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LW - [EAForum xpost] A breakdown of OpenAI's revenue by dschwarz
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Manage episode 428347622 series 3337129
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: [EAForum xpost] A breakdown of OpenAI's revenue, published by dschwarz on July 10, 2024 on LessWrong.
We estimate that, as of June 12, 2024, OpenAI has an annualized revenue (ARR) of:
$1.9B for ChatGPT Plus (7.7M global subscribers),
$714M from ChatGPT Enterprise (1.2M seats),
$510M from the API, and
$290M from ChatGPT Team (from 980k seats)
(Full report in https://app.futuresearch.ai/reports/3Li1, methods described in https://futuresearch.ai/openai-revenue-report.)
We looked into OpenAI's revenue because financial information should be a strong indicator of the business decisions they make in the coming months, and hence an indicator of their research priorities.
Our methods in brief: we searched exhaustively for all public information on OpenAI's finances, and filtered it to reliable data points. From this, we selected a method of calculation that required the minimal amount of inference of missing information.
To infer the missing information, we used the standard techniques of forecasters: fermi estimates, and base rates / analogies.
We're fairly confident that the true values are relatively close to what we report. We're still working on methods to assign confidence intervals on the final answers given the confidence intervals of all of the intermediate variables.
Inside the full report, you can see which of our estimates are most speculative, e.g. using the ratio of Enterprise seats to Teams seats from comparable apps; or inferring the US to non-US subscriber base across platforms from numbers about mobile subscribers, or inferring growth rates from just a few data points.
Overall, these numbers imply to us that:
Sam Altman's surprising claim of $3.4B ARR on June 12 seems quite plausible, despite skepticism people raised at the time.
Apps (consumer and enterprise) are much more important to OpenAI than the API.
Consumers are much more important to OpenAI than enterprises, as reflected in all their recent demos, but the enterprise growth rate is so high that this may change abruptly.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
1851 episódios
Série arquivada ("Feed inativo " status)
When? This feed was archived on October 23, 2024 10:10 (). Last successful fetch was on September 22, 2024 16:12 ()
Why? Feed inativo status. Nossos servidores foram incapazes de recuperar um feed de podcast válido por um período razoável.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 428347622 series 3337129
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: [EAForum xpost] A breakdown of OpenAI's revenue, published by dschwarz on July 10, 2024 on LessWrong.
We estimate that, as of June 12, 2024, OpenAI has an annualized revenue (ARR) of:
$1.9B for ChatGPT Plus (7.7M global subscribers),
$714M from ChatGPT Enterprise (1.2M seats),
$510M from the API, and
$290M from ChatGPT Team (from 980k seats)
(Full report in https://app.futuresearch.ai/reports/3Li1, methods described in https://futuresearch.ai/openai-revenue-report.)
We looked into OpenAI's revenue because financial information should be a strong indicator of the business decisions they make in the coming months, and hence an indicator of their research priorities.
Our methods in brief: we searched exhaustively for all public information on OpenAI's finances, and filtered it to reliable data points. From this, we selected a method of calculation that required the minimal amount of inference of missing information.
To infer the missing information, we used the standard techniques of forecasters: fermi estimates, and base rates / analogies.
We're fairly confident that the true values are relatively close to what we report. We're still working on methods to assign confidence intervals on the final answers given the confidence intervals of all of the intermediate variables.
Inside the full report, you can see which of our estimates are most speculative, e.g. using the ratio of Enterprise seats to Teams seats from comparable apps; or inferring the US to non-US subscriber base across platforms from numbers about mobile subscribers, or inferring growth rates from just a few data points.
Overall, these numbers imply to us that:
Sam Altman's surprising claim of $3.4B ARR on June 12 seems quite plausible, despite skepticism people raised at the time.
Apps (consumer and enterprise) are much more important to OpenAI than the API.
Consumers are much more important to OpenAI than enterprises, as reflected in all their recent demos, but the enterprise growth rate is so high that this may change abruptly.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
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