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AI's Environmental Cost: What Boards Must Ask and Do
Most organisations now have an AI strategy. Very few have asked what it is doing to the planet.
That is not an abstract concern. It is a capital allocation question with a measurable environmental consequence attached to it. Boards are declining to ask it. The omission will not age well.

David Turner
4 days ago4 min read


Logocentrism and AI content authenticity: the real panic is about presence
For decades the businesses of expertise, craftsmanship and luxury have run on a simple exchange: you paid for authority because authority was grounded in the living presence of a specific person. A marketer. A strategist. A lawyer. Someone who could sit across from you, who had walked through the problem themselves, whose judgement was embodied in a living mind that you could hire and pay. Presence became the marker of truth. Not the accuracy of what they said, but the fact t

David Turner
4 days ago4 min read


AI Adoption Risk: It's Not All Recoverable
Just about every senior leader has already decided to adopt AI. The all understand the risks of not doing, and a large proportion of them understand the risks of doing so. The question some aren't asking is what happens when one of the risks becomes real, and whether they can recover from it.

David Turner
4 days ago5 min read


Philosophy and Strategic Thinking: Re-framing Organisations
Developing concepts with Claude means understanding how Gen AI works and working with it's limitations. During an exploratory workflow today I ask it several questions as starting points to develop the nucleus of a concept. It came back with systems logic: structure, audience, constraints, examples. I told it the thinking would emerge from exploration instead. The AI pushed back. We went sideways anyway.

David Turner
4 days ago5 min read


Ruskin, Hockney, and the Leadership Lesson in AI Adoption
Call this the rising floor. Every useful machine absorbs the layer of work it can do better than people. The human contribution does not vanish. It moves upward, into judgement, selection, taste, and ethics, questions a machine cannot answer for you because they are not technical questions at all. That is where AI is heading now, into code, legal drafting, HR policy, marketing copy, the layer of execution that used to define a competent professional.

David Turner
4 days ago5 min read
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