| Ticker | Name | Research | View | What he said | At |
|---|---|---|---|---|---|
| TOU | Tourmaline Oil | QT · SA · STK · FA | Positive | "These Canadian natural gas names are screaming buys, companies like Tourmaline. They have that trapped gas." Institutions are cutting tech and adding gas/coal that directly benefits from AI infrastructure — move the data center to gas that could never otherwise be sold. | 17:59 |
| ISRG | Intuitive Surgical | QT · SA · STK · FA | Positive | From a private ideas dinner with billionaire medical-technology family offices: "these companies are going to benefit from AI in a huge way. Massive increase in profit margins." AI makes Intuitive's surgical data "so much more valuable — they've got a real big moat"; also the robotics leg of the 100-million-robots decade. | 19:21 |
| BAX | Baxter International | QT · SA · STK · FA | Positive | "The Baxters of the world, the Intuitive Surgical" — named at the same medtech family-office dinner as the AI margin beneficiaries, in a healthcare sector that has fallen from 16% to 8% of the S&P as money moved into technology. | 19:21 |
| OIH | VanEck Oil Services ETF | QT · SA · STK | Positive | "Look at the oil services — the OIH is up 50% this year, destroying technology." Cited with industrials-vs-the-Qs, copper and natural gas as proof the rotation out of tech and bonds into hard assets is already running. | 38:06 |
| IBIT | iShares Bitcoin Trust | QT · SA · STK · FA | Positive | "We track the Bitcoin gold ratio and when it gets down into the low teens, that's where you want to be selling some gold, buying some Bitcoin" — the ratio fell from ~40, and "in our trade alerts, we recently bought some Bitcoin, for the first time." Crypto is down $2T from the highs; the overdose on fiscal/capex "should be good for Bitcoin over time." | 40:27 |
| NVDA | NVIDIA | QT · SA · STK · FA | Neutral | "Look at Nvidia today, a 20 billion-dollar bond offering. The Mag 7 has done almost 300 billion of bond offerings." His evidence that the old cash cows are now capital-intensive businesses funding AI with debt and equity. | 14:38 |
| GOOGL | Alphabet | QT · SA · STK · FA | Neutral | "Google just sold 80 billion of stock. They're selling bonds. They're doing everything to fund artificial intelligence" — part of the same equity/debt supply wall that makes the megacaps "the most expensive ever" while their free cash flow is consumed. | 14:38 |
| ORCL | Oracle | QT · SA · STK · FA | Neutral | "The Mag 7 plus Oracle… those stocks are actually down 2% since October" — the digestion problem; and if the bankers are right, SpaceX's $1.4T of future revenue has to come out of this same group's cash flow. | 13:28 |
| JPM | JPMorgan Chase | QT · SA · STK · FA | Neutral | The relative winner so far — "KKR's down 42% and JP Morgan's up 23%" — but the cracks "crack all the way up to the big banks." Also the instrument of financial repression: its reserves at the Fed are down ~$300B, moved into Treasuries because "the Fed and the US Treasury have a gun… pointing at the banks." | 24:32 |
| CRWV | CoreWeave | QT · SA · STK · FA | Neutral | "They just added CoreWeave to the Nasdaq… companies that are really financially a mess" — his exhibit for index committees adding fragile, late-cycle names that passive money is then forced to buy. | 51:16 |
| TSLA | Tesla | QT · SA · STK · FA | Neutral | The IPO-lifecycle yardstick: "Tesla came public at $2 billion… for Tesla to go from $2 billion to a trillion, that's a big home run for somebody that's in the index" — versus SpaceX listing at $2T, where a double means $4T. | 53:15 |
| IONQ | IonQ | QT · SA · STK · FA | Neutral | "Look at these quantum stocks — IonQ's up 6%." Cited (with Rigetti and D-Wave) as the day's evidence of "a bull market with a lot of crazy stocks doing crazy things" — risk appetite that in his framework should be bullish Bitcoin, not a recommendation. | 41:31 |
| RGTI | Rigetti Computing | QT · SA · STK · FA | Neutral | "Rigetti's up at 10" — the second of the three quantum names he uses as a live speculation/liquidity gauge on the day of the interview. | 41:31 |
