Damodaran评Anthropic IPO：将按ARR定价而非现金流
估值教授拆解Anthropic和OpenAI的IPO定价逻辑，把ARR比作当年的网站流量，口径混乱这一点很扎心。
NYU教授Aswath Damodaran发文称Anthropic的IPO将按run-rate收入定价。Anthropic 2026上半年亏损87亿美元，OpenAI同期亏损216亿美元，排除了盈利倍数估值。ARR口径不统一：Anthropic 650亿美元按总额计，OpenAI 500亿美元按净额计，毛额换算后约为700亿美元。在1.5万亿至2万亿美元估值区间，Anthropic按当前和年底ARR更便宜，OpenAI按2030年收入、算力和用户数更便宜。
NYU professor Aswath Damodaran ("Dean of Valuation"), published a long blog and says Anthropic’s IPO will be priced on run-rate revenue rather than valued on cash flows.
> Justifying a $1.5T to $2T value for Anthropic requires very fast early growth, operating margins rising to 30% or more, compute costs growing slower than revenue, and risk falling to average as regulation and business models settle.
> H1 2026 losses of $8.7B at Anthropic and $21.6B at OpenAI, excluding non-cash charges, rule out earnings multiples, making ARR the AI equivalent of dot-com eyeballs and social-media user counts.
> ARR has no standard: OpenAI’s $50B counts partner sales net, Anthropic’s $65B counts them gross, and grossing up OpenAI produced the roughly $70B figure investors circulated. Both annualize monthly, a choice either can change.
> VC rounds here price the IPO rather than value the business: Anthropic’s May round raised $65B at $965B post-money when expected IPO pricing was $1.15T, a haircut for delay or disappointment.
> Pricing will likely migrate to 2030 or 2036 revenue and earnings, where 25 times 2036 earnings looks cheap only when wrongly compared with today’s multiples on current earnings.
> The cheaper lab depends on the yardstick: at $1.5T to $2T, Anthropic looks cheaper on current and year-end ARR, OpenAI on 2030 revenue, compute and users, and both may simply be overpriced.
> No listed pure-play peer exists, since Gemini sits inside Alphabet, xAI inside SpaceX and Muse inside Meta, so Anthropic will be priced against OpenAI’s private rounds or the Mag 7 and SpaceX.
