You’ve probably heard people say that AI comes for your work. But for now, it will come to you laptop budget.
The latest tech scare has a surprising name: Ramageddon. It means a global memory-chip shortage that is driving up the price of laptops, phonesgraphics cards and other devices.
AI data centers they require large amounts of memory, especially the premium type called high-bandwidth memory, or HBM. Demand for Big Tech is high, margins are better and chip makers are following the money. The AI industry has become its main goal, to pull supply off servers and away from mainstream consumer technology.
So what does this mean for you, and how might it affect your next laptop or smartphone purchase? Let’s go deeper.
What is Ramageddon?
RAMageddon is the nickname for the AI-driven memory shortage affecting consumer electronics.
Before we get to all the equipment, a few memory words may help explain what’s going on.
- RAM, or random access memory, helps your device switch functions. More RAM usually means smoother multitasking, faster app switching and better performance when you have multiple browser tabs open because apparently that’s how we all live now.
- DRAM, or dynamic RAM, is the active memory used by computers, smartphones, servers and graphics cards.
- NAND is the storage memory used in smartphones, flash drives and hard drives, which are internal storage drives. most modern laptops and desktops.
- HBM, or high-bandwidth memory, is the fastest, most expensive type of memory used in AI chips and high-performance data centers.
That last type of memory is where AI is changing the market. Intermediate AI accelerators data centers rely on HBM because it provides chips with fast access to data during training and running large AI models. As demand for AI increases, memory makers have more reason to prioritize components for data centers over the cheaper components used in everyday consumer electronics.
PC builders and chip nerds aren’t the only ones who will experience RAMageddon. It can affect the price of the phone, i laptop your child needs for school and the graphics card you were hoping to buy without spending a few hundred dollars more than expected.
Why AI data centers are eating up the world’s memory
The memory-chip market is dominated by a small group of companies, mainly SamsungSK Hynix and Micron, the so-called Big Three. Before AI explosionthose companies provide a large number of DRAM and NAND for PCs, phones, game consoles and servers. AI has changed the math.
Jitesh Ubrani, research manager for IDC’s Worldwide Device Trackers, tells CNET, “There’s a lot of memory out there. It’s a big allocation problem.”
HBM is more important than traditional consumer memory because AI companies need it for expensive tools to power accelerators like ChatGPT, Gemini and so on large models. As a result, manufacturers have more incentive to prioritize HBM and server-grade products over low-margin chips in consumer devices.
“The profit margins on memory that go into data centers tend to be very high,” Ubrani said. “Also, that’s why we’re seeing more memory allocated to those companies, which doesn’t leave enough capacity for companies that make (consumer) devices.”
Micron’s move shows just how big that change has been. In December, the company announced that it would be shutting down its core consumer division, a brand that most PC builders know about RAM and SSD upgrades. Micron said the growth of the AI-driven data center has increased demand for memory and storage, and that leaving the consumer business will help it support large strategic customers.
That doesn’t mean that consumer memory disappears overnight. But it means that one of the largest memory companies is freely choosing growth data center customers over consumer products.
OpenAI’s expanded Stargate AI data center in Abilene, Texas.
How AI server demand has become your laptop’s problem
AI memory has been building for a while, but 2026 is when price volatility started to hit average consumers hard. Counterpoint Research says that DRAM prices fell by 80 to 90% in the first quarter of this year compared to the previous quarter.
The shortage is already changing server buying habits. Some supply-chain reports say that server manufacturers are dispatching systems with empty or partially filled memory slots to store orders that go in, while customers wait to add more memory later. Some call this “ghost RAM,” and it shows how far the cramming can go outside of laptops and smartphones.
That server-side pressure eventually comes to the consumer’s end. As memory becomes more expensive, device makers may raise prices, reduce memory or storage, delay new models or do a mix of all three.
“At the end of the day, prices go up for consumers, whether they like it or not,” Ubrani said. “It’s a combination of several budget options, putting down and sometimes just raising the price.”
It’s almost like an AI tax. You may never use a a chatbot on your laptop, but the AI boom may still affect how big that laptop is.
