Why AI Is Making Everything Look and Sound the Same

The author argues that generative AI tools accelerate cultural homogenization by producing highly similar outputs—a phenomenon supported by various academic studies showing a collapse in ideation variety, vocabulary drift in scientific and casual speech, and convergence in UI and interior design. Rather than averaging human work, models are tuned through reinforcement learning to pick single consensus winners, establishing a shared first draft that narrows human creative output. The author contends that while basic competence and default styles become free and ubiquitous, genuine independence of source and originality command a growing premium. Open article →