Technology

Why Memory Chip Shortages Are Making Phones and Computers More Expensive

Samsung's chip profits have surged 48 times higher due to a shortage of memory chips needed for AI systems. The shortage is driving up prices for phones, computers, and data center equipment, and will

Martin HollowayPublished 7d ago5 min readBased on 6 sources
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Why Memory Chip Shortages Are Making Phones and Computers More Expensive

Why Memory Chip Shortages Are Making Phones and Computers More Expensive

Samsung Electronics just reported its profits from computer chips have jumped 48 times higher than they were a year ago. The reason is simple: there are not enough memory chips to go around.

Memory chips are the parts inside phones, computers, and data centers that store information and run tasks. Right now, companies building AI systems—the kind of artificial intelligence that powers chatbots and smart assistants—are competing fiercely to buy these chips faster than factories can make them. Samsung, which makes more of these chips than almost anyone else, has raised prices significantly and expects to raise them further.

This shortage will likely get worse before it gets better. The factories that make advanced memory chips take years to build, and it will not be until late 2027 at the earliest before new capacity comes online.

Who Feels the Pain

The shortage is affecting more than just big tech companies. Phone makers like Xiaomi and Realme, which sell devices in China and India, are warning they may need to raise prices on smartphones because the memory chips inside cost more now. Even Samsung's own phone division is struggling, since it has to pay more for the same chips other companies use.

The problem hits two main types of memory chips: DRAM, which computers use while they are running, and NAND flash, which stores files permanently. AI systems need special versions of these chips—faster, more capable—and those are in shortest supply of all.

Think of it like a bottleneck at a road toll plaza. Normally, cars move through at a steady pace. But when everyone decides to drive at once, the booth operators cannot keep up, and prices for getting through the toll shoot up.

Data Centers Lock In Supply

Big companies running cloud services and AI workloads are now buying chips months or even a year in advance, instead of buying what they need week by week. They negotiate fixed prices to protect themselves from surprise jumps.

This means smaller companies and smartphone makers are stuck waiting in line for whatever inventory is left. Factories are prioritizing the larger orders from major cloud providers because they make bigger profits from those sales.

The shortage is also hitting related parts—the components that help chips manage power, the materials that package them together, the equipment that cools them down. When one essential part is scarce, the whole supply chain slows down.

A Pattern We Have Seen Before

This is not the first time a technology shift has outpaced the factories' ability to produce. When smartphones took off in the early 2010s, chip makers could not keep up with demand either. But AI systems need far more computing power than early smartphones did, so this shortage is more severe.

Phones With AI Still Coming

Despite the shortage, Samsung plans to put AI features into 800 million phones next year, roughly double the number it plans for this year. These AI phones will use Google's artificial intelligence models to perform tasks right on the device, without sending data to a distant server.

These phones need more memory than regular phones—more storage for the AI models, more working space for them to run. That adds another layer of pressure on the memory supply.

What Comes Next

Companies that can secure enough chips now and invest in future capacity will be better positioned later when AI becomes even more widespread. Those that cannot get the chips they need risk falling behind in a technology shift that is accelerating every quarter.

The core lesson here is that memory chips have become the chokepoint for AI growth. As long as factories struggle to produce them fast enough, prices will stay high, and companies will compete intensely for whatever is available. The memory shortage tells us something important about how fast AI is being built into real-world products—faster than the suppliers thought it would happen.