Why Product Sense is the only product skill that will matter in the AI age

AI tools will become table stakes. Every competitive company will use AI for discovery, design, prototyping, coding, testing, analytics, customer feedback, competitive analysis, and everything else in the product lifecycle. Which specific tools you use will be irrelevant because any tool that gives a significant advantage will quickly become common knowledge. Tools have never been a source of alpha in product success, and that is not changing with AI. In the near term, being AI-native gives you an edge over the 80-90% who are not, but long-term you will compete with other savvy AI-native product people, not the holdouts.

The real question is how companies will differentiate when AI tools are roughly equivalent in power. It cannot be through trade secrets in tool usage or using more tools than competitors. It can only be through how you improve upon what these highly powerful AI tools provide-whether customer insights, market analysis, strategic recommendations, prioritization suggestions, or go-to-market ideas. Until we reach artificial superintelligence, a small number of humans will still be accountable for making the right calls on high-quality inputs and outputs largely created by AI. The bar will be fairly high, one that most product people will find impossible to meet.

What enables these humans to make better product decisions breaks down into five specific skills. Strong empathy lets you figure out what people need beyond what AI has already analyzed. Excellent simulation skills help you identify future possibilities based on your understanding of the domain, technology, competition, customers, and users. Stellar strategic thinking means you can identify what segments your product must resonate with and what your differentiators will be. Great taste allows you to figure out which recommendation is optimal for your business goals from a set of excellent options and explain your thinking clearly. Creative execution means conceiving unique features and solutions your competition cannot, given all the right insights and options.

Product sense is simply the label for this combination of skills. Companies that build great systems around AI-better feedback loops, data pipelines, integration into decision-making workflows-will survive. That becomes the baseline. But among companies with great AI systems, the differentiator becomes the product sense of the people making the calls. Because at that tier, everyone has good systems and good data. The gap is in judgment. This is not about being anti-AI or romantic about human intuition. It is about recognizing that when AI handles the grunt work brilliantly, the remaining work requires a specific set of human capabilities that most product people do not currently possess.