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Anthropic's Q3 Results Are In — The Costs Are Exploding

John Foley, Deirdre Bosa and Mark Zandi assess AI’s costly build-out, the tech sell-off and an economy split between stockholders and workers.

Prof G Markets · Ed Elson

The best minutes

  1. 7:01Anthropic’s enterprise growth may not cover its funding needs6 min

Also worth watching

  1. 2:35Anthropic’s revenue forecasts are difficult to underwrite3 min

Skip the opening promo clips and market recap, the sponsor reads, and Deirdre Bosa’s show-launch announcement.

Full analysis · 6 min read

Real Alpha · Nov 7

John Foley says Anthropic's $895 billion bill clouds its IPO

  • Anthropic disclosed $895 billion in compute commitments, with nearly $70 billion due within 12 months.
  • Foley says extreme growth and rising costs make its revenue and profit path difficult to underwrite.
  • But enterprise sales may help cover spending, though whether they can remains unresolved.

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6 sections, the 5 other voices it tests Foley against, and what it means for you. Every episode we cut gets one.

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2:47

Anthropic's commitments outrun its near-term revenue base

Host Ed Elson said Anthropic disclosed $895 billion in compute and data-center commitments. Nearly $70 billion is due within 12 months, more than its current annualized revenue.

That total spans several years, so it is not a one-year expense forecast. But payments due within 12 months arrive before the 2028 target. Foley said Anthropic had been guiding, as he had heard, to about $200 billion in 2028.

For example, nearly $70 billion due within 12 months cannot be funded by a forecast alone. Paul Kedrosky, on Prof G Markets in October 2026, said most commitments were future and non-cancellable.

The episode does not provide a full annual schedule or cancellation breakdown. So the $895 billion headline cannot, by itself, show when cash leaves or which obligations can change.

That distinction matters for runway and for judging how much fresh financing the business needs before revenue catches up.

“900 billion dollars i mean sounds enormous”
2:52

Our read

The $895 billion headline is not an expense schedule. The central exposure is when commitments become payable and whether revenue can cover them.

3:14

Foley says the 2028 target resists reliable underwriting

Elson reported Q3 revenue of $17 billion, up 12-fold year over year. He said sequential growth fell to 47% from 144%.

Foley called those growth rates unhelpful for extrapolation. He said forecasting next year's growth from them is difficult to do with confidence.

Foley said, as he had heard, Anthropic was guiding to about $200 billion in 2028 revenue. That is a forecast, not realized sales.

Prices are another variable. Elson said prices appeared to be coming down, while Foley said discounts were maybe like 3% of revenue. He called the price war a big risk.

The filing also raises a safety-related brake if AI progress reaches a defined threshold. Foley said its effect on revenue was impossible to know at this point.

Gavin Ezekowitz, BFA Global Investors co-founder and chief investment officer, told How I Invest in October 2026 that projections are imperfect. He emphasized near-term milestones, a useful test here that does not resolve Anthropic's trajectory.

“extrapolating exactly how much growth we're going to see next year is really, I mean, I think it's a fool's errand”
3:14

Our read

The 2028 figure is a scenario to test, not a dependable planning assumption. Price competition and a possible safety slowdown remain open risks, with no basis here to rank them.

9:08

Compute costs are rising faster than reported revenue

Elson said Q3 compute costs rose almost 80% sequentially, while revenue grew something like 47% or 48%. That is an adverse comparison for the quarter, not a full margin calculation.

Quarterly growth rates reveal pace, not how compute spending maps into each revenue dollar. The episode does not break down how training and serving costs contribute to that gap.

That missing bridge matters because Anthropic's disclosed commitments extend beyond its current costs. A rising revenue line alone does not show whether the next dollar of sales will require less compute.

Dan Primack's October 26 Big Technology Podcast account described revenue per compute dollar rising substantially. Steve Eisman, on Prof G Markets on October 28, said that measure had fallen after token maxing ended, alongside slower sequential growth.

Those reports point in different directions. Neither establishes a stable future unit-economics trend, so current efficiency should not be treated as settled.

Our read

The cost-growth comparison is the immediate warning, while other episodes describe changing efficiency in both directions. The materials do not establish a durable margin trajectory.

7:28

Enterprise sales offer an advantage, not proof of returns

Foley says rapid enterprise growth is going in Anthropic's favor. Companies can pay more than consumers and tend to be stickier, he said, though the available pool is finite.

