How Organizations Use AI: Evidence from ChatGPT

Source

Source name: arXiv
Source kind: paper
Authors / organization: Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga
Venue: arXiv: econ.GN
Published: 2026-08-12
Collected: 2026-08-13
URL: http://arxiv.org/abs/2608.12236v1
PDF: https://arxiv.org/pdf/2608.12236v1
DOI: UNKNOWN
Registry group: academic_apis_and_preprints
Evidence role: canonical_academic_index
Language: en
Country / region: UNKNOWN

Plain-Language Brief

The authors study the use of ChatGPT in organizations by analyzing data from ChatGPT Enterprise accounts linked with worker roles, task classifications, and financial data of public companies. They found rapid growth in usage, concentration among larger and R&D-intensive firms, wide spread across job functions and seniority levels, and a broad range of tasks involved.

What the Document Says

The authors linked ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data.
They analyzed the data for over 1,500 organizations and over 17 million messages up to March 2026.
ChatGPT Enterprise usage has grown rapidly due to new firm adoption and growing intensity among existing adopters.
U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms.
Active use within adopting firms spans job functions and seniority levels, with high usage intensity among early-career workers.
ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks including writing, technical work, communication, and information synthesis.

Key Concepts Mentioned

ChatGPT Enterprise
usage
worker roles
task classifications
public-company financial data
adoption
growth
U.S.-based public companies
R&D
SG&A
knowledge work tasks

Claims Made by the Document

ChatGPT Enterprise usage has grown rapidly.
U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms.
Active use within adopting firms spans job functions and seniority levels.
ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks.

Evidence Used

Analysis of ChatGPT Enterprise account records linked to usage, worker roles, task classifications, and public-company financial data.
Data from over 1,500 organizations and over 17 million messages up to March 2026.

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

Raw Abstract / Excerpt

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.