Why the obsession with AI cost-cutting misses the mark

While Wall Street often cheers for executives who cut jobs to boost margins, Diasio argues that AI’s true potential lies in growth rather than simple subtraction. Shrinking the time required for a specific task rarely eliminates the entire role surrounding it, because human judgment, coordination, and oversight remain essential to prevent workflows from becoming brittle or generic. When companies treat AI primarily as a weapon for layoffs, they incentivize employees to hoard knowledge rather than collaborate on the difficult work of redesigning business processes.

Investment costs are mounting rapidly, with tech giants like Amazon, Microsoft, Meta, and Google projected to spend 725 billion dollars on capital expenditures in 2026. Given this scale, the pressure on CFOs to demand a direct return on investment is understandable. However, Diasio notes that productivity gains do not automatically translate into immediate cost savings. Real success requires leaders to look past the fear-based reduction of headcount and instead ask how to redeploy the time AI recovers. Organizations that focus on creating new markets and business models will inevitably outperform those that merely view technology as a tool for austerity.