AI now behaves like mass plagiarism, a claim surfaces on Hacker News. Axel argues that language models harvest text from the web without author consent, then sell the output to users. Those users, in turn, resell the processed content, profiting from copied material. The cycle fuels a market that ignores original creators for all content on the internet today daily everywhere.

Such practices undermine search engines. Axel cites a case where a copy‑cat site outranked his tutorial on Google. The duplicate article linked back to his own site using identical anchor text, revealing that the author had not vetted the source. Google’s ranking algorithm favored the copy, highlighting systemic flaws that reward content volume over originality for all web users today.

These dynamics expose a larger issue: AI‑driven platforms monetize scraped content while owners receive no compensation. The practice fuels a cycle of lazy production and inflated rankings. Stakeholders must confront this model, as current tools enable widespread duplication without accountability. Until policy and technical safeguards evolve, creators will continue to lose visibility and revenue to uncredited replicas for all creators.