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For HR and people leadersFor the people function: the human-capability side of AI, the skills, the judgement and the talent pipeline, not the tooling. Skills, not algorithms.
Rahim Hirji is a London-based keynote speaker specialising in AI and human judgement, and the author of SuperSkills (Kogan Page, 2026). He founded the skills platform EtonX, later acquired by Eton College, and led Quizlet’s international growth across more than 60 countries.
CHROs, HR and people leaders, and talent, reward and learning-and-development teams, at company conferences and at sector events. It is a natural fit for HR audiences because the whole argument is about capability: which human skills become more valuable as AI spreads, and how organisations build them on purpose.
Rahim Hirji gives HR and CHRO audiences a shared capability language, the seven SuperSkills, and names the risks that HR is best placed to see coming. Synthetic seniority: where junior people produce senior-looking work without building the judgement behind it, so a pipeline looks productive for three years and produces no senior people in fifteen. The missing rungs: the junior tasks that used to build senior judgement, removed by automation before anyone noticed they were load-bearing. And capability debt: the accumulated cost of skills not developed and judgement not exercised. It connects directly to reskilling, early-career development and workforce planning.
For an HR audience that wants the human-capability side of AI, skills and the talent pipeline rather than the tooling, Rahim Hirji is a strong fit. He is the author of SuperSkills (Kogan Page, 2026) and speaks on the capabilities that hold their value as AI takes over the tasks. Google's EMEA People Operations leadership team brought him in to work through AI and human judgement, built from a survey of the team beforehand.
The seven SuperSkills as a shared capability language, plus the risks HR is best placed to see: synthetic seniority, the missing rungs and capability debt. It links directly to reskilling, early-career development and workforce planning.
A conference keynote runs forty to ninety minutes, with workshop and panel formats available, for audiences from an HR leadership team to a full plenary. Delivered in person and online, worldwide.
“We brought Rahim in to help our EMEA People Operations leadership team think through AI and human judgement. He surveyed us beforehand, sixteen of eighteen answered, and he built the session from our own responses, so the whole morning was about us. I’d recommend him to any leadership team working out what should stay human.”Karina GovindjiDirector, Head of HR UK, Google
Five members of that session, in their own words, collected afterwards by the host and published with their permission.
“I particularly liked the concept of an augmented mindset: understanding when to use AI and, equally importantly, when not to use it.”SallyTalent Acquisition Specialist · Luminary, September 2026
“Today’s session gave me hope that people are not just blindly all in with AI but are actively figuring out how we can still use our brains.”MeganManager, People · Luminary, September 2026
“Rather than focusing on what technology might replace, he shifted the conversation to the uniquely human capabilities that will define future success.”AmanDirector, People and Culture · Luminary, September 2026
“Such a thoughtful, human approach and perspective which I appreciated.”CharisseExecutive Director, People and Culture · Luminary, September 2026
“I loved his metaphors that took a simple relatable item and built the content around it. The evolution of the super hero was a great way to set the tone.”LeahDirector, People and Culture · Luminary, September 2026
Luminary is a community of female leaders and high potentials working in HR and people, founded by Azmina Kara, who brings in speakers for its members. The brief was to make sense of AI for them without the hype and without the fear. The session started with the human rather than the technology, and the host's account afterwards was that it “made AI feel simple and made us feel capable”. Five members wrote their own accounts of it, which are on the keynotes page.
What this does not show. One session with one community, and the accounts come from the people who commissioned it and attended it. Nothing was measured before or after.
Before speaking to the executive team of a company covering Asia-Pacific and India, a survey of fifty of their own people established where judgement tasks had been offloaded to tools the company had built itself. The findings were read back to the executive team in their own words, and the workshop that followed had them name four or five of their own processes and rebuild them.
What this does not show. Fifty responses in one organisation is a diagnostic, not a study, and no follow-up measurement was taken.
Seven case studies, each one saying what it does not show.
I brought Rahim in to speak to the Luminary Community, a group of female leaders and high potentials working in HR and people. I wanted something that would make sense of AI for them without the hype and without the fear. Rahim started with the human rather than the technology, and that reframing was the thing. He made AI feel simple and made us feel capable, which is not a combination I have come across before. Our members left with something they could actually use.Azmina KaraFounder, Luminary
Rahim Hirji speaks to HR, CHRO and L&D audiences on AI, human skills and the talent pipeline.
Also for boards and leadership offsites, or see ongoing advisory.
The claims in this session are all sourced, and HR audiences are right to check them. The research it is built from is public:
Every page above states what its evidence does not support as well as what it does, which is the same standard the talk is held to.
Not every brief is a talk. A board that needs to settle which decisions a machine may make wants a board briefing, a review or a standing advisor, and the five formats are set out side by side with what each one is for.
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