OpenAI's enterprise revenue overtakes consumer, CFO tells investors
OpenAI's business just crossed a milestone it didn't expect to reach until year-end: enterprise now generates more revenue than the ChatGPT-led consumer business, CFO Sarah Friar told investors on Friday.
Friar said the two revenue lines "have now crossed," with enterprise accounting for the majority of OpenAI's revenue — months ahead of the company's own forecast. "We entered the year at 60-40, but enterprise has accelerated much faster than expected and those lines have now crossed," she said during a meeting with current shareholders, according to a person in attendance who asked not to be named. "The majority of our revenue is now enterprise." Earlier this year, Friar told CNBC the company expected the businesses to reach parity by the end of 2026. Enterprise overtaking consumer that quickly is a signal about where the growth really is — and about what OpenAI's IPO story will emphasize.
The meeting was scheduled before this week's upheaval in OpenAI's C-suite: chief revenue officer Denise Dresser stepped down after just eight months on the job, and longtime executive Brad Lightcap ended an eight-year stint. President Greg Brockman joined the call, thanked Dresser for building the enterprise foundation, and voiced excitement about her replacement, Dali Rajic, the former Wiz operating chief who was introduced to OpenAI through Thrive founder Josh Kushner. Brockman brushed off the threat from cheaper open-source Chinese models, and executives declined to discuss IPO timing, citing the confidential SEC filing.
The mix shift rides on fast growth. OpenAI's annualized revenue run rate has hit $40 billion — Bloomberg first reported the figure, and CNBC confirmed it — after rising 20% month over month in July, with business customers growing even faster, up 32%. Friar framed the change as a shift in customer behavior: the era of "tokenmaxxing," when companies let employees rack up huge AI bills without demanding output, is over. "Enterprise customers have moved from tokenmaxxing to focusing on cost per unit of intelligence," she said, pointing to the newest model being 54% more efficient on agentic coding tasks and to recent price cuts across the model lineup. Advertising, tested in ChatGPT since February, is also approaching a $1 billion run rate.
Why it matters: the revenue mix is becoming OpenAI's most important metric ahead of its IPO. Consumer growth made ChatGPT a household name, but enterprise revenue is stickier and more defensible — which is exactly the story a company wants to tell public investors after a week of executive departures. The "cost per unit of intelligence" framing also signals that OpenAI is competing on efficiency, not just capability, as open-weight rivals undercut it on price.
We covered the run-rate milestone earlier this week — OpenAI's revenue run rate tops $40B ahead of IPO.
What to watch: whether the enterprise-first mix reshapes how investors price the IPO — and how fast advertising scales past a $1 billion run rate.
Does an enterprise-led revenue mix make OpenAI a stronger IPO bet than its consumer story? Tell us in the comments.
