2 ETFs That Are Good Bets To Beat the S&P 500 in 2026

The AI-driven rally has left the S&P 500 well ahead of small caps since end-2022, but the iShares Russell 2000 ETF (IWM) now trades at a P/E of 18.3 versus 28.7 for a Vanguard S&P 500 ETF (IWM ~40% cheaper), supporting a potential rotation into small-cap stocks. The VanEck Semiconductor ETF (SMH) — up ~44% year-to-date and roughly 1,180% over the last decade — trades at a P/E of 39.7 and is concentrated in AI-exposed chip leaders (Nvidia revenue growth accelerated to 62%, TSMC dominant, Broadcom revenue growth ~28%), underpinning expectations that SMH could continue to outperform if the AI cycle persists.

Analysis

Market structure: The AI-led rally concentrates gains in mega-cap chip and platform names (NVDA, TSM, AVGO) while leaving Russell 2000 stocks cheap (IWM P/E ~18.3 vs S&P ETF ~28.7). Winners: chip equipment, foundry services, AI-enabled software small caps; losers: non-AI cyclicals and high-leverage small caps. Broader rotation into IWM would tighten small-cap equity risk premia, raise equity issuance, and pull liquidity from mega-cap concentration trades.

Risk assessment: Key tails are an AI demand shock (enterprise AI capex stalls), a Taiwan/China disruption hitting TSM/TSM supply, or a semiconductor inventory glut from over-capex; any could crush SMH and NVDA in weeks (drawdowns >30%). Short-term (days-weeks) watch earnings and inventory prints; medium (3–12 months) watch capex/supply; long-term (1–3 years) depends on AI adoption rates and regulatory/antitrust action. Hidden dependency: SMH’s performance is NVDA-dominated (single-stock risk) and small-cap beat requires stable liquidity and benign rates.

Trade implications: Tactical overweight small caps (IWM) as a value play and SMH for concentrated AI exposure. Favor pair trades (long IWM / short QQQ or SPY) to capture valuation reversion; use defined-risk options around NVDA/SMH (3–9 month call spreads) to buy upside while selling premium. Time entries in 25–40% tranches over 6–12 weeks, trim into 10–20% outperformance or if 2yr Treasury jumps >50bps in 30 days.

Contrarian angles: Consensus underestimates execution risk at smaller AI adopters—cheap IWM hides credit and liquidity risk; SMH’s growth is priced for near-perfect AI adoption so small misses amplify downside. Historical parallels: 1999–2000 tech concentration then breadth reversal, and 2016–2017 post-breadth recoveries, suggesting a high-probability multi-quarter small-cap catch-up but with episodic volatility. Unintended consequence: rapid small-cap inflows could steepen the curve and push funding costs up, pressuring levered names.

Key Decisions for Investors

• Establish a tactical 2.5% portfolio long in IWM today; scale to 5% if IWM outperforms SPY by +5% within 8 weeks. Use a hard stop at -12% from entry or if Russell 2000 P/E rises above 24.
• Allocate 3% to SMH (or equivalent NVDA/TSM/AVGO basket) via 6–9 month call spreads (bull call spread) targeting 30–60% upside; hedge with a 1% portfolio protection via SMH 6-month 20% OTM puts to limit semiconductor-cycle tail risk.
• Implement a relative-value pair: long IWM vs short QQQ with notional ratio 1:0.5 sized to be delta-neutral to market moves; target 6–12 month reversion, take profits when IWM/QQQ relative outperformance reaches +8–12%.
• Trigger-based risk management: reduce small-cap/SMH exposure by 50% if 2-year Treasury yield increases >50 bps within 30 calendar days or if NVDA quarterly revenue growth decelerates below +30% YoY.