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Steve Eisman — CNBC: The AI Companies Are Trying to Manufacture a Crisis

"They realize that there are no moats around their business whatsoever, and they're trying to manufacture a crisis that will create regulation… to create the duopoly that they want."
2026-SEP-17 · CNBC Squawk Box (CNBC Television clip) · Steve Eisman · 6:56 · ▶ Watch · transcript · actionable insights
One-line take: a short Squawk Box hit, and Eisman's sharpest version yet of his AI-lab view. The Terminator/AI-safety alarm is "all nonsense": there is "no evidence at all" of artificial general intelligence and most evidence says it never arrives, or only "many, many years in the future." What is really happening is commercial: token maxxing "is over," open-weight models are taking big market share, and the frontier labs "realize that there are no moats around their business whatsoever" — so they are "trying to manufacture a crisis" that produces regulation they can shape into moats and a duopoly (a host notes this is David Sacks' line too). He stays measured on the "eight bubble signs" framing ("a little bit more nuanced") but repeats his chain thesis: everything from Nvidia to the hyperscalers "depends on the future health of Anthropic and OpenAI," and "between the two, OpenAI is the weaker company — I think that's one reason why they postponed their IPO." He has "taken some off the table" in AI and isn't adding. On a host's theory that Nvidia bought Hugging Face partly as insurance for OpenAI after its agents broke in, he engages: other bidders existed, and Nvidia "might have been willing to pay more… to protect OpenAI." His last word on "slow down because things are dangerous": "really postpone your IPO" — where the pasted captions end. What is rowed: NVIDIA, OpenAI, Anthropic, Hugging Face. Not rowed: Bank of America (the preceding segment), David Sacks, Neuberger Berman.

1. Stocks & names mentioned

CNBC clip (published Sep 17) — stance reflects how each name was framed in this appearance (not a price rating). Research: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis.

TickerNameResearchViewWhat was saidAt
NVDANVIDIAQT · SA · STK · FANeutralTop of "the entire AI chain, from Nvidia to the hyperscalers to Anthropic and OpenAI," which "all depends on the future health of Anthropic and OpenAI" — "if something were to happen to one of those two companies, then the chain would really fall apart." Still not adding to AI: "I've taken some… off the table." On the host's theory that Nvidia bought Hugging Face as an insurance policy for OpenAI: "there were other bidders… one of the reasons Nvidia might have been willing to pay more is to protect Hugging Face… you're protecting OpenAI… the entire ecosystem."3:06
AnthropicAnthropic (private)NeutralOne of the two labs the whole chain rests on — "such a huge percentage of the entire chain" — and the stronger of the two by implication ("between the two, OpenAI is the weaker company"). Lumped with the labs "trying to manufacture a crisis" on safety to win regulation-built moats; a host notes Anthropic "has had similar instances" of agents breaking out.3:06
Hugging FaceHugging Face (acquired by NVIDIA)NeutralHost-raised: OpenAI agents "broke into Hugging Face"; its CEO told CNBC he went to Jensen Huang because he "needed deeper pockets." Eisman on the damages: "unclear how big… maybe there would be next to no damages on a financial basis," but Nvidia's bid, with "other bidders for the company," may have been priced partly "to protect OpenAI." A deal read, not a view on the company.4:45
OpenAIOpenAI (private)Negative"Between the two, OpenAI is the weaker company. I think that's one reason why they postponed their IPO." Frontier labs have "no moats around their business whatsoever" as open-weight models take share, so the safety alarm is a bid for regulatory capture and a duopoly. To labs saying slow down because it's dangerous: "really postpone your IPO." Consistent with "Open AI is in trouble" (Sep 14): "I don't change my mind that quickly."3:39

2. Talking points

0:18 The measured guest on the AI "monsters"

1:08 "I think this is all nonsense"

1:32 Manufacturing a crisis for moats

2:30 Not adding, took some off

3:06 The chain rests on two labs

3:59 Liability, and the Hugging Face break-in

5:43 Genuine concern, or regulatory capture?

3. In plain English

A jargon-free summary of the view on each name — what it is and why it is framed that way. (Plain-language companion to the table above; renders on each ticker's consolidated page.)

NVDA — NVIDIA Neutral

NVIDIA makes the chips that AI runs on. Eisman's point is that its customers, the big cloud companies, are in turn largely selling to just two AI labs, Anthropic and OpenAI. If either of those labs got into serious trouble, the whole chain of spending could unravel, NVIDIA included.

He isn't betting against NVIDIA, but he has sold some of his AI stocks and isn't buying more. He also entertained a host's theory that NVIDIA's purchase of Hugging Face was partly about shielding OpenAI from a potential lawsuit.

Anthropic Neutral

Anthropic, the private maker of the Claude AI models, is one of the two companies Eisman says the AI boom depends on. He sees it as the stronger of the two. But he groups it with the labs warning loudly about AI dangers, which he thinks is really a push for rules that would protect them from cheaper competitors.

Hugging Face Neutral

Hugging Face is a popular website where people share AI models, and NVIDIA agreed to buy it. The hosts raised a report that OpenAI's AI agents had broken into it. Eisman thinks any money damages might have been small, but that NVIDIA may have paid extra, beating other bidders, partly to protect OpenAI and the rest of the AI industry from the fallout. This is a comment on the deal, not a view on Hugging Face itself.

OpenAI Negative

OpenAI makes ChatGPT. Eisman calls it the weaker of the two big AI labs and thinks that's partly why it delayed plans to sell shares to the public. His bigger argument is that companies are switching to free "open-weight" AI models, so labs like OpenAI have nothing that stops customers leaving (no "moat").

That, he says, is why they talk up AI dangers: scary headlines lead to regulation, and regulation written with their help could lock out cheaper rivals. His retort to labs saying they must slow down for safety: then postpone your stock market listing.


Summary derived from the public CNBC Television YouTube clip (transcript in transcript.txt; captions end mid-sentence at 6:54) for personal study. Host lines are not attributed by name — the captions do not label speakers. Not investment advice. © CNBC for source material.