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2026 Predictions with Dan Ives and Chris Verrone | The Real Eisman Playbook Episode 40

Dan Ives says the AI buildout is still in its early stages, while Chris Verrone sees 2026 leadership shifting toward real-economy stocks.

The Real Eisman Playbook · Steve Eisman

The best minutes

  1. 8:51AI adoption is early, but power and scaling remain constraints5 min
  2. 28:13Housing affordability depends on local supply barriers3 min
  3. 40:22Software incumbents may retain value through installed bases3 min

Also worth watching

  1. 21:04Oracle’s credit signals may overstate its financing risk7 min
  2. 43:05Pharma and biotech may lead a historically underweighted sector3 min
  3. 58:59Verrone expects a 2026 shift toward real-economy stocks3 min

Skip the opening year recap, Tesla’s autonomy debate, sponsor reads, and the later Fed-cut and AI-model discussion.

Full analysis · 6 min read

Real Alpha · Nov 8

Dan Ives says tech stocks will rise more than 20% in 2026

  • Ives expects technology stocks to rise 20% plus in 2026.
  • His 3% U.S. adoption figure suggests runway, not proven returns.
  • Power constraints, diminishing returns from scaling LLMs and a possible real-economy rotation test that call.

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

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1:01:27

Ives expects technology stocks to rise more than 20%

Dan Ives expects technology stocks to rise 20% plus in 2026. He says second, third and fourth derivatives could drive much of that gain.

That is a clear market call, but not a forecast for every AI supplier. Ives names Microsoft and Oracle as possible large-cap outperformers, with Apple as a potential new AI leader.

But the prediction bundles different bets. It needs enterprise software adoption, infrastructure spending and a new Apple AI contribution to deliver together.

For example, the Apple exchange describes the company as having no AI component at this point. Ives points to a Gemini partnership as a possible catalyst, not a demonstrated return.

“tech stocks are going to be up 20% plus”
1:01:27

Our read

Treat the 20% figure as Ives's forecast, not a base case for every technology company. Its usefulness depends on which businesses capture the spending.

11:04

Three percent adoption supports runway, not proof of returns

Ives says 3% of U.S. companies have gone down the AI path. He puts Europe at zero and Asia outside China below 1%.

Those figures suggest room to expand, but the episode gives no definition of adoption. A pilot, a paid deployment and a workflow with measurable value may count differently.

Cal Newport made a useful comparison on Prof G Markets in October 2026. He described heavy enterprise investment, but mixed returns, with many efforts still experimental.

That does not disprove Ives's early-stage case. It exposes the missing step between companies trying AI and spending producing durable returns.

Sundar Pichai made the demand-side case on Sources in October 2026, pointing to demand signals, improving models and committed contracts. Those support continued investment, but do not establish returns across buyers.

Satya Nadella said on 20VC in October 2026 that firms should retain value created through their data and usage traces. That is a value-capture requirement, not evidence companies have already captured it.

“3% of US companies have gone down the AI path today”
11:04

Our read

The adoption statistic supports an opportunity, but cannot carry the forecast alone. Buyers should separate experimentation, production use and measurable business results.

12:07

Power constraints can delay demand without defeating it

Steve Eisman names two risks to the buildout, power availability and diminishing returns from scaling language models. He cites two Santa Clara data centers that cannot connect because the utility cannot supply power.

Ives agrees energy is the biggest constraint, while arguing enterprise uses extend beyond language models. Both points can hold. More use cases do not make grid connections arrive sooner.

Scott Galloway later described the bottleneck as having moved from chips to electrons on Prof G Markets in October 2026. That echoes the episode's constraint, not proof that AI demand has weakened.

Verrone points to energy, metals and commodities as possible inputs to the next phase. He also lays out competing readings of commodities' rise, including cyclical demand, resource nationalism, currency debasement and AI materials.

Those competing explanations make commodity prices a noisy test of AI demand. For example, a data center under construction is not yet a powered, productive facility.

A buyer's deployment plan and a supplier's order book therefore need separate checks.

“The biggest constraint is energy.”
12:07

Our read

Infrastructure is a timing risk as much as a demand question. The episode offers no power timetable, and Ives's adoption argument does not resolve that gap.

24:01

Oracle's credit signals do not settle its financing risk

Ives calls Oracle a major AI infrastructure opportunity and says concerns about its OpenAI commitments have gone too far. He is identified with Wedbush and discusses technology and AI, but gives a plainly bullish stock view here.

Eisman offers a narrower counterpoint. Oracle credit default swaps can move sharply in a thin market, so wider spreads may overstate what debt investors think.

But thin trading does not establish that Oracle's financing or construction risks are harmless. Ives does not provide an independent check on project timing, funding costs or OpenAI's ability to meet obligations.

Dylan Patel made that distinction more pointed on Big Technology Podcast in October 2026. He discussed fixed-margin OpenAI deals alongside higher GPU prices, debt concerns and data-center delays.

For example, a customer contract can secure demand while leaving the infrastructure provider exposed to costs and delivery. That is why credit-market noise and operating economics need separate tests.

“this has gotten way overdone”
22:24

Our read

Eisman's liquidity explanation weakens one bearish signal, not every risk behind it. Oracle's demand story and its ability to finance and deliver capacity are separate questions.

59:12

Verrone sees a real economy handoff, but price action leads

Chris Verrone expects a first-half 2026 shift from speculative assets toward transports, regional banks, housing, chemicals and commodities. He treats Bitcoin's weakness as a possible early sign, not a confirmed rotation.

His case relies heavily on charts and relative performance. That can signal changing investor appetite, but it does not show that demand or earnings have already turned across those industries.

