Confession of Systematic Theft: How AI Giants Are Destroying the Internet from Within

Classified internal documents from Microsoft and OpenAI reveal an unprecedented level of self-awareness regarding these problems. Phrases such as "stunning theft of unprecedented scale" and "the largest labor theft in human history" go beyond legal rhetoric — this is an acknowledgment of the fundamental ethical and economic vulnerability of the generative intelligence business model.

The key analytical conclusion lies not in the fact of data accumulation itself, but in their recognition of the "death loop." This concept describes a cascading effect: models are trained on human content, generate derivative materials, which then become fuel for subsequent iterations. As a result, there is a gradual degradation of information quality and dilution of the value of original human labor. The Internet is becoming a closed system where synthetic content displaces organic content.

These acknowledgments have far-reaching consequences for regulation. Jurisdictions are already preparing to introduce mandatory data licensing and compensation mechanisms for authors. For the industry, this means an inevitable transition from the "capture first, ask questions later" model to a paradigm of sustainable interaction. The current situation requires a rethinking of approaches to digital content monetization and the creation of new economic models capable of ensuring the long-term viability of the information ecosystem.