In matters of work, school, and even romance, we increasingly turn to A.I. chatbots. This shift signals a transition toward a post-human internet, where the primary creators and consumers of digital content are no longer human beings, but algorithms designed to mimic them.

As these tools proliferate, a critical question emerges: what happens when the bots begin talking to one another? When A.I. generates content that other A.I. then processes, the internet risks becoming a closed-loop system. This cycle could lead to a degradation of information, as bots amplify their own hallucinations and biases without human oversight.

Industry experts warn that if large language models continue to train on synthetic data, the resulting "model collapse" could erase the nuance of human expression. With millions of automated accounts already active, the boundary between organic interaction and algorithmic simulation is blurring. The scale of this transformation is unprecedented, potentially impacting billions of users who rely on the web for truth and connection, ultimately pushing us toward a digital landscape where human presence is the exception rather than the rule.