AI investing is moving beyond Nvidia: the market is rewriting its rules

For three years running, Wall Street lived by a simple formula: if you want to profit from the artificial intelligence boom, buy Nvidia. The strategy was so obvious and so lucrative that it became almost an axiom. The company's shares rose by more than a thousand percent since the start of the AI rally, and for a time Nvidia became the most valuable company in the world. But in February 2026, Bloomberg Markets Live analysts are pointing to something many expected but few were ready to admit: the era of Nvidia as the sole proxy for AI investing is over.

In the latest episode of Bloomberg: The Opening Trade, a team of analysts led by Mark Cudmore examined a key thesis that is gradually becoming consensus among institutional investors. The AI trade has not died; it has evolved. Capital is no longer concentrated in a single point but is spreading across the entire value chain of the artificial intelligence industry. That fundamentally changes the landscape for anyone managing portfolios.

To grasp the scale of the shift, it helps to recall how we got here. When ChatGPT set off the global AI fever in late 2022, the market reacted predictably: money flowed to whoever makes the "shovels for the gold diggers." Nvidia, dominant in GPUs for training neural networks, was the ideal candidate. The company controlled more than eighty percent of the data-center accelerator market, and its chips were literally irreplaceable. Every Nvidia quarterly report became an event for the entire stock market, and Jensen Huang in his leather jacket became the symbol of an era.

But markets don't stand still, and neither does the AI industry. Over the past year and a half, several structural changes have eroded Nvidia's monopoly position as the sole beneficiary of the AI boom. First, competition in chips has intensified sharply. AMD has gained share with its Instinct series accelerators, Amazon, Google and Microsoft have pushed deeper into developing their own AI chips, and Chinese manufacturers have found workarounds despite sanctions. Nvidia still leads, but its market share no longer looks unshakable.

Second, and perhaps more important, the AI market itself has moved from an "infrastructure build-out" phase to a "deployment and monetization" phase. When the industry was buying GPUs by the thousands, all the profit really did land with Nvidia. But now that companies have begun to earn real money from AI products, the investment logic has changed. Investors are looking at companies that use artificial intelligence to transform their businesses, from enterprise SaaS providers integrating AI agents to industrial giants automating production. AI profits are being redistributed across the whole economy, and the stock market has started to reflect that.

The third factor is the maturity of the technology itself. Where hardware and computing power used to be the main constraint, today the bottlenecks have shifted toward data, software, integration and, importantly, energy. Companies building data centers, electricity suppliers and developers of cooling systems have all become part of the extended AI ecosystem. Investment banks are issuing one report after another on the "second derivative" of the AI trade, recommending a look at infrastructure players that until recently weren't associated with the technology sector.

For Nvidia this is not a catastrophe, but it is a serious challenge. The company remains fundamentally strong: demand for its products is high, new chip architectures keep setting the standard, and the CUDA ecosystem still creates a powerful lock-in effect. However, the multiples at which the stock trades can no longer expand at the old pace once the market understands that AI is not the story of a single company. Bloomberg analysts note that Nvidia's volatility has declined while its correlation with the broader tech index has risen. It is increasingly becoming "just" a large technology company rather than a unique bet on the future.

What does all this mean for the industry as a whole? The diversification of the AI trade is a sign of market health, not weakness. When an entire investment theme depends on one stock, it creates systemic risk. A wider circle of beneficiaries means the AI boom is gaining a sustainable economic foundation. Money is going where real value is created, not where it is easiest to place a bet.

The AI revolution has not ended; it has simply grown up. And the market has finally begun to understand that.