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HOME/STRICTLYVC/Anthropic Sets IPO Price Range
NEWS
// NEWSLETTER ISSUE
STRICTLYVC

Anthropic Sets IPO Price Range

DATE November 11, 2026SOURCE STRICTLYVCPARTICIPANTS CONNIE LOIZOS
In this episode
// SUMMARY

1. Key Themes

Theme 1: AI mega-capital markets are going public, with hyperscalers and chip vendors funding the ecosystem they depend on

Anthropic's IPO is priced at historic scale

Anthropic is targeting a valuation that rivals the largest public companies, alongside a separate strategic placement from its own suppliers and partners.

"Anthropic plans to offer 825 million shares at $70 to $78 apiece in its IPO, potentially raising up to $64.35 billion and valuing the five-year-old AI lab at as much as $1.4 trillion on a fully diluted basis."

Suppliers and partners are buying in as strategic investors

"Separately, Google, Nvidia, Microsoft, AMD, Broadcom, Micron, and TSMC have agreed to buy another $26 billion of stock in a private placement."

Founders retain control while selling a modest slice

"Dario Amodei, Daniela Amodei, and Anthropic's five other founders each plan to sell about $250 million of stock in the company's IPO while retaining stakes worth roughly $18 billion apiece. Together, they will still control 50.1% of most shareholder votes through an LLC they control."

Chinese AI silicon is also heading to public markets

"Alibaba's seven-year-old chip unit T-Head has confidentially filed for a Hong Kong IPO, advancing a spin-off that would give investors direct exposure to the Chinese tech giant's in-house AI processor business as it works to reduce reliance on Nvidia."

Theme 2: Frontier AI labs show hypergrowth alongside enormous cash burn

Anthropic's projected trajectory is steep but capital-intensive

"Goldman Sachs expects Anthropic's revenue to exceed $600 billion by 2030 – up from $4.6 billion in 2025 and a projected $52 billion this year – while forecasting that the AI company will not become free-cash-flow positive until 2030 and will burn $65.7 billion in 2027."

OpenAI shows accelerating revenue but widening losses

"OpenAI's quarterly revenue jumped roughly 50% to $10 billion, but its adjusted operating loss still widened slightly to $10.9 billion, underscoring how far it remains from profitability even as growth accelerates."

Theme 3: Key-person and governance risk at AI infrastructure leaders is now a market-moving variable

Nvidia lost roughly 9.5% of its value in two days on governance fears, not operating news

"Nvidia's stock sank 5.47% on Tuesday following a 4% drop on Monday, a loss of about 9.5% in two days, even though there wasn't much news out of the company."

The situation has no governance precedent

"Two corporate governance professors, Ann Lipton of the University of Colorado and Todd Henderson of the University of Chicago, say there is no real precedent for a CEO caught up in a suspected honeypot."

The outcome hinges on facts not yet public

"Henderson... said much depends on facts few people have yet, including, most importantly, what, if anything, Alice Huang got out of Jensen Huang. (Secrets about Nvidia's fabs or chip designs would matter to the Justice Department. Ordinary corporate information probably would not.)"

Theme 4: Venture capital is flowing into AI "picks and shovels": data, evaluation, security, and agent infrastructure

Expert data and evaluation environments command huge valuations

"Mercor... raised a $750 million Series D round at a $20 billion valuation."

Simulated environments for training and testing AI are attracting seed capital

"Alterra Labs, a one-year-old New York startup that builds simulated medical environments for testing and training AI models on clinical tasks, raised a $12.5 million seed round led by Oak HC/FT."

Securing and governing AI agents is an emerging category

"Bay, a Tel Aviv startup founded this year that provides security software that governs AI agents across employee devices, cloud infrastructure, and business applications, raised a $37 million Series A round."

Agent memory and data-layer tools are getting funded

"Graphon Labs... gives AI agents persistent memory across changing documents, images, videos, and other enterprise data, raised a $35 million Series A."

Theme 5: Physical-world AI (robotics, defense manufacturing, medical imaging) is drawing large growth rounds

Industrial robotics gets a unicorn-scale round

"Path Robotics... that develops AI systems that enable industrial robots to autonomously perform complex, variable welding tasks, raised a $300 million Series E round at a $2.45 billion post-money valuation."

Defense manufacturing and command software are attracting early capital

"Nidus... builds AI-powered robotic systems to automate precision manufacturing inside defense factories, raised a $30 million round backed by Kleiner Perkins and previous investor Costanoa."

Strategic corporate investors lead in medtech AI

"Laza Medical... that develops AI and robotic imaging systems that guide clinicians during minimally invasive cardiovascular procedures, raised a $160 million Series B round led by GE HealthCare."


2. Contrarian Perspectives

Boards investigating a CEO are only as rigorous as they choose to be

Governance experts offer a skeptical view of internal investigations, even ones that look robust on paper. The independence of the process depends on the incentives of those running it.

"She also observed that an investigation will be 'exactly as thorough' as the directors running it want it to be, which is also standard. Henderson made a related point about incentives, saying that Washington law firms that conduct internal investigations 'know who pays their bills.' He didn't suggest that is happening here."

