Source: Fortune
Summary
Companies are using AI to increase productivity and efficiency, but this can lead to burnout and decreased performance in the long run. AI can double output, but human biology cannot keep up, leading to disengagement, turnover, and decreased creativity. The use of AI should be balanced with recovery cycles, autonomy, and trust to avoid creating brittle organizations that fracture under pressure.
Our Reading
The numbers tell one story. Accenture’s policy of linking promotions to AI usage is a symptom of a larger issue in corporate America. Companies are raising expectations about human productivity without considering biological constraints. AI can compress tasks, but not recovery time. The danger lies in mistaking higher measured output for sustainable performance.
Human performance follows nonlinear curves, and chronic stress degrades memory, judgment, and emotional regulation. Energy is finite, and recovery capacity is finite. When AI increases the pace and volume of work, the biological system does not scale in parallel.
Technology can compress tasks, but it cannot compress recovery. The borrowing-against-biological-reserves dynamic resembles financial leverage, amplifying short-term returns but raising long-term fragility.
Boards and executive teams should ask rigorous questions about AI adoption, including whether productivity gains come from friction removal or expectation escalation.
The companies most likely to succeed in the AI era will align technological acceleration with biological sustainability, recognizing that AI cannot rewrite the limits of human physiology.
It is the biological system expected to keep up with AI that is the true bottleneck.
Author: Evan Null
