The Work Now Within Reach

AI is expanding what people and businesses can achieve. Ideas once held back by time, cost, or access to expertise are becoming practical to pursue. That opens the door to breakthroughs in human achievement, to new businesses, new markets, and new possibilities. OpenAI is built to help realize these ambitions.

GPT‑6 Astra ⁠ is a major step forward in AI capability. It is the world’s most intelligent and aligned model, and is state-of-the-art in areas such as computer use, browsing, software engineering, cybersecurity, science, and professional work.

OpenAI is built to turn this research progress into broad benefit for people and organizations around the world. Our broad reach across both consumer and enterprise means new capabilities have a direct route to customers through products they already use. And our full stack compute strategy gives us greater control over the capacity, performance, and the cost of delivering that intelligence.

We see this in the work of our own team. A recent update from our research team ⁠ shows how researchers are contributing code faster and running more experiments while delegating increasingly complex tasks to agents. Teams are leveraging agents to resolve infrastructure problems that once required specialist support. The research organization now uses 3.1 agent-workdays of effort for every workday of human labor.

These advantages compound. Better models open up new work. More efficient compute makes that work affordable at a greater scale. Revenue from growing adoption funds further research and infrastructure, strengthening our ability to pursue the next breakthrough and bring it to people everywhere.

Our products reach more than one billion weekly active users and 2.5 million businesses. Every research advance improves ChatGPT, ChatGPT Work, Codex, and applications built on our API. One investment in model research supports many products and their diversified revenue streams.

People who know ChatGPT at home bring that familiarity to work. Enterprise deployments give them tools suited to complex work and the requirements of their organization. Experience at work can then change what they expect from AI in their personal lives. Developers extend our reach further by building applications for needs we would not have identified ourselves. And over time we expect there to be a continuous blurring between these traditionally more distinct segments as our agentic products get to know you better as a person but at work and in your personal life.