Navigating the AI Bubble: Focusing on Value, Not Just Hype

The AI revolution has created enormous pressure on product and design leaders to adopt quickly and visibly. But MIT economist Daron Acemoglu has warned that 'a lot of money is going to get wasted' — that chasing AI capabilities without addressing real user needs risks producing low-impact, low-retention products.

Three Risks of Chasing Hype

1. Wasted investment — resources spent on unsustainable AI features erode trust when the novelty fades
2. Misallocation of talent — high-visibility trendy projects pull designers away from more meaningful work
3. Loss of user trust — products built on novelty rather than value become irrelevant once hype cycles shift

Strategies for Staying Grounded

1. Identify practical, user-centered applications before committing resources
2. Invest in education so your team can separate durable capabilities from trend-driven noise
3. Focus on incremental value while keeping a long-term vision for transformative impact
4. Prioritize value-driven AI features in roadmap planning — tie every capability to a real user need
5. Use generative AI thoughtfully — as a design amplifier, not a replacement for user understanding

"The discipline isn't adopting AI — it's knowing which problems AI actually solves for your users."