Speaker · Updated
Ed Zitron: latest market views
EZPR
Summary
Ed Zitron is the CEO of the tech PR firm EZPR, host of the Better Offline podcast, and author of the Where's Your Ed At newsletter, known as a prominent critic of the generative AI boom and its economics.
Chorus has 44 views from Ed Zitron across 2 episodes on Prof G Markets and Monetary Matters since October 1, 2026. Their latest calls: bearish on Anthropic, NVIDIA, Arm Holdings and Blue Owl Capital.
Where they stand
Their latest bullish or bearish call on each company.
- AnthropicBearish ·
- NVIDIABearish ·
- Arm HoldingsBearish ·
- Blue Owl CapitalBearish ·
- BroadcomBearish ·
- CoreWeaveBearish ·
- Meta PlatformsBearish ·
- OpenAIBearish ·
- OracleBearish ·
- SoftBank GroupBearish ·
What they talk about most
The latest views
Newest first. Every quote is checked against the episode's transcript.
NVIDIABearish
Nvidia is channel stuffing by forcing early rack deliveries, inflating revenue and driving up memory costs.
Business Insider reported that Amazon's arrangement for paying for Nvidia racks changed. Previously Amazon paid when racks were about to be installed, but an 'early rack receipt program' started, so Amazon had to take racks it had no foreseeable path to installing. Amazon was reportedly receiving about $3 billion of deliveries every month. Zitron reads this as Nvidia pressuring customers to take chips early, or lose allocation (the 'Jensen jail' dynamic), to pump its earnings. He also cites ballooning receivables, with five customers making up 70% of them, and says the scarcity claim doesn't hold when hyperscalers have hundreds of billions of GPUs they can't install. He argues the stockpiling bids up RAM and high-bandwidth memory, raising consumer electronics prices. He concedes the story doesn't prove it, saying 'even if you don't agree with me on the channel stuffing', the overbuild is a sign of trouble.
“I think NVIDIA is channel stuffing to pump its earnings. That's a bad sign for NVIDIA.”at 9:28
Prof G Markets: Is Nvidia Selling More Chips Than Anyone Can Use? ·
AI infrastructure & data centers
Hyperscalers are overloaded with unused GPU assets and investors will eventually force a capex pullback.
Zitron says hyperscalers are holding large amounts of chips and construction-in-progress assets that aren't installed. He cites about $374 billion of construction in progress across CoreWeave, SpaceX, Amazon and Google, and a Microsoft capacity gap (about 2 GW of AI capacity versus roughly 12 GW total). He argues these companies don't disclose capacity and that their power and construction delays hide the fact that they don't have much installed. He thinks this is a sign the AI build-out is close to bursting. Investors will eventually ask why companies keep buying GPUs they can't use, and demand that capex be cut. He says capex is the key variable: flat capex is a problem, and higher capex is a bigger one. Without hyperscaler spending, no one is big enough to fill the gap.
“And at some point, investors are gonna turn on them and start demanding they pull back on CapEx.”at 17:53
Prof G Markets: Is Nvidia Selling More Chips Than Anyone Can Use? ·
AnthropicBearish
Anthropic's economics are weak and its debt should be junk-rated; its IPO should be near $1.5 trillion, not $2 trillion.
Citing the Wall Street Journal's report on Anthropic's S-1, Zitron says Anthropic lost heavily in the first half of the year, with large losses on a net and cash basis. It has about $413 billion of non-cancellable commitments, and he argues that growth can't fix the business. He says revenue growth is slowing and the run-rate figure is plateauing, and that Anthropic is pushing into drug discovery because it is running out of coding revenue. Ramp data show 80% of revenue comes from 1% of customers, mostly unprofitable venture-funded AI startups. He says Anthropic is a load-bearing part of the AI trade (70% of compute spend is Anthropic and OpenAI), and that these companies aren't economically viable unless you squint. He predicts a public valuation of about $1.5 trillion, not $2 trillion. The transcript's '$1.05' appears to be a transcription error for $1.5 trillion, given his earlier 'one five' versus 'two' comparison.
