Artifacts created for the email

Where is AI value for your team, across four pillars of AI work, and how much have you captured?

Twenty questions across five assessment areas. Find the gaps that could prevent the business result you want.

Director, Builder, Auditor. What ratio does your team need?

Chat, Agent, Employee. What good use looks like, and where your people need support.

Four questions that tell you what any AI agent is actually free to do: Reach, Tools, Memory and Guardrails, comparing Cowork and Claude Code side by side.

Five questions for turning AI capability into business results, and three owners. The board decides, the enablement capability equips, the business units execute.

How close AI gets to the right answer, what it costs to close the gap, and why the checking keeps shrinking. Check, Edit, Own.

Chat, Agent, Employee. What you're managing at each level.

Choose the business outcome, then work backwards to what must change.

What a prompt, a task and a day of AI actually cost in energy, carbon and water, and the subtraction that decides whether the work was worth it. Every number sourced.

Three and a half years of AI coverage across ten titles, from MIT Technology Review to McKinsey, charted. When each idea arrived, what faded, and where this email's arguments sit against the press.

Is AI making us dumb? A long line of moral panics about new tools.

What twenty readers see coming, the fears from one week's postbag, and a practitioner panel on AI that remembers, perceives and acts on its own.

The building blocks of AI capability and how they connect.

A planning guide for AI sessions at retreats and leadership conferences: six goals, what works, what doesn't, and six formats, from three and a half years of running them.

The agentic tools are here and most organisations have not switched them on. A roadmap for closing the gap, for the person whose job it is to close it.

What's human, what's AI, and where the two overlap.