Speaker · Updated
Dan Niles: latest market views
Niles Investment Management
Summary
Dan Niles is the founder and portfolio manager of Niles Investment Management and has run the Satori Fund hedge fund since 2004, after earlier roles as a Lehman Brothers tech hardware and semiconductor analyst and at Neuberger Berman.
Chorus has 21 views from Dan Niles across 3 episodes on CNBC Closing Bell since October 15, 2026. Their latest calls: bullish on Space Exploration Technologies, Alphabet, Amazon.com and Apple; bearish on Anthropic, OpenAI, Meta Platforms and CoreWeave.
Where they stand
Their latest bullish or bearish call on each company.
- AnthropicBearish ·
- OpenAIBearish ·
- Meta PlatformsBearish ·
- Space Exploration TechnologiesBullish ·
- AlphabetBullish ·
- Amazon.comBullish ·
- AppleBullish ·
- CoreWeaveBearish ·
- MicrosoftBullish ·
What they talk about most
The latest views
Newest first. Every quote is checked against the episode's transcript.
AI infrastructure & data centers
Post-midterm pushback on data center construction is a durable shock, unlike reversible tariffs or war.
Texas, Georgia, Ohio and Pennsylvania all flipped in the midterms, and those states account for about 50% of incremental US data center capacity coming online. Senators calling right after the midterms to stop all new data center construction will constrain buildout. Niles contrasts this with tariffs or the war, which one decision can reverse. Midterm outcomes cannot be re-voted, so he expects this to take time to sort out. He cited an Australian data center developer whose stock fell 40% after announcing community-driven delays before recovering when two other firms invested.
“when you have senators coming out right after the midterms and saying, we need to stop all new data center construction, this is what you're gonna get.”at 6:17
CNBC Closing Bell: Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26 ·
Market still has too much froth; stocks are not cheap and the top has not been seen yet.
Niles argues the market still shows too much positivity. He says the S&P 500 is only down about 6%, so there is a lot of froth to work off. Valuations on normalized earnings are not cheap, and he doesn't believe the top has been seen. He sees a possible near-term rally but expects the market to need a longer reset. Winding down of a $16 billion multi-strategy fund is a start toward a healthy reset.
“I feel like there's still too much positivity in the market... there's still a lot of froth that you could say needs to get worked off.”at 7:15
CNBC Closing Bell: Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26 ·
AI infrastructure & data centers
Neoclouds with leveraged balance sheets and no other business will mostly go to zero; hyperscalers survive.
Neoclouds are the overflow capacity for hyperscalers such as Microsoft and Google, and they are the first to suffer when those customers cut back or when neoclouds cannot get capital or permits. Niles says they have leveraged balance sheets, massive negative cash flows and no other businesses, so they will likely go to zero, most of them. He argues the industry is overbuilding, as in past industrial booms such as railroads and the internet. Microsoft, Amazon, Google and Meta will survive because their cash-generating core businesses (software, search, ecommerce, social) can absorb the bust. He also noted that if neoclouds cannot deliver capacity, hyperscaler cloud results such as Azure and Google Cloud could miss their numbers.
“The neo clouds have leveraged balance sheet, massive negative cash flows, no other businesses.”at 9:44
CNBC Closing Bell: Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26 ·
Memory stocks are not cheap: they trade over 5x book and would bottom near 1x in a downturn.
Commentators calling memory stocks cheap are wrong in Niles's view. They trade at more than five times book value, while in a down cycle memory stocks bottom at about one times book. He says they are currently over-earning, and end-demand can change very quickly. He also says valuations on a normalized earnings basis, not peak 80% operating margins, are not cheap for these stocks.
“They're trading at over five times book value. In a down cycle, they bottom at one. They're over earning.”at 11:06
CNBC Closing Bell: Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26 ·
Current selloff resembles the 1997-98 funding crisis: semis fall 40%, finish both years up, then rip.
Niles says the market is in a 1997-98 type funding crisis, comparing it to the Asian currency crisis of 1997 and the Long-Term Capital Management collapse of 1998. Semis fell about 40% from peak to trough in both those years but still finished each year up, and then ripped higher in 1999. He thinks the current episode is like that, though he says the other side of the story is that revenue growth is slowing sharply, so the multiple investors will pay is uncertain. He has not seen the top.
“I think we've seen a 1997, 1998 type of funding crisis... Semis went down... they went down 40% from peak to trough. Both years, semis finished the year up.”at 12:03
CNBC Closing Bell: Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26 ·
OpenAIBearish
OpenAI's revenue growth is decelerating sharply, so the multiple investors pay for it is questionable.
Niles cites OpenAI's sequential revenue growth falling from about 140% in Q2 to about 45% in Q3, with Q4 possibly at 20-25%. He argues that revenue growth across the AI sector is massively slowing, which he has discussed before. He asks what multiple can be put on that growth and what OpenAI will do next, implying the valuation case is weakening.
“OpenAI growing a 140% sequentially in q two, then it's like 45% in q three. Q four, it might be like 20%, 25%.”at 12:32
CNBC Closing Bell: Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26 ·
AnthropicBearish
Anthropic may struggle to IPO at the valuation people expected or to raise as much as hoped.
