Date: March 30th, 2026 5:10 PM Author: JJC (retired)
The claim that AI has “ruined” internet content captures a real shift but ultimately overstates the case. What AI has clearly done is flood the internet with a massive volume of low-effort, highly derivative material—SEO-driven articles, generic explainers, and repetitive summaries that add little original insight. Because many AI systems are trained on similar data, this has also led to a noticeable homogenization of tone and structure, making large swaths of content feel interchangeable and dull. At the same time, the economics of publishing have changed: it is now extremely cheap to produce content at scale, which incentivizes quantity over originality and contributes to a noisier search environment. However, it’s not all degradation. The baseline quality of everyday informational content has actually improved, with clearer, more structured answers now widely available, and AI has enabled coverage of niche or long-tail topics that previously went unwritten. The most meaningful change is not that good content has disappeared, but that it has become harder to find amid the flood. As a result, discovery mechanisms—search engines, social platforms, and trusted voices—matter more than ever. In that sense, the internet isn’t ruined so much as it is stratified: commoditized at the low end, while high-quality, insight-driven content still exists but increasingly requires better filtering, stronger curation, or direct relationships with credible sources to access.
(http://www.autoadmit.com/thread.php?thread_id=5851680&forum_id=2#49781414) |