---
id: "nr-openai-enterprise-signals-agents-now-produce-most-enterprise-output"
slug: "openai-enterprise-signals-agents-now-produce-most-enterprise-output"
title: "OpenAI's Enterprise Signals: agents now produce most enterprise output"
observed_at: "2026-08-12T00:00:00+00:00"
record_date: "2026-08-12"
date_kind: "observed_at"
novelty: "new"
source_platform: "openai.com"
topics: ["enterprise-ai","ai-agents","adoption"]
entities: ["OpenAI","Codex","ChatGPT","Enterprise Signals"]
related_patterns: []
source_url: "https://openai.com/index/how-enterprises-put-ai-to-work"
source_urls: ["https://openai.com/index/how-enterprises-put-ai-to-work","https://cdn.openai.com/pdf/how-organizations-use-chatgpt.pdf"]
type: "raw_signal"
description: "OpenAI's August reports say Codex produced 64% of enterprise output tokens by June and the top 10% of firms now use 8.3x more output per user than typical ones."
why_it_matters: "The numbers describe a shift from asking an assistant to delegating work to agents, spreading fastest outside engineering. They are OpenAI's own usage measures, not independent productivity results."
verification_level: "source-inspected"
signal_type: "newsroom_basket_signal"
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:openai-enterprise-signals-agents-now-produce-most-enterprise-output"
retrieval_nugget: "OpenAI's August reports say Codex produced 64% of enterprise output tokens by June and the top 10% of firms now use 8.3x more output per user than typical ones. OpenAI published Enterprise Signals and a companion working paper, How Organizations Use AI, on August 12. As of June, Codex generated 64% of combined Codex and ChatGPT output tokens among enterprise"
status: "published"
visuals: []
routes: {"html":"https://newruntime.com/signals/openai-enterprise-signals-agents-now-produce-most-enterprise-output/","markdown":"https://newruntime.com/signals/openai-enterprise-signals-agents-now-produce-most-enterprise-output.md","json":"https://newruntime.com/signals/openai-enterprise-signals-agents-now-produce-most-enterprise-output.json"}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
---

# OpenAI's Enterprise Signals: agents now produce most enterprise output

## Retrieval answer

OpenAI's August reports say Codex produced 64% of enterprise output tokens by June and the top 10% of firms now use 8.3x more output per user than typical ones. OpenAI published Enterprise Signals and a companion working paper, How Organizations Use AI, on August 12. As of June, Codex generated 64% of combined Codex and ChatGPT output tokens among enterprise

OpenAI published Enterprise Signals and a companion working paper, How Organizations Use AI, on August 12. As of June, Codex generated 64% of combined Codex and ChatGPT output tokens among enterprise customers. Frontier firms, the top 10% by monthly output tokens per active user, generated 8.3 times as many output tokens per active user as typical firms, up from 2.6 times in January.

Each week 21% of active users at frontier firms use Plugins, against 9% at typical firms. Since February, weekly active enterprise Codex users grew 108 times in legal, 41 times in sales and recruiting, and 26 times in marketing, compared with 5 times in engineering. Usage is highest among early-career employees. OpenAI measures depth of use by output tokens, which it calls a proxy, and the figures come from its own customer base.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Enterprise Ai](https://newruntime.com/topics/enterprise-ai.md): Explore the enterprise-ai topic hub.
- topic hub: [Ai Agents](https://newruntime.com/topics/ai-agents.md): Explore the ai-agents topic hub.
- topic hub: [Adoption](https://newruntime.com/topics/adoption.md): Explore the adoption topic hub.
- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)