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.