Eisman says U.S. housing affordability is local, citing permitting rules, impact fees and restrictions on smaller homes rather than mortgage rates alone.

Morgan Housel also tied housing constraints to permitting on TBPN in July 2026. His Levittown example showed how building at scale once helped meet demand.

But neither chart strength nor a permitting example confirms the full sector rotation. Verrone links commodities to possible AI inputs, while transports and regional banks could reflect a broader recovery.

“this handoff in the first half of 26”
59:12

Our read

Verrone offers a credible alternative to concentrated technology leadership, but his evidence is early and price-led. Housing remains a test of local policy, not just rates.

1:03:03

Teams should budget against milestones, not the 20% call

Ives says, in his view, the technology bull market has at least two years left. Eisman agrees demand is there, but says energy delays and diminishing returns from model scaling could alter the path.

The host and guests discuss rates as another risk, including moves in Germany and Japan. They do not establish a firm path for U.S. yields.

For operators, the useful discipline is to tie AI budgets to delivered use cases. Track whether a project reaches production, whether power is available, and whether results justify its continuing costs.

But those are execution measures, not proof that technology stocks will meet Ives's forecast. For investors, his favored names are distinct exposures.

Microsoft's enterprise position, Oracle's buildout and Apple's prospective Gemini partnership each depend on different execution milestones. More adoption may sustain spending, but monetization and reliable infrastructure must turn that spending into returns.

Our read

Use the forecast to frame scenarios, not to set a spending target. The observable milestones are deployment, power, cost and value captured by the buyer.

What it means for you

  1. Define adoption. Write down what counts as an AI deployment in your company. Separate pilots from production workflows and from workflows with measured results.
  2. Gate infrastructure spend. For each AI project, track power availability, delivery timing and ongoing costs alongside expected demand. Revisit the budget when those milestones slip.
  3. Measure realized value. Choose one business result for each deployed use case, then compare outcomes with the cost of running it. Do not treat usage alone as ROI.
  4. Stress test the rotation. Compare your 2026 plans under continued technology leadership and under Verrone's proposed shift toward real-economy sectors. Note which assumptions change.

What to watch

  • Whether enterprise trials become production deployments with measurable returns.
  • Whether data centers secure power and language-model scaling continues to justify compute spending.
  • Whether transports, regional banks, housing, chemicals and commodities gain leadership in the first half of 2026.

Send this to your CFO and infrastructure lead.

1:01:27

Watch the minute where Ives gives his 2026 technology forecast.

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. 6:50AI monetization remains the key test

    Ives says investors worry about whether AI revenue will arrive quickly enough to justify the spending. Eisman raises concerns about power shortages and diminishing returns from scaling language models; Ives counters that enterprise adoption is still early, citing his estimate that 3% of U.S. companies have pursued AI.

  2. 15:33AI creates second-order investment plays

    Ives looks beyond major AI providers to software, cybersecurity, data centers and power, naming Palantir, Snowflake, CrowdStrike, Nebius and GE Vernova. Verrone says benefits may also reach users of AI and memory makers such as Micron, Samsung and SK Hynix; he sees commodities as possible inputs to the buildout.

  3. 21:04Oracle faces a test of confidence

    Ives says investors overstate the risks from Oracle’s debt and its commitments to OpenAI, and calls Oracle a large-cap favorite for the coming year. Eisman says Oracle credit-default swaps trade in an illiquid market, so wider spreads alone may not reflect broad bond-market views; Verrone says investors should hold market narratives lightly.

  4. 28:24Housing remains weak

    Eisman and Verrone say rates have not revived housing. Verrone says homebuilder stocks need to turn up from support for housing to have a chance in 2026, while Eisman argues affordability depends on local fees, regulations and approval delays as well as interest rates.

  5. 30:41Tesla depends on robotaxi execution

    Eisman questions Musk’s credibility on robotaxi delivery, contrasting a promise of 500 autonomous vehicles in Austin with 80 in service, and says Tesla’s EV business is struggling as subsidies have ended. Ives sees autonomous driving as a pivotal chapter and expects Tesla to reach 30 cities within a year; Verrone says the stock’s chart supports a higher direction.

  6. 40:22Software may be ready to turn

    Ives says software companies’ installed bases and their own AI products could help them withstand disruption, and expects more software mergers, especially among mid-cap firms. Verrone says the software-versus-semiconductor ratio may be bottoming and points to early improvement in Salesforce and Snowflake.

  7. 43:05Pharma and biotech could lead healthcare

    Verrone says healthcare may be turning after its weight in the S&P 500 reached a 25-year low. He points to Lilly, Intuitive Surgical and Natera, sees pharma and biotech as potential 2026 leaders, and says he would not bottom-fish health insurers because their long-term trends remain broken.

  8. 46:23Defensives and private credit draw attention

    Verrone says consumer staples have been left behind, though he sees better price action in Coke, Hershey and Estée Lauder; he is not yet calling them next year’s leaders. Eisman says concerns about private credit lack supporting data and notes that Tricolor and First Brands, cited as warning signs, did not originate in private credit.

  9. 53:22AI value may come from use cases

    Ives says the AI market may have a few leading models, but that value will come from data and applications rather than the models alone. He names Google, Microsoft and Palantir as favorites, and says Palantir could reach a $1 trillion market capitalization in two or three years.

  10. 58:59Real-economy stocks may gain leadership

    Verrone expects a first-half 2026 handoff from speculative areas to transports, regional banks, housing, chemicals and commodities, some of which he sees as AI-related beneficiaries. He says Bitcoin’s weakness may signal a move away from liquidity-driven, high-beta assets and toward assets with carry.

