AI is dramatically lowering the cost and difficulty of execution. As a result, the primary business challenge is shifting away from the *how* (implementation) and towards the *what* (idea selection). The new scarce skill is identifying valuable problems that justify the AI token spend required to solve them.

The rapid growth of AI products isn't due to a sudden market desire for AI technology itself. Rather, AI enables superior solutions for long-standing customer problems that were previously addressed with inadequate options. The demand existed long before the AI-powered supply arrived to meet it.

During a fundamental technology shift like the current AI wave, traditional market size analysis is pointless because new markets and behaviors are being created. Investors should de-emphasize TAM and instead bet on founders who have a clear, convicted vision for how the world will change.

Don't wait for a 'Shark Tank' invention. Your most valuable business idea is likely a proprietary insight you have about a broken process in your current field. Everyone has a unique vantage point that reveals an inefficiency or an unmet need that can be the seed of a successful venture.

To avoid being crushed by AI platform advancements, startups shouldn't compete directly with core models ('under the rock'). Instead, they should find a specific, underserved problem on the outer edge of what's newly possible, where deep user familiarity provides a defensible moat.

In a crowded market, the most critical question for a founder is not "what's the idea?" but "why am I so lucky to have this insight?" You must identify your unique advantage—your "alpha"—that allows you to see something others don't. Without this, you're just another smart person trying things.

To avoid being crushed by incumbents, AI startups must operate on ideas that are both non-obvious ("different") and difficult to execute ("hard"). If a startup's core idea becomes obvious to the world before it achieves significant scale, larger companies with more resources will inevitably co-opt the market.

To capitalize on a new technology wave (e.g., AI agents), you must be an active participant at the frontier. The best ideas come from building a solution to a problem you and other pioneers are facing while tinkering. This tool, built for the vanguard, is what the mainstream market will need in 6-12 months.

In a fast-moving AI landscape, startups can create defensible moats by leveraging new tools to rapidly build solutions for highly specific customer needs. This deep personalization—for a niche provider, rare disease patient, or specific administrative workflow—creates a "wow moment" that large, generalist models struggle to replicate.