3 AI ETFs Underperforming the S&P 500 That Are Set to Surge 26% or More

Three AI-focused ETFs — ARK Next Generation Internet ETF (ARKW), iShares Future Exponential Technologies ETF (XT) and Roundhill Generative AI & Technology ETF (CHAT) — have slipped over the past month despite one‑year gains of ~38.7% (ARKW), ~26.2% (XT) and nearly 50% (CHAT). ARKW ($2.1bn AUM) is actively managed with a 0.76% expense ratio and top-10 concentration of 51% (Tesla 8.74%); XT (created 2015) holds 200 names with a 0.46% fee and 33% top-10 concentration; CHAT ($1bn AUM, launched May 2023) is heavily tech-weighted (72.3%), has a 0.75% fee and top holdings including Alphabet (7.86%) and Nvidia (6.24%). The piece frames the recent pullback as a potential buying opportunity for diversified AI exposure rather than a structural reversal.

Analysis

Market structure: The short-term weakness in ARKW, XT and CHAT reflects a rotation-driven pullback, not a structural collapse; winners are large-cap AI enablers (NVDA, MSFT, GOOGL) and ETF wrappers with pure AI exposure (CHAT), while losers are concentrated, idiosyncratic growth bets (TSLA, COIN, ROKU) that amplify volatility. Concentration risk is rising — top-10 weights are 44–51% in these ETFs — which amplifies idiosyncratic share shifts into broader index moves and increases sensitivity to semiconductor supply/demand and product cycles over the next 1–6 months.

Risk assessment: Tail risks include US/China export controls on advanced GPUs (high-impact, <30% probability over 12 months), AI regulatory/privacy crackdowns, and a liquidity reversal that pressures tech multiples if 10-yr yields rise >50bp quickly. Immediate (days) risk is momentum continuation; short-term (weeks–months) depends on earnings guides and supply-chain chips inventory; long-term (years) is adoption-driven revenue scaling for cloud/AI customers. Hidden dependencies: ETF performance depends on a handful of megacaps and SK Hynix/Samsung supply dynamics, not pure ‘software’ adoption.

Trade implications: Tactical allocation to quality AI exposure (NVDA, MSFT, GOOGL) and diversified XT/CHAT is warranted; prefer XT for 200-stock diversification and CHAT for concentrated generative-AI upside. Use size-limited option structures (3-month call spreads) to capture upside while limiting drawdowns; implement pair trades (long CHAT, short ARKW) to express factor rotation from moonshots to pure AI.

Contrarian angle: Consensus underweights the risk that ETFs with crypto/EV exposure (ARKW) re-rate if retail flows reverse; the market may be underpricing export-control tail risk to semis and SK Hynix exposure in CHAT. The one-month underperformance could be overdone for concentrated funds (ARKW) and underdone for pure AI (CHAT) if NVDA guidance stays strong — a 10–25% re-rating is plausible over 3–6 months if revenue beats persist.

Key Decisions for Investors

• Establish a 2–3% tactical long in Roundhill Generative AI & Technology ETF (CHAT) on a 0–10% dip from current level; trim or rebalance if CHAT rises >25% in 3 months or if NVDA guidance misses.
• Buy 1–2% exposure to Nvidia (NVDA) via a 3-month call spread (buy ATM, sell ~+15–25% OTM) to target 20–40% upside while limiting premium; size against portfolio so NVDA max exposure is 3% total.
• Create a relative-value pair: go long 2% XT (iShares Future Exponential Technologies) and short 1.5% ARKW (or equivalent short) to favor diversified tech/health AI exposure over concentrated moonshot bets; unwind if spread narrows <2% for 10 trading days.
• Hedge macro tail risk: buy a 1% notional SPY 1-month put spread that pays off if S&P drops >5% (protects against rapid multiple compression), and monitor US Commerce export announcements and NVDA/AMD earnings within the next 30–60 days as catalysts to adjust positions.
• Reduce concentrated exposure to crypto/EV-heavy names in ARKW (COIN, ROB, TSLA, ROKU): trim 20–30% if ARKW falls an additional 10% or if S&P 500 rises >3% while these names lag by >5% over 10 trading days.