We’re all seeing the incredible speed AI is injecting into the development lifecycle. Code gets written faster, user stories can be drafted in seconds, and market analysis is accelerated. The pressure is on to leverage these tools to ship more, faster. But in this race for velocity, are we creating a new kind of feature factory on steroids?
AI is brilliant at optimizing the ‘how’ and even suggesting the ‘what,’ but it can’t replace the ‘why.’ The core of our craft is deep human empathy—understanding the user’s context, their frustrations, and their unsolved problems. Skipping this foundational discovery work to chase AI-powered speed is a dangerous game. It risks building a polished, efficient product that solves no real-world problems, ultimately delivering no value. Our role as product leaders is to champion the user, ensuring that technology serves a genuine need, not the other way around. We must steer the ship, not just fuel the engine.
How are you balancing the incredible potential of AI-driven development with the timeless need for deep user research and problem validation on your teams?