What is RAMageddon? Why AI is making laptops and phones more expensive

You’ve probably heard people say that AI is coming for your job. But right now it’s coming for you laptop budget.

The latest technological panic has a quite dramatic name: ramageddon. He is referring to the global shortage of memory chips that is driving up the price of laptops, phonesgraphics cards and other devices.

AI Data Centers need huge amounts of memory, especially a high-end type called high-bandwidth memory or HBM. Demand from Big Tech is massive, margins are better, and chipmakers are following the money. The AI ​​industry has become its primary focus, pulling supply toward servers and away from traditional consumer technologies.

So what does this mean for you and how might it affect your next laptop or smartphone purchase? Let’s go further.

What is RAMageddon?

RAMageddon is the nickname given to the AI-driven memory shortage affecting consumer electronics.

Before we get into the technical stuff, a few memory terms can help explain what’s going on.

• RAM, or random access memory, helps your device juggle tasks. More RAM usually means smoother multitasking, faster app switching, and better performance when too many browser tabs are open, because apparently we all live like that now.
• DRAM, or dynamic RAM, is the working memory used by computers, smartphones, servers and graphics cards.
• NAND is the storage memory used in smartphones, flash drives and solid state drives, which are the storage drives inside most modern laptops and desktop computers.
• HBM, or high-bandwidth memory, is a faster and more expensive type of memory used in high-performance AI chips and data centers.

It is in this latter type of memory that AI is changing the market. AI accelerators in data centers count on HBM as it provides chips with rapid access to data during training and running large AI models. As demand for AI grows, memory makers have more reason to prioritize parts for data centers over cheaper parts used in everyday consumer electronics.

PC builders and chip enthusiasts aren’t the only ones feeling RAMageddon. This may affect the price of the phone, laptop your child needs for school and the graphics card you were hoping to buy without spending several hundred dollars more than you planned.

Why AI data centers are consuming the world’s memory

The memory chip market is dominated by a small group of companies, mainly SamsungSK Hynix and Micron, aka the Big Three. Before the AI ​​boomthese companies supplied huge quantities of DRAM and NAND for PCs, phones, gaming consoles and servers. AI has changed the math.

Jitesh Ubrani, research director for IDC’s Worldwide Device Trackers, told CNET: “There’s a lot of memory available. It’s more a question of allocation.”

HBM is more valuable than standard consumer memory because AI companies need it for expensive accelerators that power tools like ChatGPT, Gemini and others large models. As a result, manufacturers have greater incentive to prioritize HBM and server-grade products over low-margin chips aimed at consumer devices.

“Profit margins on data center memory tend to be much higher,” says Ubrani. “That’s why we’re seeing more memory being allocated to these companies, which doesn’t leave enough capacity for companies that make (consumer) devices.”

Micron’s decision shows how serious this shift has become. In December, the company announced the closure of its Crucial consumer division, the brand many PC builders know for RAM and SSD upgrades. Micron said AI-driven data center growth had increased demand for memory and storage, and that exiting the consumer business would help it support larger strategic customers.

This does not mean that consumer memory disappears overnight. But it means one of the largest memory companies is openly choosing higher-growth data center customers over retail consumer products.

How AI Server Request Became Your Laptop’s Problem

The AI ​​memory crisis has been brewing for some time, but it was in 2026 that price volatility began to hit regular buyers harder. Counterpoint Research claims that DRAM prices jumped 80-90% in the first quarter of this year compared to the previous quarter.

The shortage is already changing server purchasing habits. Some supply chain reports indicate that server makers are shipping systems with empty or partially filled memory slots to keep orders flowing, while customers wait to add more memory later. Some call this “phantom RAM” and it shows how compression extends beyond laptops and smartphones.

This server-side pressure eventually finds its way into the consumer aisle. As memory becomes more expensive, device makers may increase prices, reduce memory or storage, delay new models, or combine all three.

“Ultimately, prices go up for consumers whether they like it or not,” says Ubrani. “It’s a combination of fewer budget options, lower specs and sometimes just having to increase the price.”

