Big Tech AI capex keeps rising, but the gains are spreading beyond GPUs. Nvidia, CoreWeave, Dell, Broadcom, Lumentum, Eaton and Vertiv show how AI infrastructure spending is turning into revenue, orders and backlog across chips, cloud, networking, optics, power and cooling.Big Tech AI capex keeps rising, but the gains are spreading beyond GPUs. Nvidia, CoreWeave, Dell, Broadcom, Lumentum, Eaton and Vertiv show how AI infrastructure spending is turning into revenue, orders and backlog across chips, cloud, networking, optics, power and cooling.
AI Infrastructure Stocks 2026: Who Is Actually Benefiting From Big Tech AI Capex?
Key Takeaways
Big Tech AI capex keeps rising, but the gains are spreading beyond GPUs. Nvidia, CoreWeave, Dell, Broadcom, Lumentum, Eaton and Vertiv show how AI infrastructure spending is turning into revenue, orders and backlog across chips, cloud, networking, optics, power and cooling.
Key Takeaways
- Microsoft, Amazon, Alphabet and Meta continue to spend heavily on AI infrastructure and data centers in 2026.
- Nvidia remains a major AI capex beneficiary, but AI cloud, servers, networking and optical infrastructure are now producing measurable growth.
- CoreWeave, Nebius, Dell and Broadcom show some of the clearest evidence of AI spending converting into revenue, orders or backlog.
- Power and cooling are becoming increasingly important as AI data centers run into physical infrastructure constraints.
Big Tech is still pouring capital into artificial intelligence, but the investment story is becoming much broader than Nvidia GPUs.
Microsoft, Amazon, Alphabet and Meta are building new data centers, adding computing capacity and signing long-term infrastructure commitments. At the same time, the companies supplying that buildout are starting to report measurable gains in revenue, orders and backlog.
That makes AI infrastructure stocks one of the most important ways to track whether the AI investment cycle is actually translating into business results.
The key question for investors in 2026 is no longer simply which companies have AI exposure.
It is which companies are already converting AI capex into revenue, orders, backlog and eventually cash flow.
How Much Is Big Tech Spending on AI in 2026?
The scale of AI capital spending remains extraordinary.
Microsoft reported approximately $116 billion in additions to property and equipment for fiscal 2026, up nearly 80% year over year. Microsoft Cloud revenue reached $59.3 billion in its latest quarter, while Azure and other cloud services grew 43%.
Amazon's trailing-12-month purchases of property and equipment reached approximately $173 billion, up more than 60% year over year. The company said much of the increase was driven by AI investments.
AWS revenue rose nearly 37% year over year to $42.2 billion, while long-term contract commitments not yet recognized as revenue reached roughly $496 billion, primarily related to AWS. Amazon also said its AWS AI business had exceeded a $25 billion annual revenue run rate in its latest quarterly filing.
Alphabet spent approximately $80.6 billion on property and equipment during the first half of 2026, more than double the prior-year level. Google Cloud revenue increased 82% to $24.8 billion.
Meta expects 2026 capital expenditures of $130 billion to $145 billion, including large investments in servers, data centers and AI infrastructure.
These numbers establish the size of the AI capex cycle. But they do not tell investors which suppliers are capturing the spending.
For that, the more useful evidence is appearing across AI chips, cloud infrastructure, servers, networking, optics, power and cooling.
Which AI Infrastructure Stocks Are Turning Capex Into Revenue?
The strongest AI infrastructure stocks are increasingly those that can show measurable financial conversion rather than simply describe future AI opportunities.
Four indicators are especially useful: recognized revenue, new orders, backlog and long-term customer commitments.
Several companies now stand out on those measures.
Nvidia and AMD: AI Chip Demand Is Still Growing
Nvidia remains the clearest first-order beneficiary of AI infrastructure spending.
The company reported fiscal Q1 2027 Data Center revenue of $75.2 billion, up 92% year over year.
