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RAMmageddon: AI's Hunger for Memory Chips Is Starving the Rest of the Tech Industry

AI data centers now consume 70% of global memory production, triggering price surges, product delays, and warnings of manufacturer bankruptcies across consumer electronics.

RAMmageddon: AI's Hunger for Memory Chips Is Starving the Rest of the Tech Industry

The AI boom has a collateral damage problem, and it is measured in gigabytes.

A global memory chip crisis - dubbed "RAMmageddon" by industry insiders - is accelerating into what may become the defining supply chain disaster of 2026. AI data centers are expected to consume 70% of all memory chips produced this year, according to Tom's Hardware, leaving smartphones, laptops, gaming consoles, and cars fighting over the scraps.

DRAM prices have surged 80-90% this quarter alone, per Counterpoint Research. Phison CEO Pua Khein-Seng has warned that many consumer electronics manufacturers "will go bankrupt or exit product lines" before the year is out. And Sony is reportedly considering pushing the PlayStation 6 back to 2028 or even 2029.

This is not a temporary blip. It is a structural reallocation of the global semiconductor supply chain, and it is only getting worse.

The Root Cause: $650 Billion in AI Spending

The numbers tell the story. Meta, Microsoft, Amazon, and Alphabet are collectively spending an estimated $650 billion on AI infrastructure in 2026, up from roughly $360 billion last year and $217 billion in 2024. Every dollar of that spending translates into demand for memory chips.

Each Nvidia Blackwell AI accelerator requires 192 gigabytes of RAM - six times what a high-end consumer PC needs. And Nvidia's next-generation Vera Rubin platform, expected to ship tens of millions of units, will require over 20 terabytes of SSD storage per unit. That alone would consume approximately 20% of last year's entire global NAND production capacity, according to Phison's estimates.

The three companies that dominate memory manufacturing - Samsung, SK Hynix, and Micron - have responded rationally to this demand signal. They are pivoting hard toward high-margin High Bandwidth Memory (HBM) for AI accelerators and away from the commodity DRAM and NAND that goes into consumer devices.

SK Hynix held 53% of the HBM market in Q3 2025. Samsung plans to boost HBM production to 250,000 wafers per month by end of 2026, a 47% increase. Micron went further: it exited the consumer memory market entirely in December 2025 to focus exclusively on enterprise and AI customers.

A Zero-Sum Game

This is the critical dynamic. Every wafer allocated to an HBM stack for an Nvidia GPU is a wafer denied to the LPDDR5X module in a mid-range smartphone or the SSD in a consumer laptop.

SK Hynix reported during its October earnings call that its HBM, DRAM, and NAND capacity is "essentially sold out" for 2026. Micron said in January it can only meet about two-thirds of medium-term memory requirements for some customers. It too is completely sold out for the year.

The price impact on consumer-grade memory has been severe. Samsung raised prices for 32GB DDR5 modules to $239 from $149 in September - a 60% jump. Contract pricing for DDR5 has surged more than 100%, from around $7 to $19.50 per unit. The cost of 8GB eMMC chips - the basic memory found in budget devices - has exploded from $1.50 in early 2025 to $20. Automotive-grade versions are approaching $30.

DRAM now represents up to 30% of the bill of materials for low-end smartphones, tripled from 10% in early 2025.

Consumer Electronics Under Siege

The downstream effects are hitting every corner of the tech industry.

Gaming: Sony is weighing a delay for the PlayStation 6 to 2028 or 2029, according to Bloomberg. If the console does not arrive until 2029, it would mark nearly a decade since the PS5's 2020 debut - the longest gap between PlayStation generations ever. Nintendo, which launched the Switch 2 at $449 in June 2025, is now considering a price hike as RAM costs have risen 41% above initial projections.

Smartphones: Global smartphone production is projected to decline by 200-250 million units this year, according to Phison's CEO. Flagship models in 2026 will likely stick to 12GB of RAM for Pro tiers rather than stepping up to 16GB, and average selling prices could rise 3-8% depending on severity.

PCs and Laptops: Custom PC prices have increased roughly $1,500 annually due to memory costs. Tim Cook has warned that the squeeze will "compress iPhone margins."

Automotive: Tesla CEO Elon Musk stated the company must "hit the chip wall or make a fab," signaling the severity of the crisis for automakers who increasingly depend on memory for autonomous driving systems and infotainment.

Bankruptcies on the Horizon

Phison's CEO offered the starkest warning. Memory manufacturers are now "demanding three years' worth of prepayment" from customers - unprecedented in the electronics industry. The manufacturers themselves "internally estimate the shortage will last until 2030, or even for another 10 years."

Small and medium-sized electronics manufacturers without their own memory supply or the cash reserves to make multi-year prepayments face existential risk. The CEO predicted that from the end of 2025 through 2026, many system vendors will go bankrupt or be forced to exit product lines entirely.

No Quick Fix

The fundamental problem is that building new memory fabrication capacity takes years. Samsung and SK Hynix are scaling up production, but new fabs will not meaningfully ease supply constraints until 2028 at the earliest.

IEEE Spectrum's Samuel K. Moore framed the central question: can "new technology and fabs solve the DRAM supply crisis by 2028?" The answer, based on current timelines, is unclear.

In the meantime, the AI industry's insatiable appetite for memory is creating a two-tier semiconductor economy. On one side, hyperscalers and AI chip makers who can afford to lock in multi-year supply contracts at premium prices. On the other, everyone else - from Sony to small Android OEMs - scrambling for whatever is left.

The irony is hard to miss. The same AI systems that promise to make everything cheaper and more efficient are, in the physical world, making one of technology's most fundamental components scarce and expensive. RAMmageddon is not just a supply chain problem. It is the first major test of whether the AI boom can coexist with the rest of the tech ecosystem - or whether it will simply devour it.

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About the author Senior AI Editor & Investigative Journalist

Elena is a technology journalist with over eight years of experience covering artificial intelligence, machine learning, and the startup ecosystem.