Perspectives
A library for questions that deserve more than a quick answer.
What changes when more people can explore an idea, examine evidence, or make something they could not make before? These perspectives follow that question across human capability, organizations, and everyday life. Each new piece makes its evidence and uncertainties visible.
Curiosity Manifesto · October 2026
Curiosity Creates the Question
How AI Turns Curiosity Into Realization
Follow a question
Human Potential
What can people do with AI, and what remains when the assistance is removed?
Creativity
What happens when more ideas become cheap enough to explore?
AI & Society
Who gains capability, who carries risk, and which choices shape the outcome?
Leadership
How do judgment, accountability, and organizational learning change?
Automotive
Can intelligence connect fragmented vehicle systems to a person's actual intent?
Education
When does assistance support learning, and when does it bypass it?
Therapy / Human Development
Where can reflective tools help, and where must professional care set the boundary?
Agents
What has to be true before an AI system should perform work on someone's behalf?
Personal AI
How should context, memory, permission, and personalization work together?
Future of Work
Which capabilities become more accessible, and what new constraints emerge?
From the archive
Earlier work first published through TaeCor is preserved here in its original form. The language reflects its original publication context.
05 — PERSPECTIVE
Creativity, Curiosity, and the Discipline of Not Knowing
CAMP KOTOK · AUGUST 2026
Camp Kotok, AI, and the Questions That Matter
Reflections from an invitation-only gathering where markets, economics, technology and artificial intelligence collided—and produced better questions.
AI IMPLEMENTATION · EXECUTIVE EDUCATION
AI Playbook
A practical, business-first guide for leaders navigating AI strategy, organizational readiness, delivery models, governance, responsible adoption, and implementation.
Wang, Shah, Schlesinger & Saint Fleur
Research in development
Beyond Productivity: What Happens When AI Expands Human Potential?
A research-first inquiry into the difference between producing more with AI, becoming more capable, and realizing a useful outcome. It asks where the evidence is strong, where it conflicts, and what should be tested next.
Research brief in development; the flagship essay has not been published.
An argument should be open to challenge.
Have a study, a counterexample, or experience that changes one of these ideas? Send the source and the question it raises.