The "standard" part of the Nvidia scandal is the least informative part

Hiring a prominent law firm is the expected corporate response and should not be read as a signal about severity or outcome.

"Lipton described the investigation led by Nvidia's independent board members, with their own outside counsel, as perhaps the most 'standard' aspect of the whole affair so far."

A massive IPO valuation sits alongside a long path to cash-flow breakeven

The market is being asked to price Anthropic at up to $1.4 trillion while Goldman's own forecast has no free cash flow until 2030, which implies investors are underwriting revenue growth far ahead of profitability.

"Goldman Sachs expects Anthropic's revenue to exceed $600 billion by 2030... while forecasting that the AI company will not become free-cash-flow positive until 2030 and will burn $65.7 billion in 2027."


3. Companies Identified

Anthropic

  • Description: Five-year-old AI lab preparing a landmark IPO.
  • Why mentioned: Headline IPO with a potential $1.4T valuation and strategic buyers; Goldman revenue forecasts.
  • Quotes: "Anthropic plans to offer 825 million shares at $70 to $78 apiece in its IPO, potentially raising up to $64.35 billion and valuing the five-year-old AI lab at as much as $1.4 trillion on a fully diluted basis."

Nvidia

  • Description: AI chip leader whose CEO is under board investigation.
  • Why mentioned: Stock decline, governance crisis, and investor in Anthropic's placement and Mercor.
  • Quotes: "Nvidia has hired Wachtell Lipton to advise its board on the investigation into CEO Jensen Huang's affair with Alice Huang, with former acting U.S. attorney Joon H. Kim leading the inquiry."

OpenAI

  • Description: Frontier AI lab with fast-growing revenue and large losses; also an acquirer.
  • Why mentioned: Financial results and the Odessia acqui-hire.
  • Quotes: "OpenAI has acquired Odessia, a one-year-old AI travel startup founded by Sonder creator Francis Davidson in what appears to be an acqui-hire."

Mercor

  • Description: Three-year-old provider of expert data and testing environments for AI model training.
  • Why mentioned: Largest startup round in the newsletter at a $20B valuation.
  • Quotes: "Mercor... raised a $750 million Series D round at a $20 billion valuation."

Path Robotics

  • Description: Eight-year-old Columbus, OH developer of AI for autonomous industrial welding.
  • Why mentioned: $300M Series E at $2.45B post-money.
  • Quotes: "The company has raised a total of $610+ million."

Laza Medical

  • Description: AI and robotic imaging for minimally invasive cardiovascular procedures.
  • Why mentioned: $160M Series B led by GE HealthCare.
  • Quotes: "Laza Medical... raised a $160 million Series B round led by GE HealthCare."

Charta Health

  • Description: AI medical chart review and claims-coding verification.
  • Why mentioned: $55M Series B led by Insight Partners.
  • Quotes: "Charta Health... uses AI to review medical charts for providers and insurers and verify claims coding against clinical documentation, raised a $55 million Series B round."

Daylight

  • Description: Tel Aviv/New York security startup combining AI agents with human experts.
  • Why mentioned: $80M Series B at roughly $400M valuation.
  • Quotes: "Daylight... raised an $80 million Series B round at approximately an $400 million valuation."

Clara

  • Description: São Paulo corporate spend and cross-border payments platform.
  • Why mentioned: $105M in new financing, including debt-like growth financing.
  • Quotes: "...raised $105 million in new financing, including a $65 million Series C... plus $40 million in renewed growth financing from previous investor General Catalyst's Customer Value Fund."

Project Faro

  • Description: Two-month-old stablecoin venture backed by major banks.
  • Why mentioned: $270M in commitments to fund five years of operating costs.
  • Quotes: "...has secured around $270 million in commitments to cover its first five years of operating costs."

Reflect Orbital

  • Description: Builds orbital mirrors to redirect sunlight.
  • Why mentioned: $73.5M round from Sequoia, Lux, and others.
  • Quotes: "...has raised more than $100 million in total."

Oura / Counsel Health

  • Description: Oura is a smart-ring maker; Counsel Health provides AI-enabled virtual primary care.
  • Why mentioned: $625M cash acquisition.
  • Quotes: "Oura is acquiring Counsel Health for $625 million in cash, pairing its biometric data with Counsel's AI-enabled virtual primary-care service..."

Alibaba T-Head

  • Description: Alibaba's in-house AI chip unit.
  • Why mentioned: Confidential Hong Kong IPO filing.
  • Quotes: "...as it works to reduce reliance on Nvidia."

Oyster Therapeutics

  • Description: London developer of oral tau-clearing medicines for Alzheimer's.
  • Why mentioned: $60M Series A with Eli Lilly participating.
  • Quotes: "...develops oral medicines that remove harmful tau proteins from brain cells to treat Alzheimer's and other neurodegenerative diseases."

