AI as Platform Shift, Not a Permanent Moat

The real winner over the long run, Smith writes, is the brand that already has pricing power, customer preference, and durable demand. Technology raises the competitive baseline. The companies that create stronger preference, better conversion, and more durable demand are better positioned to benefit. He calls this the paradox of quality. Every product and service today is better than a decade ago because quality is contagious. One company finds a better way. Competitors follow. The result is higher quality and greater parity. AI will accelerate that cycle, not break it.

For investors trying to separate hype from edge, the implication is not to chase AI-native names as if they hold a permanent moat. The early lead belongs to firms that can experiment without risking their core business. Big brands can afford to be behind at the start. They watch, learn, and eventually acquire or integrate. Smith points out that AI-native firms are often built for a payday – they transfer their systems, know-how, and people to a larger home.

Consider Apple. It built its mobile platform on top of existing general-purpose technology. AI will follow the same curve. The operating structures of big brands are not going to be ripped out overnight. AI-native firms will sort out what works. Big brands will upgrade and adapt.

Smith warns against betting too heavily on today's AI technology. Brands are adapting to stay visible with text-based large language models that power consumer search and recommendations. Those LLMs are not the best AI can do. Better technologies will follow. Going all-in on current LLMs is a bet that the AI future has arrived, when in fact the future has barely begun.

The takeaway for stock pickers: watch for brands that already have pricing power and customer preference. Those companies will benefit most from the platform shift. The technology itself is not the edge. The brand is.