells the future, and collects the difference. The gap is a few basis points, so the only way to make it a business is to do it very large and borrow nearly all of the money in overnight repo — commonly $100m of position on $10m of capital. The risk is not credit. It is funding. If repo haircuts rise or the spread moves the wrong way, the position must shrink, and shrinking means selling cash Treasuries into a market that is already falling. One piece of evidence cuts the other way, and we count it. In April and May 2025 roughly $100bn of a $295bn swap-spread book came off while basis positions stayed stable and repo funding held. That mark was tested and did not break.

Crypto and TradFi contagion26 Aughigh

The Bank of England is given a growth objective

A run on a large sterling stablecoin would be a forced sale of gilts by an issuer with no lender of last resort.

The UK Treasury will hand the Bank of England a statutory secondary objective to support innovation in payment systems and digital money, the FT reports. Financial stability remains the primary objective. City minister Lucy Rigby framed it as ensuring "the UK remains a global leader in financial services". A secondary objective is not decoration. It is a thing a regulator must be able to show it weighed when it writes a rule, and it is enforceable in the sense that industry can point to it when a rule is consulted on. The rule in question is already drafted: in June the Bank set out its stablecoin regime for sterling-pegged tokens, and it had planned holding limits — caps on how many tokens any one person or firm could own. Crypto firms objected. The Bank has been criticised for being too conservative. Now it acquires a legal duty to promote the thing it was being conservative about. Why the caps existed matters. A stablecoin is a claim that behaves like a deposit — redeemable at par, on demand — without deposit insurance or capital behind it. What sits behind it is a portfolio of short-dated assets. If holders redeem en masse, the issuer sells that portfolio, and if the portfolio is large enough relative to the market it is selling into, the sale moves the price of gilts and bills. That is the money-market-fund problem with a payments interface bolted on, and holding limits were the Bank's way of keeping the portfolio small enough not to matter. This is the migration Crash Lab tracks, in its cleanest form: a deposit-like liability moving out of the regulated, insured, capital-backed banking system into something that looks like money and is not.

The AI capex bubble27 Aughigh

The other side of Nvidia's balance sheet

The AI buildout's credit risk is increasingly concentrated on one supplier's balance sheet, in a line item that carries no promises from the borrower and no assets pledged as security.

Between January and July, the money Nvidia is owed by customers but has not yet collected went from $38.5bn to $63.1bn, a 63% rise (CNBC). In the quarterly filing, "five direct customers" account for 70% of that balance. A year earlier it was three customers and 56%. This is the least glamorous form of vendor financing and the most direct. Nvidia has shipped the chips, booked the revenue, and is waiting to be paid. In the meantime it is an unsecured creditor of whoever holds the hardware. The number matters less as a level than as a ratio to everything else Nvidia has committed: alongside $279bn of supply and capacity commitments, $29bn of cloud service agreements and the $105bn Ohio lease guarantee (totaling $366bn on Goldman's tally in the same report), Nvidia is now simultaneously the seller, the financier and the backstop for a customer base of roughly five names. The forward path is the part worth watching. Bank of America projects receivables at $113bn in January 2028 and $147bn in 2029; Morgan Stanley gets to $171bn. Those are projections, not disclosures, and both banks are positive on the stock. But if they are roughly right, the credit Nvidia extends to its customers grows faster than most of those customers' operating cash flow. The question worth holding: what does Nvidia actually recover on a receivable from a smaller cloud company whose only asset is depreciating silicon that Nvidia itself sold it? The filing does not say, because nobody has had to find out.

Bond market dysfunction27 Aughigh

Hyperscaler bonds pay a premium everyone else does not

The broad credit indexes look calm because they average away the sector where the borrowing actually is.

