The Journal

AI made individual developers faster — so why does your organization feel exactly as slow as before?

I came across an episode of the Creative Confidence Podcast recently with guest Hannah Rosenfeld that stopped me mid-scroll. The core provocation: most people are using AI in exactly one way — to go faster. And while speed is real value, it's also the most surface-level thing AI can do for you. What Hannah describes is something richer. A framework for using AI not just to execute, but to think — more broadly, more honestly, and more clearly than you could alone. I found myself applying it well beyond research. To decisions I'm navigating at work. To how I process information. To how I prepare for difficult conversations. Here's what that looks like.

Whenever I face the fear of losing, I feel a surge of stress. Whether it’s the anxiety of a poor work presentation, failing to solve a complex problem, or missing out on a promotion, the pressure is real. It can even be as small as missing my daily commute or as intense as the final moments of a favorite game. We all experience this to varying degrees, depending on the situation and our own personalities. At the core of these moments is a common thread: the fear of missing something important. But if we take a step back, we have to ask—why does this cause such deep fear? How did we end up here? Is it simply a matter of heightened awareness?

For more than 30 years, the IT services industry scaled through people, processes, and predictability. That era is ending. Large Language Models and Agentic AI are not just automating tasks—they are collapsing delivery timelines, redefining team structures, and forcing a fundamental rethink of how value is created. The question is no longer “Will AI change IT services?” The real question is: Who adapts fast enough—and who doesn’t survive the transition?

Moving from consumption to creation. Why we need to own our platforms and the concept of the 'Integrated Self'.