One of the more unsettling developments in modern work is this: employees are beginning to believe that algorithms may treat them more fairly than their managers do.

That is not because technology is warm, wise, or relational. It is because many employees have grown accustomed to inconsistency, favoritism, poor communication, and feedback that feels subjective rather than clear.

In that  environment, even an impersonal system can begin to feel more trustworthy than a human one.

The January 22, 2025 Harvard Business Review article identifies this as one of the trends shaping work in 2025 and beyond, noting the growing role of algorithms in scheduling, feedback, performance reviews, and compensation
decisions. It also acknowledges the tension: algorithmic management can feel alienating and can carry real social costs in the workplace.

And yet employees still appear open to it.

A June 2024 Gartner survey of more than 3,300 employees found that 57% believe humans are more biased than AI when making compensation decisions. An October 2024 Gartner survey of nearly 3,500 employees found that 87% of employees think algorithms could give fairer feedback than their managers right now. Gartner highlighted these findings in its January 2025 workplace predictions, and the HBR article incorporated them into its broader analysis of the future of work.

Leaders should not hear this as a celebration of machines. They should hear it as an indictment of management.

If employees would rather trust an algorithm than the person leading them, something deeper is broken.

Fairness is not just about decisions. It is about explanation, consistency, transparency, and the felt experience of being seen without being manipulated.

AI may help reduce some kinds of bias. It may surface patterns a manager misses. It may support more consistent processes.

But no system can replace the leader who knows how to tell the truth clearly, evaluate with integrity, and offer feedback in a way that strengthens rather than diminishes a person.

The real question is not whether AI should lead people.

It is why so many people no longer trust their leaders to do it well.