perspectives/
35 pages · Updated June 14, 2026
Pages
- Thinking on collective sensemaking and deliberative intelligence.
- The things leaders actually say
- Five conditions that cannot be features
- The front end is now fast. The back end is the bottleneck.
- Why culture pushes back
- The structural problem with disciplinary silos
- Why similarity is the enemy of deliberative insight
- Where organisational time actually goes
- The problem with how organisations think together is getting worse — not better with AI — Hunome
- What it has changed
- What optimising for engagement produces
- Where knowledge goes when the meeting ends
- A few people worth meeting
- Why organisations are structurally pulled toward mediocrity
- The structural failure of democratic deliberation
- The structure of specialist failure
- Where human thinking goes that AI cannot follow
- The layer AI cannot generate
- The knowledge lifecycle
- The data was not the problem
- The context problem that nobody is solving
- What the analysts could not see
- What the research actually found
- What epistemic diversity is
- The alignment problem
- What invisible groupthink is
- The problem with data-driven intelligence
- What AI produces
- What we asked, and why we did not specify what we expected
- What the gap is made of
- Why knowledge expires
- What collaboration produces and what it does not
- What surveys destroy
- What collective intelligence tools do
- What AI is built to do