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You know the moment. Three weeks ago you had a genuinely useful conversation with your AI tool. It helped you untangle a proposal, sharpen a board paper, or finally find the words for something you’d been circling for days. Today you need it again. So you scroll. And scroll. You search for a word you

Six months on from my original piece, the data is harder, and one part of the argument was incomplete. In March, I wrote a piece about how AI is destroying the leadership pipeline. I began it by describing my first day as a graduate at KPMG in 1988, when someone handed me a 300-page stock

The most consequential decision in your AI rollout will not be made by your CIO. It will be made by whoever writes the words in the announcement. I have thought about that a great deal since April, when I took a call from the Chief People Officer of a global engineering firm. She was in

I’ll start with a confession. I use Fable, Claude’s biggest model, all the time, and more often than I’d like to admit I forget to switch it back. Which means the next thing I ask, something as trivial as where the nearest pizza place is, gets the same heavyweight thinking I’d want for a board

About forty minutes into a keynote a few months ago, a woman near the back put her hand up and asked me the question I get in almost every room. “We’ve done the training,” she said. “We bought the seats. Why is nobody using it?” So I asked her what the training had looked like.

Six months on, the data is harder and one part of the argument was incomplete. In March I wrote about my first day as a graduate at KPMG, when someone handed me a 300-page inventory register and told me to add it up. On a 10-key, with a tape. Every page twice, both tapes stapled

Ask a twenty-four-year-old which jobs AI is going to take, and you will probably get an answer you dismiss. You should not dismiss it. They are getting it right, and payroll data now proves it. In June, the SimplyWise Trades and Technology Index surveyed 1,140 Americans aged 18 to 29 and asked them to rank

EY seems to think so. A few years ago I was asked to speak at a Rewards and Remuneration conference in New Zealand. They wanted me to talk about how rewards and remuneration could increase employee engagement. I said, “Sorry, I’m probably not the right person for your conference.” There was a long silence on

Here’s a number that should be on every leadership team’s radar, and mostly isn’t. Low AI literacy is costing Australia $18.9 billion in foregone economic growth. Not from failing to buy AI — from failing to use the AI we’ve already bought. That gap, between what AI can do and what it’s actually delivering, is

Twelve months ago, the Productivity Commission told the Australian Government not to impose mandatory guardrails on AI. Existing laws would do. Don’t chill innovation. Two weeks ago, the Prime Minister stood up in Sydney and reversed the lot. Australia is moving from voluntary instruments – the AI Ethics Principles of 2019, the Voluntary AI Safety