JPMorgan's head of European investment-grade finance, Matthias Reschke, told Bloomberg TV that bonds issued by the giant cloud and AI companies trade about 0.55 percentage points above the interest rate on other US corporate debt of similar quality, a "material premium" (Bloomberg). Meta, Alphabet, Oracle, Microsoft and Amazon have raised more than $220bn this year across seven currencies. "We don't doubt that we will be able to place it," Reschke said. "It's all a question of price." This is the most useful single number in today's evidence, because it dissolves a contradiction we keep having to explain. The extra interest that safer corporate borrowers pay over the government sits at 0.80 percentage points, and for the riskiest borrowers it is 2.67 percentage points. Both are among the tightest readings in our trail. On the face of it, the credit market is not worried about anything. But an index is an average, and the average is dominated by companies that are not building data centers. Inside it, the market is charging the AI complex roughly two-thirds more than the going rate for borrowers with equivalent credit ratings. So the credit market is discriminating. That is a healthier picture than pure complacency, and we should say so. It is also how the risk gets distributed: at 0.55 percentage points of extra interest the bonds find buyers, those buyers are compensated for the risk, and the exposure spreads out across pension funds and insurers rather than sitting in a few trading firms' inventories. What would worry us is the premium widening while borrowing continues at the same pace anyway, a sign that the borrowers are, in Treasury Secretary Bessent's phrase from last week, "almost yield agnostic," and will pay whatever it takes.

Hidden leverage and shadow banking27 Augmedium

Jane Street's first losing month in a decade

The firms that keep markets running during a panic are now making large directional bets that nobody sees until after they go wrong.

In July, a hedge fund run by 24-year-old Leopold Aschenbrenner was forced to sell its positions after heavy losses in AI stocks. Jane Street, one of the largest trading firms in the United States, had invested heavily in that fund, Situational Awareness, and held many of the same names: Sandisk, Nebius, Bloom Energy. The result, per the FT, was a $15bn loss in trading revenues and Jane Street's first losing month in a decade (FT). The wording leaves open whether that is money actually lost or a shortfall against expected revenue; Jane Street does not publish quarterly accounts, so the distinction cannot be settled from outside. What can be settled is the shape of the thing. Jane Street began as a firm that made money by exploiting tiny price differences over fractions of a second. It is now one of the largest financial institutions in the country and, on the FT's account, takes large one-way bets over long horizons. Larry Tabb of Bloomberg Intelligence puts the mechanism plainly: the revenue is only possible if the holding period extends along with the size, and "the longer your holding period, the more chance that something you can't forecast occurs." In an August letter to employees, the firm admitted it was not protected against some of the moves that undid its July. This is the migration we have been tracking, visible in one firm. A non-bank that provides the buying and selling that keeps equities, options and government bonds trading smoothly has taken a nine-figure-plus hit on a concentrated bet on AI, and the first the outside world hears of it is a feature story seven weeks later. It also cuts the other way: the system took the shock without anyone scrambling for cash. The losses were tested and held.

Crypto and TradFi contagion27 Aughigh

The obituary and the price disagree

A rising share price is not evidence a financing model works. The premium to the value of the coins held is, and that is where the model is broken.

The FT's analysis of the 50 companies holding the most bitcoin finds their combined market value has fallen from $150bn in July 2025 to $67bn. Shares in 43 of the 50 trade below where they were before the bitcoin pivot was announced; 35 have halved or worse. Many are selling tokens and going back to their original businesses. "It was always doomed," says Adam Morgan McCarthy of LO:TECH. "I don't think we see new ones" (FT). The market this week says something else. Strategy rose 11.6% on Thursday alone, is up 40.8% in twenty days and closed at its period high. Bitmine is up 41.7% over the same span, SharpLink 38.6%, Coinbase 16.7%, all four sitting at or near their highs. Bitcoin itself is up 23.7% in twenty days to $80,247. Both things are true, and the reconciliation is the interesting part. The treasury-company model works by issuing shares above the value of the coins held and using the proceeds to buy more coins. It requires a persistent premium. A rally in the underlying coin lifts the share price without restoring the premium, and the FT's structural finding (dozens of these companies selling tokens rather than buying them) is evidence the issuance machine is not running. So the unwinding we noted this week is genuine, and the price move is a bet on the currency losing value rather than a revival of the model. If MSCI's consultation on excluding non-operating companies goes through, the buying pressure from index funds disappears too.

