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Available in Tokyo and across JapanJapan is routinely described as behind on AI. Its own national survey of 22,000 employees found employer AI use at 12.9 per cent, which is a fraction of what the discourse implies and not far off what every other measured country reports.
Rahim Hirji is available for in-person AI keynotes in Tokyo, Japan, and for online sessions worldwide. He 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.
JILPT national employee survey, 22,000 respondentsRead at the issuing body’s own page, and quoted in full below.
Watch the showreel · 2 minutes
A feel for the room before you put me in front of yours.
SuperSkills is endorsed by Karim Lakhani (Harvard Business School), Alnoor Bhimani (London School of Economics), David Rowan (founding editor, WIRED UK), Sherry Coutu CBE and ten others. Rahim has spoken to leadership teams at Google, Barclays, Kaplan, BPP University and Next 15. Published by Kogan Page, part of Hachette UK.
What organisers say
“We brought Rahim in to open our regional retreat in Istanbul with a keynote, in front of our ANZ leadership team, partner universities and priority recruitment agency partners. He went well beyond the brief, interviewing students and families directly so he could tell us what was happening on the ground rather than what we assumed from our own data. The keynote was a highlight of the event program, sparking conversation that carried on long after the session, and has an ongoing influence in our strategic thinking and forward planning.”
“Rahim delivered an engaging and insightful session that challenged me to think differently about the relationship between AI and human potential. Rather than focusing on what technology might replace, he shifted the conversation to the uniquely human capabilities that will define future success.”
On the book
“SuperSkills provides a masterful framework for navigating this shift. Through compelling storytelling and sharp strategic insight, Rahim Hirji maps the exact capabilities we need to partner with machines without surrendering our authorship.”
Every keynote is tailored after a briefing call, and the larger engagements start before the day rather than on it: a diagnostic of the client's own people, so the room hears its own evidence rather than somebody else's. What the room leaves with is written down.
What that has looked like: a survey of fifty of a client's own people run BEFORE the session, to find where judgement had already been handed to tools they had built themselves, read back to the executive team in their own words, then a workshop in which they named four or five of their own processes and rebuilt them; and a division of a very large company permitted exactly one AI tool, which after the constraint was examined moved to a multi-tool sandbox with different functions choosing different models, then repeated across further divisions.
Six of the seven engagements published on this site produced further work after the session rather than at it. The seven are set out in full at case studies, each with a line saying what it does not show.
How to read these examples. They are published to show how the work is put together, not as a client list for Tokyo. Most engagements are covered by confidentiality and are described without naming anyone; where a client is named anywhere on this site, it is with their agreement.
The Japan Institute for Labour Policy and Training surveyed 22,000 employees, stratified on the 2020 Census, with the OECD involved in the design. It found 12.9 per cent reporting any AI use by their employer and 8.4 per cent using it themselves.
That is a serious instrument, not a panel poll, and worth setting beside the others. Singapore measured firm adoption at 28.5 per cent. Korea measured actual firm adoption at 2.7 per cent. Hong Kong does not measure it. Read together, the picture is not a Japanese lag so much as a general gap between how much AI is discussed and how much of it is in use.
For a Tokyo board the useful consequence is time. Adoption is early enough that the decisions about which judgements stay human can still be made in advance, rather than reconstructed afterwards from what happened to be automated first. The full account is at AI and work in Japan.

AI rarely takes a whole job. It takes the first draft, the initial analysis, the routine review. Those were also the tasks through which people built the judgement that made them senior. The work still ships, the output often improves, and nothing triggers an alarm.
Low adoption does not protect the apprenticeship. It only means the substitution has not happened yet. Where it has been measured, the effect concentrates on exactly the people who were meant to be learning: France found employment of under-thirties in IT services down 7.4 per cent year on year, and Korea found the impact of AI adoption falling on younger, tertiary-educated workers. Neither country announced a plan to do that. It was the residue of a thousand local decisions.
The question for a leadership team is therefore about mode rather than adoption. Is the organisation drifting into AI through a thousand small reasonable decisions nobody quite made, or designing it by deciding in advance where human judgement has to remain? Drift asks nothing of you. That is what makes it the default.
Boards, executive committees, global headquarters, and corporate and association conferences in Tokyo and across Japan. Delivery is in English only. Simultaneous interpretation is arranged by the host where required, and the session is structured to work with it. Rahim travels from London, and where travel is not practical the same session is delivered online. He can travel to the region or deliver virtually across all time zones.
Three keynotes, all versions of one argument. Drift versus Design is the signature talk for boards and executive teams. We Are Superheroes covers the seven human skills that grow more valuable as the tools spread. WTH, What the Human is a live judgement test for boards, run in the room, December to March only. Full descriptions are at keynotes.
A Japanese-language summary of this argument is at the Japanese page, which is published in Japanese because the reader reads Japanese, not because the keynote is delivered in it.
JILPT found 12.9 per cent of employers using AI, from a national survey of 22,000 employees. The low figure tempts Tokyo leaders to relax. I read it the other way: early adoption is when habits form, and habits formed by default are hard to undo. My book SuperSkills, endorsed by Karim Lakhani of Harvard Business School and Alnoor Bhimani of the LSE, sets out the human skills that decide whether adoption goes well. A few answers from your people in advance shape the session, and your leaders agree which decisions to design now, while the number is small. It is delivered in English.
