Most companies are spending millions on AI and can't point to a single changed decision. I've seen why — from inside the infrastructure, not a PowerPoint deck. I write about it every week.
I believe most AI transformation initiatives are failing not because the technology is wrong, but because the organisations around them haven't changed.
I believe the most important AI conversation isn't happening in the model layer — it's happening in the infrastructure layer, the organisational design layer, and the decision-making layer that executives are too busy to look at.
I believe Europe is building AI differently — with constraints that the US commentariat dismisses as obstacles, and that are quietly becoming advantages.
I believe the perspective that matters most comes from operators. People who've shipped real systems, managed real costs, and made real decisions when things broke at 3am. That's the perspective I bring.
Experts become known for a handful of strongly-held positions, not a broad encyclopaedia. These are mine.
First-person. Specific. From real situations. If this resonates, the newsletter is 300 words of this every Monday.
Get the newsletterI speak from an operator's perspective — which means I tell your leadership team what they need to hear, not what sounds good in a conference hall. Small number of engagements per quarter.
Planning a leadership offsite, executive programme, or board briefing? Reach out directly. I respond personally.
"Marcus said in one post what we'd been trying to articulate in three board meetings. His infrastructure framing changed how we're thinking about our entire AI roadmap."
"The DT comparison piece is the most useful thing I've read on AI transformation this year. Sent it to our entire leadership team before our strategy offsite."
"Finally someone who talks about what actually breaks in production, not just the demo layer. Marcus writes like he's been in the room — because he has."
Three layers. Most roadmaps get the ratios backwards — and that's why pilots die in production. This is the foundational framework.
70% of DT initiatives failed. AI transformation is already making the same mistakes. Here's the pattern and how to break it.
A central AI function feels like progress. In most companies it's building a bottleneck. Here's what winning companies do instead.