Panel = CNBC's investment committee; "View" is the panel's net take this episode and the cell names which member(s) held it. This is an audio podcast and the Spotify transcript carried no (mm:ss) cues and no named speaker labels (only numeric "Speaker N" markers, mapped from context) — so each "At" cell simply opens the episode and the talking points below are plain segment headings rather than timestamps. Order: Positive → Neutral → Negative. Research: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis.
| Ticker | Name | Research | View | What the committee said | At |
|---|---|---|---|---|---|
| ORCL | Oracle | QT · SA · STK · FA | Positive | Lebenthal's buy-more after the print, with every number he asked for on Sep 8 delivered — and the stock red anyway. "They got the top line revenue growth that we were looking for, 30%… free cash flow a little better than expected, actually a lot better than expected… it was expected −10 billion, it was −5 billion… they did not announce any more CapEx plans than what are already in place, no new fundraising plans. And if I look at the credit default swaps on their five year paper, they're actually starting to come in… a few weeks ago they were up at 215 basis points, now they're at 181 basis points." On the drop: "the answer is simply that interest rates have gone up… people are looking at a company that has 80 odd billion going probably over the next two years to 150 billion in debt… To me, this is a buying opportunity… a name you can add new money to right now, unless you think the AI thing is all a bubble. I don't." Plus the backlog: "their continuing performance obligations went up by another $30 billion… this is coming up on $700 billion of backlog… they don't need all of that to come through for this to be a massively undervalued stock." Harrington dissents on management capability rather than valuation (see CoreWeave row). | listen↗ |
| PLTR | Palantir | QT · SA · STK · FA | Positive | Target raised to $250 from $200 at DA Davidson (reiterated Buy); Simpson owns it and buys the theme over the multiple. "That's a huge price increase, Scott. This stock's trading around 166, 167. If you look at the multiple, it's stretched. The valuation is certainly demanding. But having said all that, I think they are the place to go, especially for AI sovereignty… and deployment. So this is a government contract, a consumer contract. This is a platform that I think everyone is gravitating towards. And I think more and more portfolio managers will be adding this to the portfolio." The argument is ownership-flow plus category position, explicitly not valuation. | listen↗ |
| UNH | UnitedHealth Group | QT · SA · STK · FA | Positive | Simpson's new buy of the day — a re-entry a year after being stopped out. "A stock we've owned off and on for the past 15 years. Most recently we were stopped out early in 2025… around 355, 360 average cost. Ultimately it got down to about 235, and finally the stock has come back to the point where we feel like the earnings are closer to a trough than a peak… adjusted earnings per share was $6.38. But more importantly, we saw analysts guide up, and the guide from management is close to $20 per share… we sold it for relative underperformance… a year later we're coming back into the name." Saccocia corroborates on the operating metric: "UNH and others have gotten their medical loss ratios under control. There's potentially some earnings improvement. And we're not even talking about what could happen after the midterms." Context: healthcare is having its worst week since March. | listen↗ |
| FCX | Freeport-McMoRan | QT · SA · STK · FA | Positive | Simpson's final trade, and a new position rather than an add: "I would use the recent pullback in copper to initiate a position in Freeport-McMoRan." The framing is the dip itself — copper's pullback as the entry into a metal the desk has been constructive on for months (Terranova named the same stock as his final trade three sessions earlier, on Sep 8, with an "into the 80s" price objective). | listen↗ |
| DAL | Delta Air Lines | QT · SA · STK · FA | Positive | Lebenthal's final trade — an add on a completed correction, evidenced by the inflation print that spooked everyone else. "It feels like the correction in Delta Airlines is over. Airports are packed. We see in the CPI that airline tickets are up. Seems like a good time to add to it." The neat part is the reuse of the day's hot CPI as a revenue signal rather than a rates signal — the airfare component that pushes the Fed toward a hike is Delta's pricing power. | listen↗ |
