OMITTED

What the news leaves out.

← Omitted front page

Anthropic Woos Investors Ahead of IPO With AI Bull Case

8 sources · updated 2026-10-16
Left 75% Center 12% Right 12%
6 left · 1 center · 1 right

What happened

Anthropic, the San Francisco-based developer of the Claude AI models, told prospective investors at a Wednesday briefing at its headquarters that third-quarter revenue reached $16.8 billion, up 45 percent from $11.6 billion in the second quarter and from $4.7 billion in the first quarter. The company said it was profitable on an adjusted basis in the third quarter and cash-flow positive, generating $1.70 in revenue for every dollar spent on computing power. The meeting was part of preparations for an initial public offering expected later this year. An Anthropic spokesperson declined to comment. The figures were reported by multiple news organizations citing people familiar with the matter and an investor who attended the event.
Sourcing check · Mostly on the record · 8 articles

5 of 8 articles cite a named source for the story. It started with a Bloomberg report citing unnamed sources; a named source appeared the next day.

What these terms mean and how they're counted
On the record · names a source 5 of 8
On the record means the article cites a source by name for the story's main claim: a person, or an institution speaking officially, such as a company statement or a named agency's spokesperson. The opposite is an unnamed source. The count is how many of the counted articles cite at least one such source; the names are everyone named across them, each once however the articles spell it. Here: Anthropic, Dario Amodei and Mark Levine
Primary evidence · cites a document or data 0 of 8
Primary evidence means the article cites a record you could check yourself: a court filing or ruling, a dataset or report, a recording or transcript, an official statement or press release, market data. A quote is not a document. The count is how many articles cite one. Here: None cited.
Credits another outlet 1 of 8
The article says the story comes from another outlet's reporting (“first reported by Reuters”). Those articles relay the story; they are not independent confirmation. Here: Bloomberg
Unnamed sources 6 of 8
The main claim is attributed to people who are not identified: “people familiar with the matter”, “officials said”. The count is how many articles do this. Here: e.g. “two people familiar with the matter”, “a person familiar with the matter”
How it developed
When the first report landed and whether it named anyone; when the first named source and the first document appeared. Here: First report Oct 13, 14:55 UTC by CNBC, crediting Bloomberg, with no named source. First named source the next day, from New York Times.
Not counted 0
Opinion, analysis and video pieces, and articles too short to assess. Every count above is out of the counted articles. An article republished under a new headline is one article.
This is about who is cited, not whether the story is true. Each source below says what it names. How we count
Omitted — what each side leaves out

Unpacked

Right-leaning coverage omits Anthropic's claim that it was already cash-flow positive and profitable on an adjusted basis. Those details appear in left-leaning coverage from CNBC, while the New York Post instead casts the IPO as a test of appetite for "heavily unprofitable AI developers." One version describes a company that has started covering its costs; the other describes a pre-profit giant still racing to outrun them. Right-leaning coverage leads with future infrastructure bills the New York Post puts at hundreds of billions. Left-leaning coverage from the BBC centers the revenue print and a listing before year-end, and does not carry that company-specific spending figure. One account makes the IPO a question of covering unpaid compute; the other makes it a story about a sales spike. What costs were stripped out to produce the adjusted profit?
Bottom line

You can read the New York Post on Anthropic's IPO briefing and never learn the company said it was cash-flow positive; that claim is in CNBC's version of the same meeting.

The receipts — 1 fact one side's coverage lacks
  • 5% to 7% of revenue comes from distillation, in which rival developers use Claude to train competing systems numberin Business Insider · absent from right-leaning coverage
The Left View
Left-leaning outlets treated the briefing as a gauge of the AI boom’s health and as a prompt to question how solid the growth is. BBC and CNBC nested the disclosure in a same-week slide in chipmakers and Asian tech stocks, Broadcom chief executive Hock Tan’s remark that many investors have “no clue” and have set “extreme expectations only to find out that it’s almost like they are in a casino,” and U.S. inflation that accelerated more than expected. BBC stressed that Anthropic “emphasised safety at its event,” pointing to chief executive Dario Amodei’s call to slow development, a company researcher’s warning of a greater than 10 percent chance that AI could “kill all humans” within a decade, and the firm’s claim it had disrupted attempts to use its model for “malicious activity” which could support biological weapons; it also cited President Donald Trump’s retort that researchers have been “bringing up things that won’t happen.” Business Insider argued that “revenue growth slowed in the third quarter, disappointing some investors,” and reported that 5 to 7 percent of revenue comes from “distillation”—rivals using Claude to train competing systems—so a crackdown on copycats “could be hurting its reported revenue growth” and raises the possibility that earlier “spectacular growth” was “artificially boosted by rivals paying to copy its models.” BBC noted the profit claim was only “on an adjusted basis, an accounting method which ignores non-recurring costs.”
The Right View
Right-leaning coverage framed the briefing as Anthropic’s bid to show that commercial scale can support a landmark listing. The New York Post described the offering as “an early test of investor appetite for heavily unprofitable AI developers pursuing massive scale,” expected to precede a listing by rival OpenAI and likely delayed until after the November midterm elections, with the company “targeting a valuation of over $2 trillion.” It said Anthropic is “seeking to convince investors that its breakneck revenue growth can eventually outrun the enormous costs of building and running AI systems,” citing committed future spending of hundreds of billions of dollars on cloud services, computing, and infrastructure. The coverage highlighted that the company was founded by former OpenAI executives and is underpinned by Alphabet’s Google and Amazon as simultaneous investors, computing suppliers, distribution partners, and competitors. Safety was presented as a brand distinction: Anthropic “sought to distinguish itself through its focus on AI safety” while still racing to commercialize more powerful models, and its research found that its own AI agents in test environments leaked sensitive information and sabotaged code, though the company said it has not seen evidence of such misalignment in real-world deployments.
Our Take (balanced)
The left’s strongest argument is that the IPO story depends on growth whose composition is unsettled: Business Insider’s account that 5 to 7 percent of revenue is distillation and is expected to decline as copycats are blocked, paired with BBC’s stress that profit was claimed only “on an adjusted basis,” supports the concern that earlier acceleration was partly inflated and that sequential growth is already cooling. The right’s strongest argument is that Anthropic is still putting a cash-generating AI business in front of public-market investors: the New York Post’s case that growth must “outrun the enormous costs,” with a target valuation “over $2 trillion” and huge locked-in infrastructure commitments, rests on the company’s claim of being cash-flow positive while scaling Claude. The central unresolved tension is whether those third-quarter results measure durable customer demand—or a blend of copycat usage, adjusted accounting, and compute spending that public shareholders have not yet had to underwrite.

8 sources

More stories

The week's bottom lines, in your inbox

One email a week: the five stories that mattered and what they actually mean. Free.