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Key takeaways

• OpenAI published an October 14 analysis of agentic AI use among EU business customers.

• Codex and ChatGPT Work account for more than half of output tokens in OpenAI's EU sample of ChatGPT Enterprise customers.

• Weekly active users of those tools grew more than eightfold among small and medium businesses since May 2026.

• Usage intensity varied sharply across EU member states and between frontier firms and typical firms.

• The figures are company-reported usage measures, not a census of all European companies.

OpenAI's EU snapshot of agentic AI use

OpenAI published an October 14 analysis of agentic AI use among its business customers in the European Union. The post focuses on usage patterns inside OpenAI's own Enterprise and Business customer base. It does not claim to measure all European companies.

The analysis centers on two agentic tools: Codex and ChatGPT Work. OpenAI's Economic Research team says those tools account for more than half of output tokens in its EU sample of ChatGPT Enterprise customers. That makes them a major part of the activity captured in the sample.

Growth among smaller businesses

OpenAI says weekly active users of Codex and ChatGPT Work grew more than eightfold among small and medium businesses. In this analysis, that group means businesses with 200 or fewer associated users. The growth is measured since May 2026.

This is a strong increase, but it is still a company-reported usage measure. It shows rising engagement with the tools inside OpenAI's customer base. It does not prove productivity gains or broader market adoption.

Large differences across EU member states

OpenAI says growth appeared across every EU member state in the sample. Even so, the intensity of use varied substantially. The analysis gives one example of that spread in Enterprise accounts.

In OpenAI's sample, the share of output tokens from Codex and ChatGPT Work ranged from 22% in Slovenia to 85% in Lithuania. That gap suggests very different levels of reliance on the tools across countries in the sample. The post does not explain why those differences exist.

Frontier firms versus typical firms

The analysis also defines frontier firms as the top 10% by output tokens per active user. OpenAI says EU frontier firms generated more than four times as many tokens per active user as typical EU firms in September. That points to a wide gap between the most intensive users and the rest of the sample.

OpenAI adds another comparison outside the EU. It says frontier firms outside the EU generated more than twice as many tokens per active user as the EU frontier group. This is a relative usage comparison, not a statement about business performance.

What OpenAI says the data implies

OpenAI argues that skills, access, and affordability could deepen use. That is the company's interpretation of its own data. The analysis presents this as a direction for broader adoption, not as a measured outcome.

The post also includes an important limitation. These are company-reported usage measures from OpenAI's Enterprise and Business customers. They are not a census of all European companies, and they are not proof of productivity gains.

Morocco relevance

The source reports no Morocco-specific data, adoption figures, or business impact. For readers, the conditional global lesson is simple: when evaluating AI use, separate platform usage from proven business results.

Why the framing matters

The report is useful because it shows how uneven agentic AI use can be inside one customer base. It also shows that growth can be fast in smaller firms while remaining uneven across markets. That combination matters when reading any vendor-led analysis.

The safest reading is narrow. OpenAI's data describes its own customers in the EU sample it analyzed. It supports a discussion about usage patterns, not a broad conclusion about the whole economy. It also supports a discussion about access and skills, but only as OpenAI's interpretation of the numbers.