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

The article argues Nvidia, Broadcom, and Amazon are attractive AI-led buys, citing Nvidia's 73% latest-quarter revenue growth and analyst forecasts for 79% and 85% growth in the next two quarters. Broadcom’s AI semiconductor revenue rose 106% year over year to $8.4B, while management sees its custom AI chip business topping $100B by the end of 2027. Amazon’s AWS custom chip business is said to be growing at triple-digit rates, with Trainium3 sold out and Trainium4 nearly sold out well before launch.

Analysis

The market is starting to treat AI infrastructure less like a single-name NVIDIA trade and more like a capex-routing problem: who captures the spend when hyperscalers diversify silicon away from merchant GPUs. That creates a second-order winner set in custom silicon, networking, and cloud absorption, but it also caps the upside of pure-play GPU suppliers if customers keep pushing more workload share into proprietary chips over the next 4-8 quarters.

The key tell is that demand is not weakening; it is fragmenting. If AWS and Broadcom are both constrained on custom-chip capacity, the near-term bottleneck shifts from model training demand to manufacturing, packaging, and deployment cadence, which supports the entire AI supply chain but favors firms with long-duration supply commitments and system-level integration. In that setup, NVIDIA can still re-rate on earnings beats, but its multiple expansion is increasingly tied to execution, not narrative.

The contrarian risk is that consensus is extrapolating a straight-line AI spend curve while ignoring internal substitution. Every dollar hyperscalers move into custom silicon is a dollar that may not accrue to merchant accelerators, and that can create relative underperformance even in a strong AI tape. Over the next 1-2 quarters, watch whether capex commentary from large cloud buyers shifts from 'buildout' to 'optimization'; that would likely compress the entire group’s multiple before revenue actually rolls over.

Net: the strongest expression is not an outright index-long, but a relative-value long basket of AI enablers versus a hedged short in the most crowded beneficiary. The article’s bullishness is directionally right, but the better trade is owning the second derivative of AI demand — supply-chain bottlenecks, custom-chip design wins, and networking — rather than paying peak attention premium for the most obvious names.

Key Decisions for Investors

• Long AVGO / short NVDA as a 3-6 month relative-value pair: both benefit from AI spend, but AVGO has more direct exposure to custom-chip share gains while NVDA faces mix risk if hyperscalers internalize more silicon. Use a 1:1 dollar-neutral structure; target 10-15% relative outperformance if custom silicon adoption keeps accelerating.
• Add AMZN on pullbacks for a 6-12 month horizon: AWS custom chip demand is a capacity-constrained monetization lever, not just a cost-saving story. Favor staggered entries below recent highs; upside comes from margin surprise and improved cloud reacceleration, while downside is limited by diversified cash flow.
• Buy NVDA on post-earnings weakness rather than pre-print strength: the stock likely trades on guidance quality and backlog visibility more than headline growth. A near-dated options structure with limited premium outlay makes sense if you expect a beat but want to avoid multiple compression from 'good but not great' commentary.
• Avoid broad AI momentum baskets for now; prefer selective exposure to networking and custom-silicon beneficiaries over generic semis. The next leg of the trade likely rewards firms with supply visibility and system-level design wins, not just highest training throughput.
• Set a tactical hedge against AI duration risk via a short in the most crowded mega-cap AI proxy against a basket of less-obvious enablers. If the market starts rotating from 'AI demand' to 'AI monetization efficiency,' the biggest names can underperform even while the theme stays intact.