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.

Companies with a scarcity mindset ask how AI can cut costs and reduce headcount. The winning approach is an abundance mindset: asking how AI can do more, reach more customers, and accelerate growth with the same team. This focus on top-line growth will separate the leaders from the laggards.

AI agents will automate execution tasks at machine speed, nullifying the old business mantra that "execution is strategy." A firm's value will no longer come from *doing* things efficiently, but from the uniquely human ability to think big picture, choose the right goals, and make high-quality strategic judgments.

The key to predicting AI's economic impact is not focusing on the abundance it creates, but identifying what will remain scarce. As automation made goods cheap, the economy shifted to scarce services. The next economic transformation will similarly be driven by whatever human skills or experiences AI cannot replicate.

AI makes the technical 'doing' of business, like coding, accessible to everyone. The durable competitive edge is no longer the ability to build a product, but the ability to reach and acquire customers. Audience and distribution channels are the new defensible assets.

As AI transforms intelligence into a cheap utility, the competitive advantage is no longer knowing the most. Instead, value lies in discernment: applying creativity, judgment, taste, and ethics. The critical skill becomes identifying what truly matters, making wisdom more valuable than raw information.

AI is commoditizing knowledge by making vast amounts of data accessible. Therefore, the leaders who thrive will not be those with the most data, but those with the most judgment. The key differentiator will be the uniquely human ability to apply wisdom, context, and insight to AI-generated outputs to make effective decisions.

Competing on AI-driven speed and efficiency is a losing strategy that leads directly to commoditization. The real strategic advantage lies in running the opposite race: deepening your business's humanity, community, and authentic connection to build a moat that AI cannot cross.

As AI makes software and open markets hyper-efficient, it collapses margins. The only sustainable businesses will be those built on 'dark pools'—proprietary assets like exclusive deal flow, unique relationships, or private data that cannot be easily replicated or arbitraged by algorithms. Open access leads to zero value.