Top 6 South Korean Chip Stocks to Watch, According to Macquarie

Macquarie turned constructive on several South Korean semiconductor names, citing persistent memory supply constraints, AI infrastructure demand, and node migration-driven pricing power. It remained bullish on Samsung Electronics and SK Hynix, while also highlighting Wonik IPS, ISU Petasys, Doosan, and TCK as beneficiaries of AI server, networking, and NAND upgrade cycles. The key call is that shortages in DRAM and NAND may persist or worsen, supporting margin expansion and earnings upside across the chip supply chain.

Analysis

The most important implication is not “AI demand is strong” but that Korean upstream suppliers are moving from cyclical price takers to allocation controllers. When memory and substrate/tool bottlenecks persist while customers race to secure capacity, the bargaining power shifts upstream first to HBM/memory leaders and then to equipment/materials vendors with scarce exposure to the exact node transitions being forced by AI. That usually shows up as a multi-quarter earnings revision cycle, not a one-day rerating.

The second-order effect is that AI infrastructure intensity is broadening from accelerators into the interconnect and packaging stack. If switch, tray, and PCB content per cluster keeps rising faster than unit shipments, the real beneficiaries are the “boring” component names with operating leverage to high-spec material mixes, not the headline compute platforms already crowded with capital. That favors niche suppliers over larger diversified peers because mix improvement can expand margins even if end-market unit growth moderates.

The main risk is timing: these setups can stay under-owned for months, but any sign that customer capex is front-loaded or that new capacity slips get deferred would hit the equipment/material names first. A sharper risk is that consensus may be underestimating how much of the benefit is already in the very obvious AI winners; if AI server growth slows from triple-digit to merely strong, the supply-chain laggards can still outperform, but the hyperscaler names may de-rate on slower incremental surprise.

Contrarian take: the best risk/reward may be in the second-order beneficiaries, not the most obvious AI beta. The market often overpays for visible platform exposure and underprices node-specific bottlenecks where earnings can inflect 20-40% over the next 2-4 quarters as utilization and mix improve. That argues for expressing the theme through selective longs in supply chain names rather than chasing the already-consensus compute leaders.

Key Decisions for Investors

• Long AVGO vs short a basket of large-cap AI platform names for 3-6 months; thesis is that interconnect and switching content keeps compounding even if accelerator unit growth normalizes, while valuation support is still better on cash-generative networking exposure.
• Buy ANET on pullbacks for a 6-12 month hold; use any guidance-related weakness as entry, since scale-out switch demand is a direct throughput play on AI cluster buildouts with asymmetric upside if shipment growth stays near current run-rates.
• Accumulate CLS on a staggered basis over the next 4-8 weeks; this is a second-order AI winner where mix improvement and AI server content can re-rate margins faster than revenue, but liquidity and sentiment are less crowded than at the chip OEM level.
• Initiate a tactical long NVDA-covered call overlay rather than outright fresh longs; the supply-chain signal is positive, but the asymmetric upside from this specific note is more likely to accrue to suppliers than to the most owned platform stock.
• For higher-risk expression, pair long ANET/CLS with short a basket of semiconductor equipment names lacking direct AI memory-node exposure; if AI capex broadens but memory bottlenecks remain the key constraint, the market should continue rewarding direct cluster-enablement names over general capital equipment beta.