With generative AI, creating code and content is nearly free. This shifts the primary challenge from execution to strategic focus. The most valuable human input is now judgment and taste to decide which ideas to pursue, preventing the creation of low-quality, unfocused products.

With AI commoditizing the ability to build, the key differentiator is "taste"—the ability to discern what problems are worth solving and what ideas are wasteful. Building faster with AI is useless if you're building the wrong things. True success comes from what you decide *not* to do.

As AI tools automate coding and prototyping, the product manager's core function is no longer detailed specification writing. Instead, their value multiplies in judging, facilitating, and making the right strategic decisions quickly. The emphasis moves from the 'how' of building to the 'what' and 'why,' making decision-making the critical skill.

With AI driving the cost of software development toward zero, the ability to execute is becoming commoditized. The most critical and valuable skill is now strategic thinking: knowing *what* to build. This elevates the product manager's strategic function above all else, making it their core value proposition.

AI can generate countless ideas and prototypes quickly, making ideation a commodity. This elevates the true, scarce value of product management: identifying and deeply understanding a customer problem for which people will pay for a solution. The "diamond" is the validated problem, not the AI-generated idea.

AI tools are causing an explosion of features, making execution a commodity. The core skill for product teams is no longer building, but deeply understanding user needs. The winning products will be those that solve real problems, not those that are merely built fast.

AI is shifting the core of product management away from producing detailed artifacts like 60-page requirement documents. Instead, it elevates the role by demanding more focus on judgment, craft, customer empathy, and strategic thinking—the high-value work that cannot be automated.

With tools that make building faster than ever, it's easier to fall into the "build trap" of shipping features without validating their value. This shifts the primary bottleneck from execution to strategy, making the product manager's core job of identifying the *right* problem to solve more crucial than ever.

As AI tools commoditize writing code, the challenge shifts from 'can we build it?' to 'should we build it?'. The most valuable skill is now 'taste'—the nuanced understanding of user needs, market dynamics, and product quality that guides development toward an elegant solution.