For the past few years, much of the conversation around generative AI has focused on one skill: prompting.
We have learned to give AI context, define the audience, specify the task and refine our instructions.
But AI is changing. As AI agents become more capable, it becomes less about asking AI to produce something and more about delegating work to it.
There is an important difference.
A traditional AI assistant responds to a request. Draft an email, summarise a report or brainstorm ideas. You review the response and decide what happens next.
An AI agent can potentially take a goal and complete a series of steps towards achieving it.
You might ask agents to review previous meeting notes, identify outstanding actions, gather relevant information and prepare agendas.
The interaction shifts from: “Do this task” to “Help me achieve this outcome.”
Anyone who has managed people knows that effective delegation is not simply handing over a task and walking away.
The same principle applies to AI. Users need to define the:
- desired outcome
- information available
- boundaries
- authority
- checkpoints and conditions requiring human input.
Remember, delegation must never become abdication. If an AI agent gets something wrong, the organisation still owns the outcome.
Be AI-Wise
The next generation of AI users will not just be better at writing prompts, they’ll decide:
- What should I do?
- What should AI do?
- Where do we need to work together?
Knowing how to use AI matters. Knowing how to delegate to it wisely will matter even more.
Leadership question:
Are you preparing employees to prompt AI – or to manage increasingly autonomous AI work?
GAPS Professional Writing helps organisations build practical AI capability, strengthen workplace writing and redesign workflows for effective human-AI collaboration. Visit www.gapswriting.com.