Every market cycle has skeptics who call it a bubble, like with railroads, electricity, the internet, and smartphones. The dismissal of structural change as speculation is a mistake. AI is not hype; it’s a productivity event on the scale of past innovations like railroads and the internet. Investors who understand this early will benefit.

Investors tend to label innovative technologies as bubbles when they cannot model them. The reflex to call it a bubble until it becomes too big to ignore is common in every cycle. The real issue is anchoring bias, comparing new technology to old frameworks. AI is reshaping productivity and pricing power, not just generating hype.

AI is not a hype cycle; it is a structural margin transformation. The compression of knowledge work is changing the nature of work and redefining industries. Companies investing in infrastructure for AI, like Nvidia and Broadcom, are laying the groundwork for long-term benefits. AI is not about speculation but enduring capital expenditure.

Classic value investors often overlook innovation, prioritizing short-term margins over long-term value. Companies like Amazon and Alphabet traded at high P/E ratios early on due to infrastructure investments that later paid off. AI companies today are in a similar investment phase, building the foundation for future profitability. Value screens often misprice innovation.

The next phase of AI leadership will come from companies that embed it into their operations. Companies like Microsoft, Amazon, and GE are integrating AI into their core operations for structural margin expansion. The focus should be on companies that make AI profitable and structural, not just those chasing headlines. Regulatory oversight is a risk.

Markets often misprice time horizons, focusing on short-term earnings rather than long-term structural shifts. The cloud market was undervalued in the past, showing the market’s failure to understand timing. AI is at a similar inflection point today, with infrastructure buildout hidden beneath the surface. Investors should focus on efficiency and structure, not speculation.

The investor’s playbook for AI involves understanding where efficiency compounds, separating speculation from structure, and focusing on industries where AI can rewire margins. Companies embedding AI to lower costs or raise switching costs are key. Long-term thinking and patience are crucial for capturing structural reratings and real alpha in the AI space.

Read more at Yahoo Finance: If You Think AI’s A Bubble, You’re Already Late