OpenAI’s models now reach more than 1 billion active users and 2 million businesses, Chief Financial Officer Sarah Friar wrote in a blog post published Friday, a milestone that arrives alongside steep price reductions on two flagship models and a performance boost on a third.
The user count, disclosed without a prior-period comparison, reflects what Friar described as deepening engagement: after six months, individuals send 50 percent more messages per day and apply ChatGPT to twice as many task categories as they did at the start. Business adoption follows a similar pattern, expanding from a single team or workflow to broader operations over time.
The blog post followed a Thursday announcement that OpenAI cut the price of GPT-5.6 Luna by 80 percent, reduced GPT-5.6 Terra by 20 percent, and accelerated GPT-5.6 Sol in the API without changing its price. Friar framed the moves as expanding the range of work that becomes practical rather than a simple price-list adjustment.
PYMNTS Intelligence data published concurrently suggests the habit-formation path runs through small, repeatable tasks, finding product links, drafting messages, checking symptoms, while a separate report places financial services and insurance among the sectors with the highest enterprise adoption, concentrated in structured, auditable back-office functions.
Friar acknowledged the early stage, arguing that more capable systems will eventually complete longer projects, coordinate across tools, and hand capabilities once reserved for large organizations to individuals and small businesses. The claim rests on product roadmap rather than demonstrated revenue impact.
Investors will watch whether the price cuts accelerate enterprise seat expansion enough to offset margin pressure, and whether the 1 billion user figure translates into recurring revenue density or remains a broad engagement metric without a disclosed paid conversion rate.