But one of the more important trends is occurring outside the GPU itself.
Under Nvidia's previous reporting format, Data Center networking revenue increased 199% year over year, compared with 77% growth in Data Center compute.
That suggests the AI buildout is becoming increasingly dependent on the networking infrastructure required to connect large numbers of accelerators.
AMD is also seeing significant AI data center growth.
Its Q2 Data Center revenue reached $6.72 billion, up 107% year over year, while Data Center operating income increased to $2.1 billion.
Large planned GPU deployments with companies including OpenAI, Meta and Anthropic add future demand potential, although those commitments still need to convert into deployed capacity and reported revenue.
For investors searching for AI chip stocks, Nvidia and AMD therefore remain two of the clearest direct beneficiaries of rising AI capex.
CoreWeave and Nebius: AI Cloud Stocks Show Strong Contracted Demand
AI cloud infrastructure is another area where demand is becoming measurable.
CoreWeave reported Q2 revenue of $2.58 billion, up 112% year over year, while revenue backlog reached approximately $104 billion.
The company had around 1.5 GW of active power at the end of the quarter compared with roughly 3.7 GW of contracted power.
That gap matters because it shows how much infrastructure still needs to be built to serve already-contracted demand.
Nebius is showing a similar pattern.
Q2 group revenue increased 454% year over year to $582.3 million, while Nebius AI Cloud revenue grew 514%.
Remaining performance obligations reached approximately $37.5 billion, total customer commitments exceeded $40 billion, and Nebius expects more than $9 billion in customer prepayments during 2026.
These figures make CoreWeave and Nebius particularly important AI cloud stocks to watch because demand is appearing not only in revenue growth but also in contracts and customer prepayments.
The challenge is execution.
Both companies must continue spending heavily on GPUs, power and data centers before much of that contracted demand can become reported revenue.
For more on this part of the AI infrastructure market, MEXC's CoreWeave Q2 2026 earnings analysis examines the company's growth, backlog and capacity expansion in more detail.
Dell and Super Micro: AI Server Stocks Are Converting Orders Into Sales
AI server demand provides another clear indication that hyperscaler capex is reaching downstream suppliers.
Dell reported $16.1 billion in AI server revenue in fiscal Q1 2027, up more than 700% year over year.
AI server orders reached $24.4 billion, and Dell expects approximately $60 billion of AI-optimized server revenue for the full fiscal year.
That makes Dell one of the clearest examples among AI server stocks because the company reports both incoming orders and recognized revenue.
Super Micro is participating in the same cycle.
Fiscal Q4 revenue reached $11.1 billion, compared with $5.8 billion a year earlier, while management said the company generated more than $60 billion of new orders during fiscal 2026.
However, the server market also highlights an important limitation of AI revenue growth.
Margins matter.
Dell's gross margin has declined even as AI server sales surged, while Super Micro has also experienced significant margin volatility.
The AI server opportunity is clearly large, but investors still need to distinguish rapid sales growth from profitable growth.
AI Networking Stocks Are Becoming More Important
Networking is emerging as another major part of AI infrastructure spending.
Large AI clusters require thousands of accelerators to communicate continuously. As cluster sizes increase, network bandwidth becomes increasingly important to overall system performance.
Broadcom provides some of the strongest financial evidence.
Q2 FY2026 AI semiconductor revenue reached $10.8 billion, up 143% year over year, driven by custom AI accelerators and AI networking.
The company expects AI semiconductor revenue of approximately $16 billion in Q3, representing growth of more than 200% year over year.
Arista Networks is also benefiting from stronger demand for high-speed AI fabrics and has introduced networking platforms supporting 1.6 Tbps connectivity.
Arista does not separately disclose AI revenue, so the evidence is less granular than Broadcom's. But its revenue growth and product roadmap still point to networking becoming a larger part of the AI data center investment cycle.
