I checked the price of a basic 32GB DDR5 memory kit last week. $400. A year ago, that same kit sold for around $100. If you're building a PC or buying a laptop right now, you already know something's wrong. And if you're waiting for prices to come back down, I've got bad news. They won't. Not for a while.
What Happened
Short version: AI ate all the memory. Long version is messier and honestly kind of absurd.
High-bandwidth memory, HBM, is the specialized RAM used in AI accelerators like NVIDIA's B300 GPU. Each chip needs eight HBM modules. Each module uses 12 stacked DRAM dies (16 for the upcoming HBM4 generation). That's 96 DRAM dies per AI GPU. Multiply that by the hundreds of thousands of GPUs being shipped to data centers right now and you start to see the problem.
What makes it worse is that HBM and regular DDR5 memory for your laptop come from the same DRAM wafers. HBM generates 3 to 5 times more revenue per wafer than consumer memory. So manufacturers are making the obvious business choice. They're prioritizing AI customers. According to tech-insider.org, HBM now consumes about 23% of all DRAM wafers globally. Up from single digits just two years ago.
Data centers will consume an estimated 70% of all memory chips produced in 2026. OpenAI alone reportedly purchased around 40% of the world's DRAM production. One company. Forty percent.
The Numbers
DRAM prices surged roughly 170% from late 2024 through early 2026. From Q4 2025 into Q1 2026, prices jumped 80 to 90 percent quarter over quarter. Many DDR5 SKUs are now 3.5 to 4 times what they cost in mid-2025. DDR4 kits have roughly doubled. Some suppliers are telling customers to plan for 10 to 20 percent monthly increases through the end of 2026.
In Taiwan, the center of global hardware manufacturing, DDR4 kits with 256GB capacity have hit prices above $3,000. That's more than some full high-end PC builds cost eighteen months ago.
A PC builder in Canada shared that they used to buy 32GB DDR5 kits for about $100 CAD. Now those same kits sit at $400 CAD. And even at those prices, supply barely exists. They went from importing over 1,000 kits with no issues to getting about 100 per week.
IDC projects PC prices will rise 4 to 6 percent in their moderate scenario, 6 to 8 percent in their pessimistic one. TrendForce estimates manufacturing costs for mainstream notebooks could jump nearly 40%. Retail increases will be somewhat lower since manufacturers compress their margins, but the consumer still ends up paying.
SK Hynix Overtakes Samsung
One of the most telling shifts in this crisis is the power realignment among memory manufacturers. SK Hynix has surpassed Samsung as the most valuable memory chipmaker, mostly because of its dominant position in HBM. Samsung held the memory crown for decades but was slow to pivot toward HBM manufacturing. Now it's playing catch-up.
Both companies have explicitly said they won't aggressively expand production capacity. Their reasoning? They want to "minimize the risk" of oversupply. A Reddit commenter on r/pcmasterrace put it well: "They're essentially betting that AI will crash before they finish building new fabs." Bringing a new fab online takes 3 to 5 years and costs billions. Samsung and SK Hynix would rather undersupply the market than risk a glut.
Micron, the third major player, reported record-breaking earnings. Revenue has soared as HBM demand pushes margins through the roof. New fab capacity from Micron and SK Hynix won't reach volume production until 2027 at the earliest.
Intel CEO Lip-Bu Tan said there will be "no relief until 2028."
The Industry Is Reshuffling
The shortage has triggered a cascade of deals and strategic moves across the chip industry.
OpenAI partnered with Broadcom to design custom AI chips. AI companies don't want to depend on NVIDIA forever. Custom ASICs give them more control over memory requirements and supply chains.
Qualcomm acquired a company called Modular (or a similar memory-focused startup) for roughly $4 billion, positioning itself to secure memory access for its mobile and edge AI ambitions.
IBM unveiled a 100-billion-transistor AI chip. More transistors means more memory bandwidth needed, which means more pressure on the DRAM supply.
Apple has quietly been adjusting Mac and iPad pricing. No blanket price hike announcement, but configuration pricing has crept upward. Some models now cost more at equivalent specs than they did in late 2024. The rumor mill says a broader price adjustment is coming for the fall 2026 lineup, driven by component costs.
