Manifesto

My thesis

AI doesn't fail. Organizations do.

This is not a provocation. It is a personal observation accumulated over a decade of watching transformation initiatives collapse — not because the technology failed, but because the organizations were structurally incapable of absorbing it.

What I observe

Every year, billions are invested in AI. Every year, adoption rates disappoint. Every year, the same diagnoses point to the same symptoms: lack of talent, resistance to change, data quality.

These diagnoses are correct. But they mistake symptoms for causes.

The real problem

Organizations fail at transformation because they have not changed their operating model. They've added AI tools on top of processes that were designed for a different era — slower, more linear, more tolerant of friction.

The result: a new means of production grafted onto an old organizational architecture. The system rejects the graft.

What I document

I do not write about technology. I write about the organizational mechanics that determine whether technology creates value or generates waste.

My subjects: decision structures, governance architectures, middle management as transformation operator, the gap between strategic intent and operational reality.

What this magazine is not

A technology newsletter celebrating every new model release or benchmark.

A consulting firm selling a methodology with a proprietary framework to license.

A neutral observer. I have a thesis, and I defend it.

My commitment

Each piece I publish must answer: what does this reveal about how organizations actually function? What can a decision-maker do differently on Monday morning?

If I can't answer those questions, I don't publish.