Analysis of Internet Archive data reveals AI-generated content is saturating the web. This shift creates a linguistic flattening, replacing diverse human expression with a predictably upbeat tone. The trend reduces stylistic variety across websites. For developers, this means future training sets will contain fewer organic linguistic patterns, potentially degrading the quality of future LLM outputs.