---
title: "How Organizations Use AI: Evidence from ChatGPT"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2608.12236v1"
permalink: "https://feed.astralor.com/items/itm_2d995db75125fa751e2f2c7f"
published: "2026-08-12T16:32:52.000Z"
score: 76
channel: "ai"
tags: ["ChatGPT Enterprise","Enterprise AI Adoption","generative-ai","Organizational Workflow"]
---

# How Organizations Use AI: Evidence from ChatGPT

## AI commentary

> What's rare here is access to actual ChatGPT Enterprise usage data linked to financial records. For anyone tracking AI deployment, this offers an unusually fact-based view of how firms are absorbing generative AI. Whether you're a founder, executive, or researcher, there are relevant signals worth digging into.

## At a glance

This study links ChatGPT Enterprise account records to worker roles, task classifications, and public-company financial data through March 2026, enabling a privacy-preserving analysis of over 1,500 organizations and 17 million messages. It documents four facts: rapid growth in enterprise adoption, concentration among larger and more R&D- and SG&A-intensive firms, active use across job functions with high intensity among early-career workers, and a broad range of knowledge work tasks including writing, technical work, communication, and information synthesis. The results suggest that firms differ widely in the speed, breadth, and purpose of AI adoption and are still learning to integrate AI into workflows.

## Key points

- Links ChatGPT Enterprise usage data with worker roles and financial records, covering 1,500+ organizations and 17M+ messages.
- Enterprise adoption is growing rapidly through both new customers and increased usage intensity among existing adopters.
- Adoption is concentrated among larger, higher-valuation, and more R&D- and SG&A-intensive public firms.
- Usage spans writing, technical work, communication, and information synthesis, with highest intensity among early-career workers.

## Full text

We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterprise AI adoption and use. First, ChatGPT Enterprise usage has grown rapidly due to a combination of new firm adoption and growing intensity among existing adopters. Second, U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms. Third, active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers. Fourth, ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks, including writing, technical work, communication, and information synthesis. In aggregate, these results suggest that firms differ widely in the speed, breadth and purpose of their enterprise AI adoption, and that they are still actively learning how to integrate AI into organizational workflows.

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