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InvestAnswersSep 3
Finance

IA13: Which Memory Stock To Buy? ๐Ÿง  SK Hynix vs Samsung vs Micron

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TL;DR

SK Hynix trades at 3.6x 2027 earnings with 58% HBM market share and 86% implied upside โ€” it's the cheapest memory play despite Korean volatility.

Key Insights

1

50% of chip cost โ€” HBM (high-bandwidth memory) is the bottleneck for AI training โ€” Nvidia's bill of materials is now 50% memory cost, making this a structural tailwind for the next 3 years.

2

3.6x forward PE โ€” SK Hynix trades at 3.6x 2027 forward earnings with 86% implied 12-month upside; Samsung and Micron trade at 3.8x and 6.1x respectively โ€” valuations are inverted versus market cap.

3

Korean discount gap โ€” Korean memory stocks trade at severe discounts to US markets due to lower liquidity and lag in price discovery โ€” the ADR premium on SK Hynix has already compressed from launch.

4

Trillion-unit robot market โ€” Memory demand extends beyond AI servers: humanoid robots, autonomous vehicles, and space-based data centers will each require terawatt-scale compute with massive memory requirements through 2030s.

5

Earnings peak risk โ€” Low PE ratios hide cyclical risk โ€” Micron earnings forecast to drop from $171 per share in 2028 to $122 in 2029, so time exits by end of 2028 before the cycle rolls over.

6

ERAM complements HBM โ€” ERAM (embedded RAM) doesn't replace HBM; it acts as a cache layer โ€” conflicting commentary that ERAM kills HBM is wrong and misses the stacking architecture.

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Deep Dive

Memory's centrality to AGI infrastructure

The host opens by framing memory as critical infrastructure in the AI era. When AI systems handle queries, autonomous vehicles navigate, or humanoid robots perform tasks, they must retain context and history โ€” which demands massive memory capacity. The demand explosion is structural and unavoidable. This isn't speculative; it's embedded in the architecture of every next-gen AI system. Nvidia's Ruben chips are so memory-constrained that the company has been knocking on suppliers' doors to secure allocation. The memory component of a high-end AI accelerator has grown from a fraction of bill-of-materials to roughly half of total cost. This shift means memory companies capture substantial value from every AI chip sold, creating a downstream earnings windfall for SK Hynix, Samsung, and Micron.

Parsing the memory hierarchy and tech tradeoffs

The technical foundation matters because it explains valuation gaps. SRAM is on-chip, super-fast, tiny capacity. HBM sits beside the chip, holds massive data, uses more power โ€” it's the warehouse. ERAM stacks memory vertically as a middle ground. The host clarifies a common misconception: ERAM doesn't kill HBM; they work together. On packaging, 2D stacks are slow side-by-side chips, 2.5D uses a silicon interposer for faster communication, and 3D stacks memory vertically for density but adds heat and complexity. The real dividing line is between TC+NCF (more tolerant, slower, hotter) and MR+MUF (better for real-time inference). Going forward, MR+MUF will command more demand, and this distinction matters for which supplier wins. SK Hynix leads in HBM with 58% market share, Samsung sits in the low 20s after taking some share, and Micron trails but is growing fastest by volume.

Valuation reveals massive upside asymmetry

All three companies trade at trillion-dollar market caps but with wildly different valuations. SK Hynix trades at 4.9x 2026 earnings and collapses to 3.6x 2027 earnings โ€” utility-stock valuations for a high-growth business. Samsung is similarly cheap at 3.8x 2027, while Micron trades at a steep premium of 6.1x. The host calculates implied 12-month upside: SK Hynix 86 percent, Samsung 80 percent, Micron 50 percent. Micron could double to 1,600 from its current sub-1,000 level, but it's already priced in more richly. The Korean discount exists because Korean markets are less liquid and more laggy โ€” when US markets move on AI news overnight, Korean stocks can gap up or down the next session. The ADR for SK Hynix launched recently with a premium, but that gap has since compressed as supply-demand normalized. Growth rates also differ sharply: Micron 85 percent year-over-year, SK Hynix 53 percent, Samsung 31 percent. Nvidia is forecast at 70 percent growth, and half its bill of materials inflation will flow directly to memory suppliers.

