Inside GPT-5 for Work: How Businesses Use GPT-5

Introduction

ChatGPT is changing how work gets done.

Launched just two and a half years ago, ChatGPT is used by workers across every industry, in every job function, and at companies of every size. Today, over a quarter of U.S. workers—and 45% of those with postgraduate degrees—report using ChatGPT for work.

Enterprise tech has always followed a familiar pattern: big upfront costs, long rollouts, and slow adoption before the payoff. ChatGPT broke that mold when people ported it from their personal lives into their jobs. They didn’t need months of training or complicated onboarding; they just started using it to get meaningful work done.

Already, we see clear signals. Everyone from scientists to marketers to operators is folding ChatGPT into everyday work. From debugging code to brainstorming campaigns, it’s becoming the first step in core workflows.

This report shares new data from our own analysis, combined with peer-reviewed sources, about who’s using ChatGPT at work, how people are putting it to use, and the ways it’s taking root inside organizations.

Methodology

This report combines findings from independent third party industry-wide studies with analysis done by OpenAI on usage of ChatGPT and ChatGPT Enterprise. All analyses done by OpenAI in this report were performed on anonymized or aggregated usage data. OpenAI did not review any user or customer content (including model input or output), and did not analyze any identifiable data. All analysis of usage trends was conducted using automated content classifiers. Where the report references specific ChatGPT prompts, those ChatGPT prompts are fully synthetic examples, and not actual user or customer prompts.

The rise of AI at work

Enterprise adoption follows rapid consumer adoption  

Widespread personal use rapidly spread to the workplace. As the statistics show, consumer adoption is very likely advancing AI at work. 

In just a few years, AI in the workplace has gone from niche to mainstream. The numbers tell the story: