A business that scales with the value of intelligence

We launched ChatGPT as a research preview to understand what would happen if we put frontier intelligence directly in people’s hands.

What followed was broad adoption and deep usage on a scale that no one predicted.

More than experimenting with AI, people folded ChatGPT into their lives. Students started using it to untangle homework they were stuck on late at night. Parents started using it to plan trips and manage budgets. Writers used it to break through blank pages. More and more, people used it to understand their lives. People used ChatGPT to help make sense of health symptoms, prepare for doctor visits, and navigate complex decisions. People used it to think more clearly when they were tired, stressed, or unsure.

Then they brought that leverage to work.

At first, it showed up in small ways. A draft refined before a meeting. A spreadsheet checked one more time. A customer email rewritten to land the right tone. Very quickly, it became part of daily workflows. Engineers reasoned through code faster. Marketers shaped campaigns with sharper insight. Finance teams modeled scenarios with greater clarity. Managers prepared for hard conversations with better context.

What began as a tool for curiosity became infrastructure that helps people create more, decide faster, and operate at a higher level.

That transition sits at the heart of how we build OpenAI. We are a research and deployment company. Our job is to close the distance between where intelligence is advancing and how individuals, companies, and countries actually adopt and use it.

As ChatGPT became a tool people rely on every day to get real work done, we followed a simple and enduring principle: our business model should scale with the value intelligence delivers.

Across every path, we apply the same standard. Monetization should feel native to the experience. If it does not add value, it does not belong.