Niles questions whether Anthropic can go public at the valuation people had in mind and how much it can raise. He says those figures are going down, because the AI sector's revenue growth is slowing and the market has repriced in the past two days. The point is brief and not backed by hard numbers.
“And is Anthropic gonna be able to get public at the valuation people thought, and how much can they raise? Right? Because those figures are going down.”at 12:55
CNBC Closing Bell: Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26 ·
Meta PlatformsBearish
Meta's push to raise capital ahead of rivals signals financing strain and competition for capital, weighing on the stock.
Niles reads Meta's 8-K as a warning. Meta wanted to get in front of other players raising capital because it worried the market was becoming saturated, and it said competition for that capital is increasing. Meta's stock has fallen about 10% since it reported a great quarter. He had expected the stock to hinge on cash flow, capex, spending and financing needs rather than the quarter itself. He expects the same issues to drive the market's reaction to Google, Microsoft and Amazon, which report this week.
“Well, I mean, I think there's a lot of competition for capital, and I think Meta is a great example of that. ... they wanted to get out in front of other players that were looking to raise capital because they were worried about the market being, quote, saturated.”at 12:55
CNBC Closing Bell: Closing Bell Overtime: Markets Face a Big Week as AI Takes Center Stage 10/26/26 ·
Space Exploration TechnologiesBullish
Musk's SpaceX has a cost-of-capital edge, so heavier AI buildout spending widens its advantage over neoclouds.
Niles says SpaceX can raise capital at a price-to-sales multiple far higher than any neocloud can. That means the more it spends on building AI capacity, the bigger its advantage, because it can multiply each dollar of revenue by a much larger number. It also has other businesses, SpaceX and Starlink, to help support that spending. This puts it in the same category as Google, Amazon and Microsoft, which have large cash-generating businesses to fund AI spending.
“And Elon's got a massive cost of capital advantage. Right? Because he can raise capital at a price to sales ratio that is much higher than any of these neo clouds can.”at 14:08
CNBC Closing Bell: Closing Bell Overtime: Markets Face a Big Week as AI Takes Center Stage 10/26/26 ·
AI infrastructure & data centers
Neoclouds lack cash-generating base businesses and most will fail when the AI bubble breaks.
Niles contrasts neoclouds with Google, Amazon and Microsoft. Those companies run cloud businesses for AI but also have large base businesses that throw off cash flow to fund AI spending. Neoclouds do not have that. He also says neoclouds have a higher cost of capital than players like SpaceX, so they cannot keep pace with spending. He says he completely agrees that when the bubble breaks, most neoclouds will go out of business.
“...but then they also have these massive base businesses that throw off a lot of cash flow that helps fund it, which these neo clouds don't. And, you know, in general, I'm in a complete agreement that when this thing bubble breaks, you're gonna have most of them go out of business.”at 14:52
CNBC Closing Bell: Closing Bell Overtime: Markets Face a Big Week as AI Takes Center Stage 10/26/26 ·
MicrosoftUncertain
Microsoft's buyout offer makes him nervous, though he hopes it reflects AI-driven productivity gains.
Niles says voluntary buyouts always make him nervous. Microsoft did a similar move in January, and the stock did well afterward. He reasons that AI makes employees much more productive, and he hopes the buyouts reflect real efficiency gains. He still worries about data center moratoriums and the slowdown in Anthropic's revenue growth, which could affect the outlook. He says he will have to wait and see.
“You know, whenever I see that, it always makes me nervous. I mean, the good news is Microsoft had one of these same things, I think, back in January.”at 15:19
CNBC Closing Bell: Closing Bell Overtime: Markets Face a Big Week as AI Takes Center Stage 10/26/26 ·
Open-weight models are cutting AI average selling prices sharply, squeezing margins for closed-model providers.
Niles names open-weight models as a headwind alongside the slowdown in Anthropic's revenue and the data center moratorium news. Open-weight models have cut average selling prices by more than 50% since May, a concrete figure that feeds into how the AI trade's margins will evolve.
“You're struggling with that and the fact that open weight is in fact dropping average selling prices by over 50% since May.”at 16:15
CNBC Closing Bell: Closing Bell Overtime: Markets Face a Big Week as AI Takes Center Stage 10/26/26 ·
AnthropicBullish
Anthropic's filing looked better than feared: low customer concentration and rising revenue per compute dollar.
Niles says he liked what he saw in the filing. Top five customers are about 25% of sales, so the customer concentration he had worried about is not a major issue. Every Fortune 10 company uses the product, and 30% of the Fortune 500 have over $100,000 in trailing twelve-month revenue. The chart in the filing shows revenue over compute expense rising from about 0.6 a year ago to about 2.1 in the latest quarter, meaning each dollar of compute generates much more revenue. He sees this as a sign of overall health in the AI trade. The open question is the deceleration: Anthropic grew revenue 145% sequentially in Q2 and that slowed to 45% in Q3, so the annualized run rate will decide the outcome.
