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 Transformation Is Not an Automation Project. It Is an Organizational Redesign.
Most AI transformation conversations begin with a practical question: Where can we deploy an agent? I think that may be too narrow a place to start. AI will not simply change how organizations perform existing work. It may change what work exists, how decisions are made, what remains distinctly human and even what the organization becomes. In this article, I propose looking at AI transformation through three connected lenses: Process mining: What do we actually do—and which activities should be automated, redesigned or eliminated? Culture mining: Who are we—and how do we adopt AI without automating away the qualities that make the organization or brand distinctive? Cognitive mining: How do we think—and where do human judgment, empathy, accountability and trust remain genuinely necessary?
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.
I Haven't Written Code in 30 Years. Last Week I Built a Software Tool. Here's What That Tells Us About Program Management.
There's a moment in every program manager's career where you realize the job has quietly changed around you. I had one of those moments recently — and it came with an unexpected twist.