It’s almost like a tax on AI. You may never even use a chatbot on your laptop, but the AI ​​boom may still affect the cost of that laptop.

The economical PC could disappear

RAMageddon could hit budget shoppers hardest. According to industry analyst Gartner, memory is expected to account for 23% of the cost of building a PC in 2026, up from 16% in 2025. That may not sound dramatic, but low-cost laptops operate on slim margins. When memory represents a larger share of the construction cost, manufacturers have less room to offer cheap machines.

“The very low-cost options in the PC market are disappearing,” Ubrani says, giving Chromebooks as an example. “Whereas 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’re building fewer Chromebooks.”

Gartner also predicts that Entry-level PC under $500 This segment will disappear by 2028. The laptop that previously cost $399 or $499 could become harder to find, less capable, or both.

Instead of refreshing entry-level lines, companies can focus on high-end laptops where they can protect their margins. That means fewer good, cheap options and more pressure on consumers to spend $800 or more.

Businesses can also extend their laptop replacement cycles. Instead of replacing employee computers every three or four years, IT departments can keep older machines longer and upgrade only those employees who need more power. This could stimulate demand for refurbished laptops, used parts and memory upgrades.

Check memory before buying

You know how your favorite bag of chips has stayed the same price but seems half empty? We are seeing the same contraction in the laptop market. To keep a computer close to that $499 price, manufacturers can cut costs where most buyers don’t check first.

A laptop line bumped to 16GB as a base configuration could return to 8GB. A tablet refresh could keep the same price but reduce RAM. A phone maker could reserve higher memory configurations for higher-end models while making the base version less upgradeable.

This does not always mean that the device is defective. But that means you’ll need to check how much memory it has, instead of assuming that a new model is automatically better than last year’s version.

AI PCs make the problem even stranger

And here’s the ironic part: As companies rush to add AI capabilities to computers, they’re coming up with a new class of PC AI. But these AI features require more memory to work properly. Microsoft Copilot Plus PCs require at least 16 GB of RAM, while Apple has also pushed new Macs towards 16 GB as a benchmark for Apple Intelligence.

So, at the exact moment when memory is getting more and more expensive, the industry is trying to sell you computers that need more and more of it. Rising AI PC prices could slow adoption as buyers may delay upgrading.

“Even before ‘RAMageddon,’ AI PCs weren’t doing as well as everyone thought,” Ubrani says, and adds that RAMageddon made the situation much worse. “And so we’re currently seeing fewer AI PCs shipped than everyone expected.”

The AI ​​label might not be the biggest draw anyway. Ubrani says many 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 brand new technology. But if you’re already planning to upgrade this year, waiting might not save you money. In this market, last year’s model might become a luxury you can’t afford to ignore.

Gartner calls this “memflation,” or memory price inflation, and estimates that annual DRAM prices will rise 125% in 2026, while NAND flash prices will rise 234%.

Ubrani advises keeping your device for as long as you need it. You can or get the most out of it. “Now is the time to consider alternatives, such as perhaps purchasing a used device or a refurbished device.”

The Gartner report also suggests that significant relief from high memory prices may not come until late 2027. IDC extends the forecast to 2028. “Prices will not come back down until at least 2028, and even then, we do not think they will fall significantly. If you absolutely need a device, the sooner you buy it, the better,” says Ubrani.

Even if manufacturers increase production, they still need to decide how much capacity will be allocated to HBM, server memory, and consumer DRAM, meaning everyday devices may not see immediate relief.

The biggest problem you’ll face is a change in the hardware you get for the price. Even if 8 GB of memory was once sufficient for a basic computer, it probably won’t suffice as well for newer software and AI features. A late 2024 or early 2025 laptop with 16GB of RAM might be a better buy than a 2026 refresh with 8GB and a higher price.

For most people, 16 GB should be the minimum for a laptop that you plan to keep for several years. For gaming, creative work, or local AI features, 32GB may be better. How much memory you have is a much better indicator of how long your device will last than whatever brand of AI you see on the box.

A word of advice: don’t be fooled by the “new” shiny sticker.