Power Energy
When AI Meets Censorship: The Hidden Economic Logic Behind Content Moderation Black Holes
When an AI system flags ''POLITICAL_CONTENT_DETECTED'' and halts analysis, it reveals a deeper market phenomenon: the rise of algorithmic risk aversion as an infrastructure cost. This article explores the hidden economic logic—how content moderation AI inadvertently creates data opacity, distorts supply chains in the information economy, and imposes a ''safety tax'' on analytics. We argue that these systems are not just filters but new economic actors shaping the value and flow of global data.