That makes customer-level value central. Foley said Anthropic is leaning on the idea that its products deliver a measurable advantage unavailable elsewhere. Usage alone does not show that customers receive enough value to keep paying.

Take a larger contract. Chamath Palihapitiya, on All-In in October 2026, said moving from million-dollar to multi-million-dollar deals requires a more thoughtful pitch. The episode's summary notes those contracts still need a clear return-on-investment case.

A larger sale can support growth without proving profitable delivery. If the service requires rising compute to support each customer, sales expansion and attractive margins may not arrive together.

Our read

Enterprise is a commercial advantage, not evidence that customer revenue will cover the cost of serving it. Renewal, expansion, and customer return are the proof points.

11:13

Profit timing now depends on costly outside capital

Foley said Anthropic had achieved positive operating profit in the second quarter, he thinks, but had since swung back to a loss. He separated that measure from larger accounting losses tied to non-cash securities and derivatives.

Elson said Blackstone told investors to expect a high-junk rating, revising an earlier investment-grade expectation. Foley said Anthropic may lack investment-grade status, which would make borrowing more expensive and difficult.

Foley described debt, equity, or both as ways to fund a cash gap. But outside funding addresses liquidity, not whether the service can eventually generate enough cash to sustain itself.

That distinction matters because a company can raise money while its operating losses persist. And a higher cost of borrowing can make the time needed to reach self-sustaining cash flow more consequential.

The episode does not establish when operating profit will return. Foley said forecasting that date is especially difficult given the company's variable costs and uncertain growth.

“predicting when it gets to profit is also, again, really hard”
10:29

Our read

A financing round can extend runway without demonstrating profitable service economics. Credit quality matters because it affects the cost and difficulty of funding the gap.

12:47

IPO investors must price uncertainty, not just scarcity

Foley's point is not that Anthropic will fail. He said investors must decide whether its uncertain trajectory warrants the price, including the possibility that it becomes one of AI's winners.

Foley said a valuation in the ballpark under discussion would not be ridiculous if Anthropic reached $200 billion in 2028 revenue. That conditional depends on the same uncertain forecast investors are being asked to underwrite.

Elson estimated that an IPO raise close to $100 billion might not cover the company's needs for several years. Foley did not validate that estimate, but said funding costs should affect what investors are prepared to pay.

Dan Primack, on Big Technology Podcast in October 2026, said investors may still seek exposure to likely industry winners despite hard-to-judge future compute costs. That demand could support an offering without resolving the underlying economics.

Foley warned that investors might treat Anthropic as a scarcity play and overlook the risks. A scarce listing can attract buyers, but scarcity does not make future obligations easier to fund.

“it should all factor into the amount you're prepared to pay for the shares when it tells us what the price range is”
12:47

Our read

The filing supports a wide range of outcomes, not a precise valuation. Finance teams should scenario-test funding needs alongside revenue rather than treat one IPO raise as assured runway.

What it means for you

  1. Map payment dates. Ask for annual commitments, due dates, cancellation rights, and funding sources. Compare obligations with a downside revenue path, not only the 2028 target.
  2. Track compute economics. Measure compute-cost growth beside quarterly revenue growth. Separately track revenue per compute dollar, since the episode comparisons point in different directions.
  3. Test enterprise renewals. Separate signed customer expansions from broad demand statements. For larger deals, require a customer-level return case and track renewal behavior.
  4. Stress-test funding. Model an IPO raise, additional equity, and debt at a high-junk cost. Keep liquidity runway distinct from the date operating cash flow turns positive.

What to watch

  • Whether quarterly compute-cost growth continues to outpace quarterly revenue growth.
  • Whether Anthropic gives more detail on commitment timing and cancellation rights.
  • Whether the reported high-junk rating expectation affects fundraising terms or investor pricing.

Send this to CFOs and finance leaders underwriting AI infrastructure commitments.

2:30

Watch the minute where Elson gives Anthropic's $895 billion commitments figure

Written by Real Alpha from the episode's transcript and the other moments it links, then checked against the transcript. Quotes are the speaker's exact words.

Minute by minute

  1. 1:05Anthropic’s spending dwarfs today’s revenue

    Ed Elson says Anthropic reported $17 billion in revenue, 12-fold year-over-year growth, while quarter-over-quarter growth slowed to 47% from 144%. The company disclosed $895 billion in compute and data-center commitments, with nearly $70 billion due in the next 12 months. Foley says the company has discussed reaching about $200 billion in revenue in 2028, but says it is hard to know whether it will meet that target.

