The Complexity 2 Clarity Playbook

If your resource management strategy still revolves around utilisation percentages, you are fighting yesterday's battle with outdated weapons. The organisations that will lead in the AI era are not those that keep people busy — they are those that deploy the right capabilities to the right opportunities at precisely the right moment. There is a number that appears in almost every IT resource management review I have ever attended: utilisation rate. The target varies — 85%, 90

The future IT working model blends permanent employees, gig talent, strategic partners, and AI into governed delivery ecosystems. Why the remote vs office debate misses the point — and what operations leaders should build instead.

In 2020 a three member team took up the challenge to design a mathematical model for skillset fungibility; consequently, I published a white paper arguing that Skillset Fungibility would become a critical capability for organisations navigating accelerating change. Five years later, with AI reshaping entire skill categories almost overnight, that argument has moved from theoretical to urgent. There is a stat that stops most senior leaders cold when they first hear it: the hal

The job title on your business card still says Program / Project / Operations Manager. But the job description the market is writing for 2026 looks nothing like what you were hired to do five years ago. AI is not coming for your role. It already arrived — and it is quietly redrawing the boundaries of what a senior PM, delivery manager, or operations lead is actually responsible for. The question is whether you are leading that redrawing, or watching it happen to you. The Old

And the organizations that own that capability will be the quiet winners of the next decade. Everyone is talking about AI models. The billion-dollar valuations, the ChatGPT moments, the foundation model wars. But beneath every intelligent AI system — every self-driving car, every medical diagnostic tool, every large language model that answers your questions — there is an unglamorous, labour-intensive, and massively underestimated industry keeping it all alive. Data annotatio