AI has already changed how companies approach productivity and automation. Now it is moving into a more personal part of work: how employees deal with other people.
A new report from Cloverleaf Labs examines what happens when workers use large language models to think through workplace conflicts.
The researchers tested five leading models against five common workplace scenarios. The resulting 75 conversations generated 638 pieces of advice, but only three encouraged genuine relationship repair.
The findings point to a growing tension in workplace AI. A system can give an employee useful advice while still making it harder to understand the other person involved.
According to research cited by Cloverleaf Labs, 93% of workers have used AI to prepare for a conversation with their boss, while 49% said AI was more emotionally supportive than their manager.
That makes AI increasingly relevant to the interpersonal side of work.
In conflicts with managers, 27 of 30 responses presented leaving the job as a legitimate option. Every model tested suggested it at least once.
The models also identified the manager as the problem in 60% of those responses, while offering a more generous interpretation of the manager’s behavior in only 3%.
The difference became more pronounced when employees had less power than the person they were discussing. Cloverleaf Labs found that relational coaching fell by roughly 40% in those situations.
The findings point to one of the limitations of using general-purpose AI as a workplace coach.
A model generally knows what the employee tells it. It may not know the history between the people involved, the organization’s culture or what the other person experienced during the conflict.
For companies, that means evaluating workplace AI may require more than measuring productivity or adoption. Systems used for coaching may also need to encourage self-awareness, accountability, different perspectives and relationship repair.
As AI adoption expands across Latin American companies and global teams, the next stage of workplace AI may depend not only on how much work it can automate, but also on how well it helps people navigate the relationships that automation cannot replace.