| KMB | Kimberly-Clark | QT · SA · STK · FA | Positive | Harrington's final trade, and the hour's only explicitly AI-proof idea. "Kimberly-Clark drifted down by about 10% in the last month. Nothing company specific. So you're back up to over a 5% dividend yield and you have 0 threat from AI." Wapner's one-line summary — "OK, AI toilet paper" — is the joke, but the structure is the classic Harrington trade: an unexplained drawdown in a boring cash generator that resets the yield, in a week when the debate was entirely about AI capex and long rates. | listen↗ |
| META | Meta Platforms | QT · SA · STK · FA | Neutral | The day's best-performing mega-cap (com services +2% on the Muse AI agent) and the desk's cleanest disagreement about what this year's chart means. Harrington holds and defends on numbers: "they're still generating huge amounts of cash… they went from 5 or 7% free cash flow down to 0, but it's for all the right reasons. It only trades at 20 times, down like 2% on the year… they just keep doing things efficiently… you kind of need to give them credit for getting it right," and she reads the year as consolidation after "in the past six years we've up 1000%." Wapner pushes back that every rally has reversed: "I think there was more questioning than consolidating… do we believe in the direction that Mark Zuckerberg is taking this company?" Saccocia sides with him and names the specific doubt — selling compute: "this is an ad spending company that makes money on eyeballs… it puts into question the amount of capacity they have built up and whether that is justified… but it also is like, well, do you even know how to do that? This is not core to their business." | listen↗ |
| AAPL | Apple | QT · SA · STK · FA | Neutral | Best week since July 17 (+4.5%) on the foldable's reviews — and Lebenthal still won't add, in the same standoff with Wapner he had three sessions earlier. "I think this is a delayed response to the product launch. People are reading reviews of the folding iPhone and saying, hey, maybe this is worth the $2000 price. I know I'm considering it… they may have the buzz going into the all important holiday season." But: "I have half the market weight. That's a long term core position… I do find it hard to put new money to work at a 34 times forward multiple… my actions speak louder than my words — I sold just before the last earnings report at $330… what would I look for to get back in? Something below 300, something that makes up for the taxes." His valuation anchor: "where has this historically over the last five years been a buy? It's been in the low 20s" — while conceding Wapner's bull case (Siri AI, the upgrade cycle, buybacks) is valid and that the multiple "may not revert back… it could go down. It doesn't have to." | listen↗ |
| Anthropic | Anthropic (private; Altimeter is an investor) | — | Neutral | The company at the centre of the week's AI backlash — and, per Gerstner, its own best safety exhibit. A departing researcher who "spent the last three years doing pre-training research at both OpenAI and Anthropic" posted that "neither company is acting responsibly… they're racing straight to self-improving superintelligence and gambling with our lives." Gerstner (an investor) answered on X: "ridiculous hyperbole from an ex junior employee who worked a total of 6 weeks at Anthropic." His substantive defence is the firm's own disclosure: "they're issuing transparency reports like we saw out of Anthropic yesterday" — 154 pages detailing blocked misuse, including bioweapon attempts and a group in Yemen using Claude to try to develop missiles, plus Alibaba's industrial-scale distillation of the models. Wapner's counter is that the report reads as evidence of the risk, not of its containment. Harrington separately flags the coming S-1 as a market event. | listen↗ |
| OpenAI | OpenAI (private; Altimeter is an investor) | — | Neutral | Cited on both sides of the safety argument and as one leg of Oracle's backlog risk. Gerstner: "Sam Altman just recently said he's telling staff that OpenAI is open to slowing AI development, that he's pushing for mandatory national AI safety requirements in the US… doesn't that make you feel great? Did you ever hear that out of Mark Zuckerberg about social media?" He also uses the unreleased model that "cracked Navier-Stokes… an Astra plus one model working inside of OpenAI" as proof that pre-release government scrutiny is real: "why doesn't the public have access to this model? Because it's undergoing scrutiny by the lab and by the government." On the other side, Lebenthal concedes the concentration critique of Oracle's backlog ("too much of that is OpenAI"), and Harrington names the dated catalyst: "I'll be curious once we see the S-1s from OpenAI and Anthropic… what if there's a little bit of pullback? I think the trickle from a marginal pullback would be pretty painful." | listen↗ |