Rahim's keynotes in Tokyo draw on writing Box of Amazing every week since 2017 and on advisory engagements in Europe, the UAE and the US. Keynotes · Advisory · Box of Amazing
Keynotes run 30 to 90 minutes, in person or virtual. A 30-minute main-stage version of each talk is available for conferences, and the full talk runs 45 to 60 minutes. The sector examples change for the room; the argument does not. All three, with the showreel, are at keynotes, and the programme copy is at the speaker pack.
Drift versus Design is built from your room. Your audience answers five anonymous questions beforehand, their answers shape the talk, and afterwards you get a one-page readout with the three decisions to look at first.
Also speaking nearby: Seoul · Shanghai · Sydney.
Drift versus Design: why most organisations hand their judgement to AI without deciding to, and how to design your way through instead.
Japan is called behind on AI, yet JILPT found 12.9 per cent of employers using it. For a Tokyo leadership team, slow adoption leaves time to design decisions deliberately.
We Are Superheroes: AI is the suit. The human decides.
AI works like a suit worn by a craftsperson: it extends the work, and the person inside still decides what good looks like. Tokyo gets the version built for deliberate adoption.
WTH (What the Human): a live test of a board's own judgement.
A Tokyo board puts its review habits under test and sees where a confident AI answer would pass unchallenged, then agrees what a director should ask first.
Three geography flags first, because each one appears in decks that call these Tokyo events. CEATEC and the autumn Japan IT Week are in Chiba, about forty minutes out. IVS has moved to Kyoto and is now run with the prefecture and the city. And Pacifico Yokohama is in Kanagawa: defensible for a Japan event, not for a Tokyo one.
Golden Week is statutory and every day of it is set in law. In 2027: 29 April, then 3, 4 and 5 May, with firms bridging Friday 30 April, so treat 29 April to 5 May as a hard block. It costs money as well as dates: Tokyo International Forum quotes about twenty per cent more for Hall A on a holiday than on a weekday.
Obon is the dangerous one, because it is not a public holiday at all. The Cabinet Office list contains exactly one August holiday, 11 August. Yet around 13 to 16 August most corporates take leave and many manufacturers shut for the week. It is invisible to any holiday API an overseas organiser queries: the venue will sell you the room, it is a working day in law, and nobody will come. Block 10 to 17 August.
New Year is one statutory day and a week by convention, with mid-December already taken by year-end party season competing for every ballroom. The usable window opens mid January. Of the recurring events, SusHi Tech Tokyo has published 20 to 22 May 2027, and the spring Japan IT Week is 7 to 9 April 2027 at Tokyo Big Sight, which is the one edition of that brand actually in Tokyo.
Rahim Hirji speaks in Tokyo in English on AI, work and human judgement. He is the author of SuperSkills (Kogan Page, 2026) and founded EtonX, the online learning venture of Eton College. His Japan material comes from the JILPT national employee survey rather than from vendor research. Simultaneous interpretation is arranged by the host where required. The research behind the talk is published in full: 537 graded studies drawn from work across more than 200 organisations in over 30 countries, each with what it does and does not prove.
The Japan Institute for Labour Policy and Training surveyed 22,000 employees, stratified on the 2020 Census with the OECD involved in the design, and found 12.9 per cent reporting any AI use by their employer and 8.4 per cent using it themselves. That is lower than the discourse implies, and not far from what other measured countries report.
The comparison is less clear-cut than usually stated. Japan's 12.9 per cent employer use sits between Korea's 2.7 per cent measured firm adoption and Singapore's 28.5 per cent, and Hong Kong does not measure AI at all. The consistent finding across countries is that adoption is well below what the discussion implies.
Three to six months ahead for an in-person date in Tokyo. Shorter is often possible for a virtual session, and sometimes in person where the diary is free and the talk already exists in the form you need. Ask earlier rather than later. There is one of him, he carries advisory clients and other commitments alongside the speaking, so not every date can be taken.
Most conference keynotes come in around £10,000. What moves it: the time I commit, travel, how full the diary is that month, and how far the talk is built for your room. What moves the number is set out at what an AI keynote speaker costs. Tell us the room, the date, the audience and what you need them to do differently, and you will get a number within 24 hours. Schools, universities and charities are quoted differently. On travel there is one rule: outside London you book it and you pay it, because your rates are better than his and nobody is out of pocket waiting on a reimbursement. From London Heathrow to Tokyo that means a business-class fare, arrival the night before, and normally two nights in a standard room at or near the venue. A London booking carries no travel, accommodation or expenses at all.
When the decision has already been made and the session exists to announce it. When the audience has no authority over their own work, because the talk asks them to decide which repetitions are worth keeping. When the slot runs under thirty minutes, because the turn needs setting up. And when the session follows a vendor pitch, since order matters more than programmes usually assume. Where the conditions are wrong we will say so, and sometimes that means reshaping the session. Occasionally it means recommending somebody else.
Share the audience and the date. Long-haul dates are planned well ahead, so a first note now gives us the most choice.
Enquire or email rahim@thesuperskills.com
Part of speaking across Asia. See also Seoul and Singapore. The parent page for all of this is AI keynote speaker. Browse every topic, audience and region, or take the speaker pack to whoever is running the day. Every engagement delivered so far, with the dates checkable at each organiser, is at the speaking record. AIの基調講演者ガイド(日本語).
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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