  11. 1:01:18Ives expects technology stocks to rise

    Ives forecasts gains of more than 20% for technology stocks and highlights Microsoft, Oracle and Apple, which he says could benefit from its Gemini partnership. Eisman flags energy and language-model scaling as risks, while Verrone says a stronger economy could push the 10-year yield back to 4.5% and unsettle speculative stocks.

Published Jan 5, 2026.

Transcript · 54 min read

The Real Eisman Playbook, hosted by Steve Eisman, with Dan Ives and Chris Verrone.

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. Hi, this is Steve Eisman, and welcome to The Real Eisman Playbook. And here we have two great guests today, Dan Ives of Wedbush, Chris Verrone of Strategas, who is the market strategist. And we're going to do a year-end review we're going to talk about next year, because there's just not that much to talk about. so let me give you each an opportunity let's let's we'll do predictions later let's just chris you're the market strategist strategist give us your view of this absolutely insane exhausting year before we get to just how insane and the ups and downs and the twist in terms of the year were let's also first start by just saying how consistent a few things were throughout the course of the year and really have been so consistent for two or three years the premise of our call for two years has been, so long as banks are involved and so long as credit is calm, the trend of the market's probably still up. And if you look at what's continued this year, all the bank stocks that- continue to work. Credit conditions have remained remarkably calm. I think until those change, we would be reluctant to kind of move away from the bull call here. Now, put this in context of what was a very nuanced year from point to point. Now, you entered 2025. Expectations were high.

  2. Trump had just won. Animal spirits were running wild. The bar of expectations was set high. And that kind of moved us into the April tariff disaster. I'll never forget, we held a conference call that Sunday night after the big down move that Thursday and Friday. Right after Liberation Day. Right after Liberation Day, April 7th. Think about what could go right from this condition. Right. I mean, we were down 20 plus percent relatively quickly on all the major averages. 19 percent point to point. I mean, sentiment went from euphoric in January to absolutely rock bottom. In our own sentiment composite, you were in the second percentile historically. You think about what can go right from that condition. And I remember being on your show, Steve, in June or July, talking about a market that was up 25% over three months, yet bullishness was still hard to find.

  3. So here we are now, three, four, five months on from then. And just think of how the narratives have shifted so many times. And Dan, this is certainly in your world, but from January of deep seek to April of tariffs to, you know, chat GPT, you're going to eat Google's lunch to Google's eating everybody's lunch. Think of how the narrative has changed. And then in my world, what hasn't changed? Banks have been involved. Credit's been calm. Ten-year yields have been really stable. Remarkably stable. Remarkably stable. Okay. Dan, take it away. Give us the year from your perspective. Because it's been so boring for you.

Read the whole transcript
  1. Oh, my God. It's like, you know, it's funny. Like, you know, doing this since, like, late 90s, you know, there have been certain years where they're just you know that you feel like they're just much more crazy than others i think this is like a top two or three crazy year that i've had my career part of it goes back to like on one hand the ai revolution were it's year three of a 10-year build-out cap backs you start off in the beginning of the year everyone's that go to the deep seek moment which ultimately ended up really being essentially fit you know you got to add two commas to what they spend and those are essentially stolen NVIDIA chips.

  2. But the reality is that... Say that again. I don't think everybody's aware of that. If you go back to DeepSea, because a lot of times people be like, how come no one talks DeepSea? Because instead of spending $6 million, they were spending $600 million in reality. and the chips they were using were essentially stolen NVIDIA chips through Singapore. I mean, that's the reality, right? So when everyone's like, how could DeepSeek do it with two matches, a dollar, and like a bag of McDonald's? And a tent. And why would these companies be spending $300 billion? I'm like, dude, that's because that's a Cinderella story.

  3. I mean, if you want to believe that. So I think the thing is that took time to manifest. Big tech then had a double down, CapEx, Nadella, Davos, we're good for our $80 billion, the whole thing. Then obviously, like, the spending, I mean, the spending was, you know, I'd say probably 20%, 30% more than we expected. You go to Liberation Day, I'd say the same thing. That was probably, like, maybe a handful of times in my career, that was, like, a moment of, like, potentially economic Armageddon, just because knowing that that was going to cut the tech trade at its knees. And for the first time in 30 years, the U.S. is ahead of China when it comes to tech.

  4. And that was almost like an emotional time because for me, so many times you're in Taiwan, China, see 18 hours in a fab, all the innovation technology. Land in Newark Airport, there's a fistfight, the Dunkin' Donuts, and then you're like, dude, there's a reason how far behind we are. The reality is first time we're ahead in terms of U.S. tech, circular financing, going from good to bad. Google New York City cab drivers bearish on the stock going into this year. Oracle good, Oracle bad. It's the only MAG 7 stock actually outperforming the S&P this year. I believe it's Google. But go back. If we sit here a year.

  5. By a lot. By a big number. It's up over 60%. Yep. Remember a year ago, they're going to get broken up by DOJ. Better chance of me playing for the Knicks. Then the reality is like AI. I wouldn't go that far. You never. Impossible. Who knows? Then all of a sudden AI eating their lunch. search is going to be done. They're behind. Now you look at Gemini. So it's get the popcorn out. It's going to be, you know, obviously a lot of ups and downs. So right now, what would you say are when you're talking to investors on the tech trade, what are the big concerns that you're hearing from people? The big concerns and, you know, and you hit on some of them, but the big concern is just, you know, the spending's there, the capex is there. The question is like, when's monetization of AI going to happen? Is it going to be quick enough that investors are not going to be like, white flag, you got to stop spending and become self-filling profits?

