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 lowers the barrier to building, product teams spend less time on execution ('how') and more on strategy and ethics ('should we'). This shift elevates the conversation to focus on consequences, bias, and building the right thing, making product taste a shared responsibility across the entire team.

The cost of building software is now so low that it's practical to create tools for specific, temporary goals and then discard them. This contrasts with traditional software development, which required a significant, long-term ROI. Software no longer needs to be permanent to be valuable.

Traditional product development (PRD-first) was designed to protect scarce engineering resources. With AI making software creation as easy as writing a document, teams can shift to a prototype-first approach, where ideas are built and tested immediately without agonizing over ROI.

AI tools dramatically speed up code implementation, making engineering velocity less of a constraint. The new challenge becomes the slower, more considered process of deciding *what* to build, placing a premium on strategic design thinking and choosing when to be deliberate.

While AI makes building software cheaper, this heightens the need for prioritization. The temptation to "build it all" ignores the total cost of ownership, including maintenance and support. Without the natural constraint of high development costs, strategic focus is paramount to avoid chaos.

With code becoming cheaper and faster to write thanks to AI, the critical differentiator is no longer the ability to build, but the judgment and taste to decide what is worth building among countless user requests and possibilities.

As AI makes feature creation trivial, the crucial skill for product builders will be ruthless simplification. The challenge shifts from "what can you build?" to "what should you *not* build?" to maintain clarity and usability in an age of abundance.

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.