Skills for AI-enabled work.
A briefing on the human skills that make AI useful: instruction, judgement, checking, context, confidentiality, and communication.
30 May 2026 · 7 min read
Instruction
People need to learn how to describe a task clearly. A useful instruction explains the goal, audience, constraints, source material, expected format, and what should be avoided.
This is not only a technical skill. It is a communication skill, because the person must understand the work well enough to ask for the right kind of help.
Checking
AI-enabled work requires stronger checking habits. Staff need to compare outputs with source material, test assumptions, identify unsupported claims, and recognise when a result sounds confident but weak.
Checking should be built into the workflow, not added as an afterthought. If nobody has time to review outputs, the use case is probably not ready.
Confidentiality
A central skill is knowing what information can be used and what must stay out of an AI-assisted process. This includes personal details, confidential documents, and anything governed by internal policy.
Training should make the boundary easy to remember. People should not need to interpret complex rules under pressure.
Confidence
Good training should build confidence without encouraging overconfidence. People need to know where AI can help, where it is unreliable, and where human judgement is still the main value.
The goal is not to turn every worker into a specialist. It is to help people make better decisions with a new form of assistance.