Product management has always been about balance, balancing user needs with business goals, innovation with feasibility, and vision with execution. But as I reflect on my own journey, from customer support to design to now leading roadmaps as an associate product manager, I’m realising how the way we work is dramatically shifting with AI-powered tools.
For me, this shift became real when I started experimenting with AI-driven IDEs. Having tried Cursor, Windsurf, Trae, and most recently Kiro, I’ve seen firsthand how much of a impactful AI can be for product people like me. Kiro, in particular, feels different, it wasn’t just about writing code faster or vibe coding, it became a thought partner, bridging the gap between product vision and technical execution.
Traditionally, product management meant juggling documents, sprint planning sessions, and back-and-forths with designers and developers. Every requirement had to be spelled out in detail, and iteration cycles can be slower sometimes because execution relied heavily on handoffs. Writing user stories, gathering feedback, translating them into dev requirements, everything felt like pushing a boulder uphill.
But now, AI tools are reshaping that process. Instead of spending hours drafting documentation, I can prompt an AI assistant to generate structured user stories or brainstorm use cases I might not have considered.
When I use AI IDEs like Kiro, I don’t just get code completion; I get context-aware suggestions that align with the product’s goals. It allows me to bridge conversations with developers faster, test feasibility in real time, and refine features with more confidence. In short, AI collapses the gap between idea and implementation
My take is that AI doesn’t replace the role of a product manager, it amplifies it. Because, at the heart of product work is “understanding people”. AI doesn’t change that truth, it just helps me move from insight to solution faster.
That’s why I believe the product managers who thrive in the AI era will be those who embrace AI not just as a tool, but as a collaborator.
As I continue building, experimenting, and learning, I keep asking myself:
- What does AI make possible today that was impossible yesterday?
- How can I ensure technology still serves “users” first, not just efficiency?
- What new product philosophies will emerge in this AI-augmented landscape?
These are the questions driving me. And honestly, it’s an exciting time to be a product manager, because the gap between vision and reality has never been smaller.
-Final Thought: If the old way of product management was about surviving the process, the AI way is about reimagining what’s possible.