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Ideas on AI, leadership, the future of work, and the human dimensions of technological change.
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What does an enterprise AI governance policy actually look like?
An enterprise AI governance policy is one short, readable document covering seven parts: acceptable use, approved tools and a route to approve new ones, data handling, human-in-the-loop accountability, risk tiers, monitoring and review cadence, and named ownership.
What does an actual AI strategy document contain?
An AI strategy document is a short, defensible argument about how AI changes the way your business makes money, followed by the six choices that argument forces: an economic thesis, a value map, an operating model, a workflow-redesign plan, a capability plan, and a measurement framework tied to the
We ran an AI pilot and it went nowhere. What did we get wrong?
You ran the pilot, the demo got applause, and six months on there is nothing on the P&L. You are not an outlier; MIT found 95% of AI pilots land the same way. Here is why, and what the 5% who win do differently.
What If Your Job Is to Design the Loop, Not Run It?
You are using AI every day and still drowning in turns. The shift that gives time back is designing the agentic loop, not running each prompt by hand.
If AI does the junior work, where do my senior people come from?
The automation that flatters this year's numbers is quietly defunding the engine that produces senior people. Here is how to keep the efficiency and still grow the bench you will need in five years.
AI was meant to free my managers. Why is it doubling their workload?
AI was meant to free your managers. Instead it moved the bottleneck onto them: everyone produces faster, and one human still has to read, check and approve it all. Here is why the megamanager problem is a design failure, and how to redesign the management layer instead of adding more reports.
AI catch-up is a loser's game
If you're reacting to every new AI release, you're playing AI catch-up — and catch-up is a loser's game. The way out isn't to sprint harder; it's to change the race you're running.
What is coherence, and why it governs your AI decisions
Coherence is the alignment between your thinking mind and your settled body: the clear state from which you decide well. It governs your AI decisions because every AI call is a judgement call, and judgement runs on the state of the person making it.
Has AI quietly distorted how you see your own business?
"AI psychosis" in leaders is not madness. It is a coherence failure: the model's confident fluency seduces you into board-level claims your numbers cannot yet support. Here is how to reality-test the claim before it reaches the board, and protect your credibility.
Why is AI the thing keeping you up at night?
It is 2am again and I am running the AI decision around in my head for the third night this week. The loop is not waiting on a fact. AI is now the leading risk Fortune 500 CEOs name for their industry, and the worry lands in the body: 41% of executives report sleep difficulty. The way out is a clear
Why is the C-suite excited about AI while the team is quietly terrified?
You leave the AI town hall energised, and you can see almost nobody else does. That split is the leadership-employee AI anxiety gap, and it is wider than most leaders think: 76% of executives assume their people are enthusiastic, while only 31% actually are. The rollout is fine. The unaddressed fear
Are you making AI decisions from fear or from clarity?
The fear of being left behind is the most expensive emotion in the AI budget. Here is how to tell whether your spend is buying reassurance or buying an outcome, and how to make the call from clarity instead.