In short: The host, not Deluard, raised it: Caterpillar is "up like 10x in the last few years" as the builder behind the data centers. It shows how the AI trade "has filtered into everything," which Deluard answers with his "property on the fault line" point.
40:37— With respect to AI right now, so many things are tied up in this trade. It's a property trade, it's a debt trade, it's a capex trade. You've got anything tied to it — Caterpillar for example, Caterpillar's up like 10x in the last few years because obviously they're just the construction company behind it.
In short: Already out of JOET — a rules-based exit, not an argued call. Terranova, listing his AI-power exposure: "we sold out of Caterpillar in the last rebalance, but we're sitting there [in the rest] and we will remain there till the next rebalance."
In short: A short candidate supported by the single cleanest insider signal there is — the CEO halving his own stake. "Caterpillar CEO Creed sold 48% of his CAT stock for 46 million" (the deck's agenda line prices the same sale at $26 million). "For people looking at shorting CAT stock as a high valuation cyclical name, the fact that the CEO is selling half his shares might mean the company might have peaked in the short term." The macro fits the same direction on this call: private construction outside data centres is declining, mortgage rates could go above 7%, and BofA flags rising commodity costs against limited pricing power.
Caterpillar makes construction and mining equipment — the classic cyclical business, whose profits swing with how much building the world is doing. The shares have run to a high valuation for a company of that type, which is why some investors have been looking at it as a short: a bet the price falls.
The new information is an insider sale of unusual size. The chief executive sold 48% of his personal holding. Executives sell shares for all sorts of innocent reasons — taxes, a house, diversification — but selling roughly half of a stake is different in kind from trimming, and the person doing it has the clearest possible view of the company's order book. Singh's phrasing is appropriately measured: it "might mean the company might have peaked in the short term."
The rest of the call supports the same direction. Construction outside data centres is declining, mortgage rates may go above 7%, and Bank of America is warning that rising commodity costs are squeezing margins for companies without pricing power. A richly valued cyclical, in a decelerating cycle, whose chief executive is halving his stake, is a coherent short case rather than a single datapoint.
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In short: The other name in Weiss's pair of data-center-adjacent industrials: "Cat goes here and there, but still it's well off its highs… they really are much more volatile than these names, than Mag 7." Cited to explain why capital has concentrated back into mega-cap tech rather than the build-out plays — safety, known businesses, cheap debt and defensible valuations on one side; political headline risk and a lower high on the other.
Caterpillar makes the heavy equipment that builds infrastructure, including data centres, and it is the second half of Weiss's pair of names that are "well off their highs" while mega-cap technology recovers.
It is cited to explain the rotation rather than to make a case either way. Money went back into the largest technology companies because they offer known businesses, cheap debt and defensible valuations; the build-out names offer the same underlying demand with an extra layer of political risk attached, and the market is currently paying up to avoid that layer.
In short: Fourth exhibit — "your Caterpillar is red" — and separately one of Harrington's "hard to value" names: "when you think about Caterpillar and GE Vernova, even those are kind of hard" now that AI-driven demand has been layered on top of the normal cycle.
In short: Verrone: "Caterpillar had a pretty big quarter" — the third of the build-out names that corrected deeply and "all responded over the last couple weeks." Consistent with Eisman's own May 1 read of CAT as an AI story via data-center construction equipment.
Caterpillar sells the earth-moving and power-generation equipment that data-centre construction consumes, which is why a heavy-machinery company now trades partly as an AI name. Verrone notes it "had a pretty big quarter" and, like Quanta and EMCOR, has responded after a deep decline.
This is the same "own the supplier, not the spender" idea Eisman has been pushing all year, arrived at from the chart rather than the thesis.
25:29Steve, I think it's interesting after deep corrections in what I would call AI-adjacent or build-out type names, Quanta, Emcore. These probably down 30% from the highs. Caterpillar had a pretty big quarter. They've all responded over the last couple weeks. Quanta was up like 15% on earnings day last week. It was amazing.
In short: The peak-industrial short thesis took a hit: Caterpillar "crushed Wall Street's second quarter expectations" with sales $20.5B vs $19B, a record equipment backlog for data-center power generation, and full-year sales growth guidance raised to the mid-to-high teens — shares +13%. "Really, I think hurting Burry — I think Burry was short this name… not a good week for Burry." No restatement of the SSR short.
Caterpillar had been a short for the house as a bet on peak industrial valuations. This quarter went the other way: sales of $20.5 billion against $19 billion expected, a record order backlog, and full-year growth guidance raised to the mid-to-high teens.
The driver is worth noting because it links back to the AI theme — the strength came from generators and power equipment for data centres. The fear had been that this demand was cooling; the results said it isn't. Michael Burry, also short, was on the wrong side.
