Artificial intelligence is creating a new industrial buildout unlike anything investors have seen in decades. Hyperscalers are committing hundreds of billions of dollars to data centers, chips, and power infrastructure because AI workloads require an entirely new computing backbone. The biggest question is shifting from whether AI demand exists to which companies will capture the economic value created by that demand. <\/p>\n
That opportunity has pushed investors to search beyond the established hyperscalers for the next generation of AI infrastructure winners. Nebius Group (NASDAQ:NBIS<\/a>) could be the one to achieve it. <\/p>\n Nebius Is Building A Hyperscaler-Style Business <\/p>\n Respected independent research firm Wolfe Research believes Nebius could generate $34 billion in revenue and $21 billion in EBITDA by 2030. That sounds ambitious, but it is not too far off from Nebius’s own forecasts, as it has the kind of contracted demand that most early-stage infrastructure companies can only hope to secure. <\/p>\n The company’s own long-range model projects: <\/p>\n Metric <\/p>\n Fiscal Year 2026 <\/p>\n Fiscal Year 2030 <\/p>\n Revenue <\/p>\n $3 billion <\/p>\n $33.3 billion <\/p>\n ARR <\/p>\n $7 billion <\/p>\n $34 billion <\/p>\n Gross Profit <\/p>\n \u2014 <\/p>\n $23.3 billion <\/p>\n Gross Margin <\/p>\n \u2014 <\/p>\n ~70% <\/p>\n That means Nebius expects revenue to compound at roughly 80% annually from FY26 through FY30 before slowing to a more mature growth rate. <\/p>\n Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks \u2014 and Nebius Group didn’t make the cut. Grab the names FREE today<\/a>. <\/p>\n Mature cloud businesses at Microsoft (NASDAQ:MSFT<\/a>) and Amazon (NASDAQ:AMZN<\/a>) trade at roughly 15 to 20 times EBITDA once their cloud operations become established. If Nebius reaches Wolfe Research’s $21 billion EBITDA forecast and receives even the lower end of that multiple range, the math looks like this: <\/p>\n EBITDA Multiple <\/p>\n Implied Enterprise Value <\/p>\n 15x <\/p>\n ~$315 billion <\/p>\n 20x <\/p>\n ~$420 billion <\/p>\n That estimate does not include any growth beyond 2030 or a scarcity premium for owning one of the few independent AI infrastructure platforms operating at global scale. If Nebius continues expanding after 2030 and pushes revenue toward $60 billion to $70 billion, a trillion-dollar valuation starts looking plausible. <\/p>\n Story Continues <\/p>\n The Vineland Data Center Is The Growth Catalyst <\/p>\n The key to Nebius reaching those targets is capacity. Its Vineland, NJ, data center is designed as a 2.6 million-square-foot AI factory developed with DataOne using Bloom Energy (NYSE:BE<\/a>) fuel cells for off-grid power. It is expected to become fully operational in 2027 and Nebius already has demand waiting. <\/p>\n The company has signed $46 billion in contracts with Microsoft and Meta Platforms (NASDAQ:META<\/a>), including its largest agreement: a $27 billion Meta deal beginning in early 2027. The structure gives Nebius flexibility: If Meta needs the capacity, Nebius fills it; if another customer offers higher returns, the company can redirect that capacity toward the open GPU market. <\/p>\n That contracted backlog changes the investment story. Instead of building data centers and hoping customers arrive, Nebius is building infrastructure around already committed demand. <\/p>\n Margins Determine Whether Nebius Becomes A Giant <\/p>\n Margins are what create trillion-dollar companies. The encouraging sign is that Nebius is not relying only on hyperscaler contracts. Its non-hyperscaler cloud pipeline expanded 3.5 times quarter-over-quarter in Q1, showing demand from enterprise customers is developing alongside its largest agreements. <\/p>\n The company is also moving higher into the AI stack. Nebius acquired Eigen AI for $643 million, bringing its technology into its Token Factory inference platform. Inference — the process of running trained AI models — could become a larger and higher-margin opportunity as businesses move from experimenting with AI to deploying it. <\/p>\n Granted, building AI factories requires enormous capital spending. Nebius will need to execute on construction timelines, secure GPUs, manage dilution, and maintain pricing power as competitors expand. <\/p>\n The company currently trades around a $45 billion market capitalization, meaning investors are already pricing in substantial future success. <\/p>\n Key Takeaway <\/p>\n In short, if the company reaches its FY30 targets of roughly $33 billion in revenue and $21 billion in EBITDA, a $300 billion to $500 billion valuation is possible based on cloud infrastructure multiples. That would translate into a potential share price range of roughly $880 to $1,500 by 2030. <\/p>\n Those numbers are speculative and depend on execution, but the opportunity is clear. Nebius is attempting to become the AI infrastructure layer between GPU suppliers and the companies racing to deploy artificial intelligence. <\/p>\n For investors comfortable with the risks of an early-stage hyperscaler, the potential payoff comes from owning the next platform before the market decides it has already arrived. <\/p>\n Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks \u2014 and Nebius Group didn’t make the cut. Grab the names FREE today<\/a>. <\/p>\n<\/a> Travis Wolfe \/ Shutterstock.com <\/p>\n