Synthetic intelligence is now being handled as core financial infrastructure, and OpenAI CFO Sarah Friar says most organizations are barely scratching the floor of what it will probably do.
Friar wrote a LinkedIn submit on Monday reflecting on her expertise on the annual assembly of the World Financial Discussion board (WEF) in Davos final week. “This year felt different,” she writes. AI is not only a facet dialog or a future guess, she defined. AI is presently being evaluated as core financial and strategic infrastructure, just like geopolitics, power, and safety, she famous.
OpenAI’s finance chief since June 2024, Friar highlighted “capability overhang” as an idea that stored resurfacing at Davos—the hole between what AI can already do and the worth organizations truly seize. In keeping with Friar, there’s a mismatch between at this time’s highly effective AI capabilities and the comparatively shallow means most individuals and corporations use them, with superior instruments nonetheless solely calmly built-in into actual workflows and decision-making.
“Experience and execution are closing that gap faster than any amount of rhetoric,” she writes. “At OpenAI, we see that frontier users use seven times the amount of intelligence than the average user—they’re going deep on coding, deep research, and pushing the models to really be thought partners.”
Alongside these strains, OpenAI not too long ago launched Ending the Functionality Overhang, new analysis documenting the phenomenon. The researchers noticed a transparent country-level hole that’s not pushed by earnings alone. Throughout greater than 70 international locations the place ChatGPT is extensively used, some international locations use superior AI options 3 times greater than others, per particular person.
Apparently, whereas massive economies just like the U.S. and India have essentially the most whole customers, and small rich nations like Singapore and the Netherlands use AI essentially the most per capita, superior AI adoption is spreading all over the place, in keeping with the researchers. In the meantime, international locations like Pakistan and Vietnam are among the many world’s greatest customers of agentic instruments, utilizing them greater than twice as typically as common.
In essence, some international locations are already utilizing AI to sort out more durable issues and transfer quicker, no matter their sources. These early adopters are seeing actual productiveness good points: Their staff can concentrate on extra advanced work, new services, and speed up innovation in ways in which drive financial development and enhance residing requirements, OpenAI finds.
One other second that resonated with Friar in Davos was the WEF CFO gathering, which “reinforced how pragmatic finance leaders are,” she writes, including that there’s “broad conviction that AI is inevitable, but deployment hinges on ROI, clean data, and simpler systems; this is a change-management challenge, not a belief gap.”
That target tangible outcomes is mirrored in OpenAI’s personal latest efficiency. In an interview with Fox’s Maria Bartiromo final week, Friar stated, “An IPO isn’t off the table; it’s a question of when.”
OpenAI was valued at round $500 billion in its most up-to-date accomplished share sale. In 2023, income reached $2 billion in annual recurring income; it rose to $6 billion in 2024 and jumped to greater than $20 billion in 2025, in keeping with Friar’s Jan. 18 weblog submit.
This income development carefully tracked an growth in computing capability. OpenAI’s computing capability rose from 0.2 gigawatts (GW) in 2023 to 0.6GW in 2024 and about 1.9GW in 2025.
Past infrastructure investments, OpenAI can also be increasing into new consumer-facing domains. The corporate introduced earlier this month the debut of ChatGPT Well being—a devoted expertise inside ChatGPT the place it says customers can securely join medical data and wellness apps reminiscent of Apple Well being, Perform, and MyFitnessPal to additional personalize conversations. The corporate acknowledged it will not prepare its fashions on private medical information, Fortune reported.
The corporate’s technique of mixing infrastructure growth with sensible, domain-specific purposes displays the pragmatic method to AI deployment that Friar noticed amongst finance leaders in Davos.
This story was initially featured on Fortune.com
