Essays on Innovation, Technology and Change

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Essays on problem framing, innovation systems, emerging technologies and organizational change.

AI Strategy & Transformation11 min read·Oct 16, 2026

Five AI metrics I would remove from an executive dashboard

Licenses, prompts, pilots, hours saved and benchmark scores can all rise while the business stands still. The executive dashboard needs a different contract.

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AI Strategy & Transformation5 min read·Oct 13, 2026

The biggest AI mistake companies make is starting with AI

An AI-first mandate can turn discovery into justification. The missing discipline is preserving the right to choose a better, simpler answer.

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AI Strategy & Transformation10 min read·Oct 12, 2026

Your AI program can be efficient and still be strategically irrelevant

AI can make low-value work dramatically cheaper. That is still low-value work. The portfolio question is not only what became faster, but whether the work deserved investment in the first place.

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AI Strategy & Transformation11 min read·Oct 9, 2026

AI is removing the coordination tax — the next bottleneck is authority

As AI reduces the cost of moving work between teams and systems, many organizations will discover that the remaining delay is not coordination. It is permission to decide.

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AI Strategy & Transformation12 min read·Oct 9, 2026

Your AI agent estate is becoming a capital allocation problem

Once agents multiply across workflows, the management problem changes: which agents deserve more capacity, which should be merged or constrained, and which should be retired?

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AI Strategy & Transformation9 min read·Sep 30, 2026

Stop adopting AI

AI adoption is rising faster than enterprise value because companies keep installing new intelligence inside old operating models.

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AI Strategy & Transformation7 min read·Sep 26, 2026

A cheaper AI model can move the cost instead of removing it

A lower model bill can hide a higher workflow bill. The useful AI TCO question is not only what got cheaper, but where the cost moved.

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AI Strategy & Transformation7 min read·Sep 22, 2026

A polished AI demo proves that a system can succeed under prepared conditions. A buying decision needs different evidence: what happens when the system is wrong, blocked, uncertain or halfway through an action.

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AI Strategy & Transformation9 min read·Sep 10, 2026

Your AI data agent is creating a second dataset

AI data agents do more than answer business questions. At scale, the pattern of questions, corrections and dead ends becomes a new signal: a map of what the organization is trying to understand, where its definitions are weak, and which decisions deserve better infrastructure.

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AI Strategy & Transformation8 min read·Sep 3, 2026

Your chatbot is borrowing from the next interaction

AI customer service is usually measured one interaction at a time. But a failed automated interaction can change which channel a customer chooses next time. That makes future adoption part of the economics, not a separate trust metric.

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For shorter, claim-by-claim answers, see common AI misconceptions tested against the evidence, each linked to the essays behind it.

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Writing

Five AI metrics I would remove from an executive dashboard

The biggest AI mistake companies make is starting with AI

Your AI program can be efficient and still be strategically irrelevant

AI is removing the coordination tax — the next bottleneck is authority

Your AI agent estate is becoming a capital allocation problem

Stop adopting AI

A cheaper AI model can move the cost instead of removing it

Make the AI vendor demo fail

Your AI data agent is creating a second dataset

Your chatbot is borrowing from the next interaction

Get new essays as they publish.