These stocks are ‘the place to be' if you want serious AI growth, says BofA

BofA analysts identify semiconductor-equipment stocks as the top place to be for AI-driven multiyear growth, noting these names have been standout gainers year-to-date as hyperscale cloud providers ramp compute spending. Analysts expect momentum to continue through next year, making chip-equipment makers a favored sector play on continued AI investment and potential further upside for equipment suppliers.

Analysis

The structural lever is tool intensity per unit of AI compute — hyperscalers can scale spending without linear revenue growth because every new rack or pod multiplies demand for lithography, metrology and back-end test equipment across a 6–18 month procurement-to-revenue window. That creates a durable revenue runway for advanced-tool makers (EUV, high-NA optics, precision metrology) while amplifying second-order beneficiaries: specialty materials, advanced packaging and calibration services where margins expand as volumes normalize.

Key risks compressing that runway are timing and scope mismatches: a burst of bookings today can lead to a 9–15 month delivery bulge that either tightens pricing (if constrained) or triggers near-term destocking once hyperscalers shift architectures or absorb capacity. Policy shocks (export controls), rapid yield improvements, or a pivot from monolithic high-node spending to chiplets/packaging could reallocate dollars away from high-end lithography toward assembly/test, creating winners and losers inside the equipment complex. Monitor bookings/backlog cadence and hyperscaler capex cadence closely over the next 3–12 months as the primary short-term triggers.

The consensus trade prices in continued multiple expansion for a narrow group of winners; that’s plausible but not guaranteed. The more nuanced opportunity is to discriminate by tool stickiness — metrology and process-control tools (higher attach rates, recurring service) should outlast cyclical swings, whereas niche capital items tied to a single node or vendor roadmap face concentration and policy risk. Position sizing and hedges should reflect a 12–24 month time horizon with defined de-risk points on bookings reversals or policy announcements.

Key Decisions for Investors

• Buy ASML (ASML) with a 12–18 month horizon: initiate a position size equal to 1–2% of portfolio on any pullback of 5–12% from current levels. Target +30–50% upside if EUV allocations continue and shipments accelerate; hedge tail-risk with 6–12 month puts equal to ~5% of notional (costly but protects against policy/export shocks).
• Bull-call spread on Lam Research (LRCX): buy a 9–12 month ATM call and sell a single higher-strike call to fund ~50–70% of the premium. Rationale: capture multiyear equipment cadence while capping cost; target 25–40% net return if bookings convert, max loss = net premium paid.
• Long KLA (KLAC) vs short SOXX (equal notional, 12 month): overweight metrology/process-control (KLAC) while shorting broad semiconductor capex sensitivity through SOXX to express preference for sticky, recurring-revenue equipment. Expect relative outperformance of 300–500bps if tool attach rates remain high; cap pair size to 2% net exposure and buy index puts as a hedge for systemic drawdowns.
• Event-driven directional option: buy 1–3 month LRCX or AMAT calls ahead of hyperscaler earnings/capex commentary (small tactical allocation). Close within 3–7 trading days after confirming capex guidance; risk is earnings silence or conservatism — limit position to 0.5% portfolio and set a 40–60% max loss cut.