Household credit27 Augmedium

Subprime auto sets a July record; everything else improves

The household number that policymakers watch is being held up by creditworthy borrowers while the riskiest tier prints records, and the two are funded by different people.

Fitch's index of subprime car loans at least 60 days late read 6.13% in July, the highest July in a series running back to 1994. The equivalent rate for creditworthy borrowers was 0.49%. That is a ratio of more than twelve to one. The New York Fed's second-quarter data has one in eighteen of all US car loans at least 90 days behind (5.5%), the second-highest reading in more than twenty years of tracking. Everything else in the household data got better. FICO's autumn report has mortgage payments 30 days late down to 1.35% from 1.42%, car payments 30 days late down about 0.05 percentage points to 2.64%, and bank card payments 30 days late roughly flat around 2.7%. Two issues ago we lowered the dry-tinder score a point on exactly this kind of improvement, and we stand by it. The two facts are not in tension; they describe a split. Household credit in the aggregate is fine because the aggregate is dominated by creditworthy borrowers with fixed-rate mortgages. The deterioration is entirely at the bottom, in the borrowers who finance cars at rates that only work if almost all of them pay. The publicly traded lenders are priced as though this is under control. Credit Acceptance, which lends at the very bottom of the subprime market, is up 7.8% in twenty days and sits 2.9% off its high. Ally is flat. Oportun is up 32% in twenty days. That is defensible (deep subprime loan pools are priced for double-digit losses and the loans are largely bundled and sold off to investors) but it means the stock market is not the place to look for the first sign of trouble here.

Fed, Treasury and policy27 Aughigh

Spending the emergency cash to buy back bonds

A fiscal agency using its cash buffer to manage borrowing costs is doing the central bank's job without the central bank's authority, and in the opposite direction.

The Treasury Department, which borrows the money the government spends, has doubled its buybacks of government bonds that do not come due for twenty or thirty years to at least $28bn over the next two months, announced outside the regular schedule. CNBC reports that two senior officials say the purchases could be funded from the Treasury General Account, the government's checking account at the Federal Reserve, America's central bank, currently holding around $954bn. The TGA exists as a buffer. It has been kept deliberately large so the government can keep paying its bills through shutdowns. Running it down to buy back thirty-year bonds converts a cash reserve into a bet on interest rates, and it does so at a moment when the interest rate the government pays to borrow for thirty years has been near 5.3%, its highest since 2007. Geng Ngarmboonanant, a former deputy chief of staff to Janet Yellen and now at JPMorgan, notes that within 48 hours of the buyback announcement the ten-year rate had rebounded above 4.70%, higher than before the intervention (NYT). Bloomberg's opinion desk is blunter, and Stanley Druckenmiller, who mentored both Treasury Secretary Bessent and Fed chair Warsh, used a Wall Street Journal column to say the effort is doomed and the only question is how much gets spent before conceding. The structural problem is the direction of travel. If buybacks work, they lower borrowing costs across the economy, which stimulates spending. Three members of the Federal Reserve's rate-setting committee (Hammack, Kashkari and Logan) voted against holding rates steady in July, preferring a 0.25 percentage point increase. Treasury is easing while a bloc of the Fed wants to tighten. The ten-year rate has since settled back to 4.66%, so the acute phase has passed. The institutional question has not.

The AI capex bubble27 Aughigh

Three trillion dollars of promises, none of it counted as debt

The borrowed money behind the AI buildout is disclosed in footnotes but not counted as debt, and it is what suppliers and developers are borrowing against.

