Latest posts

  • Why AI Governance Keeps Failing — and What Autopoiesis Explains About It

    # Autopoiesis: Why AI Governance Keeps Failing to Stick Every major AI governance effort of the last five years has followed the same disappointing arc: ambitious framework, earnest implementation, system continues largely unchanged. The EU AI Act, algorithmic auditing requirements, GDPR’s application to ad-tech: each has produced genuine friction, some fines, a lot of compliance…

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  • Emergence: Why AI Cannot Be Managed, Only Cultivated

    The most consequential things AI does in your organisation were not planned. Nobody decided that the recommendation engine would lock your customers into a narrowing content corridor. Nobody scheduled the moment when three AI-optimised suppliers simultaneously de-prioritised your orders because they all read the same market signal. Nobody chose the emergent norm where your AI-assisted…

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  • Co-Evolution: Why Your AI Strategy Is Already Out of Date

    Every organisation deploying AI is making a version of the same mistake. They assess what AI can do today, decide whether to adopt it, and build a strategy around that assessment. The mistake is not being wrong about current capabilities. The mistake is treating capability as a fixed property of the technology. It is not.…

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  • Requisite Variety: Why AI Monocultures Will Fail Your Organisation

    In 1956, British cybernetician W. Ross Ashby articulated a principle so fundamental it should sit above every AI strategy deck: Only variety can destroy variety. Ashby’s Law of Requisite Variety states that a control system must possess at least as much variety — the number of distinct states it can occupy — as the system…

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  • The Edge of Chaos in AI-Augmented Teams

    How AI moves teams to adaptive complexity—and when it tips into fragility. Understanding Kauffman’s edge of chaos in knowledge work.

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  • Your Organisation Is Not a Machine

    Most leadership frameworks were designed for a world that behaves like a clock. You set the gears in motion; the output follows. Hire consultants, implement best practices, run the plan. But organisations don’t work like clocks. Neither do markets, cities, supply chains, or societies. They work like ecosystems — and that distinction has immediate, practical…

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  • AI as a Strange Attractor: How AI Reshapes Goals, Not Just Optimises Them

    AI doesn’t just help organisations reach their goals faster — it changes what the goals are. Understand attractor dynamics before you deploy.

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  • The Signal and the Story: How AI Is Disrupting Organisational Sense-Making

    AI can detect weak signals at scale — but can your organisation act on them? Explore why sensemaking, not detection, is the real challenge for AI-enabled leaders.

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