Team Dynamics
Does AI force us to rethink how teams work?
When every member of a team has a copilot, roles, rituals, and work distribution begin to deform. How do we recompose them?
If every person on a team suddenly has access to an indefatigable, versatile, patient collaborator, what changes? This article maps the distortions observed in the field and offers a framework for recomposition.
The myth of individual gain
The dominant story presents AI as a multiplier of individual productivity. In the field, I see the opposite: the most durable gains happen at team level, when the team agrees to revisit its rituals - who drafts, who reviews, who decides, and when.
[Migration in progress - full article body to be brought across from the original Notion source.]
Four team roles to redraw
- The writer becomes the editor-in-chief of their own first drafts.
- The reviewer becomes the judge of accuracy, not of form.
- The manager becomes the designer of shared prompts.
- The subject-matter expert becomes the source of truth that validates what AI cannot know.
This recomposition is neither automatic nor gentle. It has to be worked through. That is precisely what an AI Activation Sprint is for.
Keep reading
AI Literacy • 2 Oct 2025 • EN
When should you start a new AI chat, and when should you continue?
The context window is a finite resource. Knowing when to reset and when to carry on is one of the highest-leverage skills in AI literacy.
AI Literacy • 18 Sept 2025 • EN
How to spot a hallucination before it spots you
Five practical tells that an AI answer is fabricated, written for non-technical readers who want to trust their tools without being burned by them.
AI Adoption • 12 Sept 2025 • EN
5 counter-intuitive lessons from AI training and coaching
Five lessons from supporting dozens of teams through AI activation: the opposite of what the market keeps promising.