Responsibility, Trade-Offs, and Learning at AI Scale
Over the past year, I’ve been working closely with some of the bigger and more visible AI customers in Microsoft’s ecosystem. Large platforms. Fast-moving teams. High expectations. High stakes. On paper, that kind of visibility sounds exciting. In reality, it comes with a weight that’s hard to explain unless you’ve been there. Because being close to impact also means being close to consequence. Visibility changes everything When you work with smaller teams or early-stage projects, mistakes are usually contained. You can recover. You can explain. You can iterate. ...