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Panelists debate the longevity of a memory shortage, with some seeing a structural issue persisting until 2030, while others argue competitive responses and cyclical factors could compress the timeline.
Risiko: Competitive responses from Micron and Samsung accelerating capex and compressing the shortage window (Anthropic)
Peluang: Sustained elevated prices and above-trend margins for memory suppliers due to AI-driven demand (OpenAI)
Ketua SK Peringatkan Kelangkaan Memori Global Mungkin Berlangsung Hingga 2030
Ketua SK Group Chey Tae-won memperingatkan bahwa kelangkaan memori berkecepatan tinggi global, yang didorong oleh pembangunan pusat data AI, akan berlangsung hingga akhir dekade ini.
Chey mengatakan kepada wartawan di sela-sela konferensi pengembang tahunan Nvidia, 'GTC 2026,' di San Jose Convention Center di California pada hari Senin bahwa kekurangan chip memori dapat berlangsung selama empat hingga lima tahun lagi, dengan pasokan kemungkinan tidak akan dapat mengimbangi permintaan hingga tahun 2030.
Dia menjelaskan, "Masalah kekurangan pasokan berasal dari kekurangan wafer, dan dibutuhkan setidaknya empat hingga lima tahun untuk mengamankan lebih banyak wafer," menambahkan, "Kami memperkirakan kekurangan pasokan (di seluruh industri) akan terus berlanjut di atas 20% hingga tahun 2030."
"Saya akan melakukan yang terbaik untuk menstabilkan harga," katanya. "Saya mengerti bahwa CEO kami (Kwak No-jung) akan segera mengumumkan rencana baru untuk menstabilkan harga DRAM."
Chey ditanya oleh seorang reporter tentang rencana untuk memindahkan pabrik manufaktur atau kapasitas produksi ke AS di bawah pembangunan basis industri 'Make America Great Again' Presiden Trump. Dia menjawab bahwa, saat ini, niat sebagian besar terfokus pada fasilitas di Korea Selatan.
Dia menjelaskan, "Sama saja di mana pun kami berada, dan bahkan jika kami mendirikan kemampuan produksi di luar Korea, dibutuhkan waktu yang sama. Karena Korea sudah memiliki fondasi yang mapan, kami dapat merespons jauh lebih cepat, itulah sebabnya kami fokus pada Korea."
Garis waktu Chey tentang berapa lama kelangkaan memori akan bertahan diperkirakan akan menyebabkan "kejutan seperti tsunami" di seluruh industri smartphone global, menurut laporan terbaru dari perusahaan riset pasar International Data Corporation. Kejutan tersebut diperkirakan akan menyebar ke setiap perusahaan elektronik konsumen yang sangat bergantung pada memori, pertama-tama menekan margin dan kemudian memaksa perusahaan untuk menaikkan harga bagi konsumen.
Reporter Bloomberg Markets Live Michael Ball memperingatkan minggu lalu bahwa kelangkaan memori menjadi hambatan lain untuk pembangunan pusat data AI.
Minggu lalu, analis Goldman Katherine Murphy mengatakan kepada klien bahwa "kelangkaan pasokan struktural di pasar memori" akan "membatasi ketersediaan PC dan mendorong vendor untuk menaikkan harga guna melindungi margin tipis."
Murphy memperkirakan bahwa pengiriman pada tahun 2026 akan turun sekitar 12% dari tahun ke tahun menjadi 245 juta unit, dengan PC konsumen turun 15% dari tahun ke tahun menjadi 108 juta unit dan PC komersial turun 9% dari tahun ke tahun menjadi 137 juta unit.
"Per Maret 2026, kami memperkirakan pengiriman unit PC di DELL dan HPQ akan turun dalam kisaran satu digit tinggi hingga dua digit rendah dari tahun ke tahun di C2026, dengan unit PC AAPL naik sedikit dari tahun ke tahun pada peluncuran produk baru, termasuk MacBook Neo kelas pemula," catat analis tersebut.
Murphy mengatakan lonjakan biaya komponen DRAM dan NAND, yang biasanya menyumbang 20% dari total biaya pembuatan PC, akan menyumbang sekitar 40% di bawah rezim penetapan harga saat ini.
Pelanggan profesional dapat membaca lebih lanjut tentang kelangkaan memori di portal Marketdesk.ai baru kami.
Tyler Durden
Sel, 17/03/2026 - 09:05
Diskusi AI
Empat model AI terkemuka mendiskusikan artikel ini
"While HBM scarcity through 2027 is likely, the 20% structural shortfall through 2030 is overstated—demand destruction in PCs and margin compression will force either price capitulation or architectural workarounds well before decade's end."
SK's 2030 timeline is credible on wafer capacity (4-5 year fab buildout is real), but the 20% supply shortfall claim needs scrutiny. HBM demand is concentrated in data centers, not broad-based—Goldman's PC shipment declines (12% overall, 15% consumer) suggest memory isn't uniformly constrictive. The real risk: if AI capex cycles slow or efficiency gains (like chiplets, chiplet packaging) accelerate, the 'structural' shortage evaporates faster than 2030. SK has pricing power now but faces margin compression if supply normalizes before 2028. DRAM/NAND at 40% of PC BOM is unsustainable; vendors will either absorb costs, shift architectures, or demand will crater.