Morgan Stanley has added up the commitments that seven companies (Alphabet, Microsoft, Meta, Oracle, Amazon, Nvidia and Broadcom) have made for AI infrastructure but have not yet put on their books. The total comes to roughly $3 trillion. That sits on top of an estimated $770bn of debt and lease obligations that do show up on the books (Axios). The split matters. About $1.1tn is payments on data-center leases that have not yet started. Under accounting rules, a lease only becomes a liability when it begins; before that it is a footnote. The other $1.7tn is purchase commitments for chips, memory and networking gear, a promise to buy, not a borrowing. Alphabet's purchase commitments alone reached $707bn in the most recent quarter, against $72.5bn for all of 2025. Nvidia's own supplier commitments, disclosed Wednesday, more than doubled to $279bn from $119bn in a single quarter (WSJ). None of this is hidden. It is all disclosed. But it is not counted where borrowed money is normally counted, and the researchers make the point that matters most: suppliers and data-center developers borrow against those long-dated commitments. An Alphabet promise becomes something valuable that a developer pledges to a lender, which becomes a bond sold to someone reaching for a little more interest. The same obligation is considered safe at one end of the chain and shaky at the other. What has to stay true is simple and unprotected: the tenants must want the capacity, at the agreed price, for the agreed term. If they do, these are ordinary supply contracts. If they do not, the commitment flips from a strategic advantage into a liability. The WSJ's comparison to Cisco in 2001 is the right one. This is a measurement improvement rather than fresh fuel. The commitments were signed weeks and months ago. We simply now have a number for the whole stack, and it is bigger than our running tally.

Hidden leverage and shadow banking27 Augmedium

A five-billion-dollar loan to a company worth two

Debt for these new AI cloud companies is underwritten against the contracts of two or three AI labs, so a portfolio of different borrowers can quietly be a single concentrated bet.

JPMorgan has started sounding out lenders for a $5bn debt package for Volta Infra Holdings, an AI cloud company founded earlier this year by two former Brookfield infrastructure executives. Earlier this month Volta raised $300m of venture money at a $2.4bn valuation (Bloomberg). So the proposed debt is roughly twice the company's equity valuation of three weeks ago, at a company that has existed for months. That is not necessarily reckless, but it tells you what the loan is actually secured on. It is not Volta's own books, because there barely are any. It is the $10bn computing contract Volta signed with Anthropic, plus whatever the chips and the shell buildings are worth if the contract fails. Which makes the credit question a question about Anthropic. And Anthropic is now the firm on the other side of a remarkable stack of these deals: $45bn to Nscale over six years for 460 megawatts in West Virginia (Bloomberg), $50bn to Fluidstack, $45bn to SpaceX, $10bn to Volta. Each of those companies is, or will be, borrowing against its Anthropic contract. A lender who buys the Nscale paper and the Volta paper has written the same credit twice and may not have noticed. Anthropic was valued at $965bn in May and is expected to hold a very large IPO. It may well be good for all of it. But the structure means the sector's debt is not diversified in the way a spread of separate borrowers looks diversified. Bloomberg counts roughly $600bn borrowed for data centers and AI since last year. A meaningful slice of it points back at the same handful of model labs.

Bond market dysfunction26 Augmedium

One buyer took most of Japan's five-year auction

The biggest buyer of Japanese government bonds is a giant pension fund that buys and sells mechanically based on how stocks are doing, and its flows reverse if world stock markets fall.

On August 18 Japan's finance ministry auctioned about ¥2.5tn of five-year government bonds. More than ¥1.8tn went to unidentified buyers, according to Nikkei QUICK's interviews with securities firms. The largest identified buyer, Mitsubishi UFJ Morgan Stanley Securities, took ¥265bn. "The only explanation is that the whale was buying," one trader said (Nikkei). The whale is GPIF, the ¥300tn public pension fund, which a 2025 rule change allowed to bid directly at auctions. Bidding directly is precisely so that nobody trades ahead of it: its identity becomes clear only after it has left. In fiscal 2025 it bought a net ¥14tn of Japanese bonds and sold a net ¥10tn of domestic stocks, one of the biggest rebalances in a decade. The mechanism worth understanding is that this buyer has no opinion. GPIF holds a fixed quarter of its portfolio in domestic bonds; when global stocks rally, the bond share falls and it buys bonds. It is executing arithmetic. That is comfortable while stocks go up. It runs the other way if they fall: the largest single source of demand for Japanese government bonds becomes a seller precisely when everyone else is trying to get out. Underneath it, the small lenders are already hurting. Seventeen shinkin banks (local cooperative lenders) posted net losses for the year to March, up from five, with the sector's unrealized securities losses at about ¥2.6tn and bond-related losses nearly tripling. Ehime Shinkin lost ¥18.9bn, its first loss since it was founded in 1951 (Nikkei). Japan's domestic buyer base is splitting into one giant mechanical rebalancer and a long tail of institutions that cannot afford to buy bonds that do not come due for decades. This matters beyond Tokyo: Japan is the largest foreign holder of US government bonds, and Washington has been propping up the yen partly so that Japan does not have to sell them.