“I think that they should get rated CCC by Moody's and S and P. They are junk, junk, junk.”at 23:21
Prof G Markets: Is Nvidia Selling More Chips Than Anyone Can Use? ·
AnthropicBearish
Anthropic was in worse financial shape than OpenAI in 2025, spending $2.75 per dollar of revenue.
Zitron ran the numbers from Anthropic's leaked S-1 for 2025: Anthropic lost about $8B on about $4.6B of revenue, spending $2.75 to make each dollar versus OpenAI's roughly $2.60 on his own reporting. He says the 'more profitable, more sustainable, more stable' narrative about Anthropic was the opposite of the 2025 reality. He also disputes the 2026 profitability claims: they are on an adjusted basis, so the company is not actually profitable. He speculates the Q2 turn was likely driven by Elon Musk discounting compute, a cost reduction he calls one of the most aggressive in history. He doubts a profitable AI lab is possible at all, and says 2026 numbers must be dramatically better or the company is in distress.
“Anthropic, at least in 2025, was a worst business in OpenAI... Spent $2.75 to make a dollar, and OpenAI did $2.60”at 0:48
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
AnthropicBearish
Nearly half of Anthropic's revenue flows through Google and Amazon resale, a dangerous concentration risk.
Per the S-1 disclosure reported by Reuters, about 47% of Anthropic's revenue came from Google and Amazon reselling its models. Zitron calls this a worrying concentration risk because Amazon also funds and sells models to OpenAI, and Google sells its own Gemini and provides compute to OpenAI. The result is that Anthropic's largest customers by proxy are also its competitors. Its success therefore depends on those partners' willingness to sell its tokens, and they can discount or resell them however they choose. He says the narrative that Anthropic was less concentrated than OpenAI was the reverse of the reality, and that the 2026 numbers will show whether the concentration has worsened.
“about 47% of Anthropic's revenue came through sales from Google and Amazon reselling their models, which is a worrying concentration risk”at 1:07
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
AnthropicBearish
Anthropic's IPO is questionable; the numbers are poor and retail investors may lose hundreds of millions.
Zitron argues the S-1 numbers are bad: 2025 losses, adjusted-basis profitability claims, and very large non-cancelable obligations. He thinks the IPO should not be happening unless 2026 numbers are dramatically better. He calls it peculiar that the most important IPO of the year has been delayed repeatedly, with target dates slipping from August through September to October and November. He suspects the numbers did not look good to investors. He says the only reason it is allowed to proceed is free-market rationale that helps retail investors lose money.
“Like, this is not a good business. And unless their 2026 numbers are dramatically different, I gotta ask, like, why are they even being allowed to go public?”at 8:34
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
AnthropicBearish
Anthropic's $400B+ non-cancelable compute commitments are a terrifying counterparty risk for it and its hyperscaler partners.
Zitron cites the S-1 with about $518B of total compute commitments, of which $413B is non-cancelable. That includes $252B across Microsoft, Google and Amazon and $161.2B in Broadcom TPU lease obligations. He compares this with quarterly revenue of about $11.5B and says the distance between these numbers is severe. He says Google, Amazon and Microsoft have these contracts in their analyst expectations, so unpaid obligations would force sharp cuts to their future revenue guidance. Even if Anthropic were profitable, he argues it cannot pay these costs from revenue or cash flow, so it would have to borrow, perhaps $50–100B a year in high yield, and one bad quarter could collapse the business. He also cites Dario Amodei's comment that misjudging compute purchases would make him bankrupt.
“Anthropic has over $400,000,000,000 worth of noncancelable compute agreements... That alone is absolutely terrifying.”at 9:58
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
BroadcomBearish
Broadcom is a risky AI chip play, reliant on three customers and increasingly financed with debt.
