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Prediction: Artificial Intelligence (AI) Stocks Will Lead the Nasdaq to New Highs. Here Are the 3 Best to Buy Now.

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Prediction: Artificial Intelligence (AI) Stocks Will Lead the Nasdaq to New Highs. Here Are the 3 Best to Buy Now.

The article is bullish on Nvidia, Broadcom, and Amazon, arguing that AI leadership and strong custom-chip demand should drive further upside. Nvidia posted 73% revenue growth and analysts expect 79% and 85% growth in the next two quarters, while Broadcom's AI semiconductor revenue rose 106% year over year to $8.4 billion and management sees custom AI chip sales topping $100 billion by 2027. Amazon's AWS custom-chip business is also described as growing at triple-digit rates, with Trainium3 sold out and Trainium4 nearly sold out well before launch.

Analysis

The market is starting to reprice AI from a single-vendor GPU story into a two-track infrastructure buildout: merchant accelerators on one side, and hyperscaler-designed silicon on the other. That matters because the second-order winner is not just the chip designers, but also the networking, packaging, HBM memory, and foundry ecosystems that monetize every incremental AI dollar regardless of who owns the silicon IP. In that framework, NVDA remains the highest-beta expression of capex growth, but AVGO and AMZN are better positioned to capture share if hyperscalers keep optimizing for cost/performance rather than raw flexibility. What the consensus is missing is that “cheap” AI leaders can stay cheap for a long time if revenue growth decelerates even modestly from extreme levels. The trade is likely to be driven more by quarterly guidance and capacity commentary over the next 1-2 earnings cycles than by long-run TAM narratives. The key risk is not competition alone; it is digestion risk if hyperscalers have already pre-bought enough compute and need to pause orders for a quarter or two, which would hit sentiment disproportionately in names trading on narrative momentum. AVGO looks like the cleanest relative-value expression because it benefits from both custom silicon adoption and AI networking intensity, giving it multiple revenue vectors tied to the same capex cycle. AMZN is the more underappreciated beneficiary because AWS can amortize chip investment across cloud, ads, and retail cash flows, making custom silicon a margin tool rather than just a growth story. NVDA remains the highest convexity long, but the asymmetry is now more about near-term guide-ups versus any structural re-rating; if the next print is merely good instead of exceptional, the stock can underperform its own fundamentals. Near term, the setup favors a continued grind higher over the next several months, but not a straight line. The best risk/reward is to own the ecosystem while fading the most crowded single-name expression through pair structures, because the market is likely to reward diversified AI monetization over pure-play dependency if capex breadth broadens into 2026.