Invest1 distinct publisher3 min readUpdated
A reported climb from about $9B to $65B of run rate in seven months is being priced off 2028 forecasts. Whoever lists first sets the multiple your existing AI marks get argued against.
The Investor · Invest desk

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Anthropic's annualized revenue run rate reportedly topped $65 billion by late July, up from roughly $9 billion at the end of 2025, and bankers are now treating its expected IPO as the valuation benchmark for the wider AI sector [1][2]. Investment banks have told both Anthropic and OpenAI that whichever lists first will "create a model for the entire industry," which is the part that reaches your book: the first large AI listing sets the comparable that every private AI mark, including the ones you already own, gets argued against [3].
The mechanism is the interesting bit. Anthropic told participants in the IPO process that it expects 2028 revenue in a range the article prints as "$190 million to $200 million," previously undisclosed [6]. Banks are applying enterprise-value-to-revenue multiples to those 2028 projections rather than to actual current revenue, an approach normally reserved for high-growth private software [7]. The May Series H valuation of $965 billion works out to about five times the 2028 target [8], and 965 divided by 190 is 5.1, so the 2028 figure is plainly billions and the "million" is a typo [2].
Cryptopolitan sets that 5x against Palantir at roughly 53 times anticipated revenue and SpaceX and Cloudflare at about 41.6 times [9]. Those comparables use 2026 estimates while Anthropic's uses 2028, two extra years of assumed compounding in the denominator, so the gap is smaller than it looks [7]. Anthropic is reportedly seeking more than $2 trillion, which would be the largest IPO ever [4]. On the 2028 number that ask is about 10.5 times revenue [3]; on the current run rate it is about 31 times [4].
Treat the growth line with care. Run rate is an estimate of forward annual revenue extrapolated from recent history, not booked revenue [18]. Anthropic said in May that "our run-rate revenue crossed $47 billion earlier this month" [10], and the sequence runs $9 billion, then $47 billion, then $65 billion [11]. The same article calls that a tripling in seven months [19]; 65 over 9 is 7.2 times, so its own headline understates its own data [1]. Investors expect $100 billion to $120 billion of 2026 revenue, per the Financial Times [12], or 1.5 to 1.8 times the current run rate [5]. OpenAI has doubled to $40 billion from $20 billion at the end of 2025 [13], and the two companies may not measure revenue the same way [14].
Demand evidence is thinner than the multiple implies. Ramp's July AI Index puts Anthropic ahead of OpenAI on US business adoption, 43.5 percent of companies paying for subscriptions or tokens versus 39.7 percent [15], a lead of 3.8 points [6], and Ramp's own data also shows limits on how much firms will commit to frontier AI [21]. The 2028 forecast assumes revenue keeps outrunning the cost of chips, training and talent [17]. One more reason to wait for filed numbers: the same article says Anthropic "raised $65 billion in May" from Altimeter, Dragoneer, Greenoaks and Sequoia, a figure identical to the run rate it reports elsewhere [16].
Watch three things. Whether Anthropic actually lists before OpenAI, possibly this autumn [5]. Whether the 2028 range survives into a prospectus with segment detail behind it [6]. And whether public buyers accept a forward-year revenue base at all, because the article's own conclusion is that acceptance makes it easier for other AI companies to defend their multiples [20]. Rejection prices your portfolio off trailing revenue instead, and that arithmetic is much less friendly.
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Ranked by verification strength, evidence, and original report placement.
Ramp's July AI Index indicates Anthropic leads OpenAI in US business adoption, with 43.5% of American companies paying for its subscriptions or tokens compared with 39.7% for OpenAI.
Cryptopolitan compared Anthropic with Palantir at about 53 times anticipated revenues and SpaceX and Cloudflare at approximately 41.6 times, calculated using 2026 estimates.
The 2028 forecast assumes revenue can continue exceeding the expenses of chips, model training and talent.
Run rate is defined in the article as the estimate for future annual revenue based on recent history.
The article's own subheading describes the figure as "A run rate that tripled in seven months."
Anthropic's US business adoption lead over OpenAI in Ramp's July index is 3.8 percentage points.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Single aggregator, second-hand and self-contradictory
All claims rest on one crypto-media article relaying Bloomberg, FT and Reuters without links, with anonymous bankers and investors. The source contradicts itself on the 2028 guidance units and on the magnitude of run-rate growth, and prints a $65B May raise that duplicates its own run-rate number. Only the Ramp percentages and the quoted Anthropic May statement are specific enough to be checkable.
Real paid enterprise usage, relayed at low resolution
There is a concrete third-party adoption datapoint (Ramp's July index: 43.5% versus 39.7% of US companies paying) plus company-reported run-rate growth, which together indicate broad paid commercial usage. But the figures are relayed rather than sourced directly, the run-rate series is not corroborated, and the asserted constraint on frontier AI spend is given with no numbers, so depth of usage and durability are unmeasured.
Sector-reset framing far ahead of its evidence
The story claims a single listing will rewrite how the whole AI sector is valued, at a >$2T target implying roughly 10.5x 2028 forecast revenue and about 31x current run rate, while its own numbers are internally inconsistent and its peer comparables are struck two years apart. The measurable core, Ramp's 3.8-point adoption lead and a company-stated May run rate, is far narrower than the conclusion drawn from it.
Fee-driven sources and a promotional publisher
The benchmark narrative is voiced by unnamed investment banks that would earn fees from the listing and by investors already holding pre-IPO marks that a high comp would validate, and the article itself notes that public acceptance of forward multiples would make other AI firms' valuations easier to justify. The publisher is a crypto outlet that closes the piece with a newsletter solicitation, and its FAQ cites its own prior coverage as a source.
Low: one relaying publisher with unreconciled errors
Directionally the story may be tracking real reporting from Bloomberg, FT and Reuters, but within the supplied material there is a single publisher, no primary documents, and demonstrable internal contradictions in the numbers that carry the thesis. Confidence is limited to the existence of the narrative, not to its magnitudes.
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1 article · August 17, 2026