5 Incredible AI Stocks to Buy in April

Microsoft is roughly 35% below its all-time high and the author recommends using the current AI sell-off to buy five names: Nvidia, Broadcom, Alphabet, Microsoft and Nebius. The piece highlights Azure revenue +39% YoY and Google Cloud +48% YoY, Broadcom guiding custom AI chips to >$100B annual revenue by end-2027, and Nvidia management projecting Blackwell/Rubin lifetime sales of $1T through 2027. Nebius expects annual run-rate of $7–9B (up from $1.25B at end-2025) and the stock is cited as ~30% below its high. The overall view is that multi-year AI spending continues, making the pullback a buying opportunity.

Analysis

The market dislocation has opened a window to buy structural optionality, but the real alpha will come from parsing where compute economics shift rather than headline AI adoption. Over the next 12–36 months, the fight will be between general-purpose accelerators that sell on flexibility and purpose-built silicon that sells on $/inference; winners will be those that lock hyperscaler design partnerships and wafer allocation at leading foundries, while mid-tier fabless players without TSMC/TSV/HBM access will face margin compression and revenue volatility.

Near-term risks are dominated by sentiment and geopolitical episodics that can move flows in days-to-weeks, while the fundamental signal plays out over quarters as capex is approved and racks ship. A faster-than-expected advance in model parameter-efficiency or a meaningful inventory digestion cycle could cut incremental chip demand by a third within 6–12 months; conversely, another major model release that multiplies inference requirements would re-accelerate orders within 60–120 days of announcement.

This is a bifurcated opportunity set: long-duration optionality via names with secured HBM/wafer access and sticky cloud revenue, and tactical, high-volatility carries in smaller providers whose growth can re-rate sharply on a single hyperscaler contract. Risk management should prioritize defined-loss option structures or pair trades to isolate pure compute-demand exposure from macro-driven beta.

Key Decisions for Investors

• NVDA — Buy a 12-month call spread (buy 1x 12m 25% OTM call, sell 1x 12m 45% OTM call) sized to 3% portfolio notional. Rationale: captures upside optionality while capping premium; target 2.5x payoff if GP/accelerator pricing holds, stop if underlying falls >30% from entry.
• AVGO — Initiate outright long size (4% portfolio) on a 10–20% pullback, use a 9–12 month horizon. Hedge with a 6–9 month 15% OTM put if paid protection is inexpensive; reward scenario: >50% total return if custom-accelerator adoption accelerates and ASPs hold.
• MSFT / GOOG — Buy-and-hold core position (combined 6% portfolio) with income overlay: sell 3-month covered calls (30–40% OTM) and roll. This reduces near-term volatility from capex headlines while retaining multi-quarter upside from cloud cash flow; unwind if cloud growth decelerates below consensus for two consecutive quarters.
• NBIS — Tactical long (2% portfolio) financed by selling short-dated calls: buy the equity and purchase a 9–12 month 20% OTM protective put, finance by selling 1–3 month 30–40% OTM calls. This preserves upside from hyperscaler wins while limiting one-off downside from a single contract loss.