Six new names for old wounds. The 'psychological debt' said to accompany AI is neither novel nor peculiar to the technology—it is the perennial business of managing people through change. The first of five essays on what the diagnosis gets right, and what it conveniently overlooks.
There is a familiar shape to the discussion of artificial intelligence in Australian enterprises. Adoption figures rise. Pilot counts rise. Licence spend rises. Somewhere in the annual report a paragraph
Generative AI has made plausible ideas nearly free, and a fashionable argument says this changes everything. It doesn't. Ideas were never scarce—judgement was, and remains so. On Grub Street at industrial scale, AI slop, and the only mile that was ever hard.
Part IV of a IV part series. The organisations capturing real value from AI are not better at AI; they are better at running organisations. The specific moves boards and executives can make to join them—and why nine years of evidence says most will not.
Part III of a IV part series: thirty-four per cent of organisations claim to be deeply transforming with AI. Eighty-four per cent admit no jobs have been redesigned. These two findings cannot both be true in any operationally meaningful sense. One of them is theatre.
A double issue. April and May kept returning to one move: swapping something legible—a competency grid, a diagnosis, a silver-bullet hire, a perpetual pilot—for the harder work of judgement. The task is always to weigh the particular case, not reach for the proxy that spares the weighing.
Part II of a IV part series: twenty-five per cent of organisations have moved AI experiments into production after nine years of trying. Fifty-four per cent expect to within three to six months—a prediction that has appeared in every major survey for nearly a decade.
Part I of a IV part series: for nine years surveys have produced a remarkably similar finding: a small minority of organisations capture real financial value from AI; the great majority spend, signal, and pilot.
March’s essays converge on a simple truth: leadership is less about solving problems than managing enduring tensions. From strategy to governance, the task is not to choose sides, but to exercise judgement—resisting the drift toward process, theatre, and easy answers.
A practical method for how to turn AI into a thinking partner—surfacing assumptions, testing arguments, and strengthening decisions through disciplined cognitive friction.
AI makes language effortless—but thinking is done best when it is effortful. Thus, beware the “chat trap”: how casual use of generative AI can quietly soften judgement by replacing framing, definition, and trade-offs with fluent prose.
