3 AI Stocks I'd Be Happy to Hold Through Any Pullback

The article highlights Broadcom, Alphabet, and ASML as long-term AI winners, citing strong competitive moats, dominant market shares, and continued AI infrastructure demand. Broadcom reported Q1 2026 AI revenue up 106% to $8.4B and total revenue up 29% to $19.3B, while ASML raised full-year net sales guidance to 36B-40B euros after Q1 sales of 8.8B euros. Alphabet’s Search business generated $60.4B in Q1 revenue and the company held $126.8B in cash, reinforcing the bullish long-term setup.

Analysis

The key takeaway is not simply that AI demand is strong, but that the monetization chain is tightening around a few bottlenecks. Broadcom benefits from hyperscalers shifting from generalized GPU dependence to custom silicon, which is a more durable margin pool because design wins tend to compound into multi-year, hard-to-displace revenue streams. That also creates a second-order winner in the supply chain: every incremental custom-chip deployment increases demand for packaging, foundry capacity, and networking, while making it harder for smaller ASIC vendors to win sockets without a full-stack ecosystem.

Alphabet is the most underappreciated beneficiary because it can self-fund the AI buildout while using AI to defend its core distribution moat. The market still treats AI as a cost center for search incumbents, but if model quality and inference costs continue improving, Alphabet can absorb AI capex better than ad-driven peers and convert scale into product lock-in across search, Android, cloud, and browser entry points. The risk is not disruption in a single quarter; it is a gradual erosion of search monetization over 12-24 months if AI answers shift user behavior before Alphabet fully optimizes ad load and query economics.

ASML remains the highest-quality monopoly exposure, but the stock will likely continue to trade as a lumpy cyclical with a secular floor. The real catalyst is not quarterly revenue, but the next wave of High NA adoption, which should extend the installed base cycle and raise switching costs for leading-edge fabs. The main risk is order timing and export-policy noise, which can create drawdowns even when the long-term unit economics remain intact; that makes pullbacks more attractive for patient capital than momentum chasing.

Consensus is probably underestimating how concentrated AI infrastructure economics have become. The winners are increasingly the toll collectors on custom silicon design, search distribution, and lithography bottlenecks rather than the broadest set of AI application names. In that framework, the trade is less about “AI beta” and more about owning scarce control points with pricing power and waiting out volatility.

Key Decisions for Investors

• Add AVGO on 5-10% pullbacks; target a 12-18 month horizon where custom-silicon revenue can re-rate the multiple if hyperscaler capex stays elevated. Risk/reward is attractive because design-win durability should support upside even if broader AI sentiment cools.
• Build a core long GOOGL position on weakness, preferring a 12-24 month hold. The setup is asymmetric: downside is capped by fortress balance sheet and cash generation, while upside comes from AI improving monetization of existing distribution rather than requiring new user acquisition.
• Use ASML pullbacks to accumulate via staged buys over 3-6 months. Treat it as a high-conviction secular monopoly with cyclical entry points; if order volatility drives a 10-15% drawdown, that is likely a better risk/reward than chasing strength.
• Pair long AVGO / short a basket of lower-quality AI infrastructure names without proprietary silicon or long-term hyperscaler contracts. The thesis is that custom-chip winners with switching costs should outperform generic AI suppliers over the next 12 months.
• If you want convexity, consider a GOOGL call spread 12-18 months out rather than outright shares. This captures upside from AI monetization re-acceleration while limiting capital at risk if search mix pressure intensifies before product improvements land.