Thirty years at the intersection of organizational thinking and knowledge work. The pattern that emerged: every institution we have was built to go deep within a domain. Nobody designed the spaces between them. That gap is where the hard problems live.
Deep specialization produced the modern world. Antibiotics. Semiconductors. The green revolution. The argument here is not against specialization. It is against the assumption that specialization is sufficient.
James C. Scott traced the pattern back centuries. The modern state needed to make populations, resources, and knowledge legible and controllable from above. Institutions built around that need became very good at going deep within a domain. They were never designed to connect what they produced across domains.
That gap between what is known inside a discipline and what is understood across them is where the genuinely hard problems live. Power accrues to those who own a domain. Cross-domain thinking threatens that ownership. Human nature is as much a part of this problem as institutional design.
AI changes everything in your organization's environment. It changes nothing about how human beings actually think. The biology hasn't moved.
AI may be the first tool capable of holding enough complexity to genuinely connect across domains. Whether it does depends entirely on what we ask it to do. Right now every incentive points toward asking it to go deeper into the same silos faster.
The question is not whether AI changes everything. It does. The question is whether it changes the thing that most needs changing, or makes that thing harder to see.
That question does not have a settled answer yet. This work is an attempt to hold it seriously.
Reimagining Collaboration and Competition in the Age of Infinity
Every major technological transition produces the same pattern. A small number of organizations use the disruption as an invitation to reimagine how they work. The majority use it as an opportunity to do the same things faster. We remember the ones that reimagined.
This book provides the design argument for what knowledge work looks like when you build it around how knowledge actually behaves rather than how the industrial model assumed it would.
Proposal Stage · 2026The full argument at full altitude. Cross-disciplinary, rigorous, personal. For readers who feel the gap between what they are being told and what they are actually observing.
The MSP Contrarian mspcontrarian.com · BeehiivHonest strategic analysis of the managed services industry, free from vendor-sponsored framing. The MSP sector as a near-perfect case study of what happens when you paste AI on top of a broken knowledge architecture.