  2. 4:11Foley questions long-range revenue forecasts

    Foley says Anthropic’s discounts appear to account for about 3% of revenue, but competition and price pressure remain risks. He says a $1.4 trillion valuation would not look unreasonable if the company reached $200 billion in revenue, but argues that forecasting its growth is exceptionally difficult. He also points to uncertainty around safety measures if AI progress accelerates.

  3. 7:01Enterprise sales offer a stronger funding path

    After Elson raises Elon Musk’s comment that serving GrokBot costs too much relative to revenue, Foley says Anthropic has an advantage in selling to businesses, which can pay more and may be stickier than consumers. Consumer AI companies can charge subscriptions or sell advertising, he says, but those markets also have limits.

  4. 8:22Compute costs are growing faster

    Elson says Anthropic’s compute costs rose from about $3.4 billion in the first quarter of 2026 to $5.6 billion in the second and $9.9 billion in the third. He notes that compute costs rose almost 80% quarter over quarter, compared with revenue growth of about 47% to 48%.

  5. 9:56Profitability and credit remain uncertain

    Foley says Anthropic’s operating profit in the second quarter had turned back into a loss, while its accounting loss also includes a large non-cash charge. He says it is difficult to forecast when the company will become profitable and that it needs to prove it can sustain its cash flow. A high junk credit rating, as Blackstone reportedly expects, could make borrowing more expensive and should affect what investors are willing to pay.

Published Nov 3, 2026.

Transcript · 29 min read

Prof G Markets, hosted by Ed Elson, with John Foley, Deirdre Bosa and Mark Zandi.

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there. Where the podcast’s audio and the video part ways, some times are a minute or so off.

  1. market vitals. The Nasdaq declined as the tech sell-off deepened. More on that in a moment. Meanwhile, the S&P 500 was flat, and the Dow rose on hopes for peace talks with Iran. Brent crude tumbled more than 7%. The yield on 10-year treasuries declined. And finally, Apple shares climbed after posting earnings that beat revenue expectations in John Tarnas' first earnings call as CEO. Okay, what else is happening? Anthropix third quarter numbers just came out and they have complicated the company's IPO story. Revenue was $17 billion, a 12-fold increase year over year, but quarter over quarter growth slows to 47.

  2. down from 144% in the second quarter. And for the first time, Anthropic put a total on its spending commitments. $895 billion for computing power and data centers, and nearly $70 billion is due in the next 12 months. That is more than Anthropic's current annualized revenue. This comes after Blackstone told investors that they expect Anthropic to receive a high junk rating after its IPO. Until recently, Blackstone had expected the company to receive an investment grade rating, the tier that lenders consider safe. So a lot to get into here. Here to discuss Anthropic and everything we've learned in the past few days. We're speaking with John Foley, head of the Lex Column at the Financial Times. John, good to see you. I'd like to start with the amendment to the S-1, because that really seems like the big news. We had a revenue number which looks good year over year, but also we know that the growth slowed. We had kind of expected that. I think probably the bigger number that really warrants our attention is $895 billion over the next several years. That's the amount they're going to spend on compute. So we now know exactly what the bill is going to look like. What were some of your big takeaways from the

  3. John Foley · 3 min

    “my issue with this IPO from the beginning has been that it is almost impossible to predict with any certainty where these revenue numbers are going to go.”

Read the whole transcript
  1. basically SpaceXAI chatbot, their agent, that it wasn't working. And someone tweeted about this.

  2. And then Elon responded to that tweet. I'm just quoting Elon Musk here, quote, the cost of serving GrokBot was unsustainably high relative to revenue, which basically encapsulates the entire concern about all of this. I mean, about OpenAI, about SpaceX, XAI, and also about Anthropic. I mean, if Elon Musk is telling us that that is what's happening, that basically the cost of training these things and then running these things is larger than the revenue. And as a result, he's having to shut parts of it down or dramatically pull back, at least on spending, it seems. I mean, it makes me think that Anthropik's headed for the same scenario. And now that we've seen the $900 billion, and we don't have exact clarity on how that's going to play out, but we can assume, based on what we do know, that it's going to be something like $100 billion at least per year over the next several years.

