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LinkedIn Articles

All articles by Damien Healy on AI strategy, AI-native workflows, and practical transformation.

The Most Valuable AI Skill Is Agility

The tools and workflows that work today won't work in six months. The people who compound fastest are the ones who stay close to the frontier and adapt the moment something better arrives.

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One AI Can't Do Everything. Use the Right One for the Job.

The major AI models have converged in raw capability but diverged in how they think. Developing your own map of which model to use for what is the practical skill that drives real value.

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Reduce the Friction Between AI and Your Output

The biggest speed gains from AI evaporate in the last mile — when work has to cross from the AI world into formatted slides, polished reports, and production code.

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Your AI Has Amnesia. Give It Memory.

The biggest mistake people make with AI is starting every conversation cold. Context is what turns a generic tool into a genuine collaborator.

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1x and 10x: The Two Worlds of AI Productivity

Every piece of information lives in either the human world or the AI world, and knowing the boundary between them is the meta-skill that separates 1x from 10x productivity.

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Nobody Is Talking About the AI Exponential

The weekly AI discourse focuses on individual model releases while missing the exponential curve underneath, and human cognition is wired to underestimate it.

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AI-First, Not AI-Assisted

Starting with AI instead of bolting it on at the end changes everything about what you can accomplish and how fast you can move.

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It's Time to Watch the Canary

Software engineering is the first major knowledge profession to go through AI transformation at scale. Their experience is a preview of what's coming for the rest of us.

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Your Move, Human

The window for building AI fluency is open right now. It starts with a thousand hours, and the compounding favours those who begin now.

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The Acceleration is Real

The gap between dabbling with AI and being AI-native is enormous and growing. Here's what the view looks like from the other side.

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