OpenAI CFO Sarah Friar said the company now serves 1 billion users and 2 million businesses. The firm also cut model prices, with GPT-5.6 Luna dropping 80%.
Alpha Score of 73 reflects strong overall profile with strong momentum, weak value, strong quality, strong sentiment.
OpenAI's models now reach more than 1 billion active users and more than 2 million businesses, Chief Financial Officer Sarah Friar said in a blog post Friday.
Individuals who use the technology for six months send 50% more messages each day and use ChatGPT for twice as many kinds of work, Friar said. Companies often start with one team or workflow and expand across operations. "We are still early," she said. Friar added that more capable systems will complete longer projects and coordinate across tools, giving individuals and small businesses capabilities once available only to larger organizations.
The usage patterns align with a PYMNTS Intelligence report on consumer AI habits. The study found that generative AI becomes a mass habit through small, repeatable tasks such as finding product links and drafting texts. Another PYMNTS report showed that financial services and insurance firms are among the highest adopters of enterprise AI, particularly for structured back-office functions.
A day before the blog post, OpenAI announced price and performance changes to three models. The company cut the price of GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20%. It also made GPT-5.6 Sol faster in the API while leaving the price unchanged. Friar said the changes "expand the range of work that becomes practical and give customers more flexibility to balance intelligence, speed, reliability and cost."
The user growth and cost reductions accompany a shift from experimentation to routine use. NVIDIA, the dominant supplier of AI training chips, is a direct beneficiary of that trend. The company does not disclose OpenAI-specific revenue. AI infrastructure providers from chipmakers to data center operators benefit from growing usage.
The 80% reduction on the Luna model makes advanced AI cheaper for startups and mid-market firms. Cheaper access tends to broaden the user base, generating more data for model improvement. The user base alone gives the company bargaining power in negotiations with cloud providers and chip suppliers, some analysts said. The PYMNTS report on financial services noted that AI adoption in regulated industries tends to be slower, then stickier once compliance is proved.
The changes took effect on Friday, July 31.
Drafted by a large language model from the source reporting linked above, then screened by automated publishing checks. It is not read by a journalist before publication. Some articles cite our Alpha Score. Verify prices and figures against the original source. Educational coverage, not personalized advice.