Every leadership meeting these days seems to have the same question: ‘What’s our AI strategy?’ The pressure is on for PMs to deliver AI-powered features, and fast. But this gold rush is creating a dangerous pattern: ‘AI Shiny Object Syndrome.’
We see teams getting pulled in a dozen different directions, chasing the latest model or trend without asking if it truly serves the user or the long-term vision. The result? A disjointed product, burnt-out engineers, and a roadmap that looks more like a reaction than a strategy. The core challenge for us as product leaders is to be the voice of strategic reason. It’s our job to filter the hype and anchor every decision back to the fundamental user problem we’re solving.
Instead of asking ‘How can we use AI?’, the better question is ‘What user problem can AI help us solve 10x better?’ Maintaining this strategic alignment requires clear communication and a solid system for feedback. Tools that help centralize user insights, like the ones we’re building at https://leera.io, become crucial for grounding your AI ambitions in real user needs. It ensures you’re building features that deliver genuine value, not just tech demos.
How are you balancing the pressure to innovate with AI against the need to maintain a coherent, vision-led product roadmap?