What’s Behind OpenAI’s Claim About Agentic AI In EU Business?

🔍 Read the full analysis: What’s Behind OpenAI’s Claim About Agentic AI In EU Business? on ThorstenMeyerAI.com

Before you orderOffer from Amazon

Get hardware and tech essentials delivered free with Prime

• Fast, free delivery on millions of items
• Prime Video, Amazon Music and more included
• Member-only deals all year

Start your free Prime trial →Free trial for eligible customers · Cancel anytime

As an affiliate, we earn on qualifying purchases.Hide

OpenAI said its coding agent Codex and ChatGPT Work generated 55% of output tokens in the company’s ChatGPT Enterprise and Business accounts across the 27 EU member states by September 30. The figure, published October 14, describes activity among OpenAI’s business customers; it does not mean agents handled 55% of EU companies’ AI tasks or created that share of business value.

OpenAI’s Economic Research report, Europe’s Agentic Opportunity: Moving from Breadth to Depth with AI Agents, counts output from Codex and ChatGPT Work as agentic. Codex generated 34% of the measured output tokens, while ChatGPT Work accounted for 21%. Other ChatGPT use made up the remaining 45%. ChatGPT Work, an agent mode that can work with files, browsers and company tools, launched in July 2026.

The report also says weekly active users of Codex or ChatGPT Work at businesses with 200 or fewer users rose 8.1 times from the first week of May to the week ending October 5. OpenAI reports growth of at least fivefold in every EU member state, with Belgium at 12.1 times, Italy at 10.8 times and Luxembourg at 10 times. It does not provide the absolute number of users behind those growth rates.

Agentic output varied substantially by country. OpenAI reported shares of 85% in Lithuania and 81% in Cyprus, compared with 22% in Slovenia and 26% in Austria. Germany was at 51%, ranking 17th among the 27 member states. The report does not publish country-level account or user counts alongside those figures.

What the 55% Figure Measures

The report offers a snapshot of how customers using OpenAI’s business products are using its newer agent tools. That matters to companies considering whether to adopt agentic systems, and to policymakers weighing skills, access and business productivity. But the headline percentage is a measure of output tokens—the text generated by the models—not a count of tasks, workers, organizations or completed work.

OpenAI’s global Enterprise Signals page describes tokens as an imperfect measure of business value and says agentic tasks can require substantially more computation. An agent may read files, plan, write, review and revise, generating far more text than a short chat response. As a result, a large token share can reflect the computational demands of agent runs without showing that most AI interactions are agentic or that agents deliver proportionately greater value.

The results also describe OpenAI’s own business customers, not a representative survey of all European companies. They may help identify adoption patterns within that customer base, but they cannot establish how widespread agent use is across the EU economy or whether it has improved productivity.

A Rapid Rise After ChatGPT Work

The time window matters when interpreting the reported growth. OpenAI’s chart shows Codex accounting for roughly a fifth of EU output tokens in May and 34% by September 30. ChatGPT Work launched in July and made up 21% of output by the end of September. The new product therefore contributed a substantial portion of the measured agentic share during the reporting period.

OpenAI says a major part of small-business user growth followed the introduction of ChatGPT Work. The 8.1-times comparison begins in the first week of May, before that launch, and ends in the week ending October 5. The report provides no absolute user totals or breakdown showing how much growth came from new customers, existing customers adding users, or changes in product use.

OpenAI defines “frontier firms” as the top 10% of firms by output tokens per active user. In September, its EU frontier firms produced about four times as many tokens per user as typical EU firms. Frontier firms outside the EU produced more than twice the output per user of the EU frontier. OpenAI estimates EU companies make up about 10% of frontier firms worldwide, compared with about 65% in North America. These are the report’s measures of token output, not direct measures of productivity or economic performance.

Limits in OpenAI’s EU Data

The report does not disclose the absolute number of users behind the 8.1-times small-business growth figure, nor the number of accounts or users in each country. Without those sample sizes, readers cannot tell how much a small group of large or agent-heavy customers may influence national percentages. The country rankings should not be treated as a league table of national AI readiness.

The data also do not show how many tasks agents completed, whether the work was accurate, how much time or money it saved, or whether businesses achieved measurable productivity gains. OpenAI’s report is a vendor analysis of its own customer accounts, and its measures are shaped by the products and usage available on its platform. The source material also does not provide independent verification of the reported figures.

OpenAI’s policy recommendations focus on skills, confidence and making advanced capabilities more accessible and affordable. The report does not quantify the cost of adoption, identify which sectors account for the growth, or establish how the reported usage compares with agent use on other providers’ systems.

From Adoption to Measured Results

OpenAI’s report calls for European businesses to move from broad experimentation toward deeper use of AI agents, alongside investment in worker skills and access to advanced tools. It does not set a specific deadline or provide a next measurement milestone. The data described here run through September 30 for output shares and through October 5 for small-business active-user growth.

Further evidence would be needed to judge whether the reported adoption translates into lasting business changes: absolute user counts, results over a longer period, country-level sample sizes, task completion and quality measures, and independent productivity data. Until those are available, the report establishes what OpenAI says is happening within its EU business accounts, while leaving the wider economic impact unresolved.

Key Questions

What does OpenAI mean by agentic AI in this report?

OpenAI counts use of Codex, its coding agent, and ChatGPT Work, an agent mode that can work with files, browsers and company tools, as agentic.

Does the 55% figure mean agents handled most EU business AI tasks?

No. The 55% figure is the share of output tokens generated by the two agent products in OpenAI’s EU business accounts. It does not measure the proportion of tasks, users or business value.

How quickly did small-business agent use grow?

OpenAI says weekly active users of Codex or ChatGPT Work at businesses with 200 or fewer users rose 8.1 times between the first week of May and the week ending October 5, 2026. The report does not provide the absolute user total.

Do the country figures show which EU nations are most advanced in AI?

Not on their own. The figures describe agentic output in OpenAI’s customer accounts, and the report does not give country-level account or user counts. They should not be read as a ranking of national AI readiness.

Does the report show that AI agents increased productivity?

No. It reports product usage and token output, but does not establish productivity gains, task quality, time saved or financial returns.

Source: ThorstenMeyerAI.com