Role(s)

The different hats you wear in your role

Most people in knowledge work wear several hats, and AI needs to know which one is on before it can help well.

A job title tells a tool almost nothing. The real picture is in the mix of roles someone actually fills: strategist one hour, client contact the next, writer, reviewer, planner, fixer. Each of those modes has different expectations, different outputs, and different contexts that AI needs to read correctly.

When you describe your roles explicitly, you can use that description to shift how a tool works with you. Giving AI a short note about which hat you are wearing right now tends to produce much more useful output than leaving it to guess from the task alone.

Roles also clarify what should stay human. Some of what you do requires your personal judgment and relationships. Knowing which roles those are helps you decide where AI can genuinely help and where handing off would be a mistake.

Make it visibleList the four to six distinct roles you actually fill in a typical week, with one sentence each on what that role involves. Keep the list somewhere you can paste it into a prompt when you want a tool to understand what mode you are in.

Why AI needs this

Each part of your work matters to AI in a specific way. Some of it is context a tool needs before it can help, some of it is work a tool can take on, and some of it is judgment that should stay with you.

Mode-switching context

When you tell a tool which role you are in for a given task, it can calibrate tone, depth, and focus rather than defaulting to a generic professional register.

Spotting what AI can take on

Some roles are full of repetitive, well-defined work (summarizing, formatting, drafting) and some are not. Mapping your roles helps you see which parts are candidates for AI help.

Knowing what stays human

Roles that involve direct relationships, sensitive judgment, or accountability need you in them. Knowing which roles those are is as important as knowing which ones do not.

Shared picture for a manager

A manager or team lead using AI needs to describe not just their own roles but the roles they orchestrate, so the tool can help coordinate rather than just complete tasks.

Questions to explore

Use these on your own or in a group. There are no right answers, only better conversations.

If you listed the five things you spent time on last week, how many different roles do they represent?
Which of your roles is most about doing, and which is most about deciding or advising?
Are there roles you fill that no one else on the team does, and what happens when you are unavailable?
If you handed one of your roles entirely to an assistant, which would it be and why?
Which of your roles would a new colleague need the longest time to learn from you?

Readiness traps

Role lists tend to reflect the official job description rather than the actual day. What you really do is often not what you are officially responsible for.
The roles that feel the most routine are often the ones most worth examining for AI help, precisely because they are done without much thought.
Avoid describing roles so broadly (strategic leadership, cross-functional coordination) that the description has no traction with a tool. Specific is useful.