  3. That's, by the way, very conservative, because we know that there is more than $400 billion in commitments that they're going to need to pay over the next four years. So it just makes me think that's probably where things are headed, but maybe Anthropic can turn

  4. John Foley · 6 min

    “not having an investment credit rating just makes that process more expensive”

  5. after the break a brutal sell-off in tech and for even more markets insights you can subscribe to my weekly newsletter simply put at edwardelson.substack.com support for the show comes from hems if there's a weight loss goal you keep chasing and never quite reaching you're not the only one weight loss by hems can help you finally close the gap with access to a range of FDA-approved GLP-1 medications, including the Wagovi pill and the Wagovi pen.

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  9. We're back with PropG Markets. Earnings from Alphabet, Amazon, and Microsoft flooded in last week, and investors were not happy with the results. Despite a pop after reporting, Microsoft ended the week down 2%, and Amazon and Alphabet closed down 4% and 11%, respectively. The sell-off spread to the rest of tech as well. The Nasdaq 100 is now off more than 10% from its peak early last month, putting it in correction territory. All in all, the biggest AI and chip stocks have lost about $5 trillion in market value over the past month. So why are tech investors selling? Here to break it down, we're speaking with Deirdre Bosa, founder and host of Deirdre Bosa Live.

  10. Deirdre, good to see you. So AI and chip stocks have lost about $5 trillion in market value since the beginning of October. This has been a pretty dreadful month and certainly week for practically every name in tech right now, even the companies that seem to report decent-ish earnings. I guess let's just start with your overall reaction. What is going on right now? It isn't like we haven't been here before. Earlier on in the generative AI cycle, markets have become anxious. They've started to think, OK, we are spending all of this money, hundreds of billions of dollars, trillions even on this AI buildout. But where is the return on investment, right? Like when is this AI spending going to pay off? And I think we're in another one of these moments. But at the same time, what's different this time than maybe what we saw a year ago or in the past is that the balance sheets of some of the healthiest, safest companies in the world are changing. So something that, you know, I look at and pay really close attention to is how much debt is being issued now, right? And this was sort of a neocloud thing that's been happening over the last few years. Neoclouds are, you know, the companies that are serving GPUs and

  11. AI infrastructure to other companies. But of course, you have the hyperscalers as well, right? which is Amazon, Google, and Microsoft, they have typically had essentially fortresses as balance sheets, right? They have a huge amount of free cash flow and they've been able to fund their build-out. But something has changed this year. They've actually been tapping debt markets more. So just to put this in perspective, this is total AI-linked debt issuance. Numbers come from Bank of America. In 2025, it was nearly $400 billion. This year, it's going to be about $655 billion. and next year's forecast is going to be $1 trillion.

  12. So this is just a huge change in how we're actually financing the build-out. It means that companies, not just the neoclouds, but some of our healthiest, biggest, safest companies are relying more on borrowing. So the timing matters more. This question of the payoff for all of the spending becomes all the more pressing because those debt payments, they are due whether or not the AI investments are paying off. So it leaves less room for mistakes, Ed, and it makes any kind of slowdown more painful. And something that you hear a ton of people in the industry say is that demand is enormous. We can't even satisfy the amount of demand we have and we're supply constrained.

  13. But I think what that misses is the whole timing of this. And when you involve borrowing and the debt markets, that becomes a lot trickier, riskier, and timing matters all the more. And it seems as though, I mean, just looking at some of these names and Google, negative free cash flow, Amazon, negative free cash flow, Meta, negative free cash flow. I mean, the only hyperscaler that isn't negative on a free cash flow basis right now is Microsoft. But even for Microsoft, the number is going down. I mean, who knows where we'll be next year. it seems as though the only way this works is if everyone goes out and raises a shit ton of money, essentially. That's the way it's going to work. And so if you have, you said a trillion dollars in debt issuance, you've already got rates rising, you've got yields rising seemingly across the board, you've got the S&P lowering its credit rating outlook for Meta, which just happened this month. I mean, can they even raise that much? Is that becoming sort of the question at this point? I mean, that is, it's an interesting question, right? Because you look at the bottlenecks in AI and you think about power, right? That is a constraint. Chips are a constraint, but capital

