On the Subject of Leadership

On the Subject of Leadership is a long-form conversation about what makes organisations work—and why much of what passes for leadership advice does not. Each episode features an executive or practitioner whose conclusions have been tested in consequential settings. The work is analytical, not anecdotal: incentives, power, trust, culture, and the limits of authority. Ideas are challenged, not affirmed. This is not motivational theatre. It is a search for what holds up under pressure. If you take leadership seriously and are sceptical of easy answers, this is for you.

On the Subject of Leadership is a business podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

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  Episode #14

  David Harvie: The Falcon's Club

  Aug 18, 20261h 19m

  Every incentive system that fails is easy to criticise. The difficult ones are those that work. In the late 1990s David Harvie sold for a firm that ran its Sydney floor as a concentric ring: new arrivals on the outside, moving inward as they succeeded, progressing through a hierarchy of birds toward the falcon. Individual numbers went up twice a day, visible to everyone. He reached the top tier and was flown to New York. He also, some time later, found himself unable to get out of bed. Asked to render a verdict on the system, he does not hedge: it worked. This conversation follows what a person does with that experience. Harvie leads direct sales at Totality, formerly Saxo Australia, and has built a health venture for time-poor fathers alongside it. He and I studied leadership philosophy together as postgraduates, which makes him one of the few people I can ask which of those philosophies survived contact with a target — and which quietly died. Takeaways Authority conferred by rank is not the same currency as authority granted by the governed, and the two are not interchangeable. An incentive system can succeed completely and still exact a cost its designers never measured. The disciplines a leader keeps in private are not private; employees and children are both watching the actions. Standards written by the people who must live under them outlast standards handed down — including when those people are five years old. The obstacle to a fuller life is rarely time and usually priority, though that claim is easier to make from some positions than others. Discipline is a mechanism; judgement is the context in which the mechanism is pointed at something. Chapters [00:00] Cold Open — Nothing to Do With Time [01:17] Introduction — The Least Examined Discipline [03:32] A Method Actor, and a Country Town [14:01] Where the Texts Met a Feeling Already Held [21:26] Revising the Model of Self [26:47] The Thundering Herd — A System That Worked [31:33] Becoming Coachable, Becoming a Coach [37:14] Three Pillars an Under-Five Team Wrote [42:24] The Drive Home That Became DADBODZ [48:30] The Queue in Which the Father Comes Last [53:34] Building Without Chevrons [59:10] Self-Command as the First Plank [1:08:24] Lightning Round — Alignment, Arrogance, Judgement Guest Links & References linkedin.com/in/david-harvie/ DadBodz Nexus Holistic Health About the Show On the Subject of Leadership is a long-form interview series, with a written companion, on governance, organisational culture, and how decisions are actually made. Guests are challenged rather than affirmed, and the argument continues in writing after the recording stops. For people who are sceptical of easy answers. Hosted by Dr Robert N. Winter. Subscribe / Follow Newsletter / Website: robert.winter.ink LinkedIn: dr-robert-winter X: @DrRobertWinter Instagram: DrRobertWinter Mastodon: social.winter.ink/@robert YouTube: @OnTheSubjectOfLeadership Credits Recorded remotely via Riverside Music: The Hidden Thread by Roberto Prado / Artlist

