OpenAI CFO Sarah Friar outlines how the company's business model has evolved to scale with the value of intelligence delivered. What began as a ChatGPT research preview became daily infrastructure for work and life, driving unprecedented adoption. The company's revenue growth has directly tracked its compute capacity, creating a flywheel effect.

The platform now spans consumer subscriptions, workplace plans, and usage-based APIs, with costs scaling as intelligence delivers outcomes. Compute remains the scarcest resource, and OpenAI has diversified from a single provider to a resilient ecosystem. This allows them to train premium models while serving high-volume workloads efficiently, making AI viable for everyday workflows.

Looking ahead, the focus is on practical adoption in health, science, and enterprise. As AI moves into agents and workflow automation, new economic models like licensing and outcome-based pricing will emerge. The cycle of compute investment funding research, which drives products and revenue, is designed to compound and fund the next leap in intelligence.