Risk-reward framework and time horizon

The host emphasizes this is not a buy-and-hold-forever trade. These are 2026-2028 positions with an exit plan by end of 2028 or sooner if the cycle peaks early. Low PE ratios can be traps if earnings peak and roll over โ€” Micron's consensus forecast shows EPS potentially falling from $171 in 2028 to $122 in 2029. Oversupply of memory, a chip architecture that eliminates memory dependency, or a Chinese competitor gaining traction could crater prices. Geopolitical risk on Korean stocks includes currency swings, sanctions, or domestic unrest like the recent Ashbrenner fund implosion that wiped out wealth in Korea. AI capex itself could pause if OpenAI hits a wall or regulators like Bernie Sanders impose restrictions. The host dismisses AI restrictions as futile but acknowledges the risk profile is real. Against this, demand sustainability looks solid through 2028 for server-side inference and training, with robotics and autonomous vehicles providing decade-long tailwinds beyond. Micron also faces potential labor unrest, though details remain unclear. SK Hynix and Samsung appear immune to US labor issues.

Stock-by-stock positioning and the final call

SK Hynix emerges as the fastest horse: massively oversold from 3,000 to 1,600 won, lowest forward PE, highest growth rate, major customer locked in with Nvidia, and 58 percent HBM share. The host bought SK Hynix today despite already owning Micron long-term. Samsung is the second choice because it's less volatile, more diversified (not just memory), has a fortress balance sheet, pays dividends, and trades at nearly identical valuation to SK Hynix with 80-100 percent upside potential. Micron is the safe US play โ€” pure-play memory, CEO has secured multi-year allocation from Musk's companies (Tesla, SpaceX), will still grow like hell, trades at 6.1x 2027 but benefits from no geopolitical risk. Nvidia is the compounder for conservative bags โ€” 70 percent growth, 14x 2028 earnings, owns everything, but memory inflation is eroding margins. The host stresses fit each stock to your risk tolerance: traders can play options on Korean stocks, long-term holders should favor Samsung or Micron, and those wanting pure-play upside should target SK Hynix or Micron depending on geopolitical comfort.

Takeaways

  • โœ“If you hold a $100k portfolio and want asymmetric upside without the fastest horse, make SK Hynix a 5-10 percent position or use options โ€” don't chase Micron at 6.1x forward PE.
  • โœ“Exit memory positions by end of 2028 unless demand evidence shifts โ€” earnings peak is the kill switch, not revenue growth.
  • โœ“Buy the Korean version of SK Hynix or Samsung on dips if you can tolerate overnight gaps; the ADR spread occasionally offers arbitrage but adds complexity.
  • โœ“Cross-check valuation with customer roadmaps: Nvidia Ruben locked in, Tesla buying Micron, SpaceX buying Micron โ€” secured demand matters more than consensus earnings.

Key moments

6:00Memory's 50-percent BOM share in flagship chips

โ€œhalf of all of their bill of materials to memory. Half. That is why we're kind of following the money.โ€

7:13SK Hynix forward valuation reveal

โ€œthe PE for SKHIX will be 3.6 times earnings. Insanely cheap.โ€

14:09SK Hynix as the oversold leader

โ€œSK Hynix right now at the current prices considering it's mostly sold off considering they have 58% high bandwidth memory share the demand for HBM memory is the bottleneck for AIโ€

15:51Earnings peak risk and exit timing

โ€œMicron consensus roughly $171 of earnings per share in 2028 and then maybe in 2029, $122. This could roll over. This could be a problem.โ€

23:03Long-term demand from robotics and autonomous vehicles

โ€œthere's going to be a billion humanoid robots. All will require huge amounts of memory and growing growing very fast. Cyber cabs will need a huge amount of memory to remember things.โ€

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