| CRWV | CoreWeave | QT · SA · STK · FA | Negative | Harrington's name for where the AI froth actually sits — used explicitly as the contrast to Oracle. "I don't think you need AI to come crashing down to have a problem… the challenge right now is that you could have AI contract at the margin. And there's a lot of fluff and a lot of froth and a lot of stocks out there. And I think of like the CoreWeaves more than I think of the Oracles." Her discriminator is balance-sheet experience, not valuation: "given how big their debt load is and how they frankly don't have experience managing a debt load, that's different. Whereas the energy companies and the real estate companies, they've lived through huge debt loads, super long dated, laddered out forever. They know how to deal with it." | listen↗ |
Oracle rents computing power to companies building AI, which means it has to buy the data centres and chips years before the rent shows up. That is why its free cash flow — the cash left after building — is negative: it spent about $5 billion more than it took in, though Wall Street had penciled in twice that.
Lebenthal's checklist from three days earlier was: don't raise the building budget, and grow the top line. Both happened — revenue up 30%, no new capex plans, no new fundraising — and the insurance market agrees: a credit default swap is what investors pay to insure Oracle's debt against default, and that price fell from 215 to 181 basis points, meaning perceived default risk dropped. Signed-but-unbilled future work ("remaining performance obligations") grew another $30 billion to roughly $700 billion.
The stock fell anyway because interest rates rose that day, and Oracle's debt is heading from about $80 billion toward $150 billion — higher rates make that pile more expensive. His view is that this makes the shares cheaper, not riskier: "a name you can add new money to right now, unless you think the AI thing is all a bubble."
Palantir sells software that pulls an organization's scattered data into one place so it can be acted on — originally for defence and intelligence agencies, now for corporations too. "AI sovereignty" means a government wanting AI systems it controls on its own soil, rather than renting from a foreign cloud; Simpson thinks Palantir is the default supplier for that.
He is candid that the price is rich — the stock is around $166 while the new target is $250, and he calls the valuation "demanding." His argument is not that it is cheap but that ownership keeps broadening: more professional managers will feel they have to hold it. That is a flows argument, and it works until it doesn't.
UnitedHealth is the largest US health insurer. The number that governs its profits is the medical loss ratio — the share of premium dollars paid straight back out as medical claims. When members use more care than was priced in, that ratio rises and earnings collapse, which is what happened through 2025.
Simpson was forced out of the stock near $355–360 and watched it fall to about $235. He is buying back now because the ratio is under control and, crucially, because the direction of estimates has flipped: analysts are raising rather than cutting, and management is guiding near $20 per share. His phrase for it is that earnings are "closer to a trough than a peak" — he is not calling the bottom in the price, he is calling the bottom in the earnings.
Freeport is one of the world's biggest copper miners, so its profits swing with the copper price. Copper is the metal the electricity build-out runs on — data centres, grids, motors — which is why the desk has been constructive on it for months.
Simpson is not chasing strength; he is using a pullback in the copper price to open a brand-new position. The distinction matters: an "initiate" after a dip is a deliberate entry-discipline trade, not an add to a winner.
Delta is the premium end of US airlines. Lebenthal's case has two halves: the share-price correction looks finished, and the demand evidence is visible — "airports are packed."
The clever part is where he found his data. The same inflation report that pushed the Fed toward a rate hike showed airline ticket prices rising. Everyone else read that line as a reason to worry about policy; he read it as Delta's pricing power, and bought.
Kimberly-Clark makes household paper products — tissues, towels, diapers. Nothing about the business is exciting, which is the entire point of the trade.
