AI strategy is not the same thing as AI adoption. Adoption is a procurement decision, which tools to buy, which workflows to automate, which pilots to greenlight. Strategy is a harder question: how does an organization learn from what AI surfaces, integrate that learning into how it operates, and build the judgment infrastructure to make better decisions at machine speed?
Most organizations are answering the first question while ignoring the second. The result is what I call the Digestion Gap — a growing distance between the rate at which AI generates insight and the rate at which institutions can absorb, validate, and act on it.
The essays collected here are about that second question. They are not about which AI tools to use. They are about how organizations think, learn, and lead in an era when the cost of bad judgment is rising faster than the cost of computation.
We are in the Integration Era
The adoption wave is behind us. The competitive question is no longer whether to use AI, it’s whether your organization can integrate what AI produces into how it actually operates. That’s the Integration Era: the period when the gap between having AI and benefiting from it determines organizational fate.
The Digestion Gap
The central argument of this site. Most organizations don’t fail at AI adoption, they fail at integrating what AI surfaces into institutional knowledge, decisions, and culture. This series names that failure and traces its causes.
How We Process Information in the Age of AI
The essay that introduced the Digestion Gap framework. Organizations fail not because they resist change, but because they cannot metabolize it fast enough. I discuss four feedback loops: Cultural Noise, Human Shock Absorbers, Cognitive Debt, and Efficiency Drift — that turn technological acceleration into organizational fragility. Start here.
The Digestion Gap, Part II: Diagnosing the Modern Organization
The framework, expanded. Four forces are widening the gap between adoption speed and absorption capacity: Speed Inflation, Context Collapse, Cognitive Debt, and a Trust Deficit that compounds every failed initiative. The real danger, this essay argues, is not inefficiency, rather it’s disconnection. Organizations become technically sophisticated while becoming institutionally fragile.
The Digestion Gap Part III: Understanding the Dynamics of Organizational Change
The mechanics behind the gap. Part II named the forces widening it; Part III explains why those forces are so hard to interrupt. Middle managers become Human Shock Absorbers, absorbing friction between legacy systems and new tools rather than providing strategic leadership. Local automation wins produce Efficiency Drift, where productivity gains in one area simply relocate drag somewhere else. The cumulative result is Organizational Constipation: intake consistently outpacing the capacity to process, producing paralysis beneath a surface of apparent busyness.
The Digestion Gap Part IV: Designing for Absorption
The constructive turn. The first three parts diagnose the Digestion Gap; Part IV asks what it actually takes to close it. The answer centers on the Absorptive Loop: a four-stage organizational learning cycle of sensing, interpreting, integrating, and renewing that converts rapid change into lasting capability. Organizations that benefit from AI do not slow down intake. They build the infrastructure to process faster.
All AI strategy essays
The Smooth Surface of Certainty
AI lacks internal doubt. It generates confident answers to ambiguous questions, removing the friction that would normally signal to a leader that a problem requires interpretation rather than computation. This essay names what gets lost when AI smooths away uncertainty: not the answer, but the felt awareness that the question was hard. Required reading before any serious AI strategy conversation.
April 10, 2026The Great Inversion
AI collapses production costs. When it costs almost nothing to generate a polished deliverable, the deliverable can no longer serve as proof of the judgment behind it. This is the Great Inversion: expertise remains rare, but its traditional proof structure is gone. The essay maps what it looks like to make professional judgment newly legible in an economy where the artifact has lost its signal value.
April 17, 2026The Proof of Work Problem
For generations, the effort required to produce quality work served as evidence of the expertise behind it. That friction was load-bearing. AI removes it. This essay diagnoses what happens to professional credibility when the receipt economy disappears — and argues that the professionals best positioned are those whose expertise was never fully encodable in an output.
April 3, 2026Your engineers named this problem twenty years ago. Leadership hasn’t claimed it yet.
Software architects solved organizational misalignment decades ago and called it Domain-Driven Design. The principle: shared meaning across functions requires explicit, bounded language — not communication frameworks or values exercises. This essay imports that engineering discipline into the strategy conversation. Interpretation Debt compounds invisibly until decisions stall and escalation loops become the default.
March 27, 2026The Field That Saw This Coming
Knowledge Management spent thirty years arguing that organizational knowledge is a strategic asset. AI just proved it right. When generation becomes abundant, curation — knowing what to keep, how to sequence it, and when to retire it — becomes the critical constraint. This essay frames curation as infrastructure, not taste, and explains why AI systems built on uncurated knowledge bases produce fluent, confident, and wrong results.
March 2, 2026These Ideas Are Published Weekly
Madam I’m Adam covers AI strategy, organizational knowledge, and what it actually means to lead in the Integration Era. No noise. One essay a week.