Zitron says a large chunk of Broadcom's revenue is now AI chips, mostly sold to three companies: Google for TPUs, which are mostly rented to Anthropic, Anthropic itself, and OpenAI with its custom chip, plus Meta's MTIA chip. Unlike Nvidia's equity investments, Broadcom is taking on debt, including a $35B private credit package in which Apollo and Blackstone are maybe involved. He says Broadcom also financed some chips for OpenAI. He points to debt from its 2023 VMware acquisition, a story that it would raise $60–100B more, and VMware growth that is petering out. He concludes Broadcom is playing a risky game and is a 'real dog of a company'.
“So Broadcom is a real dog of a company too... Most of those are being sold to three companies.”at 15:55
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
NVIDIANeutral
Nvidia's equity-style investments in AI buildout are less risky than Broadcom's debt-financed approach.
Zitron says Nvidia is 'a little smarter' than Broadcom in financing the AI buildout. Nvidia classically makes equity investments in customers such as xAI (SpaceX), Lancium, Stargate Abilene and CoreWeave, which then raise money to buy its GPUs. Nvidia puts real money in, but it is not a liability on its balance sheet. He acknowledges there may be some future risk to net income, but says it is nowhere near as bad as taking on $35B of debt.
“NVIDIA is by comparison actually being a little smarter because NVIDIA classically does equity investments”at 16:41
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
OpenAIBearish
OpenAI's $70B run-rate claim is inflated; he expects about $36B of revenue this year.
Zitron says the reported jump in OpenAI's run rate to $70B, up from $40B a month earlier, is suspicious because it is undefined. He thinks the company is annualizing a non-recurring item, most likely API usage, which is not recurring like subscriptions. People are meant to read the number as expected revenue, but he forecasts about $36B of revenue for OpenAI this year. He also argues OpenAI's accounting is opaque: it does not count Microsoft-driven revenue as its own, and the Microsoft revenue-share payments are small. Zitron concludes that these run-rate figures are useless and that only audited numbers should count.
“a 30,000,000,000 jump in run rate in a single month makes me very suspicious... It won't. It's gonna be 36,000,000,000 for this year for OpenAI, I think.”at 19:11
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
AnthropicBearish
Anthropic's annualized revenue growth is leveling off as enterprise token spending gets pulled back.
Zitron agrees with a ranking-site chart showing Anthropic's annualized run rate levelling off while OpenAI keeps growing, though still behind. He explains it with a 'token-maxing' phase in the first half of the year. Anthropic switched customers to token-based billing in Q1, and CEOs told staff to spend as much as they liked. Then they saw the bills and pulled back, bit by bit. Large contracts with minimum spends have delayed the visible drop, but he expects the slowdown to show through.
“They've shown Anthropix ARR, annualized run rate, Jesus Christ, kind of leveling out and OpenAI is growing, but still behind them.”at 23:27
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
AnthropicBearish
Anthropic's reported run-rate figures are deceptive compared with its actual quarterly revenue.
Zitron compares Anthropic's Q2 annualized run rate of about $48B with the $11.5B of revenue it actually booked in the quarter, calling them 'almost completely different numbers.' Q1 revenue was $4.8B, so revenue did roughly double, but annualized revenue rose from about $8–9B at the start of the year to $48B. He says run rate is undefined, so companies can annualize a single high month or a large contract. He suggests Anthropic may be counting a $10M minimum-spend contract as $10M times 12 or 13 instead of spreading it over the contract term. He argues the numbers are deceptive and calls for SEC regulation of private-company revenue disclosure.
“Q2 Anthropic was at 48,000,000,000 annualized run rate, They made 11,500,000,000 in revenue. Those are two very, very different numbers”at 24:39
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Markets look bleak, with the S&P 500 too heavily weighted toward big tech and weak cash flows elsewhere.
