OpenAI’s CFO provided an update on the company’s plans for monetizing its services and explained its priorities for 2026.
Sarah Fryer explained that the ChatGPT developer focus over the next 12 months was on “practical adoption”. blog Post this week.
The company is investing heavily in infrastructure, which is encouraging Test Its finances have a clear focus on increasing the use of its products. Fryer said a key goal for 2026 is to “close the gap between what AI makes possible now and how people, companies and countries are using it day-to-day.”
“The opportunity is huge and immediate, especially in health, science and enterprise, where better intelligence translates directly into better outcomes,” he said.
Charting the company’s growth over the past three years, Fryer revealed a relationship between compute availability and annual revenue.
In 2023, the available count was 0.2 GW, while this is expected to triple to 0.6 GW in 2024 and about 1.9 GW in 2025.
Over the same period, annual recurring revenue grew from $2 billion in 2023 to $6 billion next year, and then more than $20 billion over the past 12 months.
“An increase on this scale has never been seen before,” Fryer added. “And we strongly believe that higher compute in these periods will drive faster customer adoption and monetization.”
While superficially this appears positive, the widespread concern is that this expansion of infrastructure comes at a huge cost, and OpenAI’s expense commitments far exceed its revenues, even allowing rapid growth.
In a November 6 post on X, CEO Sam Altman, formerly of Twitter, Said: “We’re looking at a commitment of about $1.4 trillion over the next 8 years. Obviously this requires continued revenue growth, and each doubling (of revenue) is a lot of work!”
Amidst this scenario, OpenAI is considering ways to raise capital, with the company already committed to some levels Despite Altman’s previous claim that it “would be” ChatGPT’slast resort”
More strategic commercialization is on the way, Fryer said: “As intelligence advances into scientific research, drug discovery, energy systems and financial modeling, new economic models will emerge. Licensing, IP-based agreements and outcome-based pricing will share in the value created. That’s how the Internet evolved. Intelligence will follow the same path.”
He provided more details during a company podcast How licensing might work. “Let’s say in drug discovery, if we licensed our technology, you would have a breakthrough,” she said. “The drug is trending, and we get a licensed portion of all its sales.”
Although that scenario may still be some way off, Fryer has been extremely transparent about the company’s need to generate income. “Monetization should be at the core of the experience. If it doesn’t add value, it doesn’t matter,” he said.