For AI networking stocks, the investment case is increasingly straightforward: more computing capacity requires more bandwidth, faster switches and higher-speed connections between servers.
Lumentum and Coherent: AI Optical Stocks Benefit From Higher Bandwidth
The growth of AI networking is also increasing demand for optical components.
Lumentum reported fiscal Q4 revenue of approximately $1.01 billion, up 109% year over year.
Management highlighted strong demand for technologies including 1.6T optical modules, Near-Packaged Optics, Co-Packaged Optics and high-power lasers.
Coherent is seeing a similar trend.
Its Data Center and Communications revenue reached approximately $1.62 billion in its latest quarter, up around 59% year over year, while the company continues expanding laser production capacity.
These results make optical networking one of the more interesting emerging parts of the AI infrastructure stocks theme.
As AI clusters become larger, simply buying more GPUs is not enough. Those GPUs need increasingly high-speed connections to exchange data efficiently.
That means spending is expanding into optical transceivers, lasers and photonic components.
The latest Lumentum results are particularly important because optical demand is now appearing directly in revenue growth and margins rather than remaining only a future technology story.
AI Data Center Power Stocks Are Seeing Orders and Backlog Rise
AI data centers also require enormous amounts of electricity.
That is creating another category of beneficiaries: electrical equipment and power infrastructure companies.
Eaton reported strong demand across its electrical businesses. Electrical Americas rolling 12-month orders increased 41% organically, while backlog rose 33% year over year.
Its Electrical Global backlog increased more than 100% year over year.
Data centers remain an important source of growth, according to Eaton's latest quarterly earnings release.
GE Vernova is also seeing the AI data center buildout reach the power grid.
Its year-to-date data center orders exceeded $5 billion, more than double its full-year 2025 level, while Electrification equipment backlog increased sharply.
These results show why AI data center stocks now extend well beyond semiconductor companies.
Generating compute is one challenge. Supplying enough electricity to support that compute is becoming another.
Vertiv and Modine Show Why AI Cooling Stocks Matter
AI servers generate large amounts of heat, making cooling and thermal management increasingly important.
Vertiv reported Q2 sales of $3.27 billion, up 24% year over year, while adjusted operating profit increased 51%.
The company also raised its full-year organic sales growth outlook to 30%–32%.
Modine provides an even more direct data center signal.
Its Data Centers segment sales increased 90% year over year, driven by hyperscale customers in North America, while backlog nearly doubled over the previous year.
However, Data Centers gross margin fell sharply as capacity expansion, supply-chain pressure and other costs increased.
That combination captures an important theme across many AI data center infrastructure stocks.
Demand can be exceptionally strong while margins remain under pressure because suppliers are spending heavily to expand capacity at the same time.
Which AI Infrastructure Stocks Have the Strongest Evidence?
Not every stock associated with AI infrastructure has the same level of financial proof.
The strongest current evidence generally comes from companies that can directly connect AI demand with reported revenue, orders or backlog.
Nvidia and Broadcom already report large AI-related revenue streams.
Dell provides both AI server orders and revenue.
CoreWeave and Nebius disclose substantial backlog, RPO and customer commitments.
Lumentum is reporting rapid optical revenue growth and improving profitability.
Eaton provides clear electrical orders and backlog data.
These companies therefore offer more measurable evidence than businesses whose AI exposure is still based primarily on expected future demand.
Meta illustrates the difference from another direction.
Its AI capex is enormous, but the company does not separately disclose direct AI revenue.
Arista clearly has meaningful AI networking exposure, but it does not break out AI-specific sales.
The distinction is important:
A company can have AI exposure without yet being a proven AI capex beneficiary, and it can benefit from AI capex without yet showing strong AI-related revenue conversion.
As the AI trade matures, that difference should matter more.
AI Capex Is Expanding Beyond GPUs
The biggest takeaway from the latest earnings cycle is not that GPU demand is weakening.
It is that AI infrastructure demand is broadening.
