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OpenAI sets out phased text watermarking rollout

5 OCTOBER 2026·2 MIN READ·3 SOURCES

OpenAI set out its approach to text watermarking under the EU AI Act on October 5, 2026, describing a phased rollout for some of its text outputs and API models.

OpenAI sets out phased text watermarking rollout

Key takeaways · 4

  • 01

    API customers worldwide can opt in for select models, but watermarking will remain off by default.

  • 02

    OpenAI plans to add watermarks to eligible ChatGPT and Codex text output across all plans in the EU over the coming weeks.

  • 03

    Researchers and expert organizations can apply for access, initially granted case by case.

  • 04

    Detection performance depends on passage length and content, and can fall after synonym substitutions.

Three routes to watermarking

OpenAI says the EU AI Act requires generative AI providers to make generated text identifiable in a machine-readable way.[2] Its textGrain technology adds an invisible statistical signal to a model’s word choices, and a detector checks whether a passage contains an OpenAI watermark.[2] API customers worldwide can opt in for select models, with the feature off by default.[2] Separately, eligible ChatGPT and Codex text output will receive invisible watermarks in the EU over the coming weeks, covering eligible users across all plans there.[2]

Scope and research access

The ChatGPT and Codex rollout is limited to the EU at launch; OpenAI says text watermarking will not be a global default.[2] The company is also working with cloud partners to make watermarking available for OpenAI model outputs through their services in the coming weeks.[2] Approved researchers and expert organizations can apply starting today, but access will initially be granted case by case to support evaluation and improvement of text provenance.[2] OpenAI says the detector reports whether it finds a watermark without identifying users or revealing prompts or conversations.[2]

Detection has practical limits

At a 1% target false-positive rate, OpenAI says its detector found watermarks in about 80% of 200-token passages and 95% of 400-token passages for content such as psychology.[2] Detection rates were substantially lower for mathematics, where word choice is less flexible.[2] Editing can also weaken detection: replacing 10% of words with synonyms in 400-token passages reduced detection from about 92% to 66%, while replacing 25% reduced it to 17%.[2] OpenAI cautions that ideal-condition performance does not guarantee reliable everyday detection.[2]

What a watermark cannot establish

OpenAI says a watermark does not measure the amount of human judgment, editing, or creativity in a passage, establish ownership or responsibility, or verify whether text is true, misleading, harmful, or presented in the right context.[2] The absence of a detected watermark also does not prove that a person wrote the text.[2] OpenAI says its image and audio verification tools, including openai.com/verify and the Content Provenance API, will remain publicly accessible.[2] It plans to make textGrain open source so others can build on it.[2]

Watermarking offers a machine-readable signal that some organizations may choose to incorporate into transparency workflows. But teams should treat detection as one limited indicator, not as proof of authorship, responsibility, or truth.

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How this developed

  1. 5 October 2026

    OpenAI sets out phased text watermarking rollout

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