Other notable rounds

  • Alta: "building blockchain infrastructure with built-in privacy and compliance controls for financial institutions, raised a $47.5 million Series A led by Index Ventures."
  • Dreeze: "raised a $33 million seed round co-led by Norwest and Bessemer Venture Partners."
  • Operand: "uses AI and alternative data to conduct due diligence for private equity firms, has raised $31 million across seed and Series A rounds."
  • Sumary: "automates accounting firms' monthly closes, VAT returns, and year-end preparation using AI, raised a $25 million seed round led by Singular."
  • Modulate: "audio AI detects synthetic voices and analyzes human and AI-agent conversations."
  • Sparxity: "builds chips and computing systems designed to reduce unnecessary calculations in AI workloads... has raised a total of $90 million."
  • Vumedi: "raised a $104 million Series B round from Oak HC/FT."

4. People Identified

Dario Amodei and Daniela Amodei

  • Description: Anthropic co-founders.
  • Why mentioned: Retaining control through the IPO while selling a modest stake.
  • Quotes: "...will still control 50.1% of most shareholder votes through an LLC they control."

Jensen Huang

  • Description: Nvidia CEO.
  • Why mentioned: Subject of the board investigation after admitting an extramarital affair.
  • Quotes: "CEO Jensen Huang has reportedly been trying to conduct business as usual after admitting to an extramarital affair with Alice Huang, whom U.S. intelligence agencies believe was spying for China."

Alice Huang

  • Description: Reported Chinese intelligence asset, linked to Megaspeed.
  • Why mentioned: Central to the Nvidia scandal.
  • Quotes: "...tracing how she moved from Shanghai finance into tech circles, built Megaspeed into a major Nvidia chip buyer, and developed ties to Huang that stretched back further than previously known."

Joon H. Kim

  • Description: Former acting U.S. attorney.
  • Why mentioned: Leading Wachtell's inquiry.
  • Quotes: "...with former acting U.S. attorney Joon H. Kim leading the inquiry."

Ann Lipton and Todd Henderson

  • Description: Corporate governance professors at the University of Colorado and the University of Chicago.
  • Why mentioned: Expert commentary on the investigation.
  • Quotes: "Washington law firms that conduct internal investigations 'know who pays their bills.'"

Travis Kalanick

  • Description: Former Uber CEO.
  • Why mentioned: Published a crisis-survival guide amid the Huang controversy.
  • Quotes: "...a 12-point guide for surviving a 'modern-day coup/psyop/struggle session,' advising people in crisis to acknowledge what they actually did, identify enemies, cut off disloyal people, and build a loyal war room."

Beezer Clarkson and Amit Bhatti

  • Description: LGT Capital Partners and TrueBridge LPs.
  • Why mentioned: Guests on StrictlyVC Download discussing LP views on concentration and secondaries.
  • Quotes: "...how limited partners are thinking through asset concentration, secondary sales, and how to deal right now with venture fund managers who are coming back to them on a yearly basis (versus the traditional three or four years)."

Francis Davidson

  • Description: Sonder creator, founder of Odessia.
  • Why mentioned: Acqui-hired by OpenAI.
  • Quotes: "...founded by Sonder creator Francis Davidson in what appears to be an acqui-hire."

Sahir Raoof

  • Description: Former SignalFire investor, founder of Proximal Ventures.
  • Why mentioned: Raised a $27.5M debut fund for AI drug development startups.
  • Quotes: "...founded by former SignalFire investor Sahir Raoof that backs AI startups serving drug development."

5. Operating Insights

Prepare for crisis communications before you need them, but know it can be read as a signal

Huang hired a crisis PR firm a year before the scandal broke, and the timing is now itself part of the story.

"Wired reported Monday, that Huang hired a PR crisis firm known for handling sex scandals a full year ago. Of course, the driver could have been about the affair alone. It's unclear when Huang learned Alice Huang was a suspected spy."

Board-level crises should be run by independent directors with separate counsel, and the "who knew when" question is central

Investigations center on legal violations, policy violations, and whether leadership misled the board.

"Lipton said she sees three lines of inquiry, including whether the law was broken, whether Huang violated Nvidia's internal policies, and whether the board was misled, including how forthcoming he was and when he was on notice."

Sell into strategic partners and demand-side buyers for aligned capital

Anthropic's private placement pulls its own supply chain into the cap table, and corporate strategics lead rounds in vertical AI (GE HealthCare in Laza, Lilly in Oyster, Nvidia and Salesforce in Mercor).

"Laza Medical... raised a $160 million Series B round led by GE HealthCare."


6. Overlooked Insights

Limited partners are being asked for capital far more frequently

Fund managers are returning to LPs annually rather than every three or four years, which signals compressed fundraising cycles and pressure on LP concentration and liquidity.

"...venture fund managers who are coming back to them on a yearly basis (versus the traditional three or four years)."

AI coding agent security failures can expose sensitive enterprise and government-adjacent data at scale

A flaw in an AI coding tool exposed data across tens of thousands of apps, including defense-contractor and medical information, a reminder that agentic developer tools are an under-appreciated attack surface.

"A security flaw in SpaceXSI's Grok Build coding agent exposed data from more than 35,000 publicly accessible apps, including confidential SpaceXSI sales materials, Tesla employee data, medical records, and information from defense contractors and other companies."