“Yeah. It's all of those things, Mike. In general, I actually liked what I saw. ... Top five customers are 25% of sales. So there's not this massive customer concentration I was worried about.”at 16:51
CNBC Closing Bell: Closing Bell Overtime: Markets Face a Big Week as AI Takes Center Stage 10/26/26 ·
Amazon.comBullish
Amazon is among the full-stack hyperscalers where AI economics will ultimately settle.
Full-stack hyperscalers like Microsoft, Google and Amazon have the raw chips, services and software needed to support AI, while neoclouds lack that breadth. Niles argues the AI boom's economics will settle at these hyperscalers, which are the ones able to capture value from excess compute and services.
“Microsoft, Google, and Amazon because not only do they have the raw chips, they have the services, they have the software, they have everything to support that.”at 5:37
CoreWeaveBearish
CoreWeave's neocloud model faces a wave of bankruptcies as hyperscalers' excess capacity contracts unwind.
Hyperscalers like Microsoft and Google are contracting out excess capacity to neoclouds such as CoreWeave rather than overbuilding their own. AI is seen as the most transformational technology since the internet, so overinvestment is inevitable. Neoclouds sit at the layer where that overbuilt capacity lands, so Niles expects a huge wave of bankruptcies when the cycle implodes. He agrees that neoclouds may not have a place in the ecosystem once compute is rationalized.
“Where you're gonna have problems, and I've been saying this for I don't know how long, is at the neo cloud level. Because what the Microsofts and the Googles are doing is they're contracting out with the likes of CoreWeave for that excess capacity.”at 5:48
MicrosoftBullish
Microsoft will ultimately win enterprise AI because customers trust its safe Microsoft 365 AI access.
Microsoft has taken advantage of fears that AI will displace jobs, and corporations feel safe with its Microsoft 365 license, which gives them AI access in a controlled environment. Microsoft has also done a good job with the Copilot overhaul. Together these position it as the ultimate enterprise winner in the AI layer.
“...corporations feel safe because they've got a Microsoft three sixty five license... They've done the Copilot overhaul. I think Microsoft ultimately wins in enterprise.”at 7:12
AppleBullish
Apple will be a consumer AI winner, routing queries to the best model via its iPhone ecosystem.
Consumers will talk to their iPhone or Android device and will not care which model runs underneath. Apple and Google will route each query to whatever model gets the job done at the best price, so the device platform captures the consumer AI value rather than the individual model makers.
“...it'll be ultimately be the Android ecosystem, which is obviously Google, and it will be Apple... you'll either talk to your iPhone or your Samsung or whatever it is running Android.”at 7:38
AlphabetBullish
Google, via the Android ecosystem, will be a consumer AI winner regardless of which model runs underneath.
Consumers will talk to their phones, and the Android ecosystem controlled by Google will be the interface. Consumers won't care which underlying model runs, because Google and Apple will route each query to whatever model is best and cheapest for the job. That gives Google the consumer end of the AI stack.
“...it'll be ultimately be the Android ecosystem, which is obviously Google, and it will be Apple... those two companies will route your query to whatever is best to get the job done at the best price.”at 7:38
AnthropicBullish
Anthropic should make it through the shakeout because its enterprise focus means businesses pay.
Anthropic has focused on the enterprise market from day one, and businesses will pay for AI, unlike consumers who expect free products. That makes it better positioned than OpenAI, which is shifting to enterprise late. Niles thinks Anthropic will get through the coming shakeout okay, though his view is more relative than enthusiastic, and its IPO has also been delayed.
“Anthropic from day one has been focused on the enterprise market. Why? Because businesses will pay.”at 9:31
OpenAIBearish
OpenAI is at the epicenter of LLM-layer risk; Niles has real concerns about it.
Niles has repeatedly said OpenAI is at the epicenter of LLM-layer problems. OpenAI's consumer-first model is weak because consumers expect free products, which forced it to pivot to enterprise this year. Its IPO was supposed to come first but has been pushed to next year. Deals have also been pulled, including an Nvidia-backed Australian deal and AirTrunk's Singapore IPO, which he links to the risk of a 2000-style funding squeeze.
“But I have, you know, real concerns about OpenAI. And let's not forget, both of these IPOs have gotten pushed out, right? Anthropic was supposed to come earlier.”at 9:45
Long-term supply agreements for chips are worthless, as customers renegotiate or exit once demand falls.
Long-term agreements struck during COVID proved worthless because customers went back and demanded changed terms. Microchip enforced its contracts and suffered four straight quarters of revenue down over 40% before its CEO canceled them. Enforcing contracts means customers like Apple will take their business to competitors when the contract expires. Niles says the current AI chip LTAs are just as worthless.
“Those long term contracts are worthless in my mind. I mean, go back to what happened during COVID. If you remember, there were a lot of long term agreements struck during COVID.”at 11:24
Shows
- CNBC Closing Bell · 3 episodes
Ask your AI what Dan Niles thinks
Chorus gives Claude, ChatGPT and other assistants every view Dan Niles has shared on the shows it covers, next to everyone else's. Ask where they stand, what changed, and who disagrees.
Chorus reports what speakers said. It isn't investment advice.