Everywhere you look, there’s a new AI tool promising to revolutionize our workflow. AI co-pilots write code in seconds, research tools synthesize user interviews in minutes, and data platforms spot trends we’d miss. The efficiency gains are undeniable, and the pressure to adopt these tools is immense.
This acceleration brings a critical question to the forefront: is AI amplifying our strategic capabilities or just turning us into high-speed feature factories?
The ‘delivery’ side of product development is getting a massive boost. We can ship faster than ever. But what about ‘discovery’? While AI can help us process research data, it can’t replicate the empathy of a deep user conversation or the creative spark of a team brainstorming session. There’s a real danger that the tangible, rapid output of AI-assisted delivery will overshadow the slower, more nuanced work of true problem discovery. If we’re not careful, we could end up building the wrong things for our users with unprecedented speed and efficiency.
As product leaders, how are you actively keeping the focus on strategic discovery and outcomes when the tools and incentives are all screaming for faster delivery?