From assistance to execution: How enterprises put AI to work
Enterprises are transitioning from using AI as a question‑answering assistant to deploying agentic AI that can execute tasks. Frontier firms in the top 10% of AI usage generate far more output tokens per user than typical firms, reflecting deeper adoption of advanced features such as plugins. Early‑career workers are adopting AI tools more rapidly, while usage spreads across functions like legal, sales, recruiting, and marketing.
- ▪Agentic AI, exemplified by tools like Codex and ChatGPT Work, is increasingly handling multi‑step workflows rather than just providing information.
- ▪Frontier firms now produce 8.3 times more output tokens per active user than typical firms, up from 2.6 times earlier in the year.
- ▪Advanced capabilities such as plugins are used weekly by 21% of active users at frontier firms, compared with 9% at typical firms.
- ▪Weekly active enterprise Codex users have grown dramatically in non‑engineering roles, with increases of 108× in legal and 41× in sales and recruiting.
- ▪AI usage is highest among early‑career employees, suggesting a comparative advantage for newer workers in leveraging these technologies.
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| Original publisher | OpenAI |
| Canonical URL | https://openai.com/index/how-enterprises-put-ai-to-work/ |
| Publication time | Thu, 13 Aug 2026 03:29:19 +0000 |
| Retrieval time | 2026-08-13T03:55:46.858Z |
| Last seen | 2026-08-13T03:55:46.858Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | MqMQubVhL95b |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
August 12, 2026CompanyFrom assistance to execution: How enterprises put AI to workTwo new reports show how AI adoption is spreading across firms and workers—and what frontier organizations are doing differently.Read Enterprise SignalsRead working paper(opens in a new window)Loading…ShareEnterprises are shifting from asking to doingEnterprises are shifting from asking to doingThe frontier gap widens as firms embrace agentic AIAdvanced capabilities like Plugins and skills are more common at frontier firmsAgents are spreading across knowledge workEarly-career employees use AI moreWhat leaders can do to narrow the frontier gapEnterprises are shifting from asking to doingThe frontier gap widens as firms embrace agentic AIAdvanced capabilities like Plugins and skills are more common at frontier…
Excerpt limited to ~120 words for fair-use compliance. The full article is at OpenAI.
