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Available in Seoul and across KoreaKorea put both halves of the question side by side, and the gap between them is the finding: 38.8 per cent of jobs technically automatable, 2.7 per cent of firms actually adopting. Almost every number in this field measures the first and gets discussed as though it described the second.

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The Korea Development Institute scored 38.8 per cent of Korean jobs as technically automatable across more than 70 per cent of their tasks. Its survey of 800 firms with ten or more staff found actual adoption at 2.7 per cent.
Those are not competing estimates. They measure different things: what a technology could in principle do, and what organisations have in practice done. Almost every widely circulated figure in this field is the first kind, and almost every boardroom conversation treats it as the second. A Korean audience has its own national institute's work to make the point with.
The realised effects are the ones worth carrying into a board meeting: no aggregate employment change, lower earnings, and the impact concentrated on younger, tertiary-educated workers and on women.
France's national statistics office found the same shape independently, with employment of 15 to 29 year olds excluding apprentices down 7.4 per cent year on year in IT services. Two countries, two methods, one silhouette, and it runs opposite to what twenty years of automation commentary trained everyone to expect. The story was never mass unemployment. It was the quiet removal of the first rung.
That is the mechanism at the missing rungs, and the debt it accrues is at capability debt.
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.
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, conglomerate leadership, and corporate and association conferences in Seoul and across Korea. 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 vs 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 Korean-language summary of this argument is at the Korean page, published in Korean because the reader reads Korean, not because the keynote is delivered in it.
Rahim Hirji speaks in Seoul 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 Korea material comes from the Korea Development Institute rather than from vendor research. Simultaneous interpretation is arranged by the host where required.
The Korea Development Institute's survey of 800 firms with ten or more staff found actual adoption at 2.7 per cent, against 38.8 per cent of Korean jobs scored as technically automatable across more than 70 per cent of their tasks. The two numbers measure different things, and the gap between them is the finding.
No aggregate employment change, lower earnings, and the impact concentrated on younger, tertiary-educated workers and on women. France's national statistics office found the same shape independently, which makes the pattern harder to dismiss as a single-country artefact.
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Part of speaking across Asia. See also Tokyo and Singapore.