| QBTS | D-Wave Quantum | QT · SA · STK · FA | Neutral | "QBTS, these stocks are up 10" — froth datapoint in the same breath; the puzzle he can't resolve is why that risk appetite isn't showing up in Bitcoin. | 41:31 |
| MAGS | Roundhill Magnificent Seven ETF | QT · SA · STK | Negative | "The Mag 7 ETF MAGS is down 2–3% since October. It tells you there's a digestion problem." The group is being force-fed capex, bond deals and equity sales while its cash flow gets raided — "these companies are the most expensive ever." | 13:50 |
| SPCX | SpaceX (SPCX) | QT · SA · STK · FA | Negative | "$30 billion in 2019 and now it's two trillion" — twice Berkshire's valuation, 14× Facebook's IPO size, ~4% float on a very aggressive unlock schedule, being dumped into the S&P/Nasdaq/Russell over the next year. "Everyone's 401k is financing billionaires and the little guy is holding the bag"; the Facebook precedent was a 50–60% drawdown. Its space data centers also threaten the financing of on-Earth ones. | 12:25 |
| Anthropic | Anthropic (private) | — | Negative | Next in the queue behind SpaceX ("you can't have 45% of the index that's already in technology and then bring in SpaceX, Anthropic, OpenAI"). The host adds that his maxed-out subscription is subsidized ~20:1 — an unresolved unit-economics problem before any listing. | 11:32 |
| OpenAI | OpenAI (private) | — | Negative | "We've also obviously got Anthropic coming up and OpenAI coming up" — more late-life-cycle, maximum-valuation supply headed for the passive indexes in what he calls "literally the largest IPO cycle we've ever had." | 11:32 |
| KKR | KKR & Co | QT · SA · STK · FA | Negative | "KKR, which is exposed to the credit markets and private credit, down 42%" off the highs while JPMorgan is up 23% — "you're already seeing cracks in the foundation, but that's going to crack all the way up to the big banks." | 24:32 |
| XLF | Financial Select Sector SPDR | QT · SA · STK | Negative | "We're seeing a lot of clients short the financials, either short puts on the XLF" — the expression of the credit-crisis call for later in the year (his wording on the option leg is ambiguous; the trade is bearish the sector via XLF options). | 24:59 |
| ADBE | Adobe | QT · SA · STK · FA | Negative | "A lot of financing that was done in the software space that's blowing up now because artificial intelligence is kind of destroying some software companies… in theory, Adobe is at risk." One of AI's two forms of credit risk (the other being the build-out/NIMBY problem). | 27:28 |
| MSFT | Microsoft | QT · SA · STK · FA | Negative | One of the hyperscalers carrying the hidden leverage — "over $500–600 billion of off-balance-sheet debt that the hyperscalers, the Facebooks of the world, the Microsofts… have off the balance sheet" — and one of the names SpaceX's projected revenue would have to come out of. | 22:37 |
| META | Meta Platforms | QT · SA · STK · FA | Negative | "Guess who has to pay for that? Meta" — for SpaceX to go from ~$60B to $1.3T of revenue, the money comes out of the hyperscalers whose "cash flow is already getting raided by data centers." Also one of "the Facebooks of the world" carrying off-balance-sheet data-center debt, and the IPO-drawdown precedent (−50–60% after listing). | 53:41 |
| LULU | Lululemon | QT · SA · STK · FA | Negative | "They put Lululemon in the S&P at all-time highs. The stock's down 60%" — the case study for index-inclusion timing: people front-run the add, the stock gets dumped into the index, and passive holders eat the drawdown. | 51:16 |
"View" is Larry McDonald's stance in this conversation (Positive / Neutral / Negative), not a price rating. Research links: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis (omitted where no clean page exists). Private companies have no ticker. The MetaMask sponsor read (~25:25–26:09) is an advertisement, not a pick; research shops named in passing (The Daily Dirt Nap, Hedgeye) and people (Saylor, Druckenmiller, Deluard, Farage, Musk) get no rows.
A jargon-free summary of the thesis behind each pick — what it actually is and why he holds that view. (Plain-language companion to the table above; renders on each ticker's consolidated page.)
