One of the most important questions we have been watching throughout this bull market is whether artificial intelligence leadership would remain concentrated among the companies building the technology or eventually spread to the businesses using it. For much of the past several years, investors rewarded the companies solving the first challenge of the AI cycle: providing the computing power required to make the technology possible.

Nvidia, Broadcom and the broader infrastructure ecosystem captured extraordinary investor attention because demand was constrained by the availability of chips, networking capacity and data center infrastructure. That phase of the cycle created enormous value for the companies positioned at the bottleneck.

The market is now asking a different question. Will the capital being invested in artificial intelligence translate into broader economic benefits through higher productivity, stronger earnings and improved competitive advantages across more industries? That is the backdrop for Morgan Stanley chief U.S. equity strategist Mike Wilson’s recent argument that leadership could broaden beyond the largest technology companies.

Wilson’s view deserves attention because it reflects a real possibility. Healthy bull markets rarely depend on the same group of companies leading forever. As cycles mature, leadership often expands as more businesses demonstrate improving fundamentals and the benefits of economic growth become more widely distributed.

But Wilson’s latest call is also interesting because his career illustrates one of investing’s most difficult challenges: identifying a legitimate risk is not the same as knowing when that risk will matter. His caution has often been based on reasonable concerns, including elevated valuations, slowing growth expectations and questions about whether corporate profitability could remain unusually strong.

Those concerns should not be dismissed simply because the market continued higher. Investors who focus only on outcomes miss the harder question: was the original concern wrong, or did the market simply absorb it faster than expected?

That distinction has mattered throughout this bull market. During several periods when Wilson maintained a cautious view, stocks advanced because earnings remained resilient, businesses adapted and investors became increasingly willing to reward companies delivering genuine growth.

The lesson is not that caution is wrong. The lesson is that even strong investment frameworks must evolve when the evidence changes. Markets do not reward investors for identifying every possible problem. They reward investors who understand when those problems are likely to affect future returns.

That question is especially relevant today because a broader market does not necessarily mean abandoning the companies that led the first phase of artificial intelligence. It may mean the opposite: that the benefits of the technology they helped create are beginning to spread.

Nvidia remains the clearest example. The company solved the initial bottleneck of the AI cycle by providing the computing power required to build large-scale systems. The next question is whether the companies purchasing that infrastructure can generate enough economic value to justify continued investment at today’s extraordinary levels.

The same challenge applies to Microsoft, Amazon and other technology leaders investing billions in artificial intelligence. Their opportunity is not simply building more infrastructure. It is proving that those investments translate into measurable revenue growth, stronger margins and meaningful productivity gains.

That is often how major technology cycles mature. The first winners provide the essential tools. The next generation of winners emerges from the businesses that use those tools more effectively than competitors. The internet created enormous value for infrastructure providers, but the largest economic gains came from companies that transformed existing industries through adoption.

We believe the same principle applies to artificial intelligence. Investors do not need to choose between the companies enabling the technology and the businesses benefiting from it. The strongest market environments often reward both, provided earnings growth continues expanding beyond the original group of winners.

That is the type of environment our investment framework has always been designed to navigate. We are not attempting to predict which sector will lead every quarter. We are focused on owning businesses with durable advantages, strong management teams and the ability to compound earnings as market leadership changes.

This approach becomes especially valuable during periods of rotation. Investors who already own businesses benefiting from innovation, economic growth and disciplined capital allocation do not need to chase every new narrative. They can allow the market to recognize opportunities that are already reflected in the businesses they own.

The question we are watching now is whether this represents a temporary rotation or a genuine expansion of the bull market’s earnings engine. Our view is that the evidence increasingly points toward the second possibility. The market does not need to replace the leaders of the past several years. It needs more companies capable of joining them.

That is usually how durable bull markets mature. They do not continue because the same companies lead forever. They continue because powerful trends create a broader group of businesses capable of producing the earnings growth investors are willing to reward.