Crypto and TradFi contagion27 Aughigh

The index rule that could break Saylor's machine

Index membership is part of the plumbing that lets companies that exist mainly to hold digital coins keep issuing shares to buy more coins, and it is now formally in question.

MSCI, the firm whose stock indexes determine what trillions of dollars of passive funds must own, is consulting on a rule that would exclude any company it judges to be primarily accumulating assets rather than running a business. Applied as of May, it would have removed Strategy Inc., Japan's Metaplanet and the uranium holder Yellow Cake (Bloomberg). MSCI abandoned a narrower crypto-exclusion plan in January and came back with a broader test that catches the same companies without mentioning bitcoin. The reason index membership matters here is that it is a load-bearing part of the financing structure, not a badge. Passive funds must own an index member. That automatic demand helps hold the share price above the value of the coins the company holds. A premium to the value of the underlying coins is what makes issuing new shares profitable: sell stock at 1.5 times the coins per share, buy coins, and coins per share rises. Take away the passive buying and the premium compresses; compress the premium and the issuance machine stops; stop the machine and the company is a fund holding coins with borrowed money, with more than $60bn of purchases to service. The prices are pointing the other way. Strategy rose 11.7% on Thursday and is up 40.9% in twenty days, at its high for our window. SharpLink is up 38.9% and Bitmine 45.0%, both at highs, with bitcoin up 23.9% over the same period. So the market is trading the coin, not the structure, even as the FT counts the combined value of the fifty largest bitcoin treasury companies falling from $150bn in July 2025 to $67bn, with 43 of the 50 below their pre-pivot share price (FT). Both things can be true. A rally does not repair a financing model; it postpones the test.

The dollar, gold and reserve status27 Aughigh

Gold and bitcoin are both rising while the dollar sits still

Investors are hedging against government-issued money in general without buying any other country's currency, which is a judgment about every major government's finances, not just America's.

Gold and bitcoin funds took in a record $7bn over five trading days: $3.4bn into SPDR Gold Shares and $1.5bn into iShares Bitcoin Trust, both in the top ten US funds by weekly inflow (Bloomberg). Gold is at $4,660, up 15.1% in twenty days. Silver is up 16.8%. Bitcoin is up 23.9%. Now look at the dollar. The dollar index, which tracks the dollar against a basket of other currencies, is at 99.16, down 0.65% over the same twenty days. The euro fund is up 1.1%, the yen fund is down 0.1%. The broad trade-weighted dollar is off 2.2%. That combination is the interesting part. If this were a currency trade you would expect money leaving the dollar to arrive somewhere, in euros, in yen. It is not really arriving anywhere. Buyers are moving into things that no government can print, and they are not doing it because they prefer the fiscal position of Japan or the euro area. They are doing it because they think every large government has the same problem, which is why gold and bitcoin, historically inconsistent partners, are now rising together. The immediate cause is domestic policy. Bessent's plan to at least double the Treasury Department's buybacks of government IOUs that do not come due for twenty or thirty years, and the reported possibility of funding them from the roughly $954bn the government holds in its own checking account rather than through new borrowing, reads to a lot of investors as a government trying to hold down the price of its own money (Bloomberg opinion). Worth noting what this is not: the interest rate the government pays to borrow for ten years is back at 4.64%, down from 4.73% a week ago, and short-term rates are calm. The rush into things governments cannot print is running while the bond market has settled. That looks less like a panic hedge and more like a deliberate reallocation, which is the slower and more durable kind.

Private credit and BDCs27 Augmedium

The managers are up; their loans are not

Rising failures to pay in private lending funds hurt fund investors, not fund managers, until investors start pulling their money out and shrinking the fee base. That is the signal to watch.

