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Artificial Intelligence

Ownership, alignment, and the work that remains after the model arrives.

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Artificial Intelligence

Vol. 03 Why AI projects failVol. 05 The optimisation trapVol. 07 AI strategy without operational ownership is theatreVol. 26 The Calendar Catches UpVol. 27 The Last InterfaceVol. 32 The Unappointed OperatorVol. 45 Who owns the AI system after the pilot?Vol. 48 Access Is Not AuthorityVol. 49 The Decision LayerVol. 55 Rediscovery Is Not RegressionVol. 58 The Fear PremiumVol. 61 The Obedient MachineVol. 62 The Work Between the PromptsVol. 73 We Gave AI the KeysVol. 74 What You Get from AIVol. 76 The Intelligence We Keep InventingVol. 78 AI in Accounting: How to Tell Whether It Pays OffVol. 80 Building an AI-First Organisation
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Artificial Intelligence

Ownership, alignment, and the work that remains after the model arrives.

Why AI projects fail

Usually not because the model was weak — but because ownership was.

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.

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.

Access Is Not Authority

A badge opens a door. Whether an unwelcome finding can hold that door open is a different question.

The Decision Layer

Jev, cheap judgement, and the choices we turn into code

Rediscovery Is Not Regression

Jev, “just a classifier,” and what happens when AI starts becoming a system