Who's Winning
Memory manufacturers are printing money. SK Hynix, Samsung, and Micron are all posting enormous profits. SK Hynix specifically has seen its stock price and market cap soar past Samsung. Something unthinkable three years ago.
NVIDIA keeps dominating because even though HBM is expensive, their GPUs command such premiums that memory costs are a rounding error on a $30,000 chip.
Cloud providers, Amazon Web Services, Microsoft Azure, Google Cloud, are locking in multi-year memory supply contracts. They have the purchasing power to guarantee supply. Smaller players don't.
Who's Getting Crushed
Regular consumers. PC builders. Gamers. Students buying laptops. Small businesses that need to upgrade servers. Startups that can't afford to lock in massive supply contracts.
The sub-$200 smartphone segment is expected to see a 20% decline in unit volumes. Budget devices are getting squeezed hardest because manufacturers can't absorb the memory cost increases. Entry-level laptops and Chromebooks face the steepest relative price jumps.
Cisco has seen memory costs erode margins by an estimated 200 basis points. Server administrators on r/sysadmin report that organizations are delaying upgrades, buying less memory per server, or turning to refurbished hardware.
One sysadmin wrote: "Many orgs are delaying upgrades that aren't urgent. It's a tough time to be buying unless you have deep pockets."
Developers are getting squeezed from both ends. Cloud compute costs are rising, and the machines they need for local development are more expensive. If you're training models, running containers, or even just running a modern IDE with a decent amount of RAM, you're feeling this.
When Does It End
IDC says RAM prices should stabilize by mid-2027. Counterpoint Research identifies Q4 2027 as the earliest inflection point. Intel's CEO says 2028. Samsung and SK Hynix are deliberately not building enough capacity to meet demand because they don't want empty fabs if AI spending slows.
Many analysts believe prices will never return to 2024 levels. IDC describes the current shift as a "permanent reallocation" of manufacturing capacity toward AI. The structural price floor has moved.
What You Should Actually Do
If you need a new device, buy now. Prices are expected to keep climbing through Q3 and Q4 2026. Waiting for a drop that might not come until late 2027, and might not drop as far as you hope, doesn't make sense if your current hardware is holding you back.
If you can wait, check the refurbished market. Demand for refurbished devices is surging as consumers look for cheaper alternatives. Some solid deals still exist from pre-shortage inventory.
For PC builders: consider 32GB instead of 64GB for now. It hurts. But the per-dollar cost of going from 32 to 64 has roughly quadrupled. You can always add more later when supply normalizes.
For developers: be aggressive about memory optimization. Profile your applications. Reduce container memory limits. Use swap strategically on development machines. These are things we used to tell people to avoid. Now they're pragmatic.
Check RAM specifications carefully before buying a laptop. Some manufacturers are quietly shipping models with less RAM or slower memory while maintaining the same marketing names and prices. Read the spec sheets, not just the product pages.
The Uncomfortable Part
A commenter on Reddit wrote something that stuck with me: "The reason RAM has become four times more expensive is that a huge amount of RAM that has not yet been produced was purchased with non-existent money to be installed in GPUs that also have not yet been produced, in order to place them in data centers that have not yet been built, powered by infrastructure that may never appear, to satisfy demand that does not actually exist and to obtain profit that is mathematically impossible."
Cynical? Sure. Wrong? Not entirely. The AI boom has created a speculative demand spiral in memory. Companies are pre-buying DRAM capacity years in advance based on projected AI workloads that may or may not materialize. Meanwhile, everyone else, the people who actually need RAM to do real work on real computers right now, gets priced out.
This is what happens when an entire supply chain pivots to serve one industry. The memory market has always been cyclical, but this cycle feels different. Concentration of demand in a handful of AI hyperscalers, combined with manufacturers' reluctance to build new capacity, means the squeeze could last years.
Your next laptop will cost more. How much more depends on when you buy and how patient you are. But pretending prices will snap back to 2024 levels is fantasy. The floor moved.
