In recent weeks, Accenture made headlines for linking senior managers’ promotion prospects to their use of internal AI tools. In a market defined by automation and efficiency, employees are expected to integrate AI into their daily workflows. Usage can now shape career trajectory.
That policy reflects something larger unfolding across corporate America. Companies are not just using AI to automate tasks. They are using it to raise expectations about how much work humans should produce.
This is not inherently misguided. Measurement is essential to discipline and performance. AI tools can reduce friction, eliminate low-value tasks, and clarify goals. Used thoughtfully, they can enhance human capability.
The mistake lies elsewhere.
The danger emerges when higher measured output is mistaken for sustainable performance. When organizations equate productivity gains with permanent increases in expectation, they effectively borrow against biological reserves. The debt is paid later in disengagement, turnover, and diminished adaptability.