Blue Owl's fund reported a failure-to-pay rate of 2.8% in the second quarter, the highest in at least five years. Funds run by Ares, Blackstone, Blue Owl and Golub all reported loan failure rates at their highest since 2021. At BCRED, Blackstone's big fund sold directly to investors rather than traded on an exchange, loans the lender has stopped counting the interest on (because it stopped arriving) jumped from 0.6% to 2.4% of cost between the first and second quarters, driven by two names: Medallia and Affordable Care International. This comes from a web sweep of secondary reporting rather than a single paper of record, so treat the individual figures as indicative (sweep). The share prices of the firms doing the lending have gone the other way. Blue Owl's stock is up 21.0% in twenty days, Ares Management 15.4%, FS KKR 15.3%, Apollo 11.9%, Blackstone 13.4%. This is not as contradictory as it looks, and the reason is the most useful thing to understand about this industry. The managers do not own most of the credit risk. They earn management and incentive fees on the money they oversee. A loan going bad hits the fund's value, which is borne by the fund's investors: the shareholders of the fund itself, the pension schemes, the retail buyers of funds that are hard to get out of. The manager's earnings only fall when the money itself leaves. Which is why the number to watch is not the failure rate but the flows. Redemption requests at private lending funds sold to individuals averaged 14% of the fund's value in the second quarter against normal quarterly limits of 5%, with managers using gates (rules that cap how much money can leave at once). Gates protect the fund and the fee base in the short run. They also tell every remaining investor exactly how easy it is to get out. Losses hit fund investors first; the managers only re-rate when the money stops arriving.

The AI capex bubble27 Aughigh

Nvidia is now committed at both ends of the chain

The vendor at the centre of the AI build has now written large obligations to its suppliers and its customers simultaneously, so a demand shortfall hits it from two directions at once.

Nvidia told investors on Wednesday that its commitments to suppliers — mostly for high-bandwidth memory — reached $279bn in the quarter to July 26th, up from $119bn three months earlier (WSJ). That is $160bn of new promises to pay, made in ninety days. A purchase commitment is not debt, but it behaves like one in a downturn. It is a contractual obligation to buy components at agreed volumes. In a boom it is a weapon: it corners scarce memory supply and locks rivals out. Nvidia's guidance assumes it works — 70% revenue growth in the fiscal year ending January 2028, with gross margin falling from about 74% to 71.5% because memory now costs more. Jensen Huang's framing is that supply, not demand, is the constraint. The other end is the customer. Nvidia's own CFO commentary describes guarantees capped at $105bn supporting land, power and shell buildout for roughly 4.25GW in Ohio, leased to OpenAI for twenty years, phasing in from fiscal 2029, with an option on credit support for a further 3.8GW. So the same balance sheet has promised to buy components and promised to stand behind a tenant's rent. What has to stay true: end demand for compute grows fast enough to absorb both. The WSJ reaches for Cisco in 2001, which is the right comparison — supply commitments that were a strategic advantage became a write-off when orders stopped. The market disagrees today: Nvidia rose 7.2% and sits 0.2% off its high.

What would change our mind

The specific, observable things that would move the number - in either direction.

A hyperscaler or AI-infrastructure bond deal pulled, or the extra cost of issuing AI-linked debt widening well beyond the 0.55 percentage point premium JPMorgan quotes. That would turn an orderly repricing into a closed window.

Would move the number

A subprime auto deal (loans bundled together and sold to investors) failing to find buyers, or an outstanding deal tripping its cumulative-loss trigger and diverting cash from the riskiest slice. That would convert a delinquency statistic into a funding event.

Would move the number

Evidence that prime brokers have raised the cushion they require on AI-correlated hedge fund books after the Situational Awareness subpoenas. Quiet forced selling is what turns a stock drawdown into a cascading one.

Would move the number

A bitcoin treasury company restarting share sales into the market, or conversely another round of coin sales. Either would tell us whether the 40% rally has restored the model or merely paused the selling.

Would move the number