https://makertube.net/videos/watch/ee1351a9-62af-4008-8725-f4b0369cd5db The productivity numbers look great. The team is shipping faster than ever. And something is quietly breaking. I've been researching what I call the AI Cohesion Paradox — the pattern where teams that go heaviest on AI start cooperating less, not more. Not just across departments. Inside the team itself. The data is now hard to ignore: 50% of employees in a 47-country KPMG study say they use AI instead of collaborating with colleagues. 65% default to a chatbot before asking a human. 42% trust a colleague less after receiving obvious AI-generated output. We replaced the act of asking with the act of querying. And the act of asking was doing invisible work — building weak ties, moving knowledge across silos, keeping people in each other's mental models. When you stop asking Dave, Dave's expertise stops flowing. And the next time you need to integrate with Dave's domain, you have no map. I see this most clearly in engineering teams. Different engineers, different agents, different prompts, different mental frameworks — even when following the same spec. The agents rewrite each other's codebases. Integration breaks. And we respond by over-specifying boundaries and decoupling features — which generates more code and makes the architecture thinner, not stronger. The old railway paradox: two crews building from opposite ends of the continent, rails that don't match when they meet in the middle. Integration requires communication. Communication requires a social substrate. And that substrate is quietly eroding. The deeper problem: AI doesn't judge. It doesn't push back. It doesn't tell you your design is wrong. For introverted engineers especially, that's seductive. But teams need friction. We're losing our internal critics — and with them, the capacity for real peer review. Deloitte calls this "cultural debt." MIT calls the cognitive side "cognitive debt." I think of it as the price of building islands. The solution isn't to use less AI. It's to design the social architecture explicitly — because it used to be automatic, and now it isn't. That means: shared context infrastructure before agents are deployed. Protected human-to-human rituals. Integration protocols designed for AI-generated code. And honest disclosure norms — because 61% of people hiding their AI use is a trust crisis, not a compliance issue. We have thousands of years of experience failing at human cooperation. We have almost none at agent-to-agent coordination. We are designing the social architecture of the future while flying. The organizations that make this explicit now will have a structural advantage over those that discover it as a crisis. Full article with research and frameworks linked in the first comment. #AILeadership #FutureOfWork #OrganizationalDesign #AgenticAI #SocialArchitecture #CulturalDebt #TeamDynamics #EngineeringCulture #AIStrategy #Leadership Thu, 28 May 2026 19:10:20 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://friprogramvarusyndikatet.tv https://friprogramvarusyndikatet.tv/lazy-static/avatars/24a0db3b-d650-4907-a914-39976865aace.png https://makertube.net/videos/watch/ee1351a9-62af-4008-8725-f4b0369cd5db All rights reserved, unless otherwise specified in the terms specified at https://friprogramvarusyndikatet.tv/about and potential licenses granted by each content's rightholder.