When I was growing up in Turkey, the hallmark of a successful career was staying with one company for years, even decades. Today, that idea seems almost quaint. The Great Resignation may be receding into the rearview mirror, but workers are still job-hopping, especially younger ones. The average Gen Z tenure is 1.1 years, according to Randstad. Compounding the issue, newer hires are more likely to leave: employees with two years or less at a company are 38% more likely to quit within the next year. Companies must “earn” retention continuously.
Some startups have come up with clever strategies for boosting retention, like offering employees early liquidity. AI tools can also help leaders gauge flight risks by looking at tenure, compensation gaps, and sentiment trends. But those don’t fully capture the things that most so-called job hoppers are after: growth and meaning.
Employees don’t stay because the metrics make sense. They stay because the work feels purposeful, the growth feels real, and the environment feels human.
Here’s how leaders protect what AI can’t measure.
Don’t outsource understanding to AI
When it comes to gathering feedback and gauging employee sentiment, AI tools can automate the tedious, manual parts, leaving human employees to analyze the information. But there’s another side of the coin that it can’t replace: human empathy and context-based judgment.
Someone can report feeling a certain way while actually, consciously or not, feeling something else entirely. It’s the difference between emailing an employee already spread too thin about a new assignment and receiving a “Sure thing!” in response, versus hearing that same reply in person and noticing the sigh, the pause, the slight drop in their shoulders.
People can sense what others are feeling beyond what is said—through body language, broader context, and subtle signals that AI still struggles to interpret.
