
The AI Friction Principle
What it is
The AI Friction Principle is the practice of re-engineering productive friction back into AI-assisted work, so the leader keeps building the schema they would otherwise quietly stop building. Three patterns name where the friction goes back. First-draft-yourself: write a rough version, identify the places of uncertainty, then bring AI to the pre-draft. Recall-before-check: write down what you think you remember of a fact, then ask AI to confirm or correct. Sticking-point-first: run the problem yourself to the wall, describe the wall, then hand over.
What it is
The AI Friction Principle is the practice of re-engineering productive friction back into AI-assisted work, so the leader keeps building the schema they would otherwise quietly stop building. Three patterns name where the friction goes back. First-draft-yourself: write a rough version, identify the places of uncertainty, then bring AI to the pre-draft. Recall-before-check: write down what you think you remember of a fact, then ask AI to confirm or correct. Sticking-point-first: run the problem yourself to the wall, describe the wall, then hand over.
Why it happens with AI
AI is good at removing extraneous load, the wasted effort of poor framing. Used carelessly, it is equally good at removing germane load, the effort that builds schema. Two failure modes follow. Silent decay: surface quality holds while the schema underneath erodes. Illusion of competence: reading a fluent answer feels, from the inside, identical to having thought it; the gap shows up only when a problem arrives that AI cannot help with.
What working on it does, impact and benefits
Reinserting friction keeps the leader building schema week by week, rather than ratifying answers they did not construct. The benefit is not in-session efficiency. The pre-draft cycle is slower in the moment. The benefit is the schema accreted over months, which lets the leader tell, six months later, when an AI output is wrong, where the framing is off, or what the tool has not seen.
Canonical framework: virenlall.com/ai-friction-principle, the full ~600-word treatment of first-draft-yourself, recall-before-check, and sticking-point-first, plus the Friction Audit and the three embedded habits.
“AI removes the friction that was, all along, the mechanism by which leaders built judgement; the discipline is to put it back.” — Viren Lall, Managing Director, ChangeSchool LDN (2026).