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Elevenlabs just doubled its valuation to $22 billion, and the reason is not dubbing

Yethikrishna ROriginal on Threads

elevenlabs just doubled its valuation to $22 billion, and the reason is not dubbing: ai voice has moved from content tools to what the market calls “phone employees”, handling refunds, insurance renewals and sales calls. google can already call a business on your behalf for home repair or pet care, and the economics run about 40 cents per ai call versus 7 dollars for a human one.

the telephone is becoming an api.

Context

ElevenLabs said on Sep 30, 2026 that its valuation reached $22 billion after a $300 million employee tender offer, fueled by enterprise demand for conversational agents. CX Foundation says that is double its Series D valuation of Feb 4, 2026.

WIRED (Sep 24, 2026) reports Google's Gemini can now make calls for you on Pixel phones, and Androguider says the feature phones local businesses to verify hours, pricing and availability, launching first in the US for paying Gemini users.

How it compares

The $22 billion valuation, set Sep 30, 2026 after an employee tender, matches ElevenLabs. The company's own post ties it to enterprise demand for conversational agents. The phone employee framing for refunds and insurance renewals and the 40 cents versus 7 dollars per call were not seen in the sources read, so unsupported here, not refuted. The Google calling feature is described as in testing for Pixel and paying Gemini users, not as available to everyone. 'The telephone is becoming an api' is the author's opinion.

Related work

Watch next

  • Find the source for the 40 cents per AI call figure.

Sources

  1. ElevenLabs: reaches $22bn valuation after employee tenderelevenlabs.io
  2. CX Foundation: what the ElevenLabs $22B valuation meanscxfoundation.com
  3. WIRED: Google's Gemini can now make calls for you on Pixel phoneswired.com

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 1 October 2026 at 15:49 IST. Sources are the papers and datasets the note draws on.

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