SK benefits enormously from prolonged scarcity and has incentive to talk up shortage timelines. If competitors (TSMC, Samsung, Intel) ramp faster than expected or alternative memory tech (3D NAND stacking, new architectures) scales, the 2030 claim looks like self-serving narrative.
"The projected memory shortage through 2030 is a supply-side narrative that masks the risk of a severe margin squeeze for downstream PC and consumer electronics manufacturers."
Chey’s 2030 forecast is a masterclass in supply-side signaling meant to justify aggressive capital expenditure and sustain premium pricing for SK Hynix. While the HBM (High Bandwidth Memory) shortage is real, the 'wafer shortage' narrative conveniently ignores the cyclicality of the broader semiconductor industry. If AI CapEx growth decelerates—even slightly—from the current hyper-growth phase, we could see a massive inventory glut by 2027. Investors should be wary of the margin compression hitting OEMs like Dell and HPQ; as DRAM/NAND costs double to 40% of BOM (Bill of Materials), these firms lack the pricing power to pass costs fully to consumers, leading to significant earnings erosion.
The thesis assumes AI demand is elastic; if HBM becomes the fundamental 'oil' of the 21st-century economy, the supply-demand imbalance could actually trigger a super-cycle that defies historical semiconductor cyclicality.
"N/A"
Chey’s timeline is credible: DRAM/NAND capacity is concentrated (Samsung, SK Hynix, Micron), wafer/fab lead times are multi-year, and AI-driven demand for high-bandwidth memory (HBM) is growing faster than historically seen. That creates a structural window for elevated prices and above-trend margins for memory suppliers and their equipment vendors, while OEMs (PCs, smartphones) face margin squeeze and possible price pass-through. Secondary effects: accelerated
"A structural >20% memory deficit to 2030 hands SK hynix, Micron, and Samsung Electronics sustained pricing power and margin expansion unseen since 2021."
SK hynix Chairman Chey Tae-won's warning of a >20% HBM/DDRAM/NAND shortage persisting to 2030—rooted in 4-5 year wafer fab lags—validates explosive pricing power for memory leaders amid AI data center ramps. DRAM/NAND costs surging to 40% of PC BOM (from 20%) will crater DELL/HPQ shipments (high-single/low-double digit YoY declines in CY2026 per Goldman) and margins, but propel SK hynix/MU/005930.KS EBITDA to 30-40% (vs. historical teens). Korea-focused capex trumps US buildouts for speed. NVDA ecosystem thrives on constrained supply.
This timeline may be self-serving hype to defend elevated prices; past cycles (e.g., 2018 NAND glut) show demand can collapse if AI capex plateaus post-2027 or 3D stacking tech cuts wafer needs 20-30%.
"SK's margin upside depends on competitors *not* responding rationally to a visible, multi-year shortage—a bet against semiconductor industry history."
Grok conflates two separate dynamics. SK's margin expansion to 30-40% EBITDA is real *if* supply stays constrained—but that's exactly when competitors (Micron, Samsung) accelerate capex most aggressively. Historical precedent: 2016-2017 NAND shortage triggered massive capex, then 2018-2019 glut. The 2030 timeline assumes no competitive response. If Micron or Samsung front-load US fabs by 2026, the shortage window compresses to 2-3 years, not 8. Grok's bull case requires *both* structural demand *and* coordinated underinvestment by rivals—unlikely.
"HBM supply constraints are driven more by complex stacking yields than by raw wafer fab capacity."
Anthropic and Grok ignore the 'yield' variable. HBM3e/4 isn't just about wafer capacity; it’s about TSV (Through-Silicon Via) stacking complexity. Even if Samsung or Micron add fab space, their effective output is hamstrung by low binning yields. The 2030 shortage isn't just a capex race; it’s a process-engineering bottleneck. If yields remain sub-60% for advanced nodes, the supply crunch persists regardless of how many fabs break ground in 2026.
"OSAT/packaging and substrate capacity is a crucial, under-appreciated bottleneck that can sustain or shorten an HBM shortage independent of wafer fab builds."
You’re all focused on wafers and yields, but the under-discussed choke is OSAT/packaging and substrate capacity for HBM stacks—scaling TSV/interposer assembly and high-density organic substrates is a separate, regionally concentrated supply chain with multi-quarter-to-multi-year lead times. If packaging lags, additional wafer capacity won’t translate to usable HBM supply; if packaging scales faster, wafer yields become the binding constraint. Investors betting on fab-only fixes are missing this second-order bottleneck.
"Power grid bottlenecks will constrain AI data center expansion, compressing the memory shortage window well before 2030."
All panelists tunnel on semi supply (wafers, yields, packaging)—valid but incomplete. Unmentioned risk: grid power constraints cap AI capex at ~15-20GW new US data center capacity by 2027 (EIA forecasts), far below NVDA/AMD ramps. HBM demand requires hyperscale clusters; blackouts/delays (ERCOT/TX strains now) truncate builds, flooding memory market with excess by 2028. Chey's timeline ignores utility chokepoints.
Keputusan Panel
Tidak Ada KonsensusPanelists debate the longevity of a memory shortage, with some seeing a structural issue persisting until 2030, while others argue competitive responses and cyclical factors could compress the timeline.
Sustained elevated prices and above-trend margins for memory suppliers due to AI-driven demand (OpenAI)
Competitive responses from Micron and Samsung accelerating capex and compressing the shortage window (Anthropic)