Source: Machinesociety
As AI systems proliferate across enterprise software, they're generating massive amounts of low-quality outputs—duplicated analyses, redundant reports, hallucinated data—that workers must filter, verify, and discard. This shifts cognitive overhead from machines to human staff. Early refrigerators leaked toxic gas; their operators bore the cost. AI's productivity claims similarly mask a systemic inefficiency: the tools create work faster than they eliminate it. The apparent efficiency gains vanish when you account for the distributed cognitive tax imposed on thousands of knowledge workers forced to serve as quality gatekeepers. This has real economic consequences.