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NewslettersTerm Sheet

Anthropic’s S-1 embodies all the contradictions of the AI boom, and the questions about what happens next

Allie Garfinkle
By
Allie Garfinkle
Allie Garfinkle
Term Sheet Editor
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Allie Garfinkle
By
Allie Garfinkle
Allie Garfinkle
Term Sheet Editor
Down Arrow Button Icon
October 27, 2026, 7:51 AM ET
Dario Amodei, cofounder and CEO of Anthropic.
Dario Amodei, cofounder and CEO of Anthropic.Jason Henry—Bloomberg/Getty Images
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Anthropic’s S-1 is a Rorschach test, perhaps. 

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The anxiously awaited go-public filing from the $965 billion company is filled with contradictions that, perhaps, wholly encapsulate the AI era. It starts with rhetoric: That AI, “one of the most consequential technologies in human history,” will commence an “age of miracles,” while simultaneously rife with “existential risks to society.” AI, Anthropic says in its S-1, can do everything from shortening DMV lines to potentially curing cancer—and “may pose catastrophic [risks].” 

The contradictions, of course, filter through to the numbers, including the headline revenue figure for the first half of 2026: $16.29 billion in revenue (reflective of sweeping demand for Claude), posed right next to Anthropic’s net loss of $80.7 billion for the six months leading up to June 2026. Anthropic could be the largest IPO ever—with one of the largest net losses ever recorded by a public or soon-to-be-public company. That mammoth chunk of red ink is due to an accounting charge related to convertible notes, but the company’s losing money nonetheless.

Reading this S-1, it’s clear: This is a cost-of-compute story. And how could it be anything else? The massive costs and demands for compute are woven throughout (the word “compute” appears more than 580 times in the document) and embody their own dichotomies. For one, Anthropic and Elon Musk may have their highly-public squabbles, but that isn’t stopping Anthropic from buying compute from SpaceX to the tune of up to $120.5 billion through 2029 (this far outstrips what we saw disclosed in SpaceX’s S-1). The company’s present and future keep it handcuffed to compute, no matter the cost and every step of the way: Case in point, Anthropic spent about $9.7 billion on compute in the first half of this year for just model R&D. All in, Anthropic’s planning to spend as much as $567 billion on compute. 

A number that mildly shocked me (but shouldn’t have): The company, in H1 2026, also spent over $3 billion on marketing, which features more prominently in the S-1 than you’d expect. Among the risks, the filing reads: “We may not successfully build, expand, and deploy our sales and marketing organization in a timely manner, or we may not successfully hire, retain, train, and motivate our sales personnel… We have limited experience building, managing, and scaling a direct sales force…. If our marketing programs are not effective… our sales and revenue may grow more slowly than expected or decline.” 

In short: It’s a reminder that no matter how much the AI boom booms, AI remains a product that needs to be sold, in a competitive market that (I would argue) runs the risk of being commoditized over time. 

And throughout the filing is implicitly acknowledged a profound truth of this moment in tech and startups: Just because a company is richly valued, it doesn’t mean it’s mature. The phrase “limited experience” shows up to describe the unknowns around management, commercialization, and management of infrastructure. Which perhaps marks the greatest contradiction (and inevitability) of all: That the IPO that will test the AI bubble is a trillion-dollar leap of faith. 

Anthropic, like OpenAI, has become an index fund of sorts for Silicon Valley (at least 100 VCs back the company, but none seem to own more than 5% per the filing). And the public markets responded positively yesterday, seemingly, to the news of Anthropic’s go-public. Billions, conservatively, are at stake, but the era of Rorschach projection in AI may be about to end. 

Because when Anthropic starts trading, that’s when the real, quantifiable test begins. 

See you tomorrow,

Allie Garfinkle
X:
@agarfinks
Email: alexandra.garfinkle@fortune.com

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Joey Abrams curated the deals section of today’s newsletter.

VENTURE CAPITAL

- Nevis, a New York City-based provider of AI-powered workflow automation software for wealth management firms, raised $70 million in Series B funding. EQT Ventures led the round and was joined by Charles Schwab, QuantumLight, and existing investors Sequoia Capital, ICONIQ, and Ribbit Capital.

- Hyphenate, a New York City-based provider of AI-powered finance automation software, raised $45 million in Series A funding. Nexus Venture Partners led the round and was joined by B Capital and existing investors Foundation Capital, BoldCap, and Gaia Ventures.

- adsilico, a Leeds, U.K.-based developer of AI-powered virtual patient simulations for medical device testing, raised £10 million ($13.4 million) in Series A funding. PXN Ventures led the round and was joined by existing investors Northern Gritstone and Parkwalk.

PRIVATE EQUITY

- TEAM Partners recapitalized Pie Tap Pizza + Rotisserie + Bar, a Dallas, Texas-based restaurant chain. Financial terms were not disclosed.

EXITS

- Bertram Capital acquired Motion & Control Enterprises, a Zelienople, Pa.-based distributor of flow control, fluid power, automation, and hydraulic repair products and services, from Frontenac. Financial terms were not disclosed.

IPOs

- Aspen Neuroscience, a San Diego, Calif.-based developer of stem cell therapies for Parkinson’s disease, plans to raise up to $159.8 million in an offering of 9.4 million shares priced between $15 and $17 on the Nasdaq. OrbiMed, Frazier Life Sciences, ARCH Venture Partners, Gilead Sciences, Qatar Investment Authority, and the Abu Dhabi Investment Authority back the company.

This is the web version of Term Sheet, a daily newsletter on the biggest deals and dealmakers in venture capital and private equity. Sign up for free.
About the Author
Allie Garfinkle
By Allie GarfinkleTerm Sheet Editor
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Allie Garfinkle is a senior writer and editor at Fortune, where she runs Term Sheet; leads coverage of private capital, investors, and startups; and co-chairs the Brainstorm conference series.

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