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It’s hard to lose money selling a $200 a month subscription, but OpenAI is doing exactly that

OpenAI is currently losing money on its newest and most expensive subscription, ChatGPT Pro, because people are using it more than the company expected, Sam Altman said in a post on Sunday.

In a series of posts on X, Altman disclosed that he “personally chose the price” because he thought “we would make some money.” Released on December 5, ChatGPT Pro offers unlimited access to the company’s latest models, including a “full” version of the latest OpenAI o1 model that can be used to “think harder and provide even better answers to the hardest questions.”

Years ago, when asked how OpenAI would make money for its investors, Altman joked — or maybe not joked — that they would “build a generally intelligent system, that basically we will ask it to figure out a way to make an investment return for you.” Clearly, they haven’t got the answer yet.

ChatGPT Pro being a money loser is the latest addition to OpenAI’s list of reasons to raise as much capital as possible. Despite being valued at a staggering $157 billion, the company is far from profitable: OpenAI reportedly expected $3.7 billion in revenue by the end of 2024, but also anticipated spending ~$8.7 billion to achieve that revenue, equating to a ~$5 billion loss.

Partly in an effort to attract investors, OpenAI has plans for a corporate restructuring and is said to be raising its subscription prices in the coming years. That would help the company achieve its lofty $100 billion revenue target by 2029, a mammoth sum which, purely in revenue terms, would be more than what Nvidia managed in its fiscal year 2024 and similar to corporate giants like Disney and PepsiCo.

OpenAI
Sherwood News

Go Deeper: What company’s past reveals the future of OpenAI?

In a series of posts on X, Altman disclosed that he “personally chose the price” because he thought “we would make some money.” Released on December 5, ChatGPT Pro offers unlimited access to the company’s latest models, including a “full” version of the latest OpenAI o1 model that can be used to “think harder and provide even better answers to the hardest questions.”

Years ago, when asked how OpenAI would make money for its investors, Altman joked — or maybe not joked — that they would “build a generally intelligent system, that basically we will ask it to figure out a way to make an investment return for you.” Clearly, they haven’t got the answer yet.

ChatGPT Pro being a money loser is the latest addition to OpenAI’s list of reasons to raise as much capital as possible. Despite being valued at a staggering $157 billion, the company is far from profitable: OpenAI reportedly expected $3.7 billion in revenue by the end of 2024, but also anticipated spending ~$8.7 billion to achieve that revenue, equating to a ~$5 billion loss.

Partly in an effort to attract investors, OpenAI has plans for a corporate restructuring and is said to be raising its subscription prices in the coming years. That would help the company achieve its lofty $100 billion revenue target by 2029, a mammoth sum which, purely in revenue terms, would be more than what Nvidia managed in its fiscal year 2024 and similar to corporate giants like Disney and PepsiCo.

OpenAI
Sherwood News

Go Deeper: What company’s past reveals the future of OpenAI?

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ChatGPT Images 2.0 sample aliens

OpenAI releases new image generation model with complex capabilities

ChatGPT Images 2.0 marks a big leap forward in image generation as OpenAI seeks to distinguish its features from Anthropic’s Claude.

tech
Jon Keegan

Report: Google DeepMind builds “strike team” to catch up to Anthropic models

Anthropic’s recent momentum, powered by the success of its popular Claude Code tool, is turning up the heat among its AI competitors — not only for its AI startup peer OpenAI, but also with established Big Tech giants like Google.

The Information reports that within Google DeepMind, a “strike team” has been assembled to make a serious push to improve Gemini’s coding capabilities. According to the report, leaders within Google, including cofounder Sergey Brin, are sounding the alarm after determining that Anthropic’s Claude has superior coding skills. The new team’s goal is to create a AI system that can improve itself.

“To win the final sprint, we must urgently bridge the gap in agentic execution and turn our models into primary developers,” Brin wrote in a recent memo to DeepMind staff.

The Information reports that within Google DeepMind, a “strike team” has been assembled to make a serious push to improve Gemini’s coding capabilities. According to the report, leaders within Google, including cofounder Sergey Brin, are sounding the alarm after determining that Anthropic’s Claude has superior coding skills. The new team’s goal is to create a AI system that can improve itself.

“To win the final sprint, we must urgently bridge the gap in agentic execution and turn our models into primary developers,” Brin wrote in a recent memo to DeepMind staff.

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