In information theory and behavioral economics, zero-marginal-cost generative AI collapses the scarcity value of technical perfection, shifting consumer utility toward genuine human error. This triggers what Jean Baudrillard termed the simulacrum of authenticity.
When organic flaws (typos, fatigue, abandoned effort) become prized Veblen indicators of human labor, market forces predictably engineer synthetic imperfections to satisfy the demand. Industrial algorithms generate "notarized moments of tiredness" at scale—demonstrating Goodhart's Law applied to human identity: once error becomes a metric for authenticity, error itself is algorithmically optimized and mass-produced.
Socio-Cognitive Commentary