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ChatGPT usage and adoption patterns at work | OpenAI

January 22, 2026

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ChatGPT usage and adoption patterns at work

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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.

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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.

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The rise of AI at work

Enterprise adoption follows rapid consumer adoption

When ChatGPT was released in November 2022, it mostly targeted a small group of AI researchers and enthusiasts. But within months, it had 100 million weekly active users, and today has over 700 million weekly active users, making it one of the world’s most visited websites.

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

This is a path we've often seen before: software that gains traction with consumers makes its way into the workplace, often driven most heavily by younger employees. ChatGPT is following that same pattern, reflected in its rapid growth in weekly active users, high penetration with workers under 30, and frequent-often daily-use.

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

##### Adoption is skyrocketing...

Today, 43% of U.S. knowledge workers use AI (Stanford), up from fewer than 1 in 10 in late 2022.

##### ...and ChatGPT leads the shift.

Pew reports 28% of employed adults are using ChatGPT at work, up from only 8% two years ago.

##### AI use is becoming habitual...

More than half of workplace AI users engage four or more days a week. In the last year, daily usage has doubled (Stanford).

##### ...and the benefits are real.

A Federal Reserve Bank of St. Louis study found over half of AI users save 3+ hours per week, and a Harvard study found knowledge workers using AI produced 40% higher quality work.

##### Usage correlates with education...

More than half of workplace AI users engage four or more days a week. In the last year, daily usage has doubled (Stanford).

##### ...and skews younger.

Employees 18-29 are more than twice as likely to use ChatGPT at work as those over 50.

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Who uses ChatGPT in the enterprise

ChatGPT is being adopted across industries

AI adoption isn’t unfolding evenly across the economy. Workers in some industries have moved quickly to embed ChatGPT into their operations, while others are proceeding more slowly. By looking at which sectors are embracing the tool fastest, we can see both the near-term opportunities and the areas where adoption may take longer to gain traction.

Source: ChatGPT Free, Plus, and Pro users in the US with a professional email address; email domains mapped to industry

Certain industries are adopting ChatGPT at higher-than-expected rates. IT and finance lead the way, which makes sense given the tool’s strengths in coding, analysis, and information-heavy work. Manufacturing adoption points to a broader digital transformation: factories using AI for process automation, predictive maintenance, and supply chain optimization. Early investments in industrial AI may be paving the way for widespread ChatGPT use among engineers, analysts, and operations managers.

Other industries lag behind. Retail, construction, transportation, wholesale trade, and agriculture all show significantly lower adoption. In most cases, this tracks with their smaller share of knowledge workers, where the need for AI tools is less immediate.

Healthcare is a special case. Despite being one of the largest and most data-intensive sectors, adoption has been slower. Strict privacy and compliance rules and risk-averse organizational cultures may be factors. Still, we’re starting to see growth in targeted areas like clinical documentation and administrative workflows, suggesting healthcare could soon become a hotbed of AI adoption.

How departments use ChatGPT in their first 90 days

Adoption patterns vary across departments, but a few themes stand out. In the first three months, four categories dominate usage: writing, research, programming, and analysis. Together, they account for the majority of messages sent. This variety highlights the flexibility of ChatGPT; teams turn to it to draft communications, gather and synthesize information, write code, and interpret data.

Technical teams are among the heaviest users, with analytics, engineering, and IT roles making up a large percentage of early usage. Programming is the top task, especially for engineering roles, but users also request a substantial amount of research and documentation help. This suggests ChatGPT is being used nearly as much for planning as for coding.

IT teams lean most heavily on research and troubleshooting, often using ChatGPT as an information resource before moving into automation.

Top tasks for ChatGPT technical users

Analytics

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1. Coding 2. Writing…