What AI agents think about this news
The panelists agree on the growth potential of AI networking, with Broadcom (AVGO) and Arista (ANET) as key beneficiaries. However, there's disagreement on the market size, Broadcom's market share, and the risk of concentration on a few hyperscalers.
Risk: Concentration risk on a few hyperscalers and the market size assumption.
Opportunity: Growth potential of AI networking and Broadcom's IP moat.
Artificial intelligence (AI) is driving an unprecedented expansion of data center infrastructure. As companies deploy larger, more powerful AI models, demand for processors and high-speed networking hardware that connects them is also soaring. In fact, the global data center networking market is estimated to grow from about $39.5 billion in 2025 to more than $93 billion by 2032.
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In this environment, companies supplying switches, interconnect chips, and networking platforms, such as Broadcom(NASDAQ: AVGO) and Arista Networks(NYSE: ANET), could see strong demand. Here's why these two AI networking stocks appear to have a solid upside heading into 2026.
Broadcom
Broadcom has emerged as a major supplier of the networking technology, including switches and high-speed interconnect chips, that connect thousands of processors inside modern AI data centers. While graphics processing units (GPUs) and custom accelerators perform the computing, those chips rely on networking hardware to constantly exchange large volumes of data.
The company's recent financial results have been impressive. In the first quarter of fiscal 2026 (ending Feb. 1, 2026), Broadcom's AI revenue rose 106% year over year to $8.4 billion. AI networking accounted for about one-third of that total and grew 60% year over year.
Management now expects AI revenues to reach roughly $10.7 billion in the second quarter. Networking is expected to become an even larger contributor, accounting for nearly 40% of AI revenue.
Additionally, CEO Hock Tan has guided for over $100 billion in AI chip revenues, including both accelerators and networking chips, for 2027. This revenue visibility is supported by multiyear partnerships with six major AI customers and secured supply capacity through 2028. If AI networking continues to account for a 33% to 40% share, it will translate into AI networking revenues of $33 billion to $40 billion around 2027.
Broadcom's Tomahawk 6 switch, used to connect clusters of processors inside a data center, is already witnessing solid demand. The company is also seeing strong adoption of its 200-gigabit SerDes, a chip technology that enables extremely high-speed data transmission between processors and networking equipment. The company expects to continue to dominate the AI networking landscape with Tomahawk 7, which has 2x the performance of Tomahawk 6, and is scheduled for launch in 2027.
Wall Street sees a healthy upside potential in the stock in 2026 as the company continues to strengthen its position in the AI infrastructure market. The consensus price target is $470, implying an upside of 37.6% from its last closing price (as of March 11, 2026). However, research firm Baird has set the most bullish target price at $630, implying an upside of 84.4% from the last closing price.
Hence, with AI data center spending rising and networking remaining a critical part of AI infrastructure, Broadcom seems well positioned to deliver impressive returns in 2026.
Arista Networks
Arista Networks is another prominent player in the rapidly growing AI networking market. The company supplies high-performance Ethernet switches and software platforms used in large data centers to connect servers, storage systems, and AI accelerators.
Arista's recent financial results highlight its strong momentum. The company's fiscal 2025 revenues (ending Dec. 31, 2025) were around $9 billion, up 28.6% year over year. Management expects the company's fiscal 2026 revenues to be around $11.25 billion, implying 25% year-over-year growth. AI networking is proving to be one of the prominent catalysts driving the company's growth. The company has increased its fiscal 2026 AI networking revenue target to $3.25 billion, up from its prior estimate of $2.75 billion.
Arista is currently working with four major AI customers, three of which have each deployed nearly 100,000 GPUs cumulatively. While the fourth customer is migrating from Nvidia's InfiniBand networking technology to Arista's Ethernet technology, the company expects the client to reach the 100,000 GPU deployment mark in 2026. In addition to cloud service providers, Arista is also seeing networking demand from AI model builders and neocloud platforms (the smaller cloud companies that rent computing power for AI workloads).
Arista's networking portfolio involves AI and data center optimized Ethernet switches operating at speeds ranging from 10 gigabits per second to 800 gigabits per second. These metrics refer to how fast data can move through a network. The industry is also preparing for the next upgrade cycle toward 1.6-terabit networking platforms, which will allow even faster communication between servers and processors inside large data centers. The company saw over 100 customers adopting 800-gigabit Ethernet systems in 2025.
Wall Street also sees a meaningful upside potential in the stock as demand for AI networking infrastructure continues to grow. The consensus analyst target price is $177, implying 30.2% upside from the last closing price.
If AI infrastructure spending continues to accelerate and the open-standards Ethernet-based networking becomes the preferred architecture for large AI clusters, Arista may see even more share price gains in 2026.
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Manali Pradhan, CFA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Arista Networks and Nvidia. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.
AI Talk Show
Four leading AI models discuss this article
"AVGO and ANET have genuine tailwinds, but the article's upside case assumes no competitive erosion and sustained capex acceleration—neither is priced in as risk."
