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Anthropic reportedly weighing new model launch ahead of possible $2 trillion November IPO

All four outlets report that Anthropic is evaluating the release of a new AI model as competition with OpenAI’s GPT‑6 Astra intensifies. The company is also preparing for a possible initial public offering in November that could value it at roughly $2 trillion and raise up to $100 billion, while its annualized revenue run rate topped $65 billion by the end of July.

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Key points

  • Anthropic is evaluating a new AI model launch as OpenAI’s GPT‑6 Astra gains enterprise traction.
  • A potential November IPO could value Anthropic around $2 trillion and raise up to $100 billion.
  • Anthropic’s annualized revenue run rate exceeded $65 billion by July, while GPT‑6 Astra captured ~13% of enterprise AI spend versus Anthropic’s ~8%.

Note.com adds several details not found elsewhere: it cites OpenAI’s own projection of about $278 billion in cash burn from 2026‑2030 and $856 billion in compute spend, mentions an antitrust lawsuit filed against Anthropic, OpenAI, SpaceXAI and Google, and reports President Donald Trump’s plan to appoint an “AI czar” and create an “AI Force.” It also notes that the Wall Street Journal says Anthropic pushed its IPO back from October to November. Cryptobriefing points out market pricing that could push Anthropic’s valuation above $2 trillion by December 31, a nuance absent from the other reports.

Model page: GPT-6 Astra →

The story so far

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  1. Anthropic reportedly weighing new model launch ahead of possible $2 trillion November IPOthis story
Full story from blockonomi.com · by Trader Edge · via Search: AnthropicOpen source ↗

Anthropic Eyes AI Model Release Ahead of Potential $2 Trillion November IPO

blockonomi.com · 19 September 2026

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This text was published by blockonomi.com and written by Trader Edge. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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