Motley Fool Data: Why AI Infrastructure Players Could Be the Next Big Stock Market Winners

Motley Fool's 2026 AI Investor Outlook reports most AI investors plan to hold or add positions, supporting continued interest in AI-related equities. The article spotlights Hewlett Packard Enterprise as a value-oriented AI infrastructure play — six of the top 10 supercomputers are HPE systems and the stock trades near 8.0x forward earnings and 0.9x trailing sales — and Schneider Electric (OTC: SBGSY) as a critical provider of power distribution and cooling with roughly $155 billion market capitalization and about $42 billion in annual sales used across the 10 largest cloud/AI operators. It contrasts these steady infrastructure opportunities with the outsized three‑year gains of hardware names (Super Micro +231%, Nvidia +1,066%), implying investors may rotate into less-hyped, fundamentals-driven suppliers in the AI supply chain.

Analysis

Market structure: The AI hardware boom concentrates benefit to GPU designers (NVDA) and system integrators (HPE, SMCI) while power/cooling suppliers (Schneider Electric/OTC: SBGSY) capture recurring, less-cyclical revenue. Expect pricing power for Nvidia to persist near-term as demand outstrips wafer/GPU assembly lead times (3–6 months) while systems vendors compete on integration, services and margin capture; HPE’s 8x forward P/E and 0.9x sales imply market is pricing slower growth relative to NVDA’s premium. Hyperscaler procurement cycles (quarterly to semi-annual) will create lumpy order flows that favor vertically integrated suppliers with capital-light service models.

Risk assessment: Tail risks include US export controls to China tightening (reducing addressable market >10% revenue for NVDA/HPE), a rapid GPU supply normalization that collapses prices (>20% downside in ASPs), or an economic slowdown that delays hyperscaler capex by 6–12 months. Immediate (days) risk: earnings/guide shocks; short-term (weeks–months): order cadence and inventory corrections; long-term (years): software optimization reducing GPU demand per model. Hidden dependencies: HPE’s growth is correlated to Nvidia GPU availability and cloud customers’ willingness to internalize AI infrastructure; Schneider is exposed to electricity prices and industrial supply chains.

Trade implications: Tactical allocations: establish size-constrained longs in HPE (target 12–18 month upside 30–50%) and Schneider (SBGSY via ADR/European listing, beta hedge for power-infrastructure exposure) while using options to cap downside on NVDA exposure. Pair trade: long HPE (2–3% NAV) / short SMCI (1–2% NAV) as relative-value—HPE = cheap, SMCI = more exposed to inventory and cyclicality. Use 3–6 month NVDA call spreads (buy ATM, sell +20% strike) to express upside while funding premium; buy 1–3% NAV protective puts on HPE if it breaks below $X threshold (set based on current price).

Contrarian angles: Consensus overweights NVDA; investors underappreciate second-order winners—power, cooling, and services (Schneider, HPE) where margins are steadier and multiples compressed. The market may be underpricing inventory and integration risk at high-multiple assembler SMCI; a 10–25% correction in link-stock prices on order slowdowns is plausible. Historically (2010s hardware cycles), peripheral suppliers outperformed during mid-cycle cash generation; if GPU supply normalizes, rotate 3–5% from NVDA call exposure into Schneider/HPE within 3–6 months.

Key Decisions for Investors

• Establish a 2–3% NAV long position in HPE (NYSE: HPE) within 2–6 weeks, scale 50% now and add on any >10% pullback; target 30–50% upside over 12–18 months, trim to take profits if forward P/E approaches 12 or guidance disappoints.
• Open a 1–2% NAV long in Schneider Electric exposure (OTC: SBGSY or Paris listing: SU) to capture durable power/cooling demand; enter on up to 8% weakness or allocate immediately if total return target is +25% over 12–24 months, hedge 30% FX risk if EUR moves >3% vs USD.
• Implement a pair trade: long HPE (2% NAV) / short SMCI (1–2% NAV) to exploit relative valuation and inventory risk; rebalance if spread compresses to <5% absolute or if SMCI reports stronger-than-expected enterprise orders.
• Express bullish NVDA view via 3–6 month call spreads: buy near-ATM calls and sell +20% strikes to limit premium (size 0.5–1% NAV); alternatively, sell covered calls on existing NVDA holdings with 1–3 month expiries to monetize high IV, and avoid naked long exposure >1% NAV.
• Set specific risk triggers to act: reduce infra longs by 50% if hyperscaler capex guidance is cut by >15% or if US export controls expand to include HBM/GPU interconnects; add to positions if order books show >20% YoY growth for two consecutive quarters.