AI Infrastructure Boom: Three Stocks Poised for Growth as Spending Nears $1 Trillion
Global spending on artificial intelligence infrastructure is experiencing unprecedented acceleration, with projections showing the market nearly tripling to $902 billion by 2029. This explosive growth is creating significant investment opportunities in companies supplying the hardware, cooling systems, and cloud services that underpin the AI revolution. Three companies—Dell Technologies ($DELL), Nebius Group, and Vertiv Holdings ($VRT)—are emerging as key beneficiaries of this infrastructure build-out, each offering distinct advantages in an increasingly competitive landscape.
Record Backlogs and Valuation Discounts
Dell Technologies stands out as a compelling investment opportunity despite its dominant market position. The company is currently managing a record $43 billion server backlog, reflecting extraordinary demand for its computing equipment from data center operators and cloud providers racing to deploy AI capabilities. This backlog provides exceptional visibility into future revenue streams and demonstrates the sustained intensity of infrastructure spending across the industry.
What makes Dell particularly attractive to investors is its valuation profile. Despite commanding substantial market share in enterprise servers and storage solutions, the company trades at notably low valuation multiples compared to peers benefiting from the AI infrastructure boom. This discount presents potential upside as investors recognize the durability of demand and the company's critical role in powering the next generation of data centers.
The server backlog itself reflects broader industry dynamics:
- Enterprise customers accelerating AI model deployment timelines
- Cloud providers expanding capacity to meet generative AI demand
- Supply chain constraints limiting manufacturers' ability to fulfill orders
- Long-term commitments from major technology firms securing hardware allocations
Hypergrowth in AI Cloud Services
Nebius Group represents a different growth profile within the AI infrastructure ecosystem. The company has demonstrated extraordinary momentum, posting 830% year-over-year growth in AI cloud revenue. This explosive expansion reflects surging demand for dedicated AI computing resources and the company's successful positioning as a specialized provider of cloud services tailored specifically for artificial intelligence workloads.
Nebius's growth trajectory suggests the company has successfully differentiated its offerings from traditional cloud providers like AWS, Microsoft Azure, and Google Cloud. By focusing intensively on AI-specific infrastructure and services, Nebius has captured market share from customers seeking alternatives optimized for machine learning, training, and inference workloads. The 830% growth rate indicates penetration into new customer segments and expanding usage among existing clients.
This rapid expansion carries both opportunities and risks:
- Market opportunity: Specialized AI cloud services remain underserved by generalist providers
- Execution risk: Maintaining profitability while scaling at hypergrowth rates
- Competitive pressure: Larger cloud providers expanding AI service portfolios
- Capital intensity: Infrastructure growth requires substantial ongoing investment
Critical Infrastructure: Cooling and Power
Vertiv Holdings occupies an often-overlooked but essential position in the AI infrastructure value chain. As data centers deploy increasingly dense computing hardware to train and operate large language models and other AI systems, the thermal and electrical demands have reached critical levels. Vertiv supplies the cooling systems, power distribution equipment, and thermal management solutions that enable modern data centers to operate reliably at scale.
The company is experiencing strong order growth that validates the durability of infrastructure spending. Most significantly, Vertiv has provided guidance for 28% organic sales growth in 2026, a projection that reflects robust order visibility and sustained customer demand for its products and services. This growth guidance is particularly noteworthy because it comes from a company that has already established itself as a market leader, suggesting the infrastructure build-out remains in early innings.
Vertiv's criticality to the AI infrastructure buildout cannot be overstated. A single data center failure due to cooling or power system inadequacy can result in millions of dollars in losses per hour. This mission-critical nature of Vertiv's products creates sticky customer relationships and recurring revenue streams as data centers continuously expand and upgrade their thermal and electrical infrastructure.
Market Context: The AI Infrastructure Inflection
The projected growth to $902 billion in AI infrastructure spending by 2029 represents a fundamental shift in capital allocation across the technology sector. This trajectory mirrors previous infrastructure booms—the shift to cloud computing, the mobile phone revolution, and the buildout of broadband networks—each of which created substantial wealth for infrastructure suppliers.
The current AI infrastructure cycle differs in one critical respect: the concentration of spending. The vast majority of AI infrastructure investment flows to a relatively small number of hyperscale cloud providers and technology giants developing proprietary AI systems. Amazon, Microsoft, Google, Meta, and a handful of others are collectively spending tens of billions annually on data center expansion. This concentration creates a winner-take-most dynamic for suppliers like Dell, positioning the company to capture disproportionate share of global server and storage spending.
The competitive landscape includes:
- Traditional server makers: HPE, Lenovo, Cisco facing similar tailwinds
- Semiconductor suppliers: NVIDIA, AMD, Intel benefiting from chip demand
- Pure-play infrastructure companies: Limited publicly traded alternatives to Dell, Vertiv, and Nebius
- Specialized cloud providers: Growing competition in AI-specific services
Investor Implications: Valuation and Risk Considerations
For equity investors, the thesis rests on several interrelated assumptions. First, AI infrastructure spending will continue at projected levels, neither accelerating nor decelerating materially. Second, the three companies identified will maintain or expand their market share despite competitive pressures. Third, the conversion of backlog and strong orders into profitable revenue will proceed as planned.
Dell's valuation discount relative to growth rates suggests institutional investors have not fully appreciated the sustainability of server demand. As the company converts its $43 billion backlog into revenue over the next 12-24 months, earnings growth could surprise to the upside, potentially re-rating the stock toward more robust valuation multiples.
Nebius Group's 830% growth is extraordinary but raises questions about profitability and path to sustainable margins. Investors should monitor whether the company can maintain growth rates while achieving positive cash flow and net income.
Vertiv's 28% guidance for 2026 suggests the company sees sustained strength in orders and can commit to multi-year growth targets. This visibility is valuable in a market prone to cyclicality, though thermal and power management is typically more stable than computing hardware cycles.
Looking Forward: The Long Game
The $902 billion AI infrastructure market by 2029 represents a multi-year investment thesis, not a near-term trading opportunity. Companies positioned to supply the compute power, cooling systems, and cloud services that enable AI deployment will benefit from years of steady demand as enterprises and cloud providers continue expanding AI capabilities.
Investors evaluating Dell ($DELL), Nebius Group, and Vertiv Holdings ($VRT) should consider their individual risk tolerance, investment horizon, and conviction regarding sustained AI infrastructure spending. The backlogs, growth rates, and guidance from these three companies collectively suggest the AI infrastructure boom remains in its early stages, potentially creating attractive entry points for long-term equity investors.