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  Episode #13

  Jay Fontanini: You Cannot Skip the Stages

  Aug 11, 20261h 13m

  Nine years of rising conversation about artificial intelligence, and a measured return that has not moved. The comfortable reading is that the technology was oversold. The uncomfortable one is that we have not yet done the work it requires of us. For the better part of a decade the surveys have promised imminent transformation, and for the same decade the earnings impact has stayed flat. Jay Fontanini's argument is that this is not evidence of a fraud but the signature of a general-purpose technology mid-adoption — the dynamo was ready long before the factory was rebuilt around it. The complementary investment that matters most, he contends, is not better software. It is human capital, and at the centre of that, judgement. Which raises the harder question the conversation works: if the models are now a near-substitute for the quick reasoning and rapid recall that peak early in a career, then the entire human premium falls on the accumulated, seasoned kind of intelligence that cannot be hurried into existence. Jay teaches executives through the structure of the medieval trivium on the principle that no stage can be skipped — and reports that they do not give up at the difficult foundations, but at the middle, where thinking with the tool actually begins. Takeaways The flat productivity number is a phase, not a verdict — but a theory that explains any delay as unfinished co-invention is only honest if the complementary work is actually being done. Artificial intelligence substitutes for fluid intelligence, not crystallised. It is cheapest exactly where we were quickest, and no help at all where we were wise. Most AI-attributed layoffs are ordinary corporate bloat wearing a new excuse — and they sit in direct contradiction with the efficiency dip that genuine adoption requires. Executives do not abandon the learning at the grammar stage. They abandon at the dialectic, and leap to holding forth about a tool they have not learned to think with. Judgement is earned rather than learned: cumulative, progressive, and not compressible into a prompt library. Friction belongs in the workflow by design. A system may draft anything; it should be permitted to send nothing. The engineers built a language model, which puts the humanities on the ground floor of the most technical instrument in the building. Chapters Guest Links & References Writing and notes: jayfontanini.com LinkedIn: linkedin.com/in/jay-fontanini/ Prediction Machines: The Simple Economics of Artificial Intelligence — Ajay Agrawal, Joshua Gans and Avi Goldfarb (2018). Jay's nomination for the one book to read before touching a prompt. From Strength to Strength: Finding Success, Happiness and Deep Purpose in the Second Half of Life — Arthur C. Brooks (2022), the source of the fluid and crystallised intelligence framing discussed in the episode. The Diversity Bonus: How Great Teams Pay Off in the Knowledge Economy — Scott E. Page (2017), on complementary skill in problem-solving teams. Superintelligence: Paths, Dangers, Strategies — Nick Bostrom (2014) About the Show On the Subject of Leadership is a long-form interview series, with a written companion, on governance, organisational culture, and how decisions are actually made. Guests are challenged rather than affirmed, and the argument continues in writing after the recording stops. For people who are sceptical of easy answers. Hosted by Dr Robert N. Winter. Subscribe / Follow Newsletter / Website: robert.winter.ink LinkedIn: dr-robert-winter X: @DrRobertWinter Instagram: DrRobertWinter Mastodon: social.winter.ink/@robert YouTube: @OnTheSubjectOfLeadership Credits Recorded remotely via Riverside Music: The Hidden Thread by Roberto Prado / Artlist

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  On the Subject of Leadership

  The Score

  Aug 10, 20268 min

  The second essay in the Prior Obligations series, released as articles in audio format, follows a number from birth to dashboard. When a felt condition becomes a score out of one hundred, it acquires an owner, a target, and a budget — everything except a cure — and the question of which way its correlations actually run turns out to matter more than the score itself. In This Article: A score is never merely descriptive; the moment it exists it acquires the apparatus of institutional life, and the apparatus acquires an interest in the condition's persistence. When a measure becomes a target it stops measuring; employees who notice their answers have consequences soften the answers. The headline correlations run at least as plausibly in reverse: the confident and secure adopt demanding tools, the anxious abstain. The score may be measuring the team, not the technology — where interpersonal risk is survivable, the anxieties are conversation topics. The exemplars are chosen for the legibility of their numbers, not the durability of their results; the metric nobody dashboarded was quality, and it reversed the flagship strategy when it finally arrived. A Thought With Which To Sit: "A number is easier to own than a failure, which is why failures are so often converted into numbers."