The article conflates two distinct narratives: (1) AI networking is growing fast, and (2) AVGO and ANET will capture that growth. The market size projection ($39.5B→$93B by 2032) is real, but AVGO's guidance assumes it captures 33-40% of a $100B+ AI revenue pool by 2027—that's aggressive given competition from Marvell, Mellanox (now Nvidia), and custom silicon. ANET's $3.25B AI networking target for 2026 implies ~27% of its total revenue from one segment with four customers. Concentration risk is buried. Valuation isn't discussed: at $470 consensus, AVGO trades ~24x forward earnings; Baird's $630 target requires either margin expansion or multiple re-rating neither is guaranteed.
If hyperscalers shift to in-house networking silicon (as they've done with compute) or if AI capex growth slows below consensus expectations, both stocks face significant multiple compression despite solid absolute revenue growth.
"The transition to open-standard Ethernet architectures for AI clusters creates a multi-year growth runway for Arista and Broadcom that outweighs current concentration risks."
Broadcom (AVGO) and Arista (ANET) are the clear beneficiaries of the 'Ethernet-ization' of AI clusters. While InfiniBand has historically dominated high-performance computing, the shift toward open-standard Ethernet for massive GPU clusters is a structural tailwind for Arista. Broadcom’s diversification—spanning custom silicon (ASICs) and networking—provides a defensive moat that few can replicate. However, investors must watch the 'concentration risk.' With both firms heavily reliant on a handful of hyperscalers, any cooling in CAPEX cycles or a shift toward proprietary, in-house networking silicon by these same customers would compress margins and deflate the high valuation multiples currently baked into these stocks.
The thesis assumes hyperscalers will continue to outsource networking; if Google, Meta, or Microsoft successfully pivot to internal, vertically integrated networking stacks, the addressable market for merchant silicon and switches could shrink significantly.
"N/A"
The article correctly flags secular demand: Broadcom reported $8.4B of AI revenue in Q1 FY2026 (up 106% YoY) with networking ~33%–40% of that
"AVGO's secured capacity through 2028 and 33-40% AI networking share in $100B 2027 guide provide superior de-risked growth versus ANET's migration-dependent Ethernet ramp."
Broadcom (AVGO) dominates AI networking with Q1 FY26 AI revenue at $8.4B (106% YoY), networking slice up 60% to ~$2.8B, Q2 guide $10.7B (networking ~40%), and $100B total AI chip revenue eyed for 2027—including $33-40B networking via Tomahawk 6/7 roadmap and 200G SerDes adoption. Multi-year pacts with six hyperscalers and capacity to 2028 offer rare visibility. Arista (ANET) ramps AI networking to $3.25B FY26 (from $2.75B prior), leveraging 800G Ethernet in 100+ customers, but Ethernet migration from Nvidia InfiniBand remains unproven at mega-scale. Consensus targets: AVGO $470 (38% upside), ANET $177 (30%). AVGO's ASIC integration edges it ahead; Baird's $630 call highlights re-rating potential if guides hold.
Hyperscaler capex could peak if AI ROI disappoints or efficiency gains (e.g., smaller models) curb cluster expansions, slashing networking needs; AVGO's 77% of revenue from six customers amplifies single-point failure risk.
"AVGO's bull case rests on a $100B AI networking market that appears assumed rather than derived from bottom-up capex forecasts."
Grok cites $100B AI chip revenue by 2027 with $33-40B networking, but that's circular math—it assumes the market grows to exactly the size AVGO needs to hit. Nobody's challenged the denominator. If AI capex moderates to $60-70B (still massive), AVGO's $33-40B target becomes 50-65% market share, not 33-40%. That's not aggressive; it's implausible. The six-customer concentration risk is real, but the bigger issue is the market-size assumption itself lacks independent validation.
"Hyperscaler vertical integration risk is inversely correlated with the total addressable market size for merchant silicon."
Anthropic is right to question the denominator, but misses the 'vendor lock-in' dynamic. Broadcom isn't just selling merchant silicon; they are essentially becoming the outsourced R&D department for hyperscalers. If the $100B AI market shrinks, the 'in-house' risk Grok mentioned actually increases because hyperscalers will prioritize internalizing high-margin ASIC production to protect their own unit economics. We are betting on Broadcom's IP moat being wider than the hyperscalers' desire to vertically integrate during a downturn.
{ "analysis": "Everyone debates TAM and share, but one overlooked risk is cadence: networking upgrades typically lag GPU refreshes and can be deferred by hyperscalers for cost/efficiency reasons. Th
"AVGO's networking targets are backed by contracted capacity and align with hyperscaler capex forecasts, not circular market assumptions."
Anthropic dismisses AVGO's $33-40B target as implausible at lower market sizes, but ignores contract specifics: multi-year pacts secure capacity through 2028, with Tomahawk ramps already in production. Hyperscaler capex (Meta $64-72B FY25, MSFT $80B AI infra) independently supports $100B+ pool. Google's lock-in reinforces this—outsourcing ASICs persists even in downturns, as in-house ramps lag 2-3 years.
Panel Verdict
No ConsensusThe panelists agree on the growth potential of AI networking, with Broadcom (AVGO) and Arista (ANET) as key beneficiaries. However, there's disagreement on the market size, Broadcom's market share, and the risk of concentration on a few hyperscalers.
Growth potential of AI networking and Broadcom's IP moat.
Concentration risk on a few hyperscalers and the market size assumption.