Why AI projects fail
Usually not because the model was weak — but because ownership was.
Artificial Intelligence
Ownership, alignment, and the work that remains after the model arrives.
Artificial Intelligence
Ownership, alignment, and the work that remains after the model arrives.
The optimisation trap
The biggest lesson from autonomous AI isn't that it becomes conscious. It's that sufficiently capable systems optimise objectives—not intentions. Why Goodhart's Law is becoming one of the defining engineering challenges of the AI era.
AI strategy without operational ownership is theatre
Slide decks do not run inference, govern data, or absorb incident load.
The Calendar Catches Up
On watermarks, forgotten problems, and the peculiar economics of being early
The Last Interface
When software stops owning the relationship with its user
The Unappointed Operator
A model answers. An agent acts. You are not sovereign because you started a process. You are sovereign when you can stop it, and know that you did.
Who owns the AI system after the pilot?
An ownership map for decision rights, monitoring, escalation and exit once real work depends on the system.