2026 AI Infrastructure Stocks: Who Truly Benefits from Big Tech's AI Capital Expenditure?

Key Takeaways

Big Tech's AI capital expenditures continue to grow, but the beneficiaries have expanded beyond GPUs. Nvidia, CoreWeave, Dell, Broadcom, Lumentum, Eaton, and Vertiv are showing how AI infrastructure spending translates into revenue, orders, and backlog across chips, cloud, networking, optical communications, power, and cooling.

Key Takeaways

• Microsoft, Amazon, Alphabet, and Meta continue to invest heavily in AI infrastructure and data centers in 2026.
• Nvidia remains one of the most direct beneficiaries of AI capital expenditures, but AI cloud, servers, networking, and optical communications are also showing clear growth.
• CoreWeave, Nebius, Dell, and Broadcom provide some of the clearest evidence of AI spending converting into revenue, orders, and backlog.
• As AI data centers face physical infrastructure constraints, the importance of power and cooling is rising rapidly.

Big Tech continues to pour substantial capital into artificial intelligence, but the overall investment theme has moved far beyond Nvidia GPUs. Microsoft, Amazon, Alphabet, and Meta are building new data centers, expanding compute capacity, and signing long-term infrastructure commitments. Meanwhile, companies supplying the equipment and services for these builds are beginning to show measurable growth in revenue, orders, and backlog in their earnings reports. As a result, AI infrastructure stocks have become one of the key ways to observe whether the AI investment cycle is truly translating into business results. In 2026, the question investors should really ask is no longer just which companies have AI exposure. More importantly, it's which companies have already begun converting AI capital expenditures into revenue, orders, backlog, and ultimately cash flow.

How Much Are Big Tech Companies Actually Spending on AI Capex in 2026?

The scale of AI capital expenditures remains staggering. Microsoft's new property and equipment additions for FY2026 are projected to reach approximately $116 billion, up nearly 80% year-over-year. In the latest quarter, Microsoft Cloud revenue reached $59.3 billion, with Azure and other cloud services growing 43%. Amazon's property and equipment purchases over the past 12 months reached approximately $173 billion, up more than 60% year-over-year. The company stated that a significant portion of this growth is driven by AI investments. AWS revenue grew nearly 37% year-over-year to $42.2 billion, with long-term contract commitments not yet recognized as revenue reaching approximately $496 billion, primarily related to AWS. Amazon also noted in its latest quarterly filing that its AWS AI business has surpassed a $25 billion annualized revenue run rate. Alphabet invested approximately $80.6 billion in property and equipment capital expenditures in the first half of 2026, more than doubling year-over-year. Google Cloud revenue grew 82% to $24.8 billion. Meta, meanwhile, expects 2026 capital expenditures to reach between $130 billion and $145 billion, including substantial investments in servers, data centers, and AI infrastructure. These figures illustrate the scale of the AI capex cycle. But they don't tell investors where these funds ultimately flow to suppliers. The truly valuable answers are emerging in the earnings reports across AI chips, AI cloud, servers, networking, optical communications, power, and cooling.

Which AI Infrastructure Stocks Are Converting Capex into Revenue?

AI infrastructure stocks truly worth watching increasingly need to deliver measurable financial results, not just describe future AI opportunities. Four metrics deserve particular attention: recognized revenue, new orders, backlog, and long-term customer commitments. Several companies are already providing strong evidence on these metrics.

Nvidia and AMD: AI Chip Demand Continues to Grow

Nvidia remains one of the most direct first-tier beneficiaries of AI infrastructure spending. Data Center revenue for FY2027 Q1 reached $75.2 billion, up 92% year-over-year. But a trend more noteworthy than the GPU numbers themselves is this: according to Nvidia's previous disclosure method, Data Center networking revenue grew 199% year-over-year, outpacing the 77% growth in Data Center compute. This indicates that AI infrastructure buildouts are increasingly dependent on the networking equipment required to connect large numbers of accelerators. AMD is also beginning to convert AI data center demand into actual revenue. Second-quarter Data Center revenue reached $6.72 billion, up 107% year-over-year, with Data Center operating income reaching $2.1 billion. Large-scale GPU deployment plans from customers like OpenAI, Meta, and Anthropic provide additional future demand, but these commitments still need to be further converted into actual deployments and reported revenue. For investors searching for AI chip stocks, Nvidia and AMD remain among the companies most directly benefiting from AI capital expenditures.

CoreWeave and Nebius: AI Cloud Stocks Show Strong Signed Demand

AI cloud infrastructure is another area where demand is becoming highly quantifiable. CoreWeave's second-quarter revenue reached $2.58 billion, up 112% year-over-year, with revenue backlog reaching approximately $104 billion. As of quarter-end, the company had approximately 1.5 GW of energized power capacity, but total contracted power capacity reached approximately 3.7 GW. This gap is significant because it reflects how much additional infrastructure CoreWeave needs to build to meet already-signed customer demand. Nebius shows a similar picture. Second-quarter group revenue grew 454% year-over-year to $582.3 million, with Nebius AI Cloud revenue up 514%. Remaining performance obligations reached approximately $37.5 billion, with total customer commitments exceeding $40 billion. The company expects customer prepayments to exceed $9 billion in 2026. This makes CoreWeave and Nebius among the AI cloud stocks worth watching, as they not only have revenue growth but also provide more direct evidence of demand through contracts and customer prepayments. However, execution remains the biggest challenge. Both companies must continue investing heavily in GPUs, power, and data centers to convert most of their signed demand into reported revenue. For a deeper look at this layer of the AI infrastructure market, refer to MEXC's CoreWeave Q2 2026 Earnings Analysis.