  6. The data center build out, the OpenAI, too big to fail trade, is that almost like a centerpiece? Are they good for their bills or whatever? And that's why I think the reality is like it's easy to get fearful if you're in the 30th floor of a New York City office building or Metro North. But for someone like myself, three and a half million air miles in the last 25 years, seeing it front and center, you have a much different view in demand and supply for NVIDIA chips are 12 to 1 in Taiwan. on. And Dan, I think two things can be true at the same time, right? Some of these stocks that had remarkable runs over the last couple of years can have 20, 30, 40% drawdowns, and everything you're saying could still be true. And I think we need to separate that a little bit. Oh, I totally agree.

  7. You know, there are some names that I would say are on the periphery of the AI story, which were once viewed as AI darlings, which actually, as you know, Steve, have not made any progress now all year. I'm thinking of a name like Eaton, right? That was viewed as very much in this infrastructure build out um it was up sharply off the april lows but it's actually point to point unchanged i think april of 24 right that's a long time for something that you would consider one of these darlings to be uninvolved well the problem with eating just a little pushback is they have other businesses of course and so it's it's not as pure an ai trade they've got legacy businesses that aren't doing as well but when they were viewed as part of that ai trade all right and to your point part of the problem too is that just because you say ai 30 times in a conference call. It doesn't make you an AI player. So investors, too, is trying to decipher who are the winners, who are the frauds, the fake ones, and I think that's the other thing.

  8. So let me push back a little bit on the AI trade because I'm pushing back more academically than

  9. Dan Ives · 5 min

    “3% of US companies have gone down the AI path today. In Europe, zero.”

  10. And I think also you – I think you do particularly an awesome job where sometimes like from a macro and summarizing it in a way that also – it also dovetails into a lot of the themes too. Well, like what are the super themes, right? So we could look at this move in commodities and you could come up with three very different answers.

  11. By the way, I was watching CNBC today and they were talking commodities and the commentator was – all he was talking about was that this is a contrafear currency trade. Like the basement of the dollar by commodities and with absolutely nothing about AI involved. So let's think about why here for a moment. So you could say commodities are turning up here because there's some cyclical signal. The real economy is getting better. I'm OK with that answer. You could say commodities are turning up here because we're in this geopolitical resource nationalism. OK, that sounds reasonable as well. You could say commodities are turning up here because of this debasement trade.

  12. Maybe, maybe not. You could say they're turning up here because they're the raw material necessary for a lot of the stuff that you focus on, Dan. And I don't particularly care which is the correct answer. I think the stocks are blunt instruments. Any one of those could be right. I don't think Rio or BHP or Freeport is going to distinguish what is the correct reason why. Do you view like Rio as like an AI, like a third, fourth – You're talking Rio Tinto. Yeah, do you view like some of those as like third, fourth derivative AI trades? Yeah, I do. And I think you could actually start to view some of the energies in that – that capacity as well. I had a fascinating conversation last week with a gentleman who's one of the biggest players in the physical delivery crude world. Of crude? Of crude.

  13. And I was pressing him a little bit on, you know, help me understand why the oil chart looks so bad, but actually the E&P names are all getting better. And he's like, well, it's simple. AI is making the geological survey so good that the breakeven of crude is falling. So that's good for the stocks not bet for the stocks so you know there's this really yeah so you know that's crazy and i think dan like you know maybe 2.0 or 3.0 here if we're talking about a general purpose technology the the winners of ai are who all the benefits accrue to of course and that's probably what's on the come here then there's a whole trade about like you see my whole view is like like our whole thing is like in our lives etf which is like the second third fourth derivatives of AI, because it's not just about, in 2020, 2024, it's like, own a godfather of AI, Jensen, own a video, Microsoft, Palantir. Now it's about how do you play the derivatives, infrastructure, Nebius, some other names like that. So give us some derivative trades that you're focusing on now. I mean, to me, like derivatives, first off, like in software and Palantir being our number one. But I think I look at names like Snowflake and MongoDB that are really the use case software

  14. names. As these use cases get deployed on the enterprise, I think there's going to be huge plays. The protection of it, I think the area that's getting overlooked is cybersecurity. I look at CrowdStrike, Palo Alto as huge derivative trades on the cybersecurity side of the AI piece. And then from an infrastructure perspective, like Nebius is a name that we're super bullish on, you know iron iron i-r-e-n in terms of a name that's a power play it's also on crypto but that's a name i think's going to be a data center power play g vernova is one of our favorites i mean we're we're now at a point now where it's like all we're doing we're trying to spend our time figuring out whether it's the microns wearing semis wearing software to to play the the ai revolution chris what are you thinking you know it's funny when i look at what we've in our own etf um it's kind of evolved from the traditional pure play ai stocks again to more of the derivatives could banks be a derivative here of right like when you think about this one out of here. When you think about the organizational efficiency that some of this stuff in an industry that's been organizationally inefficient for much of the last 20 or 30 years. So you just start going

  15. industry by industry and you begin to wonder who are the benefits really accruing to right now. And look at the strength you're beginning to see. Now it's nascent, but I think it's beginning to happen in some of these consumer stocks, right? Again, the users, not the producers. I have found it notable all year kind of some of the analog summits that frankly outperformed a lot of the traditional ai ones i mean look at the micron numbers today we sit here on oh my god right i mean this is a stock that's already doubled from from where it was a couple months ago we've seen what samsung has has done this year we've seen what hynix has done this year and it's amazing when you meet with like like when you're in korea like sk high and like especially like in asia so many of them it's a memory play i mean i think this is a memory super cycle now i i think the tricky part here is trying to get an understanding of when the bar is being raised too high on the speculative side of the economy. At the same time, when you look at some of the parts of the real economy, whether it's consumer sentiment, that are very, very depressed. It's this very odd environment. I've been saying it's a K-shaped economy. Your area is rock and roll