Zitron says the broader financial markets are in 'dog shit season' and look very bleak. He argues the S&P 500 is too weighted toward large tech companies, while the rest of the index lacks the cash flows to justify its prices. He links the cynicism to the delays in the Anthropic IPO and the wider concerns about AI profitability.
“The S and P 500 is way too weighed on the big tech companies, the rest of the S and P 500, the cash flows aren't there.”at 27:29
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
AnthropicBearish
Anthropic's doom-style safety warnings in its S-1 are a marketing liability that is hurting its IPO story.
Zitron says the AI-safety and doom narrative was a useful marketing mechanism for years, pushed by Sam Altman and Dario Amodei, but it got out of control and became a liability. Now the S-1 must include risk factors saying the product 'might kill people.' On its own this would not matter, but he argues it adds to the other problems in an already unprofitable business. He says the company has 'blinked' and cannot easily shake these stories. He suggests the CFO should have asked whether the warnings belonged in the filing.
“that narrative got out of control that is only making things worse”at 29:38
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Meta PlatformsBearish
Meta's Muse agent is costly to run and has no clear revenue model.
Zitron says Muse delivers the agent promises made three years ago, such as booking appointments and running websites, but at a very high cost. Each user gets a virtual machine with 8GB of RAM on top of large language models, which is a massive infrastructure burden. He grants that it has some utility, such as finding a delivery store, but asks where the revenue model is. Proposed transaction fees would be shreds of revenue on a very high-volume, opex-heavy business, and subscriptions compete with OpenAI's $20–$500 plans. He also flags privacy harms from the agent, such as personal data being exposed.
“at what is very clearly an obscene cost. You've got a little virtual machine with eight gigabytes of RAM for each person using this.”at 33:10
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Market sentiment, positioning & volatility
Markets are driven by AI narratives and ghost stories, disconnected from fundamentals.
Ed says markets move on vague AI narratives rather than fundamentals. Examples include the Citrini global intelligence crisis report, PayPal and Mastercard selling off because agents would replace commerce, and a Matt Schumer post that overstated a model's capabilities. He thinks no one really knows what is going on, so everything is marketing-driven, and that someone could manipulate the market this way. When the real bad news on AI arrives, he expects it to be tangible and impossible to narrate away, as with Oracle's power problems.
“I think it's part of a broader problem that the markets are no longer connected to reality.”at 38:36
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Meta PlatformsBearish
Meta's stock rally on its Muse AI product is insane since the product generates negative revenue.
Ed says Meta's stock skyrocketing on Muse is insane. He argues that whatever one thinks of the product it is generating negative revenue and has become a massive infrastructure burden, and he asks where the money will come from. In his view, markets are rewarding a product narrative that does not yet support the valuation.
“off of Muse is insane. However you may feel about the product, it's generating negative revenue.”at 38:49
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Regional bank selloff over AI agents moving deposits is baseless and unexplained.
Ed calls the bank selloff on the thesis that people will use AI agents to reallocate their capital a little silly. He says most people have one checking account and no brokerage, so an agent cannot easily move money into Treasuries or CDs. Jack cites a regional bank with an average account of $3,000, where moving from 1% to 4% barely matters, and banks would not let an LLM access accounts for regulatory and liability reasons. Ed says no one can explain how the reallocation would happen, so the selloff reflects a narrative rather than a measurable risk.
“But the idea that banks are selling off because of the off chance that people use agents to do something that no one can really explain what it is.”at 39:06
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Inflation is broad price gouging that rate hikes cannot control; regulators must use price-gouging laws.
Ed points to rising costs: his mortgage is around 8%, basic loans and goods are more expensive than ever, and inflation has been everywhere for years. He argues it is not being controlled by rate hikes and is a result of price gouging across the board. He thinks the media has failed to report this, and that the only real tool is financial regulation and enforcing existing price-gouging laws, not the Fed.
“When inflation is everywhere and has been for years and is not being controlled by rate hikes at this point. Inflation is a result of price gouging across the board.”at 42:40
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Consumer AI agents lack an iPhone-level moment; they won't become essential to everyday life.
