The Fine Print In OpenAI’s EU Business Agentic AI Claim

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OpenAI said Codex and ChatGPT Work generated 55% of output tokens in its ChatGPT Enterprise and Business accounts across the 27 EU member states by September 30, 2026. The company’s new report also records rapid growth in small-business use, but its headline figure measures generated text—not the share of users, tasks or economic value handled by agents.

OpenAI Economic Research’s report, Europe’s Agentic Opportunity: Moving from Breadth to Depth with AI Agents, was published October 14 alongside a post from the company’s Global Affairs team. It defines agentic use as output from Codex, OpenAI’s coding agent, and ChatGPT Work, an agent mode launched in July that can work with files, browsers and company tools. By September 30, Codex accounted for 34% of output tokens and ChatGPT Work for 21%; ordinary ChatGPT accounted for the remaining 45%.

Among businesses with 200 or fewer users, weekly active users of Codex or ChatGPT Work increased 8.1 times between the first week of May and the week ending October 5, according to OpenAI. Every EU member state recorded at least fivefold growth over that period. Belgium led at 12.1 times, followed by Italy at 10.8 and Luxembourg at 10.0. OpenAI does not provide absolute user counts alongside those growth multiples.

Agentic output shares varied substantially by country: Lithuania recorded 85% and Cyprus 81%, while Slovenia recorded 22% and Austria 26%. Germany’s share was 51%, placing it 17th among the 27 countries. The report also says EU frontier firms—defined as the top 10% by output tokens per active user—generated about four times as many tokens per user as typical EU firms. Frontier firms outside the EU generated more than twice the output per user of the EU frontier.

What the Token Share Can Show

The report offers a view of how OpenAI’s business customers are using its products, and the scale of agent-generated output suggests that these tools have become a meaningful part of activity within those accounts. The figures may be useful for tracking adoption of OpenAI’s own agent products and for comparing usage patterns across its customer base.

But output tokens are not a direct measure of business impact. An agent can produce many tokens while reading files, planning, generating a response and checking its work; a short chat answer may use far fewer. OpenAI’s Enterprise Signals page itself describes tokens as an imperfect measure of business value and says agentic tasks can require substantially more computation. The 55% figure therefore cannot establish that agents handle most AI interactions, tasks or work—or that they deliver more value than standard chat.

The report’s comparison between EU and non-EU frontier firms also points to a usage gap within OpenAI’s dataset, not a direct assessment of national productivity or AI capability. OpenAI argues that Europe’s challenge is to turn broad adoption into deeper use by building workers’ skills and confidence and making advanced capabilities more accessible and affordable. That is the company’s policy interpretation of its own customer data, rather than a separate finding about the entire European economy.

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A Launch Shapes the Growth

The reported jump comes during the rollout of a new product. OpenAI’s chart shows Codex accounting for roughly a fifth of EU output tokens in May and 34% by September 30; ChatGPT Work, introduced in July, added 21 percentage points by the end of September. That means the new agent mode accounts for a substantial portion of the reported agentic share.

The small-business growth measure begins in the first week of May, before ChatGPT Work launched. OpenAI says a major part of the increase followed the product’s introduction. This makes the 8.1-times figure a measure of growth in weekly active users of the two named products over a period that includes a new launch—not evidence, by itself, that small businesses across the EU have undergone a lasting change in how they work.

OpenAI’s report covers its own ChatGPT Enterprise and Business accounts, not all European companies or all AI systems used at work. It does not publish country-level account or user sample sizes in the material described here. The figures should be read as a snapshot of use within OpenAI’s customer base, with the company both supplying the products and reporting the usage data.

What the Data Leaves Open

The report does not state how many EU accounts or users contributed to each country’s figures, making it difficult to tell how representative the national comparisons are. OpenAI notes that smaller countries such as Cyprus, Estonia and Lithuania have relatively high agentic use within larger firms. Without sample sizes, the country rankings cannot establish how widely agents are used across each national economy.

Nor does the report provide the absolute number of small-business users behind the 8.1-times growth figure, or a measure of how many interactions those users had. A large multiplier from a small starting point may represent a limited number of additional users; the available figures do not settle that question. The report also does not quantify whether the new activity improved productivity, reduced costs or changed business outcomes.

OpenAI’s figures are vendor-reported usage data for its own products. They do not show how the results compare with other AI providers, or whether the same trends appear among firms that do not use ChatGPT Business or Enterprise. The report’s metric also counts output tokens, whose volume may differ sharply between a chat response and a multi-step agent run. Those limits leave the broader economic significance of the reported adoption uncertain.

Evidence Needed Beyond Usage

The report sets out a direction for European businesses and policymakers: move from experimentation toward deeper use, improve workers’ skills and confidence, and make advanced AI capabilities more accessible and affordable. It does not set out a timetable or a measured target for achieving that shift.

To establish whether the reported adoption leads to wider business change, further evidence would need to connect agent use to task counts and outcomes such as time saved, costs or quality, while clarifying how many firms and users are represented. OpenAI may publish later usage updates, but the material available with this report does not specify when another update will appear. For now, the figures document growth in activity on OpenAI’s products; what that means for productivity across the EU remains unsettled.

Key Questions

What does OpenAI mean by saying agents produced 55% of output?

It means Codex and ChatGPT Work accounted for 55% of output tokens generated in the company’s EU ChatGPT Enterprise and Business accounts by September 30, 2026. It does not mean agents handled 55% 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. The remaining 45% of output tokens came from ordinary ChatGPT, according to the report.

How much did small-business agent use grow?

OpenAI reports an 8.1-times increase in weekly active users of Codex or ChatGPT Work among businesses with 200 or fewer users, from the first week of May to the week ending October 5. The report does not give the absolute user count, and it says much of the growth followed ChatGPT Work’s launch.

Does the report show that AI agents improved productivity?

No productivity result is established by the figures provided. The report measures output-token volume and product activity, not time saved, costs, work quality or economic value. OpenAI describes tokens as an imperfect measure of business value.

Can the country rankings show which EU nations are best at AI?

Not on their own. The report gives country-level usage shares but does not provide account or user sample sizes for each country. The figures describe OpenAI’s customer base, not the full extent of AI adoption or readiness in each national economy.

Source: ThorstenMeyerAI.com