
The Three Speeds of AI Transformation
Part 1 of 2 in the Transformation Stack series
Exploring AI innovation, sustainability, and digital transformation in business

Part 1 of 2 in the Transformation Stack series

Each phase changed what organisations needed to do, not just what the technology could do. Most leadership teams are one phase behind.

This month three things caught my attention: the “cyborg workplace” argument, the contrasting Twitter essay warning that nothing done on a screen...

What Deloitte’s 2026 Enterprise AI Report Tells Leaders

In many organisations, the conversation around AI capability begins with skills.

AI capabilities are advancing faster than most organisations can absorb.

A forward-looking reflection on what we’ll likely notice when the noise fades

AI advantage is not discovered through isolated use cases, it is built through a system.

Over the past year, something subtle changed in how organisations use AI, not so much in the tools themselves, but in how they became part of everyday work. By...

Over the past year, I’ve spent a lot of time inside organizations navigating the practical realities of AI adoption.

TL;DR Most companies in an ecosystem aren’t orchestrators, and don’t need to be.

TL;DR Innovation is shifting from ownership to orchestration: value now flows through connections, not control;

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Why designing what your AI sees matters more than clever prompts

Three years into the age of generative AI, the picture is puzzling.

TL;DR AI success hinges on more than models and data; organizations need a balanced scorecard to drive real value.

TL;DR The fifth and final stage of Play to Win asks: What management systems are required?

TL;DR The fourth stage of Play to Win - What capabilities must be in place? - is where strategy turns into execution.

TL;DR Identifying where to play is not enough.