  14. is increasingly a constraint when you're trying to fund this enormous build-up. And you're right that only Microsoft has said. that it can sell fund next year at the same time. Last week, it priced in $25 billion of bonds. So even sort of the companies that have been holding out and saying that we're going to fund all of this ourselves are tapping debt markets. And you're right, when you bring in rising interest rates, this makes this all the more trickier. And I want to bring up something that people here talk about. It's this cone of uncertainty, right? It's very relevant when you think about the build out and when it's going to pay off. So you have to commit the money now, even though the further out you look, the less certain you are about demand, costs, and those returns. Borrowing really adds fixed payments to that uncertain future. And at the same time, Ed, when you talk about the companies that reported last week, their core businesses are slowing. So I don't want to say that this is just a debt and borrowing story that makes everything more urgent, but the core businesses you saw from Alphabet, right? A few years ago, we were talking about Alphabet cannibalizing itself, but it had AI overviews. It was going to figure out this

  15. advertising piece. That actually hasn't happened yet. When you take a look at Amazon, it wants to be seen as sort of this AI company. But again, its core business isn't as healthy as investors would like it to look to say, OK, you can spend all of this money on the AI build out. So I think that that is also playing out. And that's what the market is looking at. That's why you're seeing these huge declines because investors are focused on the core businesses. But I will also give you the counterpoint. Do you want me to do that now? The counterpoint is just as interesting. There's this chart that I posted from the Financial Times and it pulls on, you know, other data sources, but it shows that this free cash flow squeeze shows that it's actually supposed to be temporary. So you can see that the hyperscalers, we'll talk about them for a moment, Amazon, Microsoft and Google, the hyperscalers that are spending the most on this buildout are eating into their free cash flow. As you mentioned, Ed, some of them is going to go negative. But by 2030, that is all supposed to come back. This is Wall Street consensus estimate. This is not my estimate.

  16. Wall Street actually expects that Google, Amazon, Meta, and Microsoft are going to be generating more than $600 billion in combined free cash flow by 2030. So if you believe those numbers, This is like an insane buying opportunity. Yeah, and this seems to be part of the crazy thing about this moment in time. is that everything, the entire market is, and your expectations around this market are based on projections that are way out in the future that actually no one can say with any real certainty, which means massive upside risk and also massive downside risk. And the two are kind of pushing and pulling against each other.

  17. I guess, you know, the thing that's so interesting, usually I don't actually care that much about market sentiment because usually the way we try to think about on this show is like, what are the fundamentals? How is the business actually looking? And then everything else is noise. But now that we're in this moment where in order to actually fund their own business goals, they have to depend on the capital markets and they have to go out and raise this money, which means that actually they're now dependent on sentiment in a lot of ways. They need investors to feel good about the AI story. Otherwise, they're not going to be able to go out and raise the amount of money that they actually need to raise over the next few years. So just as we start to wrap up here, you know, you cover a lot of this. You're actually in San Francisco. You're like interacting with a lot of these people. You just spoke with Jensen Huang the other week.

  18. What is the sentiment like right now? I mean, we've had the euphoria stage. I can't tell if we're in Duma stage or if people are still feeling optimistic. Like, what is the sentiment in your view. It is not Doomer here in San Francisco. I mean, it remains sort of as bullish as ever. And what Jensen Huang focused on, what Gavin Baker focused on in that interview is demand. And that is undeniably still, you know, just at the earliest stages. What I would say, though, is I mean, that is a very that is a bit of a disconnect, right, from Wall Street. And I think that some will be able to withstand that better. NVIDIA is going to be OK right there at the center of the entire trade and you we can talk about as well you know gpu futures a way of insurance and the lifetime of these gpus is lasting a long time so there's a cohort of companies that are going to be okay we talked about a lot of them the mag 7 you know spacex as well is able to tap markets and raise more money companies will be able to do that i think the fear maybe are some of the neoclabs right and is that the thing that sort of breaks the ai trade so that may be something to look at a lot more closely because, Ed, I love that you look at the fundamentals. Me too. When you look

  19. at the big tech fundamentals, which I think these are the numbers that people here in tech focus on, like these cloud numbers. were insane. AWS up nearly 40%, Azure nearly 50%, Google Cloud over 100%. That is sort of indication that the demand is there and it's paying off, but Wall Street is really focused on some of those other core businesses that have paid for the build-out. Deirdre Bosa is founder and host of Deirdre Bosa Live, which I understand is officially launching next week. Could you tell us a little bit about it, Deirdre? What's the launch going to look like? What's the timing? Yeah, so we actually launch our daily show on Monday, November 9th. We're going to be live at 1 p.m. Pacific, 4 p.m. Eastern, right after the markets close. Every day I'm sitting actually in the office space, not the studio. It's still under construction. Final touches are being put on just across from me. So really excited. And Ed, hope to have you on to chat with me there as well. I would love to, and I'll be tuning in.

