Working ideas about how businesses should operate next.
I write when an operating question keeps following me around. The notes combine external research, what I have seen inside businesses, and my own interpretation of what leaders may need to do differently.
AI is making execution cheaper. What becomes more valuable?
AI adoption is moving faster than operating-model redesign. I think that shifts advantage toward judgment, allocation, capability design and organizational learning.
The dangerous middle of transformation.
The old model still has revenue, customers and evidence. The new model needs resources before its economics are fully proven. That middle is where strategy becomes capital allocation.
Earlier notes that build the broader argument.
These pieces are meant to make a specific executive question more useful—not to manufacture a weekly opinion.
The future executive needs to know how things are built.
AI makes polished output easier to produce. That increases the value of leaders who can inspect the assumptions, workflow and economics underneath it.
When more marketing stops being the answer.
Before buying more demand, identify the constraint. Growth can fail in trust, conversion, capacity, economics, retention or product—not just acquisition.
If we built the company from zero today, would we create the same departments?
Functional expertise still matters. But changing coordination costs should make leaders reconsider some of the boundaries and handoffs inherited from an earlier operating environment.
Research informs the argument. It does not get to make the argument for me.
I separate external evidence, operating evidence and inference. When I am making a prediction or extending beyond what the research proves, I try to say so explicitly.
External evidence
Academic research, government and OECD data, primary company information and credible institutional research.
Operating evidence
What changed inside businesses I have built, operated or transformed—and what the economics actually looked like.
Inference
What I think follows from the first two. This is where the point of view lives, and where I am most willing to be wrong.
What I’m still working on.
I do not want the site to imply certainty where there is none. These are active questions, not finished positions.
The P&L is where strategy becomes real.
What changes when strategy is treated as resource allocation rather than aspiration?
The company that learns faster may win.
If production becomes abundant, does feedback-loop quality become a more durable advantage?
When everyone can create more, what becomes scarce?
Attention is limited. I suspect credibility and trusted judgment become more valuable still.