Where capacities are constituted rather than located
In AI-mediated systems, capacities such as coherent decisions and sustained coordination often belong to neither the human side nor the AI side alone. They are constituted in the coupling between the two, exist for as long as the coupling holds, and degrade when it does not. The essay names this position and develops a working vocabulary for it.
Research Notes is a strand of published work concerned with patterns, weak signal analysis, framework and vocabulary development, and provisional commentary on the wider landscape of technological change. The notes are analytical rather than predictive. The section accommodates short structured pieces, longer essays, and framework documents. The unifying feature is form, not topic. Salary benchmarks, skill rankings, and job role data are produced elsewhere on this site through the demand-side data work. The notes do different work.
The notes are written for strategists, executives, managers, architects, academics, researchers, and journalists. For a fuller account of the section's stance, methodology, and editorial principles, see Aims and Scope.
Zones and trajectories on the autonomy plane
The Cohesion Spectrum maps how socio-technical systems manage the tension between autonomy and cohesion, plotting coordination regimes on two axes of participatory and consequential autonomy. It identifies seven zones from Oppressive to Interoperable, and the trajectories systems follow under scaling, crisis, and network effects.
Why existing vocabulary fails at the human-AI coordination boundary
In human-AI coordination, both parties are opaque to each other, in structurally different ways. Vocabulary developed for human-only systems describes the human side adequately and renders the rest structurally invisible. The essay names this asymmetry and the conditions under which an adequate diagnostic could form.
Protocols organise coordination across technical and social systems, from formal standards to informal norms. The Protocol Field maps them on two experiential axes of Adaptability and Opacity against a constant gravity of protocol debt that pulls established systems toward brittleness. The framework diagnoses where coordination is becoming brittle, opaque, or both, before the consequences become unrecoverable. Human-AI coordination is where it makes these dynamics structurally legible.
In networks of AI agents, opaque and emergent patterns of coordination arise that operate at scales beyond human comprehension. These are strange protocols. The essay places them alongside the strong and weak protocols that have historically organised human coordination, and traces what their emergence asks of human acumen and agency.