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  On the Subject of Leadership

  The Old Complaint in New Clothes

  Aug 3, 20268 min

  This week I begin a five-part series, Prior Obligations, released as articles in audio format. It starts with a farmer in a harvester cabin and an executive who never learned to type, because the newest anxiety about AI at work — six forms of "psychological debt", per a much-circulated Harvard Business Review piece — describes a transition from doer to decider that is generations old. The question is not whether the feelings are real. It is who owes the debt. In This Article: The shift from doer to decider predates the technology by generations; the farmer and the typing pool made it before anyone prompted a model. The felt experience of deskilling and identity threat is real and consequential, whatever becomes of the framework that names it. An ordinary restructure inflicts every one of the six so-called debts in a single quarter, and nobody coined a metaphor for that. Cognitive offloading is not a condition awaiting a mitigation programme; it is what happens when nobody leads the use of the tool. The genuinely new element is fluent output at the frontier of the user's competence — the one place the user cannot check it. A Thought With Which To Sit: "The average restructure inflicts every form of the newly itemised debt in a single quarter, more deeply than AI has managed in three years, and nobody ever coined a metaphor for it."

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  Episode #12

  Brett Raven: Two Things Kill It

  Jul 28, 202659 min

  An employee who is not spending enough money is not doing their job properly. That is not satire. It is the logic of a productivity metric currently in use in organisations measuring their people by token consumption — and the model provider sends a small perspex award to mark the achievement. Brett Raven has spent twenty-five years being held accountable for the numbers that artificial intelligence programmes are now generating in abundance. He has been chief technology officer inside fast-moving e-commerce businesses, advised the C-suite at Salesforce on enterprise architecture, and led an experience-platforms delivery practice at Accenture across the Asia-Pacific. He now works as a fractional chief information officer, which means he is called after the transformation has stalled. His position is blunter than his commercial interests would recommend: there is a bubble, the pilots are not converting, and the reason has almost nothing to do with the technology. This conversation works the seam between what artificial intelligence is claimed to deliver and what, on the evidence, it actually does. Takeaways The bubble is in the capital structure, not in the capability — and the two claims are routinely confused. The rules governing entry to the world's major equity indices were rewritten in a matter of weeks by private firms, with no regulator, no published impact analysis, and no appeal. One provider refused, which proves the rest had a choice. Token consumption is not a productivity measure. It is conspicuous consumption with a trophy attached, designed by the party collecting the revenue. What kills these projects is expectation management and change management. It is almost never the technology. Organisations do not need an artificial intelligence strategy, and they do not need a chief artificial intelligence officer. They need a business strategy specific enough to say which capability moves which number. The failed-pilot statistics are partly misread — but the defence only holds for firms that can afford genuine exploration, and almost none can. "Hours saved" is a claim about a counterfactual, and it rarely survives the question of where the hours went. Chapters [00:00] Intro [01:13] A word before we begin [01:55] Introduction [03:46] Is there an AI bubble? [08:09] Dot-com, the GFC, and "too big to fail" [12:17] Money printing, index rules, and whose retirement is exposed [14:57] Token maxing: spending as a productivity metric [16:59] Boards, delegation, and the report that travels [20:04] Klarna, after the press release [22:17] Australia as fast follower [23:58] Individual productivity and enterprise agents [28:11] Start with the problem, not the tool [30:53] Chief AI officers, and where AI belongs [34:52] Digital exhaust and the erosion of privacy [39:43] Telling a board what it doesn't want to hear [44:31] Long horizons, short quarters [46:36] The two-hour application [50:10] Pilots designed to fail, and funding in tranches [53:23] Lightning round [58:58] Close Guest Links & References Brett Raven The Consulting CIO About the Show On the Subject of Leadership is a long-form interview series on governance, organisational culture, and the realities of decision-making — without slogans or motivational gloss. Hosted by Dr Robert N. Winter. Subscribe / Follow Newsletter / Website: robert.winter.ink LinkedIn: dr-robert-winter X: @DrRobertWinter Instagram: DrRobertWinter Mastodon: social.winter.ink/@robert YouTube: @OnTheSubjectOfLeadership Credits Recorded remotely via Riverside Music: The Hidden Thread by Roberto Prado / Artlist

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