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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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Anthropic will sue the Pentagon over supply chain risk designation, Amodei says

Anthropic CEO Dario Amodei said in a public post that the company will sue the Pentagon after receiving a letter from the Department of Defense officially designating Anthropic as “a supply chain risk to America’s national security.”

Amodei says that the effect of the unprecedented designation for an American company is more narrow than originally described, and that most of its customers would not be affected.

“With respect to our customers, it plainly applies only to the use of Claude by customers as a direct part of contracts with the Department of War, not all use of Claude by customers who have such contracts.”

Amodei says the company does not “believe this action is legally sound, and we see no choice but to challenge it in court.”

The CEO also apologized for statements he made in a leaked internal memo in which he claimed that the company was targeted because it didn’t show “dictator-style praise” for President Trump.

“With respect to our customers, it plainly applies only to the use of Claude by customers as a direct part of contracts with the Department of War, not all use of Claude by customers who have such contracts.”

Amodei says the company does not “believe this action is legally sound, and we see no choice but to challenge it in court.”

The CEO also apologized for statements he made in a leaked internal memo in which he claimed that the company was targeted because it didn’t show “dictator-style praise” for President Trump.

$40B💰

SoftBank is going to great lengths to double down on OpenAI — including taking on significant debt. After completing a $40 billion investment to become one of the ChatGPT maker’s largest backers, the Japanese conglomerate is now seeking a roughly $40 billion loan with a 12-month term, Bloomberg reports.

The financing would be SoftBank’s largest-ever dollar-denominated deal. The AI investment has helped lift profits, but it is also pressuring SoftBank’s credit profile.

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OpenAI releases GPT-5.4 with more “professional work” skills

Feeling the heat from Anthropic’s success with enterprise customers, OpenAI released GPT-5.4, a new model that excels at “professional work.”

OpenAI says the new model has improved capabilities for “professional tasks involving spreadsheets, presentations, and documents. The result is a model that gets complex real work done accurately, effectively, and efficiently — delivering what you asked for with less back and forth.”

The company says the model has advanced computer use skills and supports up to 1 million tokens of context — a measure of the maximum amount of information that can be read and accessed when generating a response, allowing for more complex tasks.

The company says the model has advanced computer use skills and supports up to 1 million tokens of context — a measure of the maximum amount of information that can be read and accessed when generating a response, allowing for more complex tasks.

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