  16. exciting. And then you talk to people who cover consumer staples, housing, your traditional consumer stuff, and it's depressing. Oh, it's depressing. And you see, I think the UMICH Consumer Sentiment Survey is in the second percentile of the 40-year range or something like that. Now, ironically, that's actually where you should be buying consumer stocks, as silly as that sounds. The excess returns from that conditions are generally pretty good. But it's this very, very bizarre sentiment framework where the speculative fever has been there for much of the year. At the same time, all the real economy stocks, which I think are getting better here, is where sentiment is probably most depressed. We'll come to that. Hi, Steve Eisman here. The most successful businesses in the world share one secret. They know exactly where every dollar goes, what to cut and where to double down. With Ramp, you can see exactly what's happening across the business in real time. RAM combines corporate cards, expense management, bill pay, and travel in one platform. You set spending rules up front, and RAM, corporate cards, block any out-of-policy spend before it even happens. That's why some of the most valuable businesses.

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  19. I think what people forget is that final six months where I think NASDAQ doubled in the fourth quarter of 99, 10-year yields went from four to almost seven, right? That's a big move. Into the Nikkei peak in 1989, JGB yields went four to eight in 1989. So, I mean, 10-year yields have just gone 390 to 415.

  20. Steve Eisman · 3 min

    “The problem with affordability in the United States is local. It's all local.”

  21. investors going into 26 you're either on especially in tech you're either on this side or this side i'm saying like bull or bear it's a very divisive bull bear debate interesting in

  22. terms of what's happening so let's talk about something divisive tesla okay so so here i have I have no skin in this game, okay? And I never have. I was short to stock years ago, got my head handed to me. But my problem is I just don't trust Elon. I don't trust what he says. I mean, example. He said a couple of conference calls ago that he was going to have 500 autonomous vehicles in Austin. He's got 80. So, you know, the basic business, the electronic vehicle business, that's not doing well. because the credit, all the government subsidies have gone away. That's bad. Robotics is on the come. EV, electronic vehicle, autonomous driving is on the come.

  23. To me, it's all hype. And until I actually see that his robotaxes really work autonomously, I'm on the sidelines. You tell me what you think. so look and obviously like for me you know knowing musk you know from the early days and being such a believer in tech there were so many times where like things like they were a year and a half late 2018 you could argue like you know they were on the verge of like a bankruptcy or pseudo bankruptcy my view is like musk right now is is a wartime ceo like what does that mean what that basically means is that he's so laser focused almost like in a wartime but wartime being the battle versus other attack and you know the competition that he understands that this autonomous chapter robo taxis it's going to be the most important chapter ever in tesla's history and to your but i understand the skepticism but i believe we city are a year from now you're in 30 cities the geofence area significantly expands you're basically at level okay so let me push back imagine that that does not happen that that a year from now or within every time frame that It's important.

  24. We're basically where we are today. What do you think then? Then that would be, I mean, that's like a bear thesis. Like that would be one way. That's the bear thesis. The stock's like a whatever, sub $300 stock, if that happens. I think it's $600 to $800 because they. Because you think it happens. It's binary. That's my target too. And Steve, I think the problem here is you lay out this very elegant reasoning, which may very well be true of why none of this stuff plays out, yet one problem, the chart looks great. And it's probably the best chart of the Mac 7 at this point. So if I'm going to kind of lean on narrative or lean on price action, I'm always going to choose price action.

  25. So the price action is encouraging me to be more imaginative about what could happen over the next year or two years. And whether it's 600 or 800, I'll take either. But I think the direction is higher. Just because of the way the chart looks. Yeah. It is emerging as the leader in Mac 7. And I would just add to your point, like, when it comes to physical AI plays in the world, there's NVIDIA and Tesla. Those are the two best physical AI. What do you mean physical AI? What I'm saying, like, instead of, like, when you talk about just traditional AI, like, software, use cases, LLM, physical AI being, like, robotics, car.

  26. I'm talking about physical, actual AI, and you look at what everything, like, NVIDIA is going after, like, the robotics. Look at Fanuc in Japan. I don't even know what that is. Japanese robotics. I mean, you want to see a pretty chart? Go look at a 20-year chart of Fanuc. This is the real deal. Okay. Human robotics in Japan and in China is ahead of where we are in the U.S. Let's switch. gears for a sec. Let's go to financials for a bit. Tell me what you're thinking. I mean, the charts look great. What are you thinking here? Here's what I'm thinking. And by the way, what's very interesting about just the whole financials group, the banks are great. Insurance looks like- It's getting better. I mean, it ain't great. Payments looks awful. Payments have been terrible for a while. And so it's real. I mean, when people are focusing on financials right now, it's Goldman, it's Morgan Stanley, and maybe some of the, and maybe the regionals, because maybe in this M&A, but tell me what you're hearing.

  27. Goldman Sachs is behaving as the old Goldman Sachs, is certainly what the chart implies. I mean, this has been the leader in financial services now for two years. I want to focus on Bank of America. Okay. Spent 20 years in the confessional booth, right? BAC last... And confessing. And the whole time. Many sins to repent. Many sins. The last high in Bank of America was November of 2006 until this week. This week. November 2006. Until this week. By the way, Citigroup will never get there. Because of the dilution. Because of the dilution. By the way, do you know this? Yeah. The high in Citigroup is like 550.

  28. It's unachievable. In our lifetimes. Never say never, but it's like- And that's because of the dilution. So I want to think about this. For 20 years, these money center banks have had their hands tied behind their back as they repented of the sins of the financial crisis. Yes. I think that's over. We are in a deregulatory regime here. To a degree. I mean, we're not going anywhere close to where – back to where we were in 2006 in terms of the leverage. And maybe nor should we. We should not. But it's – but some of the handcuffs are being taken off. And these companies – by the way, these companies are much, much, much better run than they were.

