The Global Memory Crisis: Why Is AI Burning a Hole in Our Pockets?

In recent years we had grown used to a certain comfort zone in the tech world: "Every year, more capacity arrives for less money." For years, riding the tailwind