Artificial intelligence (AI) has become the main engine of global financial markets. The companies driving this transformation have reached record valuations and are attracting a growing share of the world’s capital. Behind the AI boom, though, there is one factor that often gets overlooked: the role of management.
In a period defined by billion-dollar investments in data centers and deep industrial change, the quality of leadership is emerging as one of the most important factors separating the companies set to cement a lasting competitive advantage from those that may benefit only temporarily from market enthusiasm.
The recent ranking of the best CEOs published by the financial magazine Barron’s offers exactly this kind of reading: it singles out the managers who have been able to interpret major economic shifts and turn them into value for shareholders.
The Nvidia lesson: seeing change before everyone else
The clearest case is that of Jensen Huang, founder and CEO of Nvidia. The group’s success is often explained by the explosion in demand for AI chips. In reality, the dominant position the company has won is the result of a strategy set in motion many years before generative AI arrived.
When the market still saw GPUs (graphics processing units) mainly as gaming hardware, Nvidia was already investing in building an ecosystem geared toward high-performance computing. That choice, poorly understood at the time, proved decisive once artificial intelligence began to demand enormous processing power.
For investors, it is an important lesson. The biggest returns rarely come from riding a trend that is already well established; far more often, they come from identifying early the shifts destined to redraw an entire sector.
The less visible players in the AI ecosystem
Investor attention tends to concentrate on the best-known names, but the AI revolution has created opportunities across the entire value chain.
Hock Tan, CEO of Broadcom, is one of the most interesting examples. The company has become a central player in the market for custom chips, a component increasingly sought by the large cloud operators looking for solutions tailored to their own AI models.
A different but equally significant path is that of Lisa Su. When she took the helm of AMD in 2014, the company was seen as a marginal competitor to Intel. Today it is one of the most important players in the market for data-center processors. The turnaround was made possible by a coherent strategy and remarkable execution.
The infrastructure behind the AI boom
AI is often associated with software and algorithms. In reality, its growth depends on a vast physical infrastructure made up of servers, networks, storage systems, and high-speed connections. For that reason, some of the most interesting opportunities are developing in sectors that receive far less attention.
There is the case of Corning, led by Wendell Weeks, which is benefiting from the growing spread of the optical networks needed to connect next-generation data centers. The exponential rise in data traffic requires ever more advanced solutions to ensure both speed and energy efficiency.
Dell Technologies is going through a profound transformation as well. The company founded by Michael Dell is still associated with the PC market, but an ever larger share of its business is now tied to the systems and infrastructure that companies use to build AI applications.
The same is true of Micron Technology. Under the leadership of Sanjay Mehrotra, the group has become one of the leading suppliers of advanced memory, an indispensable component for training and running the most sophisticated AI models.
The decisive role of capital allocation
The Barron’s ranking also highlights a trait shared by the best CEOs: the ability to allocate capital effectively.
That is the case with Darren Woods, who in recent years has steered ExxonMobil toward greater financial discipline, and with Larry Culp, the architect of the turnaround at GE Aerospace during one of the toughest stretches for the industrial sector.
Jamie Dimon also remains a point of reference in banking. The growth of JPMorgan Chase has been accompanied by steady investment in technology and data analytics, which have strengthened the group’s competitive position.
For investors the message is clear: the sector matters, but the quality of management continues to make the difference when it comes to turning a market trend into lasting results.
Is Europe being left on the sidelines of the AI race?
One thing that stands out when you look at the main protagonists of the AI revolution is the dominance of US companies.
Nvidia, Microsoft, Amazon, Alphabet (the parent company of Google), Broadcom, and AMD command much of investors’ attention and sit at the heart of the current technology cycle.
Europe appears less present in the most visible segments of the new digital economy. That does not mean the continent is shut out of the benefits of the ongoing transformation. The case of ASML is telling. The Dutch company makes the machines used to produce the world’s most advanced semiconductors. Without its technology, much of the global chip industry simply could not operate. Groups such as Siemens, Schneider Electric, and ABB are also benefiting indirectly from the rise of AI, thanks to demand for energy infrastructure, automation systems, and data-center solutions.
The continent also retains leadership positions in sectors such as pharmaceuticals and industrial engineering, fields that draw far less media noise than AI but often generate high returns over very long periods.
The takeaway for investors
The AI revolution is creating enormous opportunities, but the history of markets teaches that every great innovation goes through phases of excessive enthusiasm, followed by misguided investments that lead to later rounds of selection. In that context, watching how the best CEOs behave can offer more useful guidance than simply chasing the most popular stock of the moment.
The managers who emerge from the Barron’s ranking share one specific trait: they have built organizations capable of adapting to change and seizing the opportunities offered by new technologies without losing control of profitability.
For that reason, while attention stays fixed on artificial intelligence, investors would do well to look also at the quality of leadership. That is often where the real, durable competitive advantage is hiding.
Editor’s note
This article was originally published in Italian on money.it by Gerardo Marciano on June 27, 2026 as «Rivoluzione AI, cosa possono imparare gli investitori dai grandi CEO del momento?». It has been translated and adapted for an international audience by the Money.it International desk.
