Edge

What makes you special or skilled

Your edge is the specific combination of knowledge, judgment, and experience that makes your contribution distinct, and it is the hardest thing for AI to see without a description.

Anyone can say what they do. Fewer people can say what makes the way they do it different. Your edge is the combination of domain knowledge, hard-won judgment, relationship capital, and particular experience that makes your version of the work distinct. It is usually built over years and not fully conscious.

For AI to be a useful collaborator rather than a drag, it needs to understand your edge. That tells the tool what to protect, what to amplify, and what to leave entirely to you. A tool that does not know your edge will produce output that ignores what is most valuable about your contribution.

Naming your edge also matters for the team. In a group using AI, the people with the deepest expertise should be spending more time on work that requires it, not less. A shared picture of who brings what is a starting point for allocating AI assistance sensibly.

Make it visibleAsk two or three people who work with you what they come to you for that they would not go to someone else for. Write their answers down alongside your own view, and note where they agree and where they differ. That combined picture is a more accurate description of your edge than any self-assessment alone.

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.

What should never be automated away

Your edge defines the parts of your work that lose value if handed to a tool. Knowing those parts is how you protect them while letting AI handle everything else.

How to brief a tool well

A short description of your edge helps a tool understand what good looks like in your hands, so it can aim for that rather than a generic adequate.

Where your judgment is the asset

Experience-based judgment (reading a situation, knowing what is missing, sensing when something is off) is almost always tacit. Naming it does not transfer it, but it does help AI know when to flag something for you rather than proceeding.

Positioning in a team using AI

In a team where AI takes on more routine work, the people with the clearest edge on hard problems become more valuable, not less. Surfacing your edge helps the team see who to route the hard calls to.

Questions to explore

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

What do people on your team come to you for specifically, rather than someone else?
What would change in the quality of the work if you were replaced by a capable generalist?
Which decisions do you make differently now than you did five years ago, and what changed?
Where does your judgment outperform what any tool could produce from the same inputs?
What do you know from experience that you would struggle to write down or teach?

Readiness traps

Edge is often invisible to the person who has it. The things you do that feel obvious to you are frequently not obvious at all; ask a colleague what they would miss if you left.
Describing your edge as a list of personality traits (detail-oriented, creative, strategic) gives a tool nothing to work with. Describe it in terms of what you do that others do not, with examples.
Edge can become a trap. The areas where you are strongest can become the areas where you invest too much of your time. AI should free you to use your edge more, not less, by handling what does not require it.