As AI frees up time, leaders face a critical choice: pile on more work or protect the capacity employees need to perform at their best.
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When AI saves an employee an hour, what happens to that time? In many workplaces, it gets swallowed by another task. AI efficiencies make it easier for organizations to keep asking for more, even when employees are near their limits.
New research from O.C. Tanner suggests leaders need to protect that capacity, not keep spending it. Making “no” acceptable again can help.
To understand what helps employees and organizations thrive, O.C. Tanner surveyed more than 25,000 workers across 23 countries. The findings show why leaders need to recognize when employees are reaching their limits and adjust the work accordingly.
Treat capacity as a leadership responsibility
Employees often manage their limits, figuring out how to fit another task onto an already full plate.
Refreshed leadership advice from CEO Stephanie Mehta
O.C. Tanner identifies capacity protection as one of three pillars of organizational compassion. It includes understanding employee limits, prioritizing workloads, adjusting scope, and setting expectations around goals. The research argues that capacity should be an organizational responsibility, not something individual employees must manage themselves.
“One of the risks with AI is that every efficiency gain can start to look like unused capacity,” says Dr. Alex Lovell, vice president of the O.C. Tanner Institute. “Before we add more work, we should seek to understand what it takes to deliver on the expectations we’ve already set. If someone is already stretched, that extra hour saved can help them manage and better deliver on their existing commitments.”
Leaders can interrupt that cycle by checking workloads before employees hit a breaking point. When someone is at capacity, determine what can be moved or re-scoped, and where support can help.