
You onboard employees carefully. Who offboards your AI agents?
Most businesses can't name the AI agents now acting on their own. How to onboard, govern, and off-board them like employees.
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Articles, perspectives, and practical thinking for senior leaders navigating real AI decisions.

Most businesses can't name the AI agents now acting on their own. How to onboard, govern, and off-board them like employees.

AI terminology explained using your favourite restaurant

If your AI went offline on a Friday and nobody knew when it would return, what would you do?

AI is flattening the org, but cutting people isn't cutting bureaucracy. Strip the admin, keep the leadership, redesign the work.

Uber's AI budget lasted four months. What token pricing means for anyone putting AI to work.

How much energy are you actually consuming using AI? Not as much as you might think…

Same AI models, wildly different results. What separates the teams pulling ahead with agentic AI from the ones stuck, and why it's a leadership problem.

Every week, an AI agent reviews how I spent my time, compares it to what I said I'd focus on, and tells me exactly where I went wrong. It doesn't accept excuses.

The first question a leader asks about AI tends to decide how far the rollout goes. Most reach for a smaller one than they realise. Here's the question worth asking instead.

How Costco is using AI to make jobs bigger rather than fewer, and why most companies stall before they start building.

1 in 3 workers admit to sabotaging their company's AI strategy. The cause isn't the tools, it's sentiment. What leaders miss when AI adoption stalls.

What changed between Microsoft's 2025 and 2026 Work Trend Index reports, and why the operating model, not the AI, is where SME adoption actually breaks.

Your organisation likely has more AI capability than it's currently using. Why closing that gap is a leadership challenge, not a technology problem.

Sequoia's blueprint for eliminating middle management with AI raises important questions. Here's what they got right, and the critical bit they missed.

Resisting AI at work might feel principled, but it's self-defeating. Why leaders who undermine AI adoption are ultimately limiting their own organisations.

Most AI strategies are, whether leaders admit it or not, doing maths on people. Why so few organisations are honest about what the numbers actually say.

A step-by-step account of building a LinkedIn-to-ClickUp CRM workflow using AI in under an hour. Practical automation any leader can replicate today.

Most AI investment is sitting unused inside organisations. The AI Leader Lab on why adoption stalls, and what leaders need to do differently to unlock it.

69% of CEOs say AI is critical to their future, yet barely use it themselves. Why this personal gap is quietly undermining every AI strategy they set.

At Microsoft's AI Tour, the most striking conversations were about people, not technology. On-the-ground observations for leaders navigating the AI shift.

How a 30-minute AI rehearsal session transformed one leader's approach to a difficult feedback conversation, and what it reveals about practising leadership.

Technology is evolving faster than leadership practice. Why leaders need to raise their own standards now, before the next wave of AI tools widens the gap.

Gen Z isn't the obstacle to AI adoption in your organisation. Their managers are. Why the real resistance to AI lives at the leadership layer.

Decision laundering, using AI output to disguise weak judgement, is emerging as a critical leadership failure mode. What it looks like and how to avoid it.

AI doesn't lower the bar for leadership. It raises it. Why the premium for strong, accountable leaders is growing, not shrinking, in an AI-augmented world.

Speed is not a proxy for quality in AI-assisted decisions. Why fast AI outputs still require human judgement to be worth anything at all.

Using AI doesn't dilute accountability. It concentrates it. Why leaders who delegate to AI still own the outcome entirely, and always will.
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