AI is quietly giving bad advice to your workforce. Leaders should pay attention

• Key insight: Risk of personal AI reliance migrating into workplace decision-making.
• Expert quote: Cindy Cavoto, Headway expert, warns AI should support efficiency, not replace human responsibility.
• Supporting data: Over 50% used AI for critical life decisions; 41% reported resulting problems.
• Source: Bullets generated by AI with editorial review

People are putting important professional and life decisions into the hands of AI, and the results are not pretty. Leaders should do all they can to avoid this practice carrying over into the workplace.

Over half of people surveyed by micro-learning app Headway said they have used AI tools such as ChatGPT to make critical choices in areas like career, finance and health, and 41% say acting on the advice they received has led to problems. 

"[This] signals a dangerous shift toward delegating responsibility to algorithms," says Cindy Cavoto, a certified productivity expert at micro-learning platform Headway. "People are increasingly turning to AI for guidance and support, and this trend naturally extends into the workplace. As more companies integrate AI into their processes, everyone must be aligned on how it should be used and what role it plays."

While getting answers and suggestions from AI tools can be easier than seeking out expert advice, employers should be wary of employees' total faith in technology, and train them to verify information before acting on it, Cavoto says.   

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The risk of overreliance

Ideally, AI automates repetitious tasks, so employees can prioritize more important responsibilities, Cavoto says. But more than a quarter of the survey's respondents said not only did they seek out AI's assistance for major decisions, they ignored their gut instinct that its answers were wrong and followed its advice instead.

"AI should be a tool to leverage, not a proxy for human effort and knowledge," Cavoto explains. "While many use AI to interpret complex information, it doesn't have the full picture. That's where human judgment must step in. Overreliance weakens critical thinking and reduces the ability to spot and solve issues before they escalate."

Cavoto notes that employees' caution should be applied beyond job tasks to benefits. While many offerings have tech-based interaction options, benefit leaders and advisers should make themselves available to help workers understand their details.   

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As employers introduce more AI tools into their workplace, employee training must go beyond technical skills to include the ability to assess when AI can and can't be trusted, says Cavoto.    

"Technology should be integrated to support efficiency — not replace human responsibility," she says. "Cultures where decisions are double-checked by humans will outperform those where AI is trusted blindly."