According to Korn Ferry, emotion AI is becoming the next frontier of workplace technology, with companies increasingly exploring systems that analyze facial expressions, tone of voice, body language, and other behavioral cues to assess how employees are feeling.
Once mainly used to evaluate customer interactions in call centers, the technology is beginning to appear in offices, elevators, and other workplace spaces. The market for emotion AI is expected to grow from under $3 billion today to around $9 billion by 2030 as companies invest in new ways to measure engagement, improve training, and identify safety risks.
The Promise—and the Risk
Korn Ferry experts say emotion AI could have practical applications in hiring, employee development, and high-risk environments such as factories and warehouses, where signs of distraction could signal potential safety concerns.
However, they also warn that the technology has significant limitations. Human emotions are highly contextual, and current AI systems can misinterpret facial expressions or behaviors, creating the risk that managers could draw incorrect conclusions about an employee’s engagement, attitude, or performance.
How Much Is Too Much?
The expansion of emotion AI comes as workplace surveillance is already widespread, with more than 70% of employees subject to some form of corporate monitoring.
Korn Ferry experts caution that using emotion data as a measure of individual performance could cross a concerning line, especially as monitoring moves beyond company devices and into everyday physical workspaces.
As emotion AI becomes more common, employers will face difficult decisions over how to balance workplace insights with employee trust, privacy, and appropriate boundaries.
