The same structural bottleneck now appears almost everywhere: science, public services, consultancy, software, universities and politics. Join the conversation on LinkedIn. https://www.linkedin.com/posts/antlerboy_the-centre-is-from-mars-the-edges-are-from-activity-7460354986712039424-lO28?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACuq-oBecVFDW6PCf3lkoG-peMeuLBeoho
The same structural bottleneck now appears almost everywhere: science, public services, consultancy, software, universities and politics. As usual, the issue isn’t lack of intelligence or expertise. It’s that institutions lose the ability to assemble the right cognition across boundaries.
But mature systems usually fail due to competence: they become optimised around their own selection mechanisms. Credentials, procurement, professional identity, funding cycles, governance, audit, peer review, strategic planning and brand protection all begin as ways of coordinating complexity, and then they harden into filters against reality itself.
The organisation starts rewarding legibility over insight, signalling over learning, compliance over adaptation, representation over contact with the actual situation. Meanwhile the real knowledge increasingly lives between disciplines, in tacit practice, at the edges, in hybrids, outside formal authority and often in people who don’t fit institutional categories very well.
This is why so many systems now feel over-managed and under-capable. Public services know perfectly well that families connect with multiple services, yet their structures prevent integrated action. Consultancies often become transmission systems for professional consensus rather than discovery (there’s a whole literature on this!). Software escaped some of this for a while through open-source and networked collaboration, only to begin re-bureaucratising around platforms, venture incentives and managerial layers.
Politics may be the clearest: legacy parties have lost monopoly control over coordination and legitimacy, but the internet dissolved old filters faster than new coherence mechanisms emerged. Hence the strange mixture of institutional paralysis and populist eruption. Trump, “Brexit”, and similar phenomena were structural more than ideological events: high-variety disruptions entering low-variety institutional ecologies.
Ashby’s Law matters here: only variety can absorb variety. Most legacy institutionalism reduces variety precisely when environments demand more of it. The systems become less capable of sensing, integrating and responding just as the world becomes more interconnected, recursive and unstable.
It’s a tired trope to say that industrial-era institutions were designed for relatively bounded, slow-moving, disciplinary worlds, but the actual problems they face are transdisciplinary, globally coupled, tacit-heavy, politically entangled, fast-moving: climate, AI, housing, health, institutional trust, state capacity, and meaning itself.
But oscillation between bureaucratic sclerosis and chaotic anti-institutional reaction does touch the underlying coordination problem.
Instituions obviously matter – the question is: can build institutions capable of permeability, recombination, and adaptive learning without collapse? That feels like the central design problem of the next twenty years.
The same structural bottleneck now appears almost everywhere: science, public services, consultancy, software, universities and politics. As usual, the issue isn’t lack of intelligence or expertise. It’s that institutions lose the ability to assemble the right cognition across boundaries.
But mature systems usually fail due to competence: they become optimised around their own selection mechanisms. Credentials, procurement, professional identity, funding cycles, governance, audit, peer review, strategic planning and brand protection all begin as ways of coordinating complexity, and then they harden into filters against reality itself.
The organisation starts rewarding legibility over insight, signalling over learning, compliance over adaptation, representation over contact with the actual situation. Meanwhile the real knowledge increasingly lives between disciplines, in tacit practice, at the edges, in hybrids, outside formal authority and often in people who don’t fit institutional categories very well.
This is why so many systems now feel over-managed and under-capable. Public services know perfectly well that families connect with multiple services, yet their structures prevent integrated action. Consultancies often become transmission systems for professional consensus rather than discovery (there’s a whole literature on this!). Software escaped some of this for a while through open-source and networked collaboration, only to begin re-bureaucratising around platforms, venture incentives and managerial layers.
Politics may be the clearest: legacy parties have lost monopoly control over coordination and legitimacy, but the internet dissolved old filters faster than new coherence mechanisms emerged. Hence the strange mixture of institutional paralysis and populist eruption. Trump, “Brexit”, and similar phenomena were structural more than ideological events: high-variety disruptions entering low-variety institutional ecologies.
Ashby’s Law matters here: only variety can absorb variety. Most legacy institutionalism reduces variety precisely when environments demand more of it. The systems become less capable of sensing, integrating and responding just as the world becomes more interconnected, recursive and unstable.
It’s a tired trope to say that industrial-era institutions were designed for relatively bounded, slow-moving, disciplinary worlds, but the actual problems they face are transdisciplinary, globally coupled, tacit-heavy, politically entangled, fast-moving: climate, AI, housing, health, institutional trust, state capacity, and meaning itself.
But oscillation between bureaucratic sclerosis and chaotic anti-institutional reaction does touch the underlying coordination problem.
Instituions obviously matter – the question is: can build institutions capable of permeability, recombination, and adaptive learning without collapse? That feels like the central design problem of the next twenty years.