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It Won’t Pay to Ignore BurnoutIt Won’t Pay to Ignore Burnout

A combination of employee experience tools and managerial retooling could help a company’s bottom line.

Lisa Schmeiser

January 30, 2025

3 Min Read

In the past year, a few constants have become evident in the modern world of work: the RTO debate is entering its fifth year, to the dismay of both return-to-office advocates and hybrid workers; workers are in "permacrisis" characterized by constant burnout; and they're AI-skeptical.

But what about using AI to combat burnout? Done correctly, that kind of technological deployment would solve two high-level management problems: employee engagement and lagging AI adoption rates. At No Jitter, contributor Robin Gareiss floated research suggesting that AI could provide companies with an impetus to move from an hours-based model of employee workload to a productivity-driven model:

Too many business leaders see generative AI as a catalyst for higher profits, while avoiding any paradigm shift away from the 40 (or 50, or 60+)-hour workweek. Why not, instead, see it as a catalyst for improving more than just the bottom line? Though there are valid concerns about malicious use of any type of AI, business leaders must also spend time thinking about and educating on how the technology can change workstyles and lifestyles.

The benefits of a shorter workweek included boosted employee engagement, reduced employee churn (employees cost money to replace and often do not reach full productivity during the first six months on the job) and reduced burnout.

That shorter workweek might also provide workers with something that's keeping the RTO debate from resolving: a sense of autonomy over their time. Autonomy might also be key to addressing burnout issues. Recent research from the University of Queensland, published in the MIT Sloan Management Review, offered a work framework that is meant to address employee burnout:

The SMART Work Design Model was created to provide employers with guidelines on the five key work design characteristics they should consider when designing work: stimulating, mastery, autonomy, relational and tolerable demands.

Dr. Caroline Knight from UQ Business School said, "Offering an already overworked and burnt-out employee productivity tips and ways to assert healthy boundaries isn't helpful when it's clear the job entails long hours and unreasonable workloads. The SMART framework encourages managers to think more broadly about how they curate work that allows their employees to thrive."

And it might be a framework a smart manager could develop with AI assistance and an employee experience platform.

Employers should care that their workers are feeling charred -- not just because it's the humane thing leaders do, but because burnt-out workers cost money. A report in Harvard Business Review last year estimated that stressed employees cost U.S. employers' health care programs anywhere from $125 to $190 billion dollars a year and "the biggest factor in these costs was high demands at work, responsible for an estimated $48 billion in spending."

So even if the humanitarian incentive is not there, the financial incentive is. A savvy workplace manager responsible for employee experience has a great opportunity to solve two of today's existing workplace challenges -- AI resistance and employee burnout -- while also providing cost justifications for it all. That's a win-win-win for everyone.

About the Author

Lisa Schmeiser

Lisa Schmeiser is the editor of No Jitter and Workspace Connect. Her tech journalism career spans more than two decades, from writing tech-hows through the 1990s to editorial positions at ITPro Today, InfoWorld and Macworld. She's been nominated or won awards for her tech feature writing, including a recent nomination for the Jesse H. Neal award and the American Society of Business Publication Editors award for best tech feature. Schmeiser is also a frequent contributor to tech-facing podcasts on the Relay.FM network and on TechTV's The Week in Tech. She can be found on Twitter at @lschmeiser.

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