The short version
A diagnostic quiz that places your approach to AI against four distinct philosophies, from full delegation to hard skepticism. Where you land shapes what you buy, what you automate, and where rollouts stall. Useful as a team exercise before an implementation, because mismatched philosophies are a common failure point.
- Teams rarely share one AI philosophy. Surfacing the differences before a rollout is cheaper than discovering them during one.
- Your philosophy predicts your failure mode: delegators over-automate, skeptics under-invest.
- There is no correct posture, only an explicit one.
Three books. Three lenses. One question.
What's Your AI Philosophy?
Three influential thinkers. Three different frameworks for understanding artificial intelligence. Swipe through 8 provocations to discover which lens matches yours.
~2 min · 8 questions
The Archetypes
The Thinkers
Ethan Mollick
Wharton Professor
AI is a collaborator, not a replacement. The future belongs to those who learn to work alongside it.
Co-Intelligence: Living and Working with AI
Mustafa Suleyman
Microsoft AI CEO
Powerful technologies demand powerful containment. The challenge isn’t building AI—it’s governing it.
The Coming Wave: AI, Power, and Our Future
Yuval Noah Harari
Historian
AI is the next great information revolution—and like all before it, it will reshape power, truth, and humanity itself.
Nexus: A Brief History of Information Networks from the Stone Age to AI
Related reading
- Interactive
Cognitive Surrender
An interactive experiment on what happens when you stop thinking for yourself. Based on Shaw & Nave's Tri-System Theory.
- Point of View
The One Thing AI Training Programs Get Wrong
Most AI training teaches tools. The gap is in mapping AI to actual workflows.
- Point of View
Microsoft Copilot Has a Pick Me Problem
Why the race to embed AI everywhere is producing tools that optimize for adoption metrics instead of outcomes.
By Thomas Rogers ·
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