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In short: Ethridge's example of the AI build-out's second- and third-order effects: "Caterpillar, for example, having its best year probably ever because of Microsoft, Amazon, Google and Meta spending as much as they are on the build-out." His caveat is the timing one that runs through the whole episode: much of that spend was pulled forward into this year, so "how much of that spending that has reached them already is going to slow down because the companies accelerated this year and they won't do it again next year?"
Caterpillar sells the heavy machinery that physically builds data centers, and it is having what Malcolm Ethridge thinks is its best year ever purely because Microsoft, Amazon, Google and Meta are spending so much on the build-out — a textbook second- and third-order beneficiary.
His caveat is about timing rather than the business: those four companies pulled next year's purchases into this year to lock in today's prices rather than risk higher ones later. If that's right, some of the demand reaching suppliers like Caterpillar has been borrowed from 2027 — so the growth rate, not the business, is the thing to watch.
In short: A bearish chart observation, not a stated short: "the power gen/components/buildout stories like Caterpillar, Eaton, Vernova, etc have started to break down amidst the violent rotation away from semiconductors and a general stagnation in the AI dreamscape." Named as the live risk to the copper trade — "Copper is adjacent to this, and this is a real risk."
Caterpillar makes the heavy machinery and the big generator sets that go into building and powering data centres, so its shares have been traded as an AI-buildout play rather than as a plain industrial.
Paulo isn't recommending a short — he is pointing at the chart as evidence against himself. These power-buildout names "have started to break down," meaning the market is quietly pulling money out of the AI construction theme. Because a meaningful chunk of copper demand is forecast to come from that same buildout, a breakdown here is a warning light for his own copper trade. He names it, calls it "a real risk," and takes the position regardless — "do the hard trade."
In short: "Just been a rocket ship. I think it's probably overdone here" into Tuesday's print — and the sector chart backs it: on the PE-versus-history page, industrials are in the red as historically expensive (communication services is the cheap end). "One of the reasons why I think Caterpillar is overdone."
Caterpillar has been "a rocket ship," and Singh thinks that's the problem. On the chart comparing today's valuations with each sector's own history, industrials stand out in the red as historically expensive — while communication services sit at the cheap end. Buying an already-expensive cyclical after a huge run, into a slowing economy, is the setup he'd rather be short than long.
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In short: Both engines together — the arithmetic worked out. "That's what happened to Caterpillar ($CAT) from 2019 to today. Free Cash Flow: +86%; Multiple: +186%; Stock Price: +536%. High earnings growth + multiple expansion is the golden goose for you as an investor." Cited to show the two effects compound rather than add; no stance on Caterpillar itself.
In short: A "smoke stack industrial" swept into the AI mania: the stock "just exploded" off a good 2023–24 breakout near 200 and is "now very extended" at ~32× earnings and 6× sales — "way above anything it's ever seen before" on a cyclical. The turbine story is capacity-constrained ("can they really make that many more? Well somewhat"), so "if the AI data center buildout starts to slow down, Caterpillar is going to get hit hard. If your viewers have got a big position of CAT, they may want to take some partial profits at least."
Caterpillar makes construction machinery and power-generation turbines — an old-economy industrial that most people wouldn't think of as an AI stock. But it has been swept into the data-centre trade because those sites need turbines for electricity, and the stock "just exploded."
The valuation is now, in his words, "way above anything it's ever seen before": about 32 times earnings and 6 times sales. For a cyclical company — one whose profits swing with the economy — that is exceptional, because the market is paying a premium multiple on earnings that are at a peak rather than a trough. He notes the double warning: Scott McNealy famously mocked investors for paying 10 times sales for Sun Microsystems in 2000, and here is a "gears and wheels" company at 6.
He also doubts the turbine story can grow much further — capacity is constrained, so "can they really make that many more? Well somewhat." Conclusion: "if the AI data center buildout starts to slow down, Caterpillar is going to get hit hard. If your viewers have got a big position of CAT, they may want to take some partial profits at least."
57:43And if we look at his valuation on the next chart, it looks price to sales 31 time 32 times. But more importantly on a cyclical stock that's price to earnings sorry 32 on PE six on price to sales which is way above anything it's ever seen before. — Yeah they make part of what they make is turbines but can they really make that many more? Well somewhat but they're going to be capacity constrained.
In short: Doubling its Solar Turbines capacity by end-2029 "at the exact wrong time" — a replay of the early-2000s gas-plant boom/bust — just as buyers may question deploying those gensets because gas is far more expensive than planned.
Caterpillar's Solar Turbines unit makes smaller on-site gas generators. Smith says it's doubling that capacity by the end of 2029 — "at the exact wrong time."
