Not that critics of data center expansion needed another reason to oppose those facilities in their backyards, but they have one: the memory chip shortage.
As fabricators reallocate their resources to meet the demands of the AI industry, the big losers will be consumers, as the prices of the gadgets they love soar.
"AI servers need enormous amounts of memory, and the three makers that supply the world, Samsung, SK Hynix, and Micron, are reallocating wafer capacity to high-bandwidth memory for AI chips because it is far more profitable and effectively sold out," explained Jeff Barrington, managing director of Windsor Drake , an investment banking and M&A advisory firm in Toronto.
"That starves consumer-grade DRAM and NAND , and the prices show it," he told TechNewsWorld. "Contract DRAM jumped about 90% in the first quarter and another 60% in the second, after rising 172% across 2025."
Data centers sit at the center of the shortage because AI servers are memory monsters, explained Francisco Jeronimo, vice president for EMEA and devices at IDC , a market research company in Framingham, Mass.
"A single AI server consumes 10 to 20 times more memory than a conventional workload server, so as the hyperscalers build out, they pull a hugely disproportionate slice of global supply," he told TechNewsWorld.
That scenario is complicated by the same handful of suppliers serving both the data center and the consumer side. "The high-bandwidth memory feeding AI data centers comes off the same DRAM wafers as the RAM in a laptop or phone," Jeronimo said. "Capacity is finite, so a wafer committed to an HBM stack for an AI data center is one that never becomes memory for a mid-range handset."
"It is close to a zero-sum game," he added. "We forecast that data centers will absorb about 70% of all memory produced worldwide in 2026, up from 20% to 30% as recently as 2022."
Sandip Patel, of Frisco, Texas, a senior cloud solution architect with Microsoft, noted that it's common to think of memory chips as a commodity that scales with consumer demand. "AI flipped that," he told TechNewsWorld. "Now a handful of cloud providers can outbid the entire consumer electronics industry for the same wafer capacity, and that's exactly what's happening."
"Why chipmakers are chasing that demand instead of sticking with consumer electronics comes down to simple economics," he said. "AI-grade memory sells at a much higher margin than the commodity DRAM that goes into your phone or laptop."
"Fab capacity is finite, so when a manufacturer has to choose, they put their wafers toward the product that makes them more money," he continued. "It's not personal. It's just where the returns are right now, but it leaves less room on the line for consumer chips."
Tzvika Shahaf, senior vice president of product strategy at the Blancco Technology Group , a global company specializing in data erasure and mobile device diagnostics, noted that not only can chip makers get more money for AI chips, but they can also secure longer deals.
"Hyperscalers are driving significant demand with multi-year supply contracts that lock guaranteed capacity at premium prices," he told TechNewsWorld. "The result is that large chip manufacturers have shifted production toward the hyperscalers and slowed down on consumer-grade chips.
The semiconductor industry is highly cyclical because it depends on multibillion-dollar manufacturing facilities, explained Arie Brish, a business professor at St. Edward…