The largest players in the artificial intelligence market — Google, OpenAI, Microsoft, and Anthropic — have reached an agreement to support a unified mechanism in the robots.txt file that will allow website owners to centrally prohibit the use of their content for training neural networks. The new signal is called __usage_ai-training.

The Essence of the Mechanism

Until now, publishers were forced to specify separate restrictions for each AI developer, which created a fragmented and labor-intensive control system. The unified signal eliminates this problem: a single directive in robots.txt will be recognized by all parties to the agreement, forming a universal standard for managing content rights.

Implementation Timeline

The deployment schedules differ among the companies. OpenAI plans to implement support in the coming months, making it the most prompt participant in the initiative. Google states implementation within 2027, and Microsoft will begin supporting the mechanism from February 2027. Such asynchrony means that the transition period will stretch for at least a year.

Why This Matters

The initiative reflects growing pressure from publishers and rights holders demanding control over the use of their data in the training corpora of large language models. Unifying the signal creates a technical basis for more transparent relations between content creators and AI developers — and potentially opens the path to licensing models for data monetization.

For the market, this is a signal of institutionalization: the largest companies are voluntarily accepting restrictions that previously were fragmented. However, the real effectiveness of the mechanism will depend on how strictly it is observed and what sanctions follow violations.

Cryptalist Analysis: The unification of the __usage_ai-training signal reduces publishers' operational costs but does not resolve the fundamental issue of enforcement — the mechanism remains declarative. For the crypto industry, this creates a niche for decentralized solutions for verifying data rights and monetizing them through blockchain protocols, which could become the next stage in the evolution of the data market for AI.