His worry: this repeats the early-2000s gas-plant boom that ended in a bust. Just as all this new capacity comes online, buyers may not want it, because the gas to run those generators will be far more expensive than they assumed. So he sees the market underappreciating the risk to that business.
35:54But as you look at 2028, 2029, most of them are adding more capacity again just like they did in the early 2000s. — Companies are these just like exactly — Caterpillar. Caterpillar is I think they're doubling their solar turbine capacity between now and the end of 29, which I would judge is just at the exact wrong time when people may be questioning whether they even want to deploy those assets because the gas is much more expensive than they planned.
In short: Giroux: trades at 38x NTM earnings vs a 16x 10-year average on data-center power enthusiasm — the market is effectively paying 230x the CURRENT data-center power business and ~70x its 2030 PEAK earnings, while Caterpillar, Cummins and others all add capacity. "This won't end well." Also on his in-sourcing losers list.
Giroux's valuation autopsy: Caterpillar spent a decade trading at ~16 times earnings; it now trades at 38 times because investors love its data-center generator business. Unpack the math and the market is paying roughly 230 times that business's current earnings — and about 70 times what he thinks will prove to be its PEAK earnings around 2030, since Caterpillar, Cummins and others are all adding capacity into the boom (capacity that arrives just as AI capex growth slows). "This won't end well."
In short: An HSBC top pick, but the desk splits: Simpson holds (a multiyear power-gen / mining-infrastructure play, not just AI-adjacent; +65% ytd, +132% 12mo, "we're not selling") yet won't add — at his 5% max and "up against the threshold to perfection." Weiss sold half — "way overvalued." Simpson would still "buy it on all weakness."
Caterpillar makes heavy machinery and, increasingly, power-generation and mining equipment tied to the data-center buildout. HSBC named it a top pick, but the committee is split, which nets out to Neutral. Kevin Simpson holds it as a multi-year story and won't sell — but he's at his 5% position limit and wouldn't add, calling it "up against the threshold to perfection" (priced for everything going right). Steve Weiss went the other way and sold half, calling it "way overvalued" after a 65% run this year. Simpson would still add on any real weakness.
In short: "We could own Caterpillar," but prefers the dealer (Toromont) for resilience. CAT/John Deere equipment is on every North American construction and data-center build site — a quasi-AI play.
59:00Again, it's trying to go through the list of Canadian industrial businesses and find ones that we thought were the most resilient.
59:06And I wonder if these are kind of quasi AI plays, too, because you got to build data centers and that requires CAT or
In short: Burry's first-ever CAT short, initiated after the stock surged 86% in H1 despite sales that "aren't growing that fast." The report flags shadowing structural shorts on overextended, low-growth industrial cyclicals run up purely on momentum.
Caterpillar's stock jumped 86% in the first half of the year even though it isn't actually selling much more equipment. That gap between a soaring price and flat business is exactly why Michael Burry (of "Big Short" fame) shorted it for the first time ever — a bet the price falls back toward reality. Singh relays it as part of Burry's broader wager against over-hyped, momentum-driven names.
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In short: Call of the day: Baird PT to $1,200 (was $1,165), ~20% upside, record high yesterday, +77% YTD. Simpson: "gets paid along the way" (no late-'90s vendor-credit risk), keeps a 5% max and trims into strength. Harrington (from the energy conf): long, robust queues = a long runway. Weiss is the bear — cut a third as it went long-term; "an AI trade pure and simple," 36× (used to be mid-teens), "closer to the 'isn't' than further away."
Caterpillar makes heavy equipment and, increasingly, the engines and gear used to build and power data centers — which is why it's become an "AI trade." A Wall Street firm (Baird) just raised its price target to $1,200, and the stock is up 77% this year at record highs. The bull case from Simpson: unlike the late-1990s suppliers who sold on credit and got stuck with IOUs when the boom ended, Caterpillar "gets paid along the way," so even when the cycle turns it isn't left holding bad debt — and there's still a runway as everyone races to build data centers.
Weiss is the skeptic and is trimming. His worry isn't the company, it's the price: it trades at 36× earnings (it used to be in the mid-teens), and "it's an AI stock until it isn't." His sharpest point is about timing — what matters isn't when the spending boom actually ends, but how far ahead of that the market starts pricing it in. Since everyone now assumes the boom lasts years, there are few new buyers left to push it higher, which "adds to the risk substantially." Both he and Simpson manage it the same way — trim into strength.
In short: Brown: the industrials leaders are AI-infrastructure stocks — "own the buildout"; Caterpillar up ~4% on the day on the Micron read-through.
In short: The construction-equipment leg of the AI build-out — now a $1,000+ stock, up 70% YTD / 176% on the year as it sells bulldozers/excavators into data-center construction. "Everything in this entire chain related to AI is going up."
