Who Bears the Hidden Cost of AI Productivity Gains
Source: The Human OS Manual, by Oscar Trelles
Part of: AI tools shrink what they promise →
The gap between AI demo results and organizational reality is widening into a management crisis—not because the technology fails, but because someone has to own the exceptions, validation, and process redesign that demos never show. Gallup found that 63% of AI-using workers report productivity gains, yet enterprise adoption conferences now focus on "orchestration gaps." Efficiency gains are being captured unevenly: some roles disappear into automation while others transform into exception-handling and quality-control work that wasn't priced into the original business case.