Post #3528721

2026-05-05 06:35 UTC

Organisational Dysfunction of the Day Built for yesterday Context: The strategy keeps changing. The market shifted, then shifted again. A competitor emerged from an unexpected direction. AI is rewriting the economics of the industry faster than anyone predicted. The three-year plan written eighteen months ago is already obsolete. Leadership responds with more planning, tighter governance, and faster decision cycles at the top. The organisation is working harder than ever and adapting less than ever. People at the coalface can see what needs to change, but cannot get decisions made quickly enough. By the time something is approved, the situation has moved on. The organisation is not slow because people are lazy or misaligned. It is slow because it was designed for a world that no longer exists. OST explains: Emery and Trist identified four types of organisational environment, which they called causal textures. The third, disturbed reactive, is the competitive industrial world that DP1, the bureaucratic structure, was designed for, with large, similar organisations whose moves continually disturb one another. The fourth, turbulent fields, is categorically different: the environment itself is in motion, driven by forces in the field itself, like technological disruption, social change, and ecological pressure. In turbulent fields, the variety generated by the environment exceeds the capacity of any hierarchy to process and respond to it. DP1 is actively maladaptive here, because concentrating perception and decision-making at the top creates exactly the bottleneck that makes the organisation slow when speed matters most. DP2, the self-managing-group structure, distributes that capacity across the whole organisation, with every group actively scanning its environment, adapting, and feeding learning back into the system. We have been in turbulent fields for decades. AI has just turned up the intensity several orders of magnitude. To 11. #OpenSystemsTheory #SocioTechnical #OrgDesign #strategy

Replies (1)

@trondhjort@hachyderm.io 2026-05-06 08:29

Organisational Dysfunction of the Day Deploying AI into a broken system Context: The organisation is deploying AI: copilots, automated pipelines, intelligent triage, and decision support. The pilots look promising; the broader rollout is patchy, with some people embracing the tools and others routing around them. A few raise concerns about deskilling, about oversight, about what happens when the AI gets it wrong. Leadership frames this as change resistance. The change management programme is expanded. Meanwhile, the tools are also being used to monitor output, flag underperformance, and justify headcount decisions. The people who were concerned start to understand why they were concerned. OST explains: This pattern is not new. Sociotechnical systems research emerged in the 1950s precisely because organisations kept introducing new technology with enormous focus on technical capability and almost no attention to the social system. The result was that technology failed to deliver its potential, workers became alienated, and productivity gains were short-lived. The core insight applies directly to AI: you will not get the benefit by optimising the technical system alone. In DP1, the manager-led structure, people are defined by the task they perform. One person, one job, one replaceable part, so when the task can be automated, the person becomes redundant by the organisation's own logic. In DP2, the group owns the whole task, and each person brings judgment, context, and adaptability that no tool replicates; AI becomes an extension of the group's capability rather than a replacement of it. In a DP1 structure, AI is almost inevitably used as a tool of control, monitoring output, flagging underperformance, and surveilling the parts. We are in the middle of the fourth industrial revolution and making exactly the same mistake as the third. #OpenSystemsTheory #SocioTechnical #OrgDesign #agile

Open ##3528720