The Nasdaq Is in Correction Territory. Here Are the 2 Artificial Intelligence (AI) Stocks I'm Buying First.

The Nasdaq entered correction territory, falling roughly 10% from prior highs, while big tech is signaling a $720 billion capex surge into AI infrastructure. Micron (MU) is highlighted as a core AI memory play: trading at ~6x forward earnings, with HBM inventories sold out, triple-digit revenue growth and EPS forecasted to ~4x this year. Broadcom (AVGO) is presented as a durable custom-silicon/ASIC (XPU) supplier trading ~28x forward earnings (~50% off recent highs) with recurring VMware software cash flows providing earnings stability.

Analysis

The Nasdaq pullback creates a tactical window to exploit idiosyncratic dispersion inside AI infrastructure exposure rather than broad tech beta. Memory and bespoke silicon are subject to very different operating rhythms: memory economics are driven by wafer-start cadence and multi-quarter inventory digestion, while custom ASIC engagements produce lumpy, high-visibility revenue but much longer design lock-in. That divergence amplifies stock-specific returns during macro-driven deratings.

Second-order winners include capital-equipment vendors and specialty substrates whose order books lead revenue by 12–24 months; conversely, contract assemblers and spot-market component traders are most exposed to price collapses if hyperscaler procurement shifts. Customer negotiation dynamics will harden — large cloud buyers can convert short-term spot purchases into long-term supply contracts, compressing upside for pure spot sellers and widening margins for suppliers able to secure multi-year, fixed-priced commitments.

Principal risks: a rapid demand shock from macro or enterprise spending cuts can trigger a classical memory cycle wipeout inside 2–4 quarters, and geopolitical/export interventions could bifurcate supply pools, forcing customers to dual-source at higher total cost. Near-term catalysts to monitor are quarterly billings from hyperscalers (weeks), equipment order announcements (months), and wafer-start trends or capacity ramps (12–24 months), which will materially re-rate earnings visibility.

Contrarian angle: the market is underpricing the optionality embedded in balance-sheet-heavy supply-side players that can self-fund capacity and monetize scarcity through structured sales (fixed-price contracts, take-or-pay). At the same time, consensus over-allocates to “platform” beneficiaries and underweights idiosyncratic execution risk in bespoke silicon rollouts — creating pair and convex-option opportunities that exploit this mispricing.

Key Decisions for Investors

• Initiate a 2–3% NAV long in MU using a 12-month 3-tranche buy: 40% at spot, 30% at -10%, 30% at -20%. Target 50–80% upside over 12 months if wafer-start cadence and ASPs stabilize; downside scenario -45% if a broad memory destocking occurs. Use a protective 20% OTM Jan-2027 put (or equivalent collar) once full allocation is reached to cap tail risk.
• Add a 1.5–2% NAV core position in AVGO on a 12–24 month horizon. Prefer selling a 12–18 month 10% OTM put to earn yield (max draw if assigned), or buy a long-dated call spread (buy 12–24 month ATM call, sell 30% OTM) to limit premium. Expect 25–40% upside if enterprise/custom-silicon rollouts remain on schedule; principal risk is a 25–35% pullback from enterprise IT spending cuts.
• Pair trade for sector-neutral exposure: long MU (1.5% NAV) / short GOOGL (1.0% NAV) over 6–12 months. This isolates memory vs large-platform sentiment dispersion — reward arises if supply tightness and execution validate memory pricing while advertising/monetization headwinds keep platform multiple depressed. Hedge with a NASDAQ 10% drawdown trigger: buy Nasdaq downside protection (puts) sized to limit portfolio beta.
• Maintain a tactical volatility hedge: buy short-dated (30–90 day) VIX calls or Nasdaq/QQQ puts sized to cover 4–6% portfolio drawdowns ahead of hyperscaler earnings and major macro datapoints. Cost is insurance; benefit is preserving optionality in case the correction deepens and provides better re-entry levels.