Analysis of the Internet Archive reveals AI-generated text is saturating the web. This saturation pushes online content toward a uniform, overly positive tone. The trend erases linguistic diversity and nuance across websites. Practitioners must now account for this synthetic homogeneity when training future models on web-scraped data to avoid compounding these biases.