  29. It's not even a comparison. Let's remember something though. It can't just be a deregulatory story. story because it's happened in Europe. It's happened in Japan. It's happened in LATAM. Find me a bank stock in the world that hasn't made a new 52-week high in the last couple of days. Good luck. You're not going to find any. So there's something global here. It's been the case for two years. It's largely gone unnoticed, unobserved, unembraced. The financials are still very much leadership. Now, talk about some of the laggards within the sector. I actually think insurance might be inflecting back up here. You had Chubb breakout this week. You have AIG acting better, but focus on some of these alternative private capital stocks. You have very deep corrections. Huge.

  30. Huge corrections. In Apollo, in Blackstone. By the way, it's so unusual in a bull market for these companies like Blackstone and Apollo to be down on year. They're down 10%, 15% on the year. After an incredible run. And have to be down even more. Now, I think from peak to trough, they might be down 30% or 40%. Those are pretty deep corrections for stocks and long-term uptrends. So if you wanted to kind of poke around and say what could be a surprise next year relative to consensus, I mean, people got very bearish on these names in that October, November growth scare. Remember all the credit concerns?

  31. Tricolor, first brand. Jeffries. Yes. People got very, very – But by the way, Jeff, people got so hysterical. I got calls over one of those weekends that Jeffries was filing for bankruptcy. It was crazy. The irony here is Steve is probably partly to blame that everyone in this business thinks anything idiosyncratic has the potential of being systemic. Oh, people want to predict the end of the world. Most things remain – By the way, I have a joke about that. The problem is that there's so many people in this world who want to be me. Yeah. And you know what? The position is taken. Yeah, the position.

  32. There's only one. There's only one. And you know what? I'm not interested in predicting the end of the world anymore because believe me, it was no fun the first time around. Yeah. Oh, my God. But you look at these global financials and you know what's remarkable? Wells Fargo, which is often considered like the weakest of them, actually made new highs before most of them a year ago, right? Goldman and Morgan Stanley two years ago made new highs. Bank of America finally in on the act. This is a $55 stock today. I don't think it's a $55 stock next year. What is? BAC, I think. BAC, are you thinking?

  33. I think 75 is a conservative target. Interesting. We could get more aggressive if we wanted to. You know, people got really down on Brian Moynihan and they forgot. I mean, he was handed from Ken Lewis, like, disaster. I mean, he needs to be admired to a degree that he actually fixed the company. What he's done is amazing. And guys, don't sleep on these regionals as well. I mean, curves – So let's talk about the regionals. I've had this thesis for a while. People thought I was crazy at the beginning of the year, which is we have not had a bank M&A wave in this country since the 90s. I know. And it's been completely discouraged by the regulators.

  34. And it's actually, I've actually, I completely changed my mind about this about a year and a half ago, two years ago, that we actually need a bank M&A wave because it can't be that only J.P. Oregon and Wells Fargo are going to be able to afford all the tech. You got to merge these banks and make them larger so they can afford to compete. And this administration, I think, is on board with that. And the fact that Comerica finally put its shareholders out of its misery is an indication, I think, what could potentially happen. So I think if you want a surprise for next year, I mean, for two years, it's been the money centers over the regionals. I would entertain the idea that 26 is more about regionals over money-centered banks in terms of where the leadership is found in an otherwise very healthy banking system. You mentioned Comerica. I mean, this is just finally getting back to highs that haven't been seen in 25 or 30 years.

  35. If that. If that. I mean, I think about PNC just broke out. Regions just broke out. I mean, there's a lot of these. Steeper curve probably helps. You quietly have seen the 230 curve go right back to the highs here. To me, that's a pretty constructive backdrop for these regional banks. Hi, Steve Eisman here. The best pieces in your closet are the ones you can count on, whether you're heading to work, going out, or keeping things casual. And this time of year, Quince makes finding something great for everyone else just as easy. This holiday season, it's where I'm shopping for myself and everyone on my list.

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  39. Dan Ives · 3 min

    “But they have massive install bases. They're building out their own AI suites.”

  40. Chris Verrone · 3 min

    “The foundation of my health care call is the sector got to a 25-year waiting low in the S&P 500.”

  41. what do you you know i gave it i gave him see like my like in my first and yeah when you have like morning meetings or whatever it would be like tech and then some of the other like you know it's like because just from a from a you know interest perspective you have investors that are like real estate investors REITs and now they're like well maybe i could kind of focus on some of these like quasi sort of like tech related REITs so what's been left for dead this year It's just a review.

  42. Like what's – we focus on what's done well. Anything defensive. Let's focus on what's done poorly. Anything defensive. Don't give me a list. Left for dead. So if we're talking about consumer staples as an example here, I would encourage people to start paying attention to Coke here, quietly acting better. Hershey's is quietly acting better. I mean Estée Lauder's probably turned here in a very meaningful way. Maybe they're trying to read on that name. But staples roundly have been left for dead. Am I ready to say that they're going to be your leadership next year? I'm skeptical of that, but listen, I know I don't know.

  43. I want to be open to where the prices and the markets take me. Price action. I certainly don't think that would be impossible, particularly into a midterm election year where you have tended to see a defensive leadership fabric anyway. So I'm alert to that for next year. I'd say the other place kind of left for dead and we hinted at it is some of these private capital, private credit stocks, the Apollos, the Owls, the Blackstones, which, I mean, they were incredible for so many years prior. They had a bad 2025. I wonder if that's past it at this point. Well, my view on that is, first of all, the two sort of what people are calling canaries in the coal mine, which are tricolor and first brands, actually did not originate in private credit.

