For decades, the publishing industry has been organized around one assumption: the reader is human. One book, one copy, consumed at a roughly human pace. That assumption is breaking down. The new reader is a machine. AI systems already consume content at a scale humans can't match — and
Most publishers know their content has been used to train AI models. Fewer know they had a legal right to prevent it — and that the enforcement deadline is now five months away. Publishers have held the legal right to opt out of AI training for several years. The EU’s
Understanding the gap between web protocols and AI licensing needs When publishers first learned that AI companies were training models on copyrighted content, the response was predictable: "Can't we just use robots.txt?" After all, search engines have respected these simple text files for decades, telling
A conversation with Giacomo D'Angelo, CEO of Amlet A clarity arrives when two previously separate problems suddenly reveal themselves as one. For Giacomo D'Angelo, CEO of Amlet, that moment came when he recognized a fundamental disconnect in how the publishing and AI industries were approaching the
There's a thought experiment worth considering: What if AI companies could license the same high-quality content that professionals rely on today? Not scraped web data of uncertain provenance. Not public domain works that predate modern practices. But current, expert-vetted, professionally edited books and journals, the kind that medical
Amlet is the world's first AI content registry, allowing publishers to register their works with a unique digital fingerprint to prove ownership and set licensing rules.