Mike Dixon
Most organisations are asking the wrong question about AI.
The question is not how to build faster. It is whether what you are building is worth building at all.
I'm Mike Dixon. I've spent 25 years working across product, engineering, and technology leadership. I've built teams, shipped products, made the mistakes, and learned which ones were avoidable.
My view is straightforward. AI is not a cost-cutting tool. It is a capability multiplier, but only for the people and organisations that develop the judgment to use it well. That judgment does not come from better prompts. It comes from clearer thinking.
Outcome Path is where I work through these ideas. Expect observations from the front line, practical thinking on how teams and organisations can get more from AI without losing what makes them effective, and the occasional uncomfortable question about whether we are solving the right problem.
If that sounds useful, follow along on LinkedIn.
Recent writing
- The Canvas Is Not a Feature
I switched from ChatGPT to Claude and haven't looked back. Except for one thing, and it's worth being precise about what that thing actually is.
- Late to Claude Code. Or just in time.
Feeling late to a new tool is rarely the right frame. What transfers matters more than what's new.
- Democratising AI Is the Easy Part
Giving everyone access to AI tools solves the wrong problem if the knowledge those tools need stays locked in people's heads.
- AI Gives You the Ability to Run Ten Things at Once. That's Not Always a Good Idea.
AI expands what you can run in parallel, but cognitive load doesn't scale with capability.
- The Bar Moves
The real risk of AI in the workplace isn't replacement — it's that the bar for what one person delivers quietly shifts upward.