Semiconductor companies are still reporting strong data center revenue, but cloud providers are simultaneously building more capacity, server companies are receiving large orders, networking demand is accelerating, optical companies are increasing production, and power and cooling suppliers are reporting stronger backlog.
The latest earnings therefore suggest the AI investment cycle is becoming a much wider data center infrastructure cycle.
This is why searches for AI infrastructure stocks increasingly include companies outside traditional semiconductor categories.
The companies that benefit most from the next stage may be those solving the physical bottlenecks created by larger AI clusters, particularly networking bandwidth, optical connectivity, electricity supply and cooling.
What Are the Main Risks for AI Infrastructure Stocks?
Rapid AI capex growth also creates significant risks.
Overbuilding is one of the biggest.
Hyperscalers and AI cloud companies are making long-term commitments and building capacity years ahead of expected demand. If AI adoption slows, today's shortages could eventually become excess infrastructure.
Customer concentration is another issue.
CoreWeave generates a large share of revenue from a limited number of major customers. Large contracts improve visibility but can create significant counterparty exposure.
Margin pressure also needs to be monitored.
Dell is generating record AI server revenue while gross margins have declined. Modine's data center business is expanding quickly, but aggressive capacity investment has pressured profitability.
Finally, many AI infrastructure companies need substantial capital to support growth.
That means investors should compare revenue growth with capex, financing costs, margins and cash flow rather than relying on headline orders alone.
What Should Investors Watch in AI Infrastructure Stocks?
The most useful way to evaluate AI infrastructure stocks is to follow how demand moves through the financial statements.
Start with AI capital spending and customer commitments.
Then look for new orders and backlog.
The next step is whether those orders become recognized revenue.
Finally, evaluate whether revenue growth produces stronger margins and cash flow.
This framework helps separate companies benefiting from a strong AI narrative from companies already capturing measurable economic value.
In 2026, the AI infrastructure story is no longer only about who can sell the most GPUs.
It is increasingly about which companies can solve the next constraint in the AI data center buildout and turn that demand into profitable growth.
Explore AI Infrastructure and Stock-Related Markets on MEXC
Investors following AI infrastructure stocks can explore U.S. equity markets through MEXC RealStocks, including companies exposed to semiconductors, AI cloud infrastructure, data centers and related technology themes.
MEXC also provides access to U.S. stock futures and other traditional-asset markets where available.
Product availability may vary by region.
FAQ
What are AI infrastructure stocks?
AI infrastructure stocks are companies that provide the hardware and physical systems required to build and operate AI computing capacity. These can include semiconductor companies, AI cloud providers, server manufacturers, networking and optical suppliers, electrical equipment companies and data center cooling providers.
Which stocks benefit from AI capex?
Companies currently showing measurable benefits from AI capex include Nvidia, Broadcom, Dell, CoreWeave, Nebius, Lumentum, Eaton and Vertiv. The strength of the evidence differs by company and can include AI revenue, orders, backlog or long-term customer commitments.
What are AI data center stocks?
AI data center stocks include companies involved in computing infrastructure, servers, networking, optical connectivity, power systems, cooling and data center construction. Examples span companies such as Nvidia, Dell, Broadcom, Lumentum, Eaton and Vertiv.
Are AI infrastructure stocks only semiconductor stocks?
No. Semiconductor companies remain important, but the AI infrastructure market also includes AI cloud providers, server companies, networking suppliers, optical component manufacturers, power equipment companies and cooling specialists.
Why are networking and optical stocks benefiting from AI?
Larger AI clusters require more bandwidth to connect GPUs and servers. This increases demand for high-speed switches, optical transceivers, lasers and other networking components.
What should investors watch in AI infrastructure stocks?
The most useful indicators include AI-related revenue, new orders, backlog, remaining performance obligations, capacity utilization, gross margins, capex and cash flow. Strong AI demand matters most when companies can convert it into profitable revenue.
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