Machine-generated text significantly impacts E-E-A-T signals because it often lacks the inherent qualities Google prioritizes for high-quality content. Specifically, AI models struggle to demonstrate genuine Experience and Expertise, as they synthesize information rather than possessing real-world understanding or unique insights. This can lead to content that is generic, repetitive, or even inaccurate due to hallucinations, directly undermining the Trustworthiness and Authoritativeness of a source. Google's algorithms are designed to reward content created by identifiable experts with demonstrable experience, which is challenging to attribute to an AI. Furthermore, the ease of mass production with AI tools raises concerns about content farm-like practices that prioritize quantity over quality, making it harder for search engines to discern truly valuable information. Consequently, content lacking these human-centric E-E-A-T attributes is likely to be devalued in search rankings to ensure users receive reliable and authoritative results. More details: https://www.scp.com.tn/lang/chglang.asp?lang=fr&url=https://4mama.com.ua/