AI could be revolutionary, but don't ‘lose your diversification,' this wealth advisor says

Eric Diton of The Wealth Alliance advocates maintaining portfolio diversification despite strong interest in AI, warning that regulation or unexpected competitors could derail concentrated tech bets. He is broadly bullish, arguing AI will increase corporate profitability as companies become more efficient, while noting recent market action: the Nasdaq fell almost 2% in November and was briefly down nearly 8% from October, U.S. large caps are up over 16% in 2025, the iShares MSCI Emerging Markets ETF (EEM) has risen nearly 30% YTD, health-care has climbed ~8% in one month (16% over three months) and utilities are up more than 19% in 2025. Diton recommends diversifying into emerging markets, health care and utilities as areas to capture AI-driven gains while managing risk.

Analysis

Market structure: Winners include AI infrastructure and systems integrators (semiconductor vendors like AVGO and data/analytics providers like PLTR), utilities (XLU) from rising power demand, and EM equities (EEM) from a weaker USD. Losers are high-valuation pure‑play AI names if revenue growth lags or regulation rises; pricing power shifts to incumbents that can monetize AI quickly. Cross‑asset effects: stronger corporate profitability should tighten credit spreads and lift IG credit, depress the dollar (supporting EM), raise base‑metal and power prices, and keep IV elevated in AI small‑caps.

Risk assessment: Tail risks include a binding US/EU/China AI regulatory regime (10–20% in 12 months) or a surprise Chinese competitor capturing cloud stack share (15% market share shock scenario). Immediate (days) risks: headline-driven volatility; short term (weeks–months): earnings/guide beats or misses; long term (12–36 months): structural productivity gains but also capital intensity (data centers, power). Hidden dependencies: grid capacity, semiconductor wafer supply, model data access and liability frameworks.

Trade implications: Favor 6–12 month overweight in AVGO (infrastructure exposure) and tactical 3–9 month longs in EEM; rotate into XLV/XLU for defensive alpha as AI drives corporate margin expansion. Use option spreads to buy convexity (debit call spreads or LEAP calls on AVGO/PLTR) and sell short-dated call premium on crowded longs. Enter over next 2–4 weeks, scale 25% at a time, target +15–25% moves, use 10–12% stops.

Contrarian angles: Consensus underestimates non‑tech earnings upside from AI (industrial, healthcare efficiency gains) and overestimates straight AI “winner takes all” outcomes; utilities/EM appreciation appears underpriced vs. QQQ concentration risk. Historical parallel: early cloud adoption where incumbents reallocated share — expect idiosyncratic reversals, not a single dominant global winner; watch for unintended consequences (grid strain, data regulation) that can rapidly reprice exposures.

Key Decisions for Investors

• Establish a 2–3% long position in AVGO (ticker AVGO) with a 6–12 month horizon; size initial tranche 50% now, 25% on 10% pullback, stop-loss 12% absolute; target +20% upside driven by AI infra monetization and margin expansion.
• Add a 3–4% unhedged position in iShares MSCI Emerging Markets ETF (EEM) over the next 2 weeks to capture dollar weakness and EM outperformance; trim if USD DXY rises >3% in 30 days or if Chinese regulatory headlines intensify.
• Overweight healthcare (XLV) and utilities (XLU) by 3% each funded by a 4% reduction in QQQ/tech mega-cap exposure over 10 trading days; use this rotation to lock in defensive beta while capturing AI-driven efficiency gains across sectors.
• Implement options: buy AVGO Jan 2026 LEAP calls (~6–12 month horizon) or 6–9 month call spreads to limit cost; sell 30–45 day covered calls on existing high-flyers to harvest premium. If within 60 days a binding AI regulation is announced (restricting core data use), reduce AVGO/PLTR exposure by 50% immediately.