Ed argues consumer AI has not offered a clear reason to depend on it. He tested an agent for restaurants and got poor results, and says the real problem with reservations is automated bots, not reservation tools. Flights and wedding cakes are high-touch decisions that need human input. Muse is a nicer chat interface, but there is no single product that makes consumers say this is essential to their life, and a few bad incidents could push people away.
“But where does that turn into something that makes a consumer go, this is essential to my life.”at 47:22
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
CoreWeaveBearish
CoreWeave's roughly $7B of bonds would reprice near 13%, and its debt-funded model looks unsustainable.
Ed estimates CoreWeave's roughly $7B of straight bonds issued in 2025-26, carrying about 9%, would cost about 13% if repriced at current spreads and the selloff, possibly higher. He calls CoreWeave's claim that its finance costs are falling a lie. He says the company has raised through leveraged loans, bonds, convertibles, at-the-market equity and a sale to Nvidia, which looks like a company raising to stay ahead of its bills. He cites an analyst estimate that CoreWeave must raise about $100B over four years. Delays in bringing data centers online (he says the London project is cancelled) let interest build before customers pay. Its customers include Microsoft, Meta, OpenAI, Anthropic and Jane Street, and he doubts OpenAI and Anthropic will pay on time.
“If you reprice them, all of that debt, which is still around nine points at the time, you're looking at 13%.”at 53:29
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
OracleBearish
Oracle's bonds already price like junk and a downgrade would force forced selling by funds.
Ed says Oracle is dangerously close to a downgrade, sitting one notch above junk. A downgrade would force pension and investment funds that cannot hold junk to sell, pushing its borrowing costs up. He says Oracle already trades like junk: short-dated bonds would yield about 7.1-7.5% and long-dated ones about 8.1-8.3%, and a New Mexico data center debt sits at 89-91 cents on the dollar after a force majeure notice. He adds that Oracle still needs to borrow, must refinance cheap 2020 debt at 2.8% in April at far higher rates, and that its stock rallied on an OpenAI run-rate headline despite power problems at its Port Washington data center.
“And let's be clear about something. Oracle is already pricing like junk.”at 55:17
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Meta PlatformsBearish
Meta's off-balance-sheet Hyperion data center financing trades at 89 cents and is a warning for the sector.
Ed describes Project Beignet Investor, the Hyperion data center for Meta, as a variable interest entity. Meta owns about 20% of it, so the debt stays off Meta's balance sheet even though Meta builds, funds, equips and exclusively uses the site. The deal is one of the better ones yet trades at 89 cents on the dollar. Ed concludes that every data center project raising money from here will need 8%, 9%, 12% or 13% money, which becomes untenable at some point.
“That's one of the better deals and that's selling at 89¢ on the dollar. So basically every data center project that is raising from here... will be raising minimum at 8, maybe 9, maybe 12, maybe 13.”at 56:09
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Rising 10-year Treasury yields near 5.3% make AI data center debt increasingly unaffordable.
Ed says Treasury rates are only getting worse. Ten-year yields at 5.3% are already an insane base for data center debt, which must clear that rate plus a risk premium. Even if the yield falls a bit, a rate base this high raises the cost of every new data center financing, and interest rates keep going up, adding to the wall the sector will hit.
“And the Treasury rates are only getting worse... this is bad, but it's also 5.3% on ten years.”at 56:27
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
OpenAIBearish
OpenAI likely won't pay its CoreWeave bills, and its compute spending depends on endless venture funding.
Ed says the CoreWeave debt problem is not just whether customers pay. He thinks OpenAI doesn't pay and expects delays to build interest before payment. OpenAI and Anthropic account for about 80% of data center demand, and CoreWeave has 360-day payment terms with OpenAI. He says OpenAI is projected to spend $750B on compute through 2030, which must come from venture capital that has put $800B into AI since 2023, or from Nvidia or SoftBank, which cannot keep funding rounds. Its revenue growth also raises costs, so it is a cash flow problem.