Tourmaline is Canada's biggest natural-gas producer, sitting on "trapped" gas — gas that is cheap because there's no pipeline to carry it anywhere worth selling it. Normally that's a curse. In the AI era it becomes an asset: instead of moving the gas to the customer, you move the customer to the gas, building the data center right next to a field whose output "would never even be sold because it's too far away from things."
He says the institutions he talks to are actively cutting technology exposure and adding natural gas and coal that feed AI infrastructure, and calls the Canadian gas names — Tourmaline by name — "screaming buys."
Intuitive Surgical makes the robots surgeons operate with. The idea came from a private dinner he hosted with billionaire family offices that specialize in medical technology, and the argument is about data rather than valuation: every robotic operation adds to a dataset nobody else owns, and AI makes that dataset dramatically more valuable — "they've got a real big moat" and the result should be a "massive increase in profit margins."
The second half of the case is positioning. Healthcare has fallen from 16% of the S&P 500 to 8% in five years purely because money drained into technology — the sector is at half its old weight even though it is where the most jobs are being created. Buy the quality companies that were sold for their sector's sake.
Baxter makes hospital and medical-device equipment. He names it in the same breath as Intuitive Surgical — "the Baxters of the world" — as one of the medical-technology companies the specialist family offices at his ideas dinner expect to gain the most from AI, in a healthcare sector trading at half its historical share of the index.
OIH is a basket of the companies that do the drilling and well work for oil producers. He uses it as live proof that the rotation he's been forecasting is already happening: "the OIH is up 50% this year, destroying technology," alongside industrials beating the Nasdaq, copper names beating the Mag 7, and natural gas. If the Fed really is walking away from its 2% inflation target, that rotation out of tech and bonds and into companies that control hard assets keeps running.
This is the simplest way to own Bitcoin through a brokerage account. His rule is a ratio, not a price target: how many ounces of gold one Bitcoin buys. That ratio fell from about 40 to the low teens, and "when it gets down into the low teens, that's where you want to be selling some gold, buying some Bitcoin." Acting on it, Bear Traps "recently bought some Bitcoin, for the first time" through its trade alerts.
Why it's been weak is, he admits, "a real mystery" — crypto is down $2 trillion from the highs in what is otherwise a risk-hungry market (quantum stocks jumped 6–10% the day of the interview). His best guesses are forced selling to fund the SpaceX IPO, or simply a record IPO calendar soaking up all the speculative money. Longer term, the same $17 trillion of fiscal/monetary excess that drives gold should drive Bitcoin.
He doesn't argue the business here — he uses that day's $20 billion Nvidia bond deal as a symptom. The Mag 7 has now issued roughly $300 billion of bonds to fund AI. Companies that were famous for generating cash without needing outside money are now borrowing at scale, which is exactly the transition from "cash cow" to "capital-intensive business" that changes how you should value them.
Same point, a different instrument: "Google just sold 80 billion of stock." Selling shares means issuing new ones — existing owners get diluted — and it lands on top of the largest IPO calendar in history. His conclusion isn't that Alphabet is a bad business but that the supply of new equity, combined with record valuations, makes a flat decade for the index likely.
JPMorgan is the relative winner in the credit story so far — up 23% while private-credit-exposed KKR is down 42% — but he expects the cracks to "crack all the way up to the big banks," and clients are already positioning short the sector.
It's also the clearest example of "financial repression." The bank's reserves parked at the Fed are down roughly $300 billion, moved into Treasuries. In his telling that isn't a market decision: "the Fed and the US Treasury have a gun… pointing at the banks," pushing roughly a trillion dollars of forced Treasury buying across several years to hold interest rates down. Held-down rates are good for owners of real assets and bad for savers.
CoreWeave rents out AI computing power. His interest is not the company but the fact that it was "just added to the Nasdaq" — an index add for a business he calls "really financially a mess." Index membership forces every tracker fund to buy it, which is how fragile, late-cycle names end up in ordinary retirement accounts.
MAGS is a fund that holds only the seven biggest US technology companies. It's down 2–3% since October, which he reads as "a digestion problem": these companies are simultaneously spending $4.5–5 trillion on AI capex, issuing ~$300 billion of bonds, selling stock — and, if SpaceX's bankers are right, about to have $1.4 trillion of their future revenue diverted to a competitor. Record valuations plus disappearing free cash flow is why he expects the index to go nowhere for years.
