Analyst Insights
Analyst sentiment across the AI Infrastructure Portfolio remains broadly bullish, reinforcing the strength of its long-term thesis. Most firms covering the portfolio’s holdings continue to raise targets and earnings expectations, citing the durability of AI infrastructure spending and expanding use cases across semiconductors, data centers, and power systems.
NVIDIA (NVDA)
Analysts maintain strong buy consensus with targets continuing to climb following NVIDIA’s Blackwell architecture rollout and hyperscaler demand. HSBC recently upgraded the stock, while multiple firms, including Baird, Evercore ISI, and Stifel, raised price targets ahead of upcoming earnings. The Street highlights NVIDIA’s unmatched position in AI training hardware and expanding footprint into networking and software ecosystems.
Micron (MU)
Sentiment remains bullish, with analysts pointing to rising DRAM and HBM prices and strengthening gross margins. Several houses revised FY2025–2026 EPS estimates upward, emphasizing Micron’s leadership in high-bandwidth memory used in AI workloads. Despite China market exit headlines, analysts view its strategic repositioning toward Western hyperscalers as a net positive for long-term growth.
Broadcom (AVGO)
Analysts are optimistic on Broadcom’s custom accelerator and networking exposure, seeing continued benefits from AI data-center buildouts and chip diversification. Forecasts emphasize stable cash flow and margin durability even as integration of recent acquisitions continues.
ASML (ASML)
Analyst consensus remains positive, focusing on its strong EUV order backlog and 2026 growth trajectory. Most firms see near-term volatility as temporary, with ASML positioned as an irreplaceable supplier for advanced AI chip fabrication.
TSMC (TSM)
Analysts raised guidance and targets after record quarterly results and upgraded AI-driven revenue forecasts. The company’s aggressive capex and advanced-node ramp reinforce its dominance in the foundry space, with buy ratings emphasizing multi-year visibility into AI semiconductor demand.
Arista Networks (ANET)
Analysts remain constructive on Arista’s role in AI networking infrastructure, forecasting multi-year growth from the 800G and 1.6T Ethernet upgrade cycles. Competitive dynamics are noted, but demand visibility remains strong, particularly among cloud providers.
Super Micro Computer (SMCI)
Views are mixed but trending positive: analysts acknowledge massive revenue expansion from AI server demand while cautioning on margin compression and rising competition. Consensus expectations continue to rise as AI infrastructure scaling remains in full swing.
Vertiv (VRT)
Coverage remains decisively positive, citing leadership in high-density cooling and power systems for AI data centers. Analysts expect continued upward estimate revisions through 2026 as demand for liquid cooling accelerates across hyperscaler facilities.
Eaton (ETN)
Analyst outlook is constructive, emphasizing steady earnings growth from grid modernization and data-center electrification. Eaton is viewed as a consistent compounder within the industrial sector, benefiting from overlapping AI and energy transition themes.
Summary:
Overall, Wall Street consensus validates the AI Infrastructure Portfolio’s structure combining high-growth AI enablers (NVDA, TSM, MU, ASML) with stable infrastructure leaders (VRT, ETN). Analysts view these companies as foundational beneficiaries of the multi-trillion-dollar AI investment cycle, maintaining long-term buy ratings across nearly all holdings.