Where AI must never take the lead

Some parts of the manager job look like language tasks but are not. When AI drafts a status update and gets a word wrong, you fix it. When AI shapes a judgment about a person and gets it wrong, you can damage a career and break trust that took years to build.

Keep these firmly human:

• Performance judgments. Whether someone is meeting the bar, who is ready for promotion, who is struggling — these rest on context, history, and fairness that you hold and the model does not.
• Trust and conflict. Reading a tense situation, deciding who to believe, repairing a relationship. AI has no stake and no accountability here.
• Career-shaping calls. Ratings, raises, role changes, letting someone go. A person owns each of these, fully.

Why the caution runs deep: models sound confident even when wrong, and they absorb bias from the data they learned from. Research keeps showing they can reproduce subtle discrimination in the language they choose. Point one at a person and you risk laundering bias behind fluent prose while feeling more certain, not less.

The healthy line is simple. AI can help you organize your own observations and check your own writing for clarity or tone. It must never generate the judgment itself. When you notice yourself asking the model what to conclude about a human being, stop — that conclusion is yours to reach and to defend.