“So it won't be our customers don't pay, though I think OpenAI doesn't pay, and I don't think Anthropic pays.”at 59:16
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
AnthropicBearish
Anthropic likely won't pay its data center bills, and it needs cash it cannot easily raise.
Ed says he doubts Anthropic pays its data center bills on time, which slows CoreWeave's collections and adds interest. OpenAI and Anthropic make up about 80% of data center demand, and their ability to pay depends on venture-backed customers that lose money and need ongoing venture funding. He also expects Anthropic, once public, to need debt that is priced like junk, with huge issuance every year, and he thinks one of the AI labs could collapse.
“So it won't be our customers don't pay, though I think OpenAI doesn't pay, and I don't think Anthropic pays.”at 59:16
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Goldman Sachs and Japanese banks are exposed in nearly every data center deal and share the blame.
Ed says the people to blame for the data center debt build-out are the private credit funds and the banks that finance them, naming Goldman Sachs, Sumitomo, Mitsubishi UFJ and SMBC. He says they are in basically every data center deal and keep enabling large borrowers. He notes he has heard the two Japanese banks are selling off the risk, and says Goldman and Morgan Stanley are in a lot of these deals, so the risk is everywhere.
“the people to blame for this are the private credit funds, and they are the Goldman Sachs', the Japanese banks, Sumitomo and Mitsubishi, MUFJ, SMBC. They are in basically every data center deal.”at 1:01:51
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Blue Owl CapitalBearish
Blue Owl's private credit lending to data centers is poorly collateralized and at risk of not being repaid.
Ed says Blue Owl is in pretty much every Oracle Stargate data center and in multiple CoreWeave projects. He expects most private credit debt tied to these projects will not be repaid if the data centers are delayed or fail. He argues private credit is not collateralized well enough to withstand that, and singles out Blue Owl. He also cites a report that Blue Owl took fifteen minutes to decide to invest in Stargate Abilene, which he takes as evidence that lenders have not thought hard about the risk.
“In fact, I think most of the private credit debt doesn't get paid here. And I don't think private credit is collateralized well enough to weather that, especially not BlueOwl.”at 1:03:21
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
Private credit is already a brewing crisis, having lent heavily into volatile, low-margin data center projects.
Ed argues private credit has invested heavily in some of the most volatile and difficult-to-complete projects in the world, which also have poor margins. Data centers do not print money when switched on. He says the risk could give private credit its own financial crisis, and points to reporting from Nick Nemeth and the Financial Times as the best coverage of the risk, which he says the broader market has not absorbed.
“But this private credit is already a brewing crisis, and private credit has invested heavily in what I would describe as some of the most volatile and difficult to complete projects in the world, which also have piss poor margins.”at 1:04:59
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
SoftBank GroupBearish
SoftBank literally can't keep funding AI rounds, and its near-10% financing looks unsustainable.
Ed says the AI build-out depends on venture capital, Nvidia and SoftBank for funding. Nvidia cannot afford too many rounds, and SoftBank literally can't. He notes SoftBank just raised about $11B at a rate barely below 10%, and asks how any of this works. He also refers to Masayoshi Son's routine of borrowing more to pay off debt, which he sees as a failing model.
“Or from companies that like NVIDIA that really can't afford to do too many rounds of SoftBank who literally can't.”at 1:06:30
Monetary Matters: Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk ·
14 older views from Ed Zitron are on the episode pages, and all of them are a question away in your AI with Chorus.
Shows
- Prof G Markets · 1 episode
- Monetary Matters · 1 episode
Ask your AI what Ed Zitron thinks
Chorus gives Claude, ChatGPT and other assistants every view Ed Zitron has shared on the shows it covers, next to everyone else's. Ask where they stand, what changed, and who disagrees.
Chorus reports what speakers said. It isn't investment advice.