When AI-fluent employees deliver three times the output of their peers in the same seat on the Accountability Chart, how do we handle performance benchmarks and compensation?

Question

Tyler Smith · Accepted Answer

When individual productivity diverges wildly within the same seat, you are witnessing an operational inflection point. The worst mistake a leadership team can make is rewarding an AI-fluent top performer with more routine administrative work while paying their struggling peers the same salary for a fraction of the output.

First, look at the seat through the lens of GWC. Does the slower employee genuinely Get It, Want It, and have the Capacity to do it in an AI-accelerated environment? Capacity is not static. It now includes the ability to utilize automation tools to meet the modern speed of execution. If an employee resists using the tools that multiply productivity, their capacity score drops.

Second, redesign the performance standards for the seat. The employee producing three times the output has just demonstrated what the new baseline looks like. Update the measurable roles on the Accountability Chart to reflect higher output targets, faster turnaround times, and lower error rates.

Third, adjust compensation around strategic value and training. Elevate the high performer into a seat responsible for process design and team upskilling. Pay them for elevating the entire department, not just for running their personal tasks faster. As Erik Brynjolfsson observed, AI will not replace workers, but workers who use AI will replace workers who do not. Your job as a leader is to elevate the floor of expectations across your entire organization without burning out your early adopters.