OpenAI’s new economic analysis

Over half a billion people around the world actively use OpenAI’s AI tools, especially our freely available ChatGPT. They send more than 2.5 billion messages to the platform per day – including more than 330 million per day in the US. This breadth of use offers a unique window onto AI’s impacts on the economy. ChatGPT has saved teachers nearly six hours per week⁠(opens in a new window) on tasks; saved state workers in Pennsylvania an average of 95 minutes a day⁠(opens in a new window) on rote tasks so they can deliver better services; and enabled entrepreneurs to build new companies and start-ups.⁠(opens in a new window)  

Today, OpenAI is releasing our first look⁠(opens in a new window) at how our tools like ChatGPT have boosted productivity for workers across businesses and governments – and how that’s already creating value. The note is authored by OpenAI Chief Economist Ronnie Chatterji and the OpenAI Economic Research team. 

We’re also announcing today that Chatterji, along with Jason Furman of Harvard University and Michael Strain of the American Enterprise Institute and Georgetown University, are undertaking a 12-month collaboration to assess AI’s impact on productivity and the workforce. Together, they will develop a research agenda and metrics to analyze AI’s effect on jobs, an effort that will be housed in the new OpenAI Workshop in Washington, DC, along with trainings, demos, and other programming for key economic stakeholders.

ChatGPT is the fastest-adopted consumer technology in history, reaching 1 million users in five days, 100 million users in two months, and over 500 million users today. Since launch, we have seen a dramatic increase in use of ChatGPT for work. Today, 28% of employed US adults who have ever used ChatGPT report using ChatGPT at work, compared to just 8%⁠(opens in a new window) in 2023.

You can read our first look at ChatGPT‑driven productivity here⁠(opens in a new window).