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My Top Artificial Intelligence (AI) Stocks to Buy in 2026

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My Top Artificial Intelligence (AI) Stocks to Buy in 2026

Micron Technology has seen shares rise nearly 400% over the past 12 months but still trades at a forward P/E of ~13 versus the S&P 500 average of 22, while Mizuho projects NAND prices could jump ~330% year‑over‑year in 2026 and 50% in 2027 as cloud providers expand data centers. Broadcom reported Q4 revenue of $18 billion with AI semiconductor revenue up 74% YoY to $6.5 billion and trades at a forward P/E of ~33, supported by reported partnerships (e.g., OpenAI) to build custom AI chips. The note argues Micron may be undervalued given near‑term memory shortages and AI-driven demand, while Broadcom’s custom ASIC business justifies a premium multiple due to efficiency and supply‑chain advantages.

Analysis

Market structure: Winners are memory suppliers (MU, Samsung peers) and custom ASIC providers (AVGO) as cloud players rebuild capacity for LLMs; losers include mid-tier commodity DRAM/NAND producers and parts of the GPU inventory cycle as customers favor vertical integration. Rapid NAND/DRAM price appreciation (Mizuho: NAND +330% YoY in 2026) implies a near-term pricing power shift and 12–24 month margin expansion for top fabs, compressing the typical cyclical trough. Cross-asset: stronger semiconductor earnings should tighten credit spreads (lower IG spreads by 10–30 bps on positive surprise), lift cyclicals and USD-sensitive EM export currencies; expect compressed equity IV in MU/AVGO after earnings but higher realized vol on macro shocks. Risk assessment: Tail risks include abrupt capex reacceleration causing oversupply (2017–19 DRAM repeat), export-control escalation (US/China) cutting revenue >15% for exposed names, or a rapid AI budget pullback from hyperscalers reducing hardware spend by >20%. Near-term (days-weeks) volatility will be earnings- and guidance-driven; medium-term (3–12 months) depends on reported ASPs and inventory days; long-term (2+ years) hinges on architecture shifts to custom ASICs and new capacity. Hidden dependencies: foundry/packaging bottlenecks (TSMC, ASE) and rare-material constraints could cap output regardless of demand. Trade implications: Direct plays — overweight MU and AVGO but size by conviction and triggers: start small now and scale into confirmation of ASP trends. Pair trades — long MU vs short NVDA captures memory upside vs priced-in GPU premium; use size asymmetry (long twice the notional of short) to reflect idiosyncratic risk. Options — prefer defined-risk bullish spreads on MU (3–6 month call spreads) and buy-back/write on AVGO (sell 1–3 month covered calls) around earnings to monetize premium. Contrarian angles: Consensus understates the speed of oversupply once margins improve — a 12–18 month capacity response could flip MU from winner to cyclical loser, so valuation gap can close fast. Also, Broadcom’s custom-ASIC adoption is not guaranteed at scale; integration and software costs may keep GPUs (NVDA) sticky in high-value training workloads. Historical DRAM cycles warn to size positions for mean-reversion; set hard stop-losses tied to ASP curves and revenue guidance.