  20. Thank you so much, Deirdre. Thanks for having me. it is election day in america and voters are casting their votes in what could be a blockbuster election for the democrats but before we are able to break down the results of the midterms let's take a moment to check in on what will probably be the most important topic on many voters minds and that topic is the economy how is it doing joining us to discuss this where the American economy stands ahead of the midterms. We're speaking with Mark Zandi, chief economist at Moody's Analytics. Mark, thanks for joining us on Prof G Markets. So half of registered voters tell Gallup, they did a poll, that the economy is extremely important to their vote. I'm not surprised by this. This seems to me to be the most important thing heading into these midterms. So I just wanted to get your update. How is the economy doing halfway through Trump 2.0.

  21. Well, Ed, I'll tell you, I'm surprised only half. I would have thought it would be much more than that. Me too. Because I think that's top of mind for sure for many people when they go going to the polls. Well, the economy, it depends on which economy you're talking about. I mean, if you're talking about the AI economy and you're in that ecosystem, benefiting from all the investment that's going on, or more likely if you own stocks and AI companies, you know, the economy feels pretty good. You're a lot wealthier than you were. not too long ago. In fact, the total value of publicly traded stocks in the U.S. has doubled in just the past four years since Chad GPT was put on the planet. So the wealthy, the folks that own the stocks, they're doing fine. No problem. Life is good and they're outspending. For the rest of Americans, not so much. Many Americans don't own stock. Most Americans don't own any stock of any consequence. And of course, many Americans, about a third, don't even own their own home, they're struggling. Their after-inflation income is at best holding its own, maybe even declining, and their purchasing power is evaporating. And this goes to the higher inflation, this goes

  22. to higher interest rates as a result of things like the Iran War. So their economy is not so good. When you add it all up, you know, it looks okay. The economy is growing, but, you know, it's a very fragile growth. And again, it depends on whose economy you're talking about. Yeah, I mean, we've seen income inflation adjusted falling over the past six months uh prices obviously continuing to rise you said uh in may you said quote in my 36 years as a professional economist the stock market has never been more disjointed from the economy um which gets at what you've just explained there this difference between the ai economy the stock market economy and I guess we could call it the real economy, the workers' economy. To what extent do you think that disconnect is going to play a role? Do you think that any Americans say, okay, well, my wages are down, my grocery prices are up, gas prices are up, but I have a more valuable stock portfolio, and I'm happy about that? Is that something that you think that voters are actually going to think heading into these elections? Well, I think three-fourths of Americans don't own stocks of any consequence, and many don't own their own home. So what's going on with

  23. regard to AI stocks means nothing. So the stock market can go up, it can go down, it can go around. It doesn't matter. What matters for them is what they're feeling, and that is, are my wages, you know, what I'm getting paid, keeping pace with the higher prices for the things that I'm buying. And that's real income, real so-called real wages, after-inflation wages. And there, you know, the picture is pretty bleak. I mean, real wages are going down. Inflation is faster than the rate of- growth in wages. So people's purchasing power, their ability to buy things is declining. And they feel that. They know that. They sense it. And that's what makes them upset. And that's why consumer sentiment surveys are as weak as they are. That's why the polling numbers are the way they are. That's why the Republicans are getting blamed for what's going on. For that three quarters of Americans, the financial situation is pretty tenuous. And then you throw into the mix, more recently, the hot run-up in interest rates. I mean, interest rates had been pretty low until the war. And now the fixed mortgage rate, which is kind of the benchmark rate that most people think about when they think about rates, what they have to pay to get a mortgage,

  24. it was below 6% before the war started. It's now well above 7%. And of course, that just makes housing, homeownership completely unaffordable. And that's just part of it. It's higher credit card interest rates, higher interest rates on home equity lines of credit, consumer finance loans. So again, for most Americans who don't own AI stocks, it's a pretty vexed time. They got a job, you know, okay, but, you know, their wages are just not keeping up with the pace of inflation. Their real standard of living is on the decline. I'm just going to read you a few quotes by President Trump that CNN collected. So this was in 2024. Trump said, quote, energy is going to bring us back. That means we're going to get gasoline below $2 a gallon. Gas was $3.33 at the time. It's now $4.22 nationally. He also said that we will quote, slash electricity prices by half within 12 months at a maximum 18 months.

  25. Electric prices have risen around 14% since he began in office. He said, as you point out, He said, we're going to, quote, get mortgage rates back down to, we think, 3%, maybe even lower than that. He said that in September 2024, mortgage rates have risen to more than 7.2%. I mean, I could go on. We could talk about manufacturing jobs. We could talk about balancing the budget and the deficit exploding. There are so many promises that were not kept. I guess that happens a lot in politics, but what seems striking to me is the extent to which all of these problems seem to be almost principally his fault. Like, you look at gas prices, it's hard to say that that is a result of anything.

  26. anything other than his geopolitical decisions in launching a war on Iran. Same with, you know, consumer prices. I mean, that's largely due to the gas prices, but also because of the tariffs. I mean, do you think that there is anything else out there on which we can place the blame when it comes to economic problems in America? Or is it genuinely the president's fault this time? Well, it's policy writ large. I mean, the Iran war is the most obvious, most immediate. I mean, inflation and interest rates have risen pretty much since the day the war started back on February 28th. But there's other policies. I mean, there's the tariffs. We're not talking about the tariffs, but the tariffs, same kind of damage to the economy.

  27. It raises inflation. It's a tax on American consumers, raises inflation through higher prices, which weakens economic growth. So same kind of dynamic is playing as a result of that. And, of course, the very heavy-handed immigration policy, same result, you know, weakens economic growth because many companies that rely on immigrant workers just can't get them, can't find those workers. and they raise their prices for the things that they've produced because they need to bring demand back down consistent with the amount they can supply with reduced labor force. So again, another policy that's causing the same kind of dynamic to play out, weaker economic growth in higher inflation.

  28. I mean, I think the whole narrative about the economy would be very different today if not for AI. I mean, if not for the boom in AI investment that we're observing that's come on very quickly and the boom surge in AI stock prices, the narrative around the economy would be really pretty bleak. It'd be pretty dark. We'd be talking about recession. And it does go back largely to economic policy. Now, there's all kinds of other things going on, other dynamics, but at the end of the day, I totally am sympathetic to what you're saying. It's policy that's at the root of what's going on uh before we end your economic scorecard um or your if you had to give a grade to this economy heading into the midterms what would it be and then to close out uh i'd love to hear if you have any predictions for the for this election you know that's my that's my profession is predictions uh and i do sympathize with the president it He got his forecast wrong, but, you know, forecasting is a pretty intrepid affair.

  29. You know, I give the economy a B because, you know, it's A++ when it comes to the AI economy. For the non-AI economy, it's probably a D. So you take the average of the two, B-, let's say, somewhere in there. But that doesn't do justice to the reality of what people are feeling. They're either in the A++ world or they're in the D world. And there's many more Americans in the D world than the A++ world, if that makes any sense at all. You know, I am an economist, and I, you know, look at things like election results through the prism of the economy. And, you know, it's the economy stupid, going all the way back to James Carville and the Clinton election.

  30. And I think that still holds. And the economy for most Americans, not for all, but for most, the majority of Americans, it's pretty tough. And it hasn't gotten any better. It's getting worse. And people are connecting the dots back to things like the Iran war and the tariffs. They know that that's behind a lot of what we're observing. So that would strongly argue that, you know, we'll see a change in government here on the other side of the election. Certainly the House and very possibly the Senate. Mark Zandi is chief economist at Moody's Analytics. Mark, we will see and we will check back in.

  31. Appreciate your time. Stay tuned. Okay, that's it for today. Tune in tomorrow to hear our coverage of Apple's earnings with Patrick McGee. Later on this week, we will also be unpacking the midterm results with Catherine Rampell and also Matt Iglesias, so don't miss it. This episode was produced by Claire Miller and Alison Weiss and engineered by Benjamin Spencer. Our video editor is Brad Williams. Our research team is Dan Chalon, Kristen O'Donoghue and Mia Silverio. And our social producer is Jake McPherson. Thank you for listening to Prof G Markets from Prof G Media. If you liked what you heard, give us a follow.

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