Samsung and SK hynix warn AI-driven memory shortages could last until 2027 and beyond, as HBM demand explodes — customers already reserving supply years ahead,

Samsung and SK hynix warn AI-driven memory shortages could last until 2027 and beyond, as HBM demand explodes — customers already reserving supply years ahead,

Samsung’s semiconductor division posted 53.7 trillion won ($36.1 billion) in operating profit during the first quarter of 2026, accounting for roughly 94% of the company’s total quarterly profit as soaring AI memory demand drove record sales. Meanwhile, SK hynix reported record quarterly revenue of 52.6 trillion won ($35.5 billion), and operating profit of 37.6 trillion won ($27.8 billion), fueled largely by booming HBM sales for AI infrastructure.

Brace for a barren landscape of new hardware launches, as AI demand reshapes the world of consumer electronics

Samsung and SK hynix shorten memory contracts as pricing power shifts back to suppliers

Memory will consume 30% of hyperscaler data center spending this year, a 4X increase over 2023

Part of the problem is cyclical. The memory industry has historically swung between oversupply and shortages. However, analysts increasingly believe this cycle is different, as growth in AI infrastructure is consuming hardware at unprecedented rates.

To address the crisis, the companies are aggressively expanding production capacity and increasing investment in advanced packaging and memory fabrication. According to the Korea Times , recent regulatory filings show that Samsung Electronics invested 465.4 billion won in its Xi’an memory chip plant in 2025, a 67.5% year-over-year increase. SK hynix also significantly increased spending, investing 581.1 billion won into its Wuxi facilities and 440.6 billion won into its Dalian operations.

However, semiconductor fabrication plants and advanced memory packaging facilities take years to expand and ramp up, meaning supply growth cannot catch up to the pace of AI-driven demand.

The memory crunch is joining a growing list of resource shortages emerging from the AI explosion.

GPU shortages have already become severe across parts of the industry. Earlier this month, we reported Intel’s confirmation that extreme demand had become so intense that customers were even buying chips that might previously have been discarded or treated as low-value products.

Power is becoming another major bottleneck. AI data centers are consuming enormous amounts of electricity, forcing technology companies to seek increasingly unconventional energy solutions. Earlier this month, Meta Platforms backed plans involving space-based solar power systems that could theoretically beam solar energy back to Earth to help support future AI infrastructure demands.

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Etiido Uko is an engineer and technical writer with over nine years of experience in documentation and reporting. He is deeply passionate about all things gadgets, technology, and engineering. ","collapsible":{"enabled":true,"maxHeight":250,"readMoreText":"Read more","readLessText":"Read less"}}), "https://slice.vanilla.futurecdn.net/13-4-22/js/authorBio.js"); } else { console.error('%c FTE ','background: #9306F9; color: #ffffff','no lazy slice hydration function available'); } Etiido Uko Social Links Navigation News Contributor Etiido Uko is an engineer and technical writer with over nine years of experience in documentation and reporting. He is deeply passionate about all things gadgets, technology, and engineering.

Kindaian So we are doomed. For getting memory in the market we need the AI companies to go bankrupt. If that happens, the economy will tank. So we are on a zugzwang situation. If we play we loose, if we don't play we loose. Reply

Marlin1975 If demand does not change sure. But the "free" money will run out and with even OpenAI admitting they can't even meet their own conservative numbers of users that day may come a lot sooner than then. Reply

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