SpaceX was worth $30 billion in 2019 and came public at about $2 trillion — twice Berkshire Hathaway, and fourteen times the size Facebook was at its IPO. Only ~4% of the shares actually trade; the other 96% is locked up on what the host calls one of the most aggressive unlock schedules ever, and it is being added to the S&P, Nasdaq and Russell far faster than a new listing normally would be.
That combination is his complaint. Index funds have to buy it at any price; venture-capital insiders become forced sellers the moment their shares free up (a fund with 40% of its book in one name legally must rebalance); and the precedent is Facebook, which fell 50–60% after listing. "Everyone's 401k is financing billionaires and the little guy is holding the bag."
There's a second, sharper risk: Musk is "promising a rail system to space" with data centers in orbit. If that takes market share from data centers already being built on Earth — which carry NIMBY opposition and enormous financing commitments — the loans behind them go bad.
Anthropic is next in the IPO queue behind SpaceX, and that's the problem: "you can't have 45% of the index that's already in technology and then bring in SpaceX, Anthropic, OpenAI." Every one of these arrives fully valued after years of private-market gains, and passive funds must buy it regardless. The host adds a business-model caveat from the user's side — a maxed-out subscription is being subsidized at roughly 20 to 1, so the economics have to change before the public gets the bill.
Same argument as Anthropic. OpenAI is part of what he calls "literally the largest IPO cycle we've ever had" — companies coming public "much later at much higher valuations," with the gains already captured privately and the remaining risk sold into index funds.
KKR is a private-equity and private-credit giant — it lends to companies outside the banking system. It's down 42% from its highs over about eighteen months while JPMorgan is up 23%, and he treats that gap as the early warning: the losses are showing up first where the risky lending was done. "You're already seeing cracks in the foundation, but that's going to crack all the way up to the big banks."
XLF is the fund that tracks the big US financial stocks, and it's how his clients are betting against them: "we're seeing a lot of clients short the financials, either short puts on the XLF." (His phrasing on the option leg is loose; the position is bearish the sector, expressed through XLF options.)
The logic: a credit crisis that starts in private credit and AI-related software lending eventually reaches the banks that funded it, and he expects that to arrive later in the year — September or October — just as the post-Hormuz inflation bounce lands.
Adobe is his example of AI's first kind of credit risk: not that AI fails, but that it works and destroys the businesses it replaces. "A lot of financing that was done in the software space… is blowing up now because artificial intelligence is kind of destroying some software companies… in theory, Adobe is at risk." When lenders financed those companies assuming subscription revenue would compound forever, an AI-shrunk revenue line becomes a credit problem, not just a stock problem.
Microsoft is one of the hyperscalers carrying what he calls the hidden leverage of this cycle — "over $500–600 billion of off-balance-sheet debt." Off-balance-sheet means the borrowing sits in separate financing vehicles rather than on the company's own accounts, so an investor reading the balance sheet doesn't see it. That's the specific echo of Lehman he's pointing at.
On top of that, its cash flow is already being consumed by data-center spending — and if SpaceX's projected revenue is real, another trillion dollars of it gets handed over.
Meta is the other name he puts on the off-balance-sheet debt ("the Facebooks of the world"), and the one he names when asked who ultimately pays for SpaceX's growth: "Guess who has to pay for that? Meta." For SpaceX to get from roughly $60 billion of revenue to the $1.3 trillion its bankers project, that money comes out of the hyperscalers' pockets — whose free cash flow "is already getting raided by data centers."
Meta is also his cautionary IPO precedent: Facebook "came public with a big loud roar and then there was like a 50–60% drawdown" as its locked-up shares hit the market — the template he expects SpaceX to repeat.
Lululemon is his case study in how index membership can hurt you. It was added to the S&P 500 at all-time highs and the stock is now down 60%. The pattern he describes is deliberate: traders work out what's about to be added, buy it in advance, and sell into the wall of forced buying when the index funds have to take it — "the little guy gets to holding the bag."
Summary & timestamps derived from the public YouTube video (transcript in transcript.txt) for personal study. Not investment advice. © Risk Takers for source material.