A budget PC can disappear
Ramageddon may hit budget shoppers hard. According to industry analyst Gartner, memory is expected to make up 23% of PC manufacturing costs in 2026, up from 16% in 2025. That may not seem surprising, but low-end laptops run on small margins. When memory consumes a large portion of the manufacturing cost, manufacturers have little room to offer cheaper machines.
“The very low-cost options of the PC market are disappearing,” Ubrani said, giving Chromebooks as an example. “Back then Chromebooks used to cost $200, $300, maybe $400, but now because RAM is so expensive, vendors don’t want to build Chromebooks anymore, or they build fewer Chromebooks.”
Gartner also predicted that an entry-level PC under $500 half will disappear by 2028. A laptop that used to cost $399 or $499 may be hard to find, inefficient, or both.
Instead of updating entry-level lines, companies can focus on premium laptops where they can protect margins. That means fewer good, cheaper options and more pressure on consumers to spend $800 or more.
Businesses can extend their laptop replacement cycles, too. Instead of replacing employee computers every three or four years, IT departments can keep older machines longer and upgrade only employees who need more power. That could increase demand fixed laptops, used parts and memory upgrades.
Test the memory before buying
You know how your favorite bag of potato chips always has the same price but feels empty? We’re seeing that same decline in laptops. To keep the computer close to that $499 price, manufacturers may cut back on areas where most consumers don’t look first.
A laptop line that moved to 16GB as a base configuration may slide back to 8GB. Refreshing the tablet can keep the same amount but reduce the RAM. The phone maker can keep the high memory configuration of the premium models while making the basic version future-proof.
That doesn’t mean the device is bad all the time. But it means you’ll need to check how much memory it has, instead of assuming the new model is automatically better than last year’s version.
AI PCs make the problem anonymous
And here’s the funny kicker: As companies rush to add AI features to computers, they’re pushing a new category AI PCs. But these AI features require more memory to work properly. Microsoft’s Copilot Plus PC require at least 16GB of RAM, while Apple has also pushed new Macs to 16GB as a base Apple Intelligence.
So, at a specific time when memory is more expensive, the industry tries to sell you computers that need more of it. Rising AI PC prices may delay adoption because consumers may put off upgrading.
“Even before ‘Ramageddon,’ AI PCs didn’t take off the way everyone thought they would,” Ubrani said, adding that RAMageddon made that worse. “And now we’re seeing fewer AI PC shipments than anyone previously expected.”
The AI label may not be the biggest draw though. Ubrani says that most people who buy these machines do so “because they have a good amount of RAM and storage, not because they have AI capabilities.”
Should you buy now or wait?
If your laptop or phone is working fine, don’t panic-buy any new technology. But if you’re already planning to upgrade this year, waiting may not save you money. In this market, last year’s model may be a luxury you can’t ignore.
Gartner calls this “memflation,” or memory inflation, and estimates annual DRAM prices will increase 125% by 2026, while NAND flash prices will increase 234%.
Ubrani advises to hold onto your device for as long as possible or use it to its fullest. “Now is the time to consider other options, such as buying a used machine or a refurbished machine.”
Gartner’s report also suggests that meaningful relief from high memory prices may not come until the end of 2027. IDC extends the forecast to 2028. “Prices don’t go down until at least 2028, and even then, we don’t think they will drop much. If you really need a device, if you buy it quickly, it’s better,” Ubrani says.
Even as manufacturers ramp up production, they still have to decide how much capacity goes into HBM, server memory and consumer DRAM, meaning everyday devices may not get relief right away.
The biggest problem you will face is the change in hardware you get for the price. While 8GB of memory was once enough for a basic computer, it probably won’t hold up to new software and AI features. A late 2024 or early 2025 laptop with 16GB of RAM would be a better buy than a 2026 refresh with 8GB and a higher price.
For many people, 16GB should be the minimum with a laptop that you plan to keep for several years. For gaming, creative work or local AI features, 32GB would be better. The amount of memory you get is a much better indicator of how long your device will last than any brand of AI you see on the box.
A word of advice: Don’t let the shiny “new” sticker fool you.
