Source: Marginal REVOLUTION
As AI systems flood the web with plausible-sounding but often mediocre or false content, they're creating a feedback loop where future AI systems train on degraded data, accelerating quality collapse. For consumers, this means the internet's utility as a reliable information source erodes faster than most realize—search results worsen, credibility signals fail, and distinguishing human expertise from machine filler becomes the defining consumer problem. The economics are brutal: platforms benefit from volume and engagement regardless of quality, so there's no market mechanism to stop the degradation.