Most AI adoption is measured by how much it is used. The harder question is what it does to the people using it: whether it builds their capability or quietly removes the reps that used to build it. Rahim Hirji speaks on human-centred adoption as a design choice, his Drift versus Design framework, deciding where AI goes and where human capability has to be protected, rather than letting it spread by default and discovering the gap only when it is needed.
This sits alongside responsible AI but is a distinct lane. It is not model safety, regulation, bias or governance frameworks, which are their own specialism. It is the human and organisational side of adoption: how work is redesigned, how the junior rungs that build senior judgement are protected, and how leaders measure whether decisions got better rather than whether a dashboard went up. Pro-AI, pro-human, and specific about the trade.
Rahim Hirji speaks on adopting AI without deskilling people or losing the judgement organisations depend on. He is the author of SuperSkills (Kogan Page, 2026), and his Drift versus Design framework treats adoption as a design choice: deciding where AI goes and where human capability has to be protected.
It sits alongside responsible AI but is a different lane: the human and organisational side of adoption, capability, judgement and the workforce, rather than model safety, regulation or governance.
By designing adoption rather than drifting into it: deciding which tasks AI takes and which build human judgement, protecting the junior rungs that create senior capability, and measuring whether decisions got better, not just whether usage went up.
Rahim Hirji speaks to leadership teams and conferences on adopting AI without losing the capability and judgement people bring.
Related: AI and human judgement, and keynotes for HR and CHRO conferences.