Here's My Top Artificial Intelligence (AI) Stock to Buy in December (Hint: It's Not Broadcom)

Micron Technology, which reports fiscal Q1 FY2026 results on Dec. 17, guided revenue of $12.5 billion (up ~45% YoY) and non-GAAP EPS of $3.75 (vs $1.79 a year earlier), reflecting a booming AI-driven memory market where server DRAM prices have risen ~50% in 2025 and are expected to keep rising into 2026. The stock has risen ~166% YTD but still trades at ~27x trailing and ~13x forward earnings with a PEG of ~0.18, underpinning the article’s bullish view that Micron’s strong near-term guidance and structural AI demand could continue to drive outsized revenue, margins and investor interest; Broadcom’s fiscal Q4 results (Dec. 11) are noted as an adjacent catalyst in the AI chip ecosystem.

Analysis

Market structure: The immediate winners are memory suppliers (MU, SK Hynix, Samsung) who have pricing power as server DRAM and HBM demand outpaces supply (DRAM +50% YTD; server DRAM prices forecast to double by end-2026). AI-chip designers (NVDA, AMD, AVGO, MRVL) gain performance benefits but face higher BOMs and potential margin pressure, while hyperscalers (GOOGL, META) absorb higher OPEX or accelerate capex to secure inventory.

Risk assessment: Tail risks include a fast supply ramp from Samsung/Hynix or inventory destocking that could wipe >30% off DRAM spot pricing, and export/regulatory actions (export controls to China) that could cut MU addressable markets within 90–180 days. Near-term (days) volatility centers on Dec 11 AVGO and Dec 17 MU earnings; medium-term (3–12 months) hinges on capex announcements; long-term (2026–2030) depends on sustained HBM adoption (~30% CAGR per SK Hynix).

Trade implications: Favor direct MU exposure (equity + defined-risk options) to capture the memory cycle; consider pair trades (long MU vs short AVGO) to isolate memory beta. Use call spreads around earnings to limit premium bleed and LEAPs for multi-year secular exposure to HBM. Rotate modestly from ultra-high multiple AI semis (trim NVDA overweight) into memory supply chain positions.

Contrarian angles: Consensus underestimates supply elasticity and the historical memory supercycle reversal risk (e.g., 2017–2018). MU’s PEG of 0.18 may reflect a cyclical earnings trough-to-peak distortion, not persistent multiple expansion; "sell-the-news" risk on Dec 17 is material. Higher memory prices could paradoxically slow AI deployments and invite design optimization that reduces HBM intensity over 12–24 months.

Key Decisions for Investors

• Establish a 2.5% portfolio long position in Micron (MU) ahead of Dec 17 earnings; set a tactical stop-loss at -18% and a staged take-profit (sell 50% at +30%, remaining at +50%) within a 3-month window to capture near-term re-rating tied to guidance.
• Allocate up to 0.7% of portfolio to a defined-risk MU call spread expiring ~6–9 weeks (buy near-ATM, sell 30–50% OTM) to capture earnings upside while capping max loss; roll to Jan 2026 LEAP calls (0.4–0.6 delta) for any remaining conviction longer-term (allocate additional 0.8–1.2%).
• Implement a pair trade: long MU (1.5% portfolio) vs short Broadcom (AVGO) (0.9% portfolio, dollar-neutral) to express memory outperformance; unwind/trim the short if AVGO beats on Dec 11 and rallies >15% or if MU misses and falls >12%.
• Trim high-multiple AI-chip exposure (e.g., reduce NVDA position by ~3% of portfolio) and redeploy into MU LEAPs or memory suppliers; monitor DRAM spot index—if prices reverse >20% within 90 days, cut memory exposure by 50% and reallocate to diversified tech.