OpenAI’s Agentic AI Claim For EU Business Calls For A Closer Read

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OpenAI said Codex and ChatGPT Work generated 55% of output tokens in its ChatGPT Enterprise and Business accounts across the European Union by September 30, according to a report published October 14. The figure offers a snapshot of use among OpenAI’s own business customers, but it does not show that agents handled most tasks or created most business value.

The report, Europe’s Agentic Opportunity: Moving from Breadth to Depth with AI Agents, was published by OpenAI Economic Research alongside a Global Affairs post. It defines “agentic” use as activity with Codex, OpenAI’s coding agent, and ChatGPT Work, an agent mode launched in July that can work with files, browsers and company tools. The reported 55% combines Codex’s 34% share of output tokens and ChatGPT Work’s 21%; regular ChatGPT accounted for the remaining 45%.

OpenAI also reported that weekly active users of Codex or ChatGPT Work in businesses with 200 or fewer users rose 8.1 times between the first week of May and the week ending October 5. The company said every EU member state recorded at least fivefold growth. Belgium had the largest reported increase, at 12.1 times, followed by Italy at 10.8 and Luxembourg at 10.0. OpenAI did not provide absolute user counts in the supplied report material.

The agentic share varied widely by country, from 85% in Lithuania and 81% in Cyprus to 22% in Slovenia and 26% in Austria. Germany recorded 51%, ranking 17th among the 27 member states. These figures describe output from accounts covered by OpenAI’s report, not the overall level of AI use across each country’s economy.

What the Token Share Captures

The report points to a clear change in how OpenAI’s EU business customers use its products: agent tools now account for a larger share of generated output than standard ChatGPT. That may matter to companies deciding whether to expand access to agents, train staff to use them, or invest in workflows that let software handle multi-step work.

But output tokens are an imperfect proxy for business activity. OpenAI’s Enterprise Signals material describes tokens as an imperfect measure of business value and notes that agentic tasks can require substantially more computation. An agent may read files, plan, draft, check its work and repeat steps, generating far more text than a short chat response. A high token share can therefore reflect the length and computational demands of agent runs, rather than the number of tasks completed or their economic value.

The distinction matters for policy and business decisions. OpenAI’s report argues that Europe should turn broad AI adoption into deeper use by improving worker skills and making advanced capabilities more accessible and affordable. The reported figures can help describe activity among its customers, but they do not establish how much productivity or revenue agents have generated, or whether adoption is representative of European businesses overall.

A Growth Period Shaped by Launches

The reported growth period began before ChatGPT Work existed. OpenAI launched the agent mode in July 2026; the report’s small-business comparison starts in the first week of May. The source analysis of OpenAI’s chart says Codex accounted for roughly one-fifth of EU output tokens in May and 34% by September 30, while ChatGPT Work added 21 percentage points after its launch. OpenAI itself said a major part of small-business growth followed the introduction of ChatGPT Work.

That timing gives the growth figures a specific interpretation: they track uptake of products, including a newly launched tool, rather than a clean measure of a long-term change in business practice. OpenAI’s broader report also compares the most intensive users. It defines “frontier firms” as the top 10% by output tokens per active user. In September, EU frontier firms produced about four times as many tokens per user as typical EU firms, while frontier firms outside the EU produced more than twice as many as the EU frontier. OpenAI said EU companies made up about 10% of frontier firms worldwide, compared with about 65% from North America.

Limits in the Country Comparisons

The figures do not establish how many agentic tasks businesses completed, how many staff members used the tools, or what measurable business outcomes followed. The report’s token measure may rise because agent workflows generate more text and require more computation. The supplied material also gives no country-by-country account or user sample sizes, making it hard to judge how representative the national percentages are or how much a small number of large customers may affect them.

The small-business growth rate is reported without an absolute starting count, so its scale cannot be assessed from the multiplier alone. The comparison also spans the launch of ChatGPT Work. The report’s country-level adoption and growth measures do not, by themselves, establish which countries are more advanced in AI use. Nor do the frontier-firm comparisons prove that the gap is caused by any single policy, skill or investment factor. OpenAI’s data covers its own business accounts; the supplied source does not provide independent verification or results for the wider EU economy.

Evidence Needed Beyond Usage

The immediate next step is to distinguish product adoption from sustained workplace impact. Further reporting would need absolute user and account counts, clearer country-level sample details, and measures of tasks completed, time saved, quality or financial results. Longer-term comparisons could also show whether agent use continues to grow after the launch-period effect, and whether firms beyond OpenAI’s customer base are seeing similar patterns.

OpenAI’s report calls for wider access to advanced capabilities and stronger worker skills, but the data presented does not show what policies or investments would close the reported frontier gap. Until more outcome and sampling information is available, the strongest supported conclusion is narrower: agents generated a majority of OpenAI’s measured EU business-account output tokens by the end of September, while the scale and economic consequences of that use remain unsettled.

Key Questions

What does OpenAI mean by “55% of output tokens”?

It means Codex and ChatGPT Work together produced 55% of the output tokens generated in the covered EU ChatGPT Enterprise and Business accounts by September 30. Tokens measure generated text, not the percentage of users, tasks or business value.

Which products count as agentic in the report?

OpenAI counts Codex, its coding agent, and ChatGPT Work, an agent mode launched in July 2026 that can work with files, browsers and company tools.

Did small-business agent use increase 8.1 times across Europe?

OpenAI reported an 8.1-times rise in weekly active users of Codex or ChatGPT Work among businesses with 200 or fewer users, comparing the first week of May with the week ending October 5. The supplied report material gives no absolute user counts, and the period included ChatGPT Work’s launch.

Does the report show that agents increased productivity?

No. The figures measure product use and output tokens. The report does not establish how much time was saved, whether work quality improved, or what financial results businesses achieved.

Source: ThorstenMeyerAI.com