The Best Time to Buy Artificial Intelligence (AI) Growth Stocks on the Nasdaq Was Last Month. The Second-Best Time Is Now.

Microsoft remains more than 20% below its all-time high, while Broadcom and Nvidia are near record levels but still expected to deliver substantial AI-driven growth. Nvidia has $1 trillion in cumulative orders for Rubin and Blackwell chips through 2027, and Wall Street expects its revenue to more than double by end-2027; Broadcom revenue is projected to rise from $64 billion in fiscal 2025 to $158 billion in fiscal 2027. The article argues the recent 20% to 30% rally does not eliminate further upside, especially for AI hardware leaders and an undervalued Microsoft.

Analysis

The market is increasingly bifurcating between AI beneficiaries with visible, multi-year order books and everything else. That matters because the next leg is less about “AI exposure” as a theme and more about whose revenue can be converted into durable earnings without a reset in capex efficiency; NVDA and AVGO still sit at the center of that loop, while MSFT remains the cleaner quality compounder because its multiple is less hostage to single-quarter hyperscaler spending prints. The second-order winner is the broader semiconductor equipment and power-infrastructure complex: as AI buildouts extend, bottlenecks shift from chips to packaging, networking, memory, and data-center power delivery, where incremental demand can surprise even if the headline names already look crowded.

The main risk is not that the AI trade is wrong, but that consensus is extrapolating linear growth through a highly cyclical supply chain. If enterprise spending pauses for even one quarter, high-beta names can de-rate sharply because positioning is already crowded and expectations are front-loaded; that risk is highest over the next 1-3 months around earnings, capex commentary, and guidance. NVDA is most exposed to any sign of digestion in orders or gross margin normalization, while AVGO is more resilient because custom silicon creates stickier design wins and more diversified cash flow.

The contrarian view is that the “missed the rally” framing may actually be the wrong lens: the better opportunity may be to own the less-loved enablers rather than chase the largest names after a 20-30% rebound. If AI infrastructure demand continues, the market should eventually reward cash-flow visibility in networking, power, and software monetization, not just unit growth in GPUs. Conversely, if the AI trade is merely rotating within a narrow leadership group, the near-term upside in NVDA/AVGO can still be large, but the probability of sharp drawdowns rises because there is no margin of safety in sentiment.

Key Decisions for Investors

• Maintain core long MSFT for 6-12 months as the lowest-volatility way to express AI monetization; prefer it over NVDA on a risk-adjusted basis if you want upside without maximum multiple compression risk.
• Trade NVDA tactically with a 1-2 month horizon: buy pullbacks only, or express via call spreads rather than outright stock to reduce downside if guidance implies order normalization; reward remains strong, but the stock is the most vulnerable to any capex air pocket.
• Stay long AVGO as the best quality-growth hybrid in the basket for a 6-9 month horizon; its custom AI exposure plus diversified cash flows should hold up better than pure-play AI semis if the market rotates away from momentum.
• Pair trade: long MSFT / short a basket of high-multiple software names with weaker AI monetization over the next 2 quarters; the market is likely to re-rate businesses with real operating leverage and punish aspirational AI narratives.
• Use any further strength in NVDA/AVGO to trim into earnings or guidance events if implied upside is already pricing in perfect execution; the asymmetry over the next 30-60 days is more about disappointment risk than upside surprise.