Research
Enduring questions
The question about how we design intelligent systems is by its nature multi-faceted and multi-disciplinary, but it is grounded in two things: my enduring positivity about humanity, and an endless curiosity about how we humans continue to create, build, and organize the world around us, including, most recently, how we choose to respond to and integrate artificial intelligence into our lives.
Explore research papers, articles and essays.
State of AI 2026
State of AI 2026 examines the point at which artificial intelligence stops being primarily a technology story and becomes an organizational and economic one. The paper looks beyond model capability to the harder questions now facing companies: where AI is creating real value, where investment is outrunning returns, how agents and AI-native businesses are reshaping markets, and why successful AI transformation will depend as much on operating models, culture, and human judgment as on the technology itself.
AI Is Teaching Us That Consciousness Is About Structure
One of the strangest things happening in the AI era is that organizations are rediscovering the importance of structure. We humans may eventually realize that intelligence is not just about meaning. It is about how systems organize prediction, attention, and structure to create our world.
The State of Agentic AI in Program Management: What the Platforms Have Already Built (and What You Should Build Yourself)
Every major work-management platform now ships AI agents as a headline feature. For anyone running a PMO, the question has quietly shifted from "should we adopt AI?" to "what do we buy, what do we build, and where will this actually fail?" Here's where the market stands in mid-2026 — and a practical way to think about it.