Capable AI coding assistants allow PMs to build and test functional prototypes or "skills" in a single day. This changes the product development philosophy, prioritizing quick validation with users over creating detailed UI mockups and specifications upfront.

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.

Companies are using AI tools like Perplexity Computer to build functional MVPs almost instantly. This cultural shift allows teams to interact with a working version of an idea to gauge its value before investing significant engineering resources, replacing the traditional text-based planning phase.

As AI makes the act of writing code a commodity, the primary challenge is no longer execution but discovery. The most valuable work becomes prototyping and exploring to determine *what* should be built, increasing the strategic importance of the design function.

Years of focusing on MVPs has weakened the ability of product teams to imagine magical, delightful features. AI prototyping tools make ambitious ideas easier to build, helping teams reignite their creative muscles and aim for awesome products, not just viable ones.

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.

Previously, an impressive demo was a strong indicator of a founding team's engineering talent. Now, with AI coding assistants, anyone can build a sophisticated-looking application quickly. This completely devalues the demo as an investment signal, forcing early-stage VCs to find new ways to assess a team's technical capabilities and true potential.

The ease of building polished-looking applications with AI ("vibe coding") has become a problem for early-stage investors. It's now trivial to create a demo that looks impressive, making it difficult to discern which founding teams have built a real, defensible product versus a superficial facade.

Advanced AI tools have made writing software trivially easy, erasing the traditional moat of technical execution. The new differentiators for businesses are non-technical assets like brand trust, distribution networks, and community, as the software itself has become instantly replicable.