It feels like every product conversation today is dominated by AI. We’re all rushing to integrate AI features, but are we doing it strategically? I’ve seen a trend where the ‘AI roadmap’ is just a list of cool-sounding features—AI-powered summaries, chatbots, predictive analytics—without a unifying vision. It’s easy to get caught up in the tech and forget the core product principles.
True AI integration isn’t about sprinkling machine learning on top of your existing product. It should fundamentally enhance your core value proposition or create entirely new user value that wasn’t possible before. Instead of asking, ‘What AI features can we build?’ we should be asking, ‘What user problems can we now solve in a radically better way with AI?’
This requires a shift from a feature-led approach to a problem-led, AI-enabled strategy. It means deeper user research to find the right problems and a stronger focus on the ‘why’ behind the technology. Otherwise, we risk building expensive, high-tech features that don’t truly move the needle for our users or the business.
How are you ensuring your team’s AI initiatives are tied to genuine user value instead of just becoming a list of technically impressive but ultimately shallow features?