When organizations flatten hierarchies and outsource key decision-making to AI, they create PMs who look like they know what they’re doing but lack the deep, nuanced understanding required for long-term success. AI-driven tools promise to exacerbate this further by making execution easier, reinforcing a cycle where PMs remain stuck in the mechanics of the role rather than engaging in deeper strategic thinking.

The key difference is that teaching scales, while doing does not. If your approach to leadership is just an extension of your approach to product management, if you are still in the details and still making sure every major decision is right, you are not actually leading. You are just a really senior PM.

In my path to product management, I've been shaped by both luck and a diverse background in computer science, economics, and data analysis. Flexibility has been key as I’ve navigated various industries, from e-Commerce to FinTech to InsurTech. In highly regulated sectors, the challenge lies in balancing innovation with compliance, anticipating regulatory changes, and managing risks. I’ve learned that well-rounded skills and strong collaboration are essential to managing complexity and adapting effectively, especially when working within strict regulations while still driving meaningful product development.