Thinking
Essays and frameworks on building AI-native companies — for CEOs and the leaders making the calls.
Your Agents Are Performing
I audited my own AI company three times in eleven days. It failed twice. Here is the disease I found, the name I gave it, and the cure that actually worked.
CEOs Are Pouring Money Into AI and Most of It Is Disappearing Into the Wrong Foundation
The Boston Consulting Group recently published research confirming what most of us in the AI-native space already feel: CEO investment in AI is surging, and ...
From Engineer to Executive Advisor: What I Learned Rebuilding
Scott Fielder on the move from building AI systems to advising the CEOs who deploy them — and why the hard part was never the technology.
Trust Is the Scarce Asset in AI Adoption
Capability is no longer the bottleneck in AI adoption — trust is. How to engineer trust instead of demanding it, and why it's the real competitive moat.
The Death of SaaS Is Really the Birth of Intelligent Operating Systems
SaaS isn't dying overnight, but its center of gravity is moving from features to outcomes — from tools you operate to intelligent operating systems that do the work.
Why Software Companies Are Becoming Agentic Organizations
As software shifts from static apps to fleets of agents, companies are becoming part human, part agent. What that means for org design, roles, and accountability.
The Five Levels of an AI-Native Organization
A maturity model for whole organizations — from AI as a side tool to a genuinely AI-native, adaptive company. Find your real rung, and what it takes to climb.
The CEO's AI Decision Map
Most CEOs are drowning in AI options because they haven't separated the decisions that are theirs from the ones they can delegate. A practical decision map for leaders.
Why Most AI Projects Fail After the Demo
AI pilots dazzle, then die in production. The failure is organizational, not technical — here's the operating-model framework that decides whether an AI initiative survives contact with the business.