Key Takeaways
- Arista Networks (ANET) received an Outperform rating from Raymond James on Friday, accompanied by a $164 per share price objective.
- The rating elevation reflects growing AI infrastructure needs, particularly inference computing, mixture-of-experts frameworks, and geographically distributed AI systems.
- Approximately 40% of Arista’s revenue originates from AI-related operations, while Meta and Microsoft collectively contribute over 40% of overall sales.
- Raymond James forecasts Oracle may emerge as Arista’s next major client representing 10% or more of total revenue.
- Component availability challenges, potentially stemming from Broadcom semiconductor constraints, may cap 2026 performance but position the company for accelerated expansion in 2027.
Raymond James elevated Arista Networks to an Outperform designation on Friday, establishing a $164 share price objective. The research note, authored by analyst Simon Leopold, highlighted the expanding artificial intelligence infrastructure market as the primary catalyst.
At the time of publication, ANET shares were trading approximately 1.5% lower during the session.
The networking equipment provider currently derives about 40% of its total revenue from AI-related applications. Cloud computing clients contribute an additional 40% to the company’s sales mix. Meta and Microsoft combined account for more than 40% of overall revenue — a notable concentration that underscores Arista’s strategic positioning among major technology infrastructure players.
According to Raymond James, Oracle appears positioned to become the next client surpassing the 10% revenue contribution benchmark, which would further diversify and reinforce the company’s customer foundation.
Evolving AI Computing Patterns Fuel Optimism
The investment firm highlights a transformation in the categories of AI computing workloads impacting network infrastructure. Inference operations and reasoning functions, mixture-of-experts architectures, and expanded distributed AI computing clusters are collectively intensifying the volume and variability of east-west network traffic — the internal data center communications that Arista’s solutions are specifically engineered to optimize.
This variability amplifies the importance of Arista’s network intelligence capabilities, encompassing congestion control mechanisms, RDMA-optimized load distribution, and high-resolution telemetry systems. Leopold emphasizes that these requirements align closely with Arista’s core technological competencies.
A particularly noteworthy application is “scale-across” technology — a methodology for extending AI training infrastructure across wide area networks. While this approach introduces operational complexity, it simultaneously generates fresh revenue opportunities. Raymond James indicates Arista has already secured implementations with Meta and Google utilizing this architecture.
Company leadership previously estimated approximately $1 billion in revenue from scale-across deployments, representing roughly one-third of AI-derived sales. Raymond James projects this figure could reach $2 billion by 2027.
AMD’s market expansion provides additional tailwinds for Arista. The company furnishes networking switches for AMD’s AI hardware ecosystem, meaning AMD’s expanding market presence directly increases demand for Arista’s infrastructure equipment.
Component Availability Presents Near-Term Constraint
The upgraded rating includes a qualification regarding supply chain dynamics. Raymond James identified potential Broadcom chip availability as a limiting factor extending through 2026. While management has not specified which suppliers face challenges, the company has referenced “de-commits” in recent investor communications — terminology indicating postponements rather than order cancellations.
Additional potential constraints include semiconductor fabrication capacity, silicon wafers, optical components, and printed circuit board production. The firm characterizes these as temporal scheduling issues rather than fundamental structural impediments.
Leopold articulated the situation directly: supply chain limitations may restrict upside performance during 2026, however these same constraints could establish conditions for enhanced growth momentum entering 2027.
Arista’s campus networking division is simultaneously generating momentum alongside its AI-backend operations, providing the organization with multiple growth trajectories to pursue.
Raymond James established the $164 price objective concurrent with the Outperform designation, representing an upgrade from its previous Market Perform position.





