Most organisations do not decide how much judgement to hand to AI; it moves on its own, one reasonable step at a time, until nobody is quite sure which decisions are still theirs. Rahim Hirji’s work is about making that boundary deliberate. His signature keynote, Drift versus Design, sets out the difference between drifting into AI and designing where humans stay in charge, and his framework of judgement allocation gives leaders a way to decide which decisions stay human, which the machine can take, and who remains accountable.
The risk of AI is less that it does the work badly and more that it does the work convincingly, so the judgement behind it stops being exercised and quietly atrophies. That is the thread through the risks Rahim names: synthetic seniority, the missing rungs and capability debt. Keeping human judgement strong is not nostalgia; it is how an organisation stays able to catch the moment the machine is confidently wrong.
Rahim Hirji specialises in where human judgement belongs as AI takes over the tasks. He is the author of SuperSkills (Kogan Page, 2026), and his signature keynote, Drift versus Design, is built around judgement allocation: deciding in advance which decisions stay human, which the machine can take, and who is accountable.
Deciding, deliberately, which decisions should be made by people, which by AI, and how accountability is assigned, rather than letting that boundary move on its own as tools spread.
It is about adoption and capability, not compliance: where human judgement should stay in the workflow and how to keep it strong, rather than model safety, regulation or governance.
Rahim Hirji speaks to boards, leadership teams and conferences on where human judgement belongs as AI takes over the tasks.
Related: human-centred AI adoption, and keynotes for boards and offsites.