The stock drifted down about 10% in a month with no company-specific news, which mechanically pushes the dividend yield back above 5% — you are paid more for the same business simply because the price fell. Harrington's second reason is the one that fits the day: in an hour spent arguing about AI capex, AI froth and AI job destruction, this is a company with "0 threat from AI." Wapner's summary, "AI toilet paper," is a joke that also happens to describe the thesis.
Meta owns Facebook, Instagram and WhatsApp, and makes nearly all its money selling ads against attention. It is now spending enormous sums on AI data centres, which has taken free cash flow — the spare cash after investment — from 5–7% of its value down to roughly zero.
Harrington is relaxed: the earnings multiple is about 20 times, the stock is flat on the year after a six-year run of roughly 1000%, and sideways is what healthy stocks do after that. The counter-argument, from Wapner and Saccocia, is that this year's repeated failed rallies are not digestion but a verdict — investors are unsure Zuckerberg knows where he is going, particularly with the idea of renting out computing power, which Saccocia points out is not remotely the advertising business Meta actually knows how to run.
Apple had its best week since mid-July as reviews of the folding iPhone landed. Lebenthal thinks the move is a delayed reaction to the launch and that the buzz arrives just in time for the holiday quarter — he is even considering buying the $2,000 phone himself.
He still will not buy more of the stock. At 34 times expected earnings, the price already assumes the good news; his own history says Apple has been a buy in the low 20s. He is not predicting a fall — "it may not revert back" — he is saying that as a value-driven investor he cannot justify new money here, and he backs that with an action rather than an opinion: he sold at $330 before the last report and wants below $300 to return, partly to cover his clients' tax bill on the gain.
Anthropic is a private AI lab (Altimeter, Gerstner's firm, is an investor). The week's controversy began when a researcher who had worked at both Anthropic and OpenAI resigned publicly, saying neither company is acting responsibly and that people building AI believe it could kill everyone by the end of the decade.
Gerstner's rebuttal is partly about the messenger — six weeks at the firm — and partly substantive: Anthropic had just published a 154-page report on attempts to misuse its systems, including blocked bioweapon research and a group in Yemen trying to use Claude for missile development. He reads that as proof the safety systems work and that the company is unusually transparent; Wapner reads the same document as evidence the danger is concrete rather than hypothetical. The report also disclosed large-scale "distillation" by Alibaba — copying a model's capabilities by training a cheaper model on its outputs.
OpenAI is the other private lab at the centre of the argument, and also an Altimeter holding. Gerstner uses Sam Altman's stated openness to slowing development and to mandatory national safety rules as evidence the industry polices itself, contrasting it with social media's leaders, who never volunteered anything similar.
For investors the more concrete points are two. First, OpenAI is a large share of Oracle's roughly $700 billion order backlog, so one customer's fortunes sit inside another company's valuation. Second, both OpenAI and Anthropic are expected to file S-1s — the public registration document a company must publish before an IPO, containing real financials for the first time. Harrington expects those filings to be a genuine market event: if the numbers disappoint even slightly, the read-through to everything priced off the AI build-out "would be pretty painful."
CoreWeave is a "neo-cloud" — it buys Nvidia chips with borrowed money and rents them out to AI companies. Harrington uses it as the counter-example to Oracle when she explains where the real risk sits.
Her point is subtle and worth keeping: AI does not have to collapse for these businesses to break. It only has to "contract at the margin" — a modest slowdown in demand — because the debt payments do not slow down with it. And her screen is not the valuation but the management: energy and property companies have run big, long-dated debt loads through cycles and know how to handle them, while the newer AI borrowers have never done it once.
Summary derived from the public CNBC Halftime Report audio episode (transcript in transcript.txt, read from the Spotify transcript panel in a single pull after disabling its content-visibility virtualization) for personal study. Not investment advice. © CNBC for source material.