  44. Those are public credits. But they're viewed as like, you know, what could happen? I actually think that, I mean, for those who are negative on private credit, the simple argument was that in 2020, private credit was $2 trillion, and today it's $3 trillion. So that's a lot of trillion. It's a trillion. And if you want to make an argument that there's bad stuff in there, you can make that argument. The problem is that you have actually no data to back it up, because it's not like pre-great financial crisis, you could look at the monthly securitization data, you could see what was happening. Here, there's no information. So it's pure conjecture.

  45. My view is that whatever has happened in private credit is not going to cause a recession, but that when there is a recession, whoever made mistakes is going to get shown. But I don't see at this point a recession on the horizon. So I don't see what the issue is. I mean, I think if anything, the market seems okay with the idea that we're through a soft patch. right so there was a confident hit in the spring around the tariffs it showed up in weak data in 3q and 4q i think the market's anticipatory of an economic turn here i think the discretionary stocks are suggestive of that i think the commodities are i think the transports all these real economy signals might say hey the the risk in 26 is right tail risk not not left and i think what we were talking about for two is like what's amazing is like i can never remember a market where narrative changes could be so dramatic week to week like that's the one thing that's like crazy about this market you could the narrative changes so quick I was traveling basically like you, basically since Labor Day until last week, right?

  46. And in October and November, going from Jefferies to First Brands to you had that day where Trump set the tweet about the Chinese and the market was down 3% from that. And then Sunday, B.C. I didn't mean it. Remember, Friday, after some golf Sunday, I'm good to go. To the NVIDIA reversal day on the earnings in November, watching in real time, being on the road, watching sentiment erode. And what gets revealed is how fragile sentiment still is. And it doesn't take a lot to shake the tree. We were down 5% on November 20th from the highs. And the narrative was suddenly, oh, my God, the Fed's going to skip the December meeting.

  47. The economy is much weaker than we think. Think how quickly the narrative shift. It's wild. Basically, on that point, I agree the economy is probably better than people think. And I don't think the Fed's going to be so quick to cut. But then again, we don't know who the next Fed chairman is going to be. We don't. Listen, the two-year yield, I've joked and I've – sometimes this joke gets laughed, sometimes it doesn't. But who needs Fed speakers when you have the two-year yield, right? And what's the two-year yield? 346. Right. Where it's been for five months, somewhere between 340 and 360. That's probably where the market believes the neutral rate should be.

  48. Whether that's two cuts next year or one cut next year, I don't think it's terribly different. Getting to that point. So that means that at most over the next year or two, there's two Fed cuts. That's not the narrative of the market. It can't be because if – Do you remember how many cuts were priced when we started this year? No. Six. Six. How many did we get? Three, right? If you told anyone in January, hey, you're not getting six cuts, Dan. You're only getting three. Oh, my God. S&P is going to be down 20%. So that comes to my point. I actually think that because the Fed is not in an aggressive cutting mode, people's sort of hyper-focus on it is kind of a waste of time.

  49. That what's happening in your world is what's important. If the AI keeps going, it'll be fine. Think how quickly, like, if you even go back, like, you have the Oracle, whatever, Blue Owl pulling out, Data Center, Michigan, whatever it is. Then all of a sudden, Mike Brown reports, like, it's like, okay. One day later. It's almost like Ted Stryker flying the airplane, like, everything's fine. You know, and I think that's the thing. It's just. It's like you see the nervousness of some of the trades. But it just continues to be like you have $3 trillion to $4 trillion being spent the next two or three years.

  50. You're in a fourth industrial revolution that we happen to be living in. To have a view that this is an AI bubble, we're just in the early days of the demand cycle. What do you make of the view? I've thought about this. I'm curious your take that if you go back to the 99-2000 experience, the gains in productivity didn't really show up in the data until after the NASDAQ had peaked. Do you think about that today? I mean, I view it as like the use cases are all starting to get deployed in enterprise, in consumer. And I actually think this is one where like we're still in the software use case phase.

  51. So my view is like we don't – it's a tech bull market for, in my view, at least another two years. So I don't think we even hit – so rubber hits the road for another few years because you're not really even going to see – the monetization is going to be much bigger than I think the stocks are factoring in next year. Let's focus on that for a second. So you've got chat GPT, you've got Anthropic, you've got Gemini, you've got perplexity. It reminds me a little bit of the railroads. You don't need so many railroads. I mean, what do you think there could be maybe a shakeout in the sense that you don't need four, five, six massive LLM models.

  52. You maybe need only two or three. And then that means that let's say I'll just throw out OpenAI. Maybe OpenAI falls by the wayside in their ramifications. What do you think about that? I think it's a winner. It's a winner takes most market. Right. But not all. So in other words, you'll have much more – you're going to have the top three or four models that continue to be – but you even see like meta, llama, like that's starting to sort of dissipate. But look, to me, the AI story is not about the models. It's about the data and it's about – I want – models are going to get cheaper and cheaper. the AI trade is about the data and the use case build-out of what that looks like.

  53. So what would be your top three on that theme alone? I mean, on that theme, I mean, to me, it's like you have to own Google, not just because of where I see Gemma, but also because... what's happened on GCP. What's GCP? Google Cloud in terms of like my view, like in the enterprise and the hyperscaller side, how they're benefiting. Right. You know, two, in terms of just what we see on the enterprise, you got to own Microsoft because that's right their backyard in terms of from a hyperscaller perspective. And look, Palantir, I believe, is a trillion dollar market cap in the next two or three years.

