Another Shocking AI Prediction: The Boom Is No Bubble, Nvidia Stock Could Surge 50% More!
On Thursday, analysts at Cantor Fitzgerald, a U.S. financial services firm, declared that the artificial intelligence (AI) boom is not a bubble, citing hundreds of billions in future demand and significant opportunities for Nvidia in the market.
Founded by U.S. Commerce Secretary Howard Lutnick, Cantor Fitzgerald raised its price target for Nvidia to $300 after meetings with CEO Jensen Huang and other executives, implying a potential 50%+ rally from current levels.
This target also suggests Nvidia’s market cap could reach $7 trillion, having recently become the first company to hit $4.5 trillion in valuation.
Not a Bubble, Just the Beginning
Amid growing fears of an AI bubble fueled by Nvidia’s multibillion-dollar infrastructure deals with top AI players, Cantor Fitzgerald analysts argue the buildout is only starting. They expect hyperscalers to invest hundreds of billions more in the coming years.
In their latest report, they noted the AI industry is “moving at exponential speed.” Beyond hyperscalers, the Cantor team sees physical AI development, enterprises, and neo-cloud companies (which rent out GPUs) driving infrastructure demand over “the next few years.”
“This is not a bubble; we’re still in the early stages of this investment cycle,” the analysts said.
Nvidia Sits Firmly on the Throne
In Cantor Fitzgerald’s view, Nvidia’s partnership with OpenAI, supplying millions of GPUs for next-gen models, positions OpenAI as Nvidia’s own “self-hosted hyperscaler.”
By cutting out profit stacking from server manufacturers and cloud providers—where markups across the supply chain inflate final prices—the cost gap between Nvidia’s chips and custom ASICs averages just 15%, analysts said. They see this as a “true win-win” that could pressure the ASIC market, which increasingly challenges Nvidia’s dominance.
Nvidia’s annual product cadence also optimizes the entire AI infrastructure, as clients need not just chips but scalable AI deployment. Nvidia’s full-stack solution of chips, networking, and software gives it an edge.
“Simply put, Jensen Huang and his team are as focused and competitive as ever, playing to win. We believe Nvidia will maintain at least 75% of the AI accelerator market over time,” they wrote.
The Cantor team’s confidence in AI infrastructure demand growth and Nvidia’s market share through 2030 has “greatly strengthened.”
Entering 2026, analysts project Nvidia’s earnings per share (EPS) at $8, above Wall Street’s $6.26 consensus, and $11 by 2027, surpassing the $7.36 estimate. These gaps make Nvidia their top pick.
Finally, analysts emphasized that as Nvidia pursues its “stretch goal” of $50 EPS by 2030, the stock has even more meaningful upside. By then, Wall Street projects the AI infrastructure market could reach $3–4 trillion.