Dell and Super Micro: AI Server Stocks Are Converting Orders into Sales

AI server demand also provides clear evidence of hyperscaler capital expenditures flowing through to downstream suppliers. Dell's FY2027 Q1 AI server revenue reached $16.1 billion, up more than 700% year-over-year. AI server orders reached $24.4 billion, and Dell now expects full-year AI-optimized server revenue of approximately $60 billion. This makes Dell one of the most representative AI server stocks currently, as the company discloses both new orders and recognized revenue. Super Micro is also participating in this infrastructure cycle. FY2026 Q4 revenue reached $11.1 billion, up from $5.8 billion in the same period last year, and management indicated that full-year FY2026 new orders exceeded $60 billion. But the server market also highlights an important limitation of AI revenue growth. Profitability still matters. Even with significant AI server revenue growth, Dell's gross margins declined, and Super Micro's margin fluctuations have been more pronounced. The AI server market is indeed massive, but investors still need to distinguish between rapid sales growth and genuine profit growth.

The Importance of AI Networking Stocks Is Rising

Networking equipment is becoming another key focus of AI infrastructure spending. Large AI clusters require thousands of accelerators to continuously exchange data. As cluster sizes grow, network bandwidth itself can become a limiting factor for the entire system. Broadcom provides very clear financial evidence. FY2026 Q2 AI semiconductor revenue reached $10.8 billion, up 143% year-over-year, driven primarily by custom AI accelerators and AI networking. The company expects Q3 AI semiconductor revenue of approximately $16 billion, up more than 200% year-over-year. Arista Networks is also benefiting from demand for high-speed AI fabrics and has launched next-generation networking platforms supporting 1.6 Tbps connections. Arista does not separately disclose AI revenue, so its evidence is less granular than Broadcom's. However, its revenue growth and product positioning still indicate that networking is becoming an increasingly important part of the AI data center investment cycle. For AI networking stocks, the investment thesis is becoming more direct: more compute requires more bandwidth, faster switches, and higher-speed connections between servers.

Lumentum and Coherent: AI Optical Communications Stocks Benefit from Higher Bandwidth

Growing AI networking demand is also driving higher demand for optical components. Lumentum's FY2026 Q4 revenue reached approximately $1.01 billion, up 109% year-over-year. Management continues to emphasize strong demand for 1.6T optical modules, Near-Packaged Optics, Co-Packaged Optics, and high-power lasers. Coherent shows a similar trend. Latest-quarter Data Center and Communications revenue reached approximately $1.62 billion, up about 59% year-over-year, with the company continuing to expand laser production capacity. This makes optical communications an increasingly important segment within the AI infrastructure stock theme. As AI clusters grow larger, simply adding more GPUs is no longer sufficient. These GPUs also require higher-speed connections to exchange data effectively. As a result, capital expenditures continue to spread toward optical transceivers, lasers, and photonic components. Lumentum's latest earnings report is particularly significant because optical communications demand is now being reflected directly in revenue and margins, rather than remaining a future technology story.

Orders and Backlog Are Growing for AI Data Center Power Stocks

AI data centers also require enormous amounts of electricity. This creates another category of beneficiaries: power equipment and energy infrastructure companies. Eaton's latest earnings report shows strong demand in its electrical business. Electrical Americas orders grew organically 41% over the past 12 months, with backlog up 33% year-over-year. Electrical Global backlog grew more than 100% year-over-year. According to Eaton's latest quarterly report, data centers remain one of the company's key growth drivers. GE Vernova is also beginning to see AI data center construction demand flow through to the grid. Year-to-date data center orders have exceeded $5 billion, more than double the full-year 2025 level, and Electrification equipment backlog has also grown significantly. These figures show that AI data center stocks are no longer just semiconductor companies. Generating compute power is one challenge; providing enough electricity to support that compute is another, more practical constraint.

Vertiv and Modine Explain Why AI Cooling Stocks Deserve Attention

AI servers generate massive amounts of heat, making cooling and thermal management increasingly important. Vertiv's Q2 revenue reached $3.27 billion, up 24% year-over-year, with adjusted operating income up 51% year-over-year. The company also raised its full-year organic sales growth guidance to 30%–32%. Modine provides more direct data center signals. Data Centers segment revenue grew 90% year-over-year, driven primarily by North American hyperscale customers, with backlog nearly doubling year-over-year. However, Data Centers gross margins declined notably, due to capacity expansion, supply chain pressures, and increased costs. This highlights a common characteristic across many AI data center infrastructure stocks. Demand can be extremely strong, but margins may still face pressure as companies simultaneously expand capacity.

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