  54. I mean, no one has a better mousetrap relative to use cases than Palantir. So let's press out for a second. When you go out and talk to people within the tech community what do they say about palantir and how come and how they compare to let's say mongo db or anybody else out there it's in my whole career i've never seen a company outside used like NVIDIA on chips but just from like an actual like a software perspective that is so on another level of every other company in the whole so what do you like what do you hear from people because the reality is like look palantir even though they did for three letter agencies dod and every so western government for for a decade their technology what is behind sort of you know closed doors cloak and dagger that technology is now going to major corporations and when cios understand what they can do it's it's almost kind of like you know it's game set match type thing and that's why and remember they're doing this without direct sales force they don't ever cut prices and that's palantir basically had a commercial business that went from 20 million to a billion in basically a year and a half i mean that's just the react so that's why when investing it's so expensive most expensive stock ever look it is very expensive

  55. 100 but my view is like if you just focus on valuation over the next one two years you miss every transformation or growth stock the last 20 years that's fair i feel like you have to will be able to look at, okay, four to five years, what does the commercial business look like? It's double the margins of the government business. Could earnings go up three, four X from where they are today? Could free cash go from $3 billion to whatever it's going to be, $8 to $10 billion? See, I think those are some of the numbers that you have to go through rather than sometimes just living in a more... So saying what you said about if you focus on valuation, you missed some of...

  56. I think it's a very important statement. Transformational growth names. I mean, you've talked about this. it's like if you just when you look at like apple in 08 after financial crisis oh it's a one-year cycle with at&t why would you Why would you ever leave it black? Why would you ever go away from a BlackBerry? You had to have an understanding what Apple is going to build as a services, as an ecosystem way to monetize it. If you look at NVIDIA 2022, you had to understand the ability, what they could do if they actually came out with an AI chip instead of viewing them as a gaming company. But you wouldn't see that in the numbers over the next year or two.

  57. I just think with the transformational growth stories from Pound to Tesla to many others, if you just look at it over the next 12, 18 months, you miss the longer-term story. Now, look, do you have to be a believer? Do you have to be more valuation agnostic? Yeah. But I'm just saying, like, how many investors that I've known that have had to redo their resume two or three times different hedge funds because they had to stay valuation-centric and couldn't own certain MAG-7 names, they had a short Palantir, whatever it may be? That's why it's good to be a trend follower. It's a blessing. No, but don't – like, we've talked about it.

  58. It's like, don't you think, like, there's certain – like, you can't – You can't get intimidated by stocks in my world that are up two, three, four hundred percent. You can't be intimidated by that. And you also have to identify – Well, you could be intimidated, but you could hold your nose. Well, but at the same time, you have to be very alert to what has had a 50 percent haircut still in the throes of a long-term uptrend, right? That's where you really have to make your money and lean into those. And I think there may be an opportunity in first half or second half of next year kind of in your world to see if we get a good correction here.

  59. What shakes out? Who's in the long-term uptrend? What can we really lean into? I mean, think back to late 2022. I mean, all the MAG7 stocks bottomed exactly where they should, right at the long-term uptrends. There's going to be another moment like that in the next year or two, and you've got to be ready to act. So let's do predictions. What's your prediction for next year?

  60. Chris Verrone · 3 min

    “It's about owning real stuff with carry versus Bitcoin with no carry.”

  61. are going to be up 20% plus. But I think a lot of those could actually be driven by the second, third, fourth derivative as the AI theme plays out. I think in large cap, I think you're going to see like what I think names like Microsoft and Oracle could actually be significant outperformers over next year. And I think the big theme is going to be like Apple is going to get into the AI game with the Gemini partnership. You're seeing new leadership there.

  62. I think Apple as a large cap name could be the one that has like just a massive move because there's no AI. There's no AI component at this point. Because they haven't done. I love the chart. I own it. And now what you're starting to see play out is like new leadership, DOJ win with Google, sets it up for that big Gemini partnership. So that's the one with that installed base. I love it. Would you see? I still say it's the most underweight kind of among the names. I mean by investors. By investors, yeah. Apple. Yeah, because look, Apple, every event I've been at for Apple, I felt like Michael J. Fox Back to the Future, right?

  63. Like it was always kind of like, you know, I mean, where is that? You're at every—Cook's finally been like, clock struck midnight, time to shift their leaders, bring people from the outside. They're not going to do acquisitions, but Apple's ready to play ball. And I think, look, I think the theme is like you said. We're going to have these white knuckle moments. But the reality is like we are early in this tech trade that has – So I completely agree with you other than the two risks that I outlined earlier before. Sure. Energy. If that – the energy is – that's a real risk. No, it is. Because it always takes longer to do stuff than you think.

  64. And the whole LLM thing I think is more serious than you think. I think we should leave it to the states to figure that out. You know, every time I go into a motor vehicle, I feel really comfortable that the states could have control of that. No, I'm joking. But I'm saying the reality is it needs to be a federal roadmap. I agree with that. I mean, would you add one more risk to that? It's just rates. They haven't really moved here, but they've moved in Germany. We know they moved in Japan. I think it would be silly not to be alert to the idea that you get a pretty bad move in rates. I think that's – look, if the economy is stronger than people think in the early part of the year, you could get the 10-year back to four and a half.

  65. Then people start to get nervous and they start to have a whole narrative about, you know, you got to get rid of your speculative stocks. I've seen that. I could read the headlines already. I could see that. Okay, guys. That was really great. Thank you. No, this is so fun. That was fun. Happy New Year to both of you. You too. Happy New Year. Health and health and prosperous. That four. Great. That was great. Have a great one. Thank you. Have a good New Year. We'll talk at the end next year. Thank you. Thank you. this podcast is for informational purposes only and does not constitute investment advice the hosts and guests may hold positions in stocks discussed opinions expressed on their own and not recommendations please do your own due diligence and consult a licensed financial advisor before making any investment decisions

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