10:35Even the companies that are in construction, that are building all of this stuff, you find companies like Caterpillar. Caterpillar is now a $1,000-plus stock. It is up 70% year-to-date. In the past 1 year, it's up 176%. Since they make bulldozers, excavators, and a lot of other construction equipment, this stock is going up like crazy.
In short: Named as supplying additional turbines (via a subsidiary) to supplement GE Vernova on the project — a secondary equipment beneficiary.
In short: "Look at Caterpillar" — cited (with copper, aluminum, sulfuric acid) as the real-economy evidence that the AI-capex/fiscal-spending boom is fueling inflation.
8:28Here, we've had a fiscal spending in Washington of $1.9, $1.8 trillion. We have $2, $3, $4 trillion going into artificial intelligence capital expenditures. That's fueling inflation. Look at Caterpillar, look at the price of copper, look at the price of aluminum, sulfuric acid.
In short: Named as a competitor in portable/on-site power and as the valuation benchmark — trades at ~6× 2025 sales, against which ERock's ~32× looks lofty.
In short: "Way up" on data-center construction demand — a low-on-the-hierarchy cyclical beneficiary; great today, "not great in 3 to 5 years" once the build-out normalizes.
4:39They have immense pricing power because everybody suddenly needs their products and they're uniquely positioned to create them at this point in time. Then in number eight, on the lowest level, we even have great companies today that have immense pricing power. Any company that is specializing in the land power contracts, grid access, construction, I would say even manufacturing companies or construction companies like Caterpillar.
In short: An AI story even if you don't think so — data-center construction needs Cat equipment. EPS 5.54 vs 4.63 est (4.25 last yr); revenue 17.4B +22%, beat by >$1B; construction industries unit (the most AI-CapEx-related division) +38%.
Caterpillar makes the heavy construction and mining equipment — the yellow bulldozers and excavators. You might not think of it as an AI stock, Eisman says, but it is: building all those data centers requires Cat machines. The proof is in the numbers — earnings of $5.54 versus $4.63 expected, revenue up 22%, and most tellingly the construction division (the part most tied to AI build-out) grew 38%. Another supplier-side beneficiary of the AI spending wave.
25:51All that data center construction requires equipment from companies like Cat. And Cat posted earnings per share of 554 versus 425 last year and versus the 463 estimate. So, a very nice beat. And revenue of 17.4 billion was up 22% and beat the estimate by more than a billion. Most importantly, sales grew 38% in the construction industries unit, the division most related to AI CapEx.
In short: Best year-over-year in its history (~30% above the prior record) on data-center expectations — but "a lot of front-running"; a marker of the AI-capex overdose, not a recommendation.
Caterpillar makes heavy construction and mining machinery. He isn't recommending it — he's using it as a thermometer. Its best year-over-year result ever (about 30% above its old record) reflects all the spending expected on data centers. But that means a lot of good news is already "front-run" (priced in ahead of time), so to him it's a sign of how overheated the AI-spending boom has become.
15:12It's traded you know, it's literally it's it's its best 52 weeks it's that it's ever had. So, the best one year over a year by by almost 30% in the history of Caterpillar. It's best one year year-over-year number and by 30% higher than the previous record. And that's because of the data center expectations. So, everything's baked to the cake.
In short: Valuation benchmark — Caterpillar at ~30× earnings is cited (with Deere) as a slower-growing industrial that NOW now trades below on P/E despite NOW's far higher growth profile. Not a call on CAT.
In short: "Caterpillar tractors are in short supply" — another input driving the data-center buildout cost (and Mag-7 margin hit) higher.
Caterpillar makes the heavy construction equipment used to build things — including data centers. He notes its machines are in short supply.
The point: scarce equipment drives up the cost of building data centers, which adds to the cost squeeze on the big AI companies. Like Micron, he cites it to illustrate why Mag-7 profit margins are under pressure, not as a stock recommendation.
21:13Caterpillar tractors are short supply. So you have this — the data center build out is going to cost a lot more and that's going to hit the profit margins of Mag 7. That's what the market is telling you. That's why the Mag 7 is underperforming by so much. — Because of the data centers.
In short: David Hay's framing (not Sy's pick) — a former value stock now "priced for perfection."
In short: The IG-spread punching bag — a slowing global cyclical whose bonds yield only ~4.7–5.5% (Aug-'26s at 4.75%), proof that tight spreads underprice risk vs the house's 8–9% baby bonds.
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Verbatim excerpts from the public transcripts (auto-pulled at each mention's timestamp, lightly cleaned). Timestamps link into the video; "source page" opens that commentator's full analysis at this row. Click a mention's header line to expand it (one open at a time). For personal study — not investment advice.