Prediction: The Nasdaq's Artificial Intelligence (AI) Rally Has More Room to Run. Here Are the Best Growth Stocks to Own.

Broadcom and ASML are highlighted as beneficiaries of robust AI infrastructure spending, with Broadcom's stock up 34% over the past month and ASML up 33% year to date. Broadcom cited strong demand for custom AI chips from Meta, Anthropic, and OpenAI, while ASML expects to build at least 60 low-NA EUV machines this year and 80 in 2027, supporting revenue growth of over 20% over the next couple of years. The article is largely bullish commentary rather than new hard data, but it reinforces positive long-term growth expectations for both stocks.

Analysis

The market is starting to price AI capex as a multi-year industrial buildout rather than a discrete earnings theme, and that matters for who captures the margin. AVGO benefits from being closer to the workload owner and can monetize inference-specific architectures with higher switching costs than commodity silicon, while ASML is the bottleneck asset in the fab ecosystem and therefore has the cleanest pricing power in the chain. The second-order winner is likely equipment adjacencies and advanced packaging, while the main losers are smaller ASIC designers and legacy merchant silicon vendors that lack the scale to amortize design and tape-out costs over enough volume.

What the market is likely underestimating is duration risk on the AI spend cycle. If hyperscalers continue shifting from training-heavy budgets to inference-heavy deployment, AVGO's revenue mix should become more recurring and less dependent on one-off model launches, but that also means future beats will hinge on deployment cadence rather than headline demand narratives. For ASML, the real sensitivity is not near-term demand but export policy, node concentration, and customer digestion; once EUV capacity is expanded, the market may start to discount a slower growth slope if foundry capex normalizes in 12-18 months.

Consensus looks too relaxed on valuation compression risk. Both names can keep compounding fundamentals, but if the broader Nasdaq multiple de-risks even modestly, the stocks could lag their earnings growth because a lot of the AI premium is already embedded after recent moves. The cleaner contrarian setup is to own the bottlenecks with the least competitive overlap and hedge the crowded AI beta that trades more like a factor than a single-name fundamental story.

Near term, the catalyst sequence is earnings/guidance upgrades over the next 1-2 quarters, but the key reversal trigger is any signal that hyperscaler capex plans are being deferred or rephased. Watch for supply-chain commentary around lead times and order visibility; that will tell you whether this is a sustained capacity expansion or a temporary front-loading of orders. If AI inference monetization disappoints, AVGO is the first to de-rate because its thesis depends on customers proving ROI, not just building models.

Key Decisions for Investors

• Long AVGO vs short QQQ into earnings season: use a 3-6 month horizon and size for a 1.5-2.0x upside if AI capex remains firm; stop if hyperscaler capex guidance rolls over.
• Add ASML on pullbacks rather than strength: preferred entry is after any post-earnings dip of 5%+; target a 12-18 month hold with upside tied to leading-edge node demand, but hedge with a Nasdaq short if valuation multiple compression accelerates.
• Pair trade long ASML / short weaker semiconductor equipment or legacy lithography exposure where applicable: thesis is that EUV scarcity preserves ASML pricing power while the rest of the chain competes on cycle timing.
• Buy AVGO downside protection via 3-6 month puts financed with covered calls: the stock has good fundamental support, but near-term multiple risk is elevated after the recent rally.