The Old Guard Meets the Physical Realities of the Intelligence Era: Companies Combining Scale with Innovation Lead the AI Boom
MoneyShow — A 40+ Year Legacy of Investment Leadership
Last week in Las Vegas, I had the honor of speaking on the panel “Forecast 2026: Invest Smarter, Trade Wiser” at the MoneyShow. Sharing the stage with Mike Lee of Mike Lee Strategy and Nancy Tengler of Laffer Tengler Investments sparked one of the most forward-looking conversations I’ve had all year.
The energy in the room was electric. Investors, traders, and fund managers were all grappling with the same underlying question: Is the AI boom real — and how do we play the next phase intelligently?
The consensus we reached on stage offers a roadmap for the next two years. We are moving past the hype into a complex era defined by what I call the “Magnificent Divergence”—a split between AI-native companies moving exponentially and legacy firms struggling to adapt. As we look toward 2026, the theme is clear: the next leg of the AI Boom will reward the companies that marry scale, innovation, and strategic infrastructure.
From Experiment to Infrastructure: The Deployment Phase
When OpenAI introduced ChatGPT, it triggered a global awakening. But that was just the surface. The deeper transformation is happening in data centers, enterprise software, financial modeling, and automation systems.
After years of covering AI, building media platforms, and advising on digital strategy, I can say this with confidence: This is not hype. This is infrastructure.
We are no longer in the experimental stage of AI; we are in the deployment stage. Giants such as Microsoft and Google are embedding AI into every product line, while companies like NVIDIA power the compute layer. This is a structural shift similar to the internet boom of the 1990s.
However, a critical narrative is emerging regarding who will win this race. It is the story of the “Old Guard” meeting the new Intelligence Era.
