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TL;DR

OpenAI’s October 14 report says Codex and ChatGPT Work generated 55% of output tokens in its EU ChatGPT Enterprise and Business accounts by September 30. The figure measures generated text, not the share of tasks, companies or business value handled by agents; the report also gives limited information about country-level sample sizes and absolute user counts.

OpenAI said its agents generated 55% of output tokens in ChatGPT Enterprise and ChatGPT Business accounts across the 27 EU member states by September 30, according to a report published October 14. The figure covers output from Codex and ChatGPT Work, not the share of users, work tasks or business value represented by agent use.

OpenAI Economic Research’s ten-page report, Europe’s Agentic Opportunity: Moving from breadth to depth with AI agents, counts output tokens produced by Codex, OpenAI’s coding agent, and ChatGPT Work, an agent mode launched in July 2026. Codex accounted for 34% of output tokens in the covered accounts and ChatGPT Work for 21%. Standard ChatGPT accounted for the remaining 45%.

OpenAI also reported that 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. The company said every EU member state recorded at least fivefold growth. It did not provide absolute user counts in the source material, and the comparison begins before ChatGPT Work launched.

Use of agents varied by country. OpenAI reported an agentic output share of 85% in Lithuania and 81% in Cyprus, compared with 22% in Slovenia and 26% in Austria. Germany’s share was 51%, placing it 17th among the 27 member states. The report also said 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 in September. Frontier firms outside the EU generated more than twice the output per user of the EU frontier.

At a glance
reportWhen: Report published October 14, 2026; figu…
The developmentOpenAI published a report on agent use in its European business accounts, reporting that its agents produced 55% of those accounts’ output tokens by September 30, 2026.
Thorsten Meyer AIReality Check · Oct 15, 2026

OpenAI’s Europe report · in one view

From 22% to 85%: how agentic the EU’s OpenAI business accounts are

Share of output tokens produced by Codex and ChatGPT Work in September 2026, per member state, next to how fast small businesses adopted the agents since May.

55%of EU output tokens agentic on Sep 30 (Codex 34% + ChatGPT Work 21%)
8.1×small-business weekly agent users vs. May 1–7, every country above 5×
17 / 27Germany’s rank: 51% share, 7.5× growth, below the EU median on both

Agentic share of output tokens, September 2026

Dark tick = EU median (56%). Right column: small-business agent users vs. May; green = at or above the median (8.1×).

#CountryAgentic shareShareSMB ×
#CountryAgentic shareShareSMB ×
#CountryAgentic shareShareSMB ×
  1. 1Lithuania85%6.8×
  2. 2Cyprus81%7.5×
  3. 3Hungary79%8.1×
  4. 4Poland76%6.5×
  5. 5Sweden73%8.0×
  6. 6Finland72%5.1×
  7. 7Estonia71%7.8×
  8. 8Netherlands68%8.5×
  9. 9Croatia68%6.8×
  10. 10Italy65%10.8×
  11. 11Slovakia58%7.8×
  12. 12Belgium57%12.1×
  13. 13Denmark56%9.9×
  14. 14Malta56%9.5×
  15. 15France55%9.2×
  16. 16Czechia52%8.1×
  17. 17Germany51%7.5×
  18. 18Romania49%5.9×
  19. 19Luxembourg47%10.0×
  20. 20Bulgaria42%5.9×
  21. 21Ireland39%9.5×
  22. 22Greece37%9.8×
  23. 23Latvia35%5.8×
  24. 24Spain30%8.8×
  25. 25Portugal29%6.5×
  26. 26Austria26%8.2×
  27. 27Slovenia22%9.2×

Read as a customer map, not a league table: no account or user counts per country. Share and growth barely relate (rank correlation -0.19): Slovenia is last on share but grows 9.2×, Lithuania first on share but grows 6.8×.

Source: OpenAI Economic Research, “Europe’s Agentic Opportunity: Moving from breadth to depth with AI agents” (October 2026); ChatGPT Enterprise and Business accounts. “Agentic” = Codex + ChatGPT Work (launched July 2026). Small and medium businesses = 200 or fewer associated users. OpenAI publishes no sample sizes per country. Rank correlation: own calculation (Spearman) from Figures 2 and 4.
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What the 55% Token Share Shows

The report offers a view into how customers of one AI provider are using its products, and the figures suggest that agent tools now account for a large portion of generated output in the covered business accounts. That is relevant to companies evaluating where AI use is moving and to policymakers considering whether adoption is reaching beyond basic chat.

But token volume is not a direct measure of economic impact. An agent may read files, plan, produce code or documents, and revise its work; those steps can generate far more text than a short chat response. 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 describes where model output is being generated, not whether agents handle most work or deliver most value.

The reported small-business growth also needs its starting point in view. An 8.1-fold rise is a relative change from the first week of May, but without the number of active users at the start or end, readers cannot tell how many businesses or workers the change represents. The period includes the launch of ChatGPT Work, which OpenAI says accounted for a major part of the growth.

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How OpenAI Defines Agent Use

The report covers ChatGPT Enterprise and ChatGPT Business accounts in EU member states, rather than all companies or AI services operating in Europe. OpenAI defines “agentic” output as output from Codex and ChatGPT Work. The latter can work with files, browsers and company tools, and launched in July 2026.

OpenAI’s global Enterprise Signals page supplies a wider comparison. The EU report’s policy argument is that Europe should turn broad AI adoption into deeper use by helping businesses move beyond experiments, building workers’ skills and confidence, and making advanced capabilities more accessible and affordable. Those are OpenAI’s recommendations, not independently measured outcomes of the figures.

The company’s comparison of frontier firms is also based on output tokens per active user. It reports that EU firms make up about 10% of frontier firms worldwide, while North American firms account for about 65%. Those figures describe OpenAI’s customer data and its definitions; they do not constitute a census of all firms or AI use in either region.

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What the Customer Data Cannot Establish

The figures do not establish what proportion of European business tasks are completed by agents, how many workers use them, or whether their use improves productivity or other business outcomes. OpenAI’s published metric is output tokens, and the report acknowledges that agent tasks can use more computation than ordinary chat.

The report also does not give country-by-country account or user counts in the supplied material. That makes it difficult to judge how representative each national percentage is, especially in smaller markets. The reported rankings should be treated as measures of OpenAI’s customer activity, not as definitive rankings of national AI readiness.

Finally, the 8.1-fold growth figure has no absolute user totals attached here, and its baseline predates ChatGPT Work’s July launch. The available material does not show how much of the growth came from new businesses, more activity among existing users, or the launch’s availability. Independent comparisons and measured business results are not provided.

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Evidence Needed Beyond Token Counts

OpenAI’s report calls for deeper use of AI agents, worker training and more accessible advanced tools. The next useful evidence would include absolute adoption numbers, clearer country-level sample sizes, and measures tied to completed tasks or business outcomes rather than generated text alone.

Until those details are available, the report is best read as a snapshot of agent activity in OpenAI’s EU business accounts through September and early October 2026. It does not establish the scale of agent use across the wider European economy or whether the reported growth will persist.

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Key Questions

What does OpenAI’s 55% figure measure?

It is the share of output tokens generated by Codex and ChatGPT Work in the covered EU ChatGPT Enterprise and Business accounts by September 30, 2026. It is not a share of users, tasks or business value.

Which tools does OpenAI count as agentic?

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

What does the 8.1-times growth figure mean?

OpenAI 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. The supplied material gives no absolute user totals, and the period includes ChatGPT Work’s launch.

Does the report show that agents improve business productivity?

No. It reports product use and output-token shares, not independently measured productivity or business results. OpenAI also cautions that tokens are an imperfect measure of business value.

Source: ThorstenMeyerAI.com

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