For the past 18 months, AI excitement has created a rising tide that boosted fortunes for all major tech companies. This is changing. In the next year, their strategic bets, investments, and results will diverge dramatically, revealing clear winners and losers as "the tide goes out for some people."

Like the dot-com era, many overvalued AI startups will fail. However, this is distinct from the underlying technology. Artificial intelligence itself is a fundamental, irreversible shift that will permanently change the world, similar to how the internet and social media became globally dominant despite early market bubbles.

After years of inflated promises, the market is moving past the initial AI hype cycle. Leaders realize that simply attaching "AI" to a company name is not a strategy. This shift leads to a more realistic understanding of where AI provides practical value, which will stabilize hiring and investment.

Previous technology shifts like mobile or client-server were often pushed by technologists onto a hesitant market. In contrast, the current AI trend is being pulled by customers who are actively demanding AI features in their products, creating unprecedented pressure on companies to integrate them quickly.

As consumers become wary of "AI," the winning strategy is integrating advanced capabilities into existing products seamlessly, like Google is doing with Gemini. The "AI" branding used for fundraising and recruiting will fade from consumer-facing marketing, making the technology feel like a natural product evolution.

The initial AI rush for every company to build proprietary models is over. The new winning strategy, seen with firms like Adobe, is to leverage existing product distribution by integrating multiple best-in-class third-party models, enabling faster and more powerful user experiences.

In the rush to adopt AI, teams are tempted to start with the technology and search for a problem. However, the most successful AI products still adhere to the fundamental principle of starting with user pain points, not the capabilities of the technology.

Consumer innovation arrives in predictable waves after major technological shifts. The browser created Amazon and eBay; mobile created Uber and Instagram. The current AI platform shift is creating the same conditions for a new, massive wave of consumer technology companies.

Despite the hype, AI's impact on daily life remains minimal because most consumer apps haven't changed. The true societal shift will occur when new, AI-native applications are built from the ground up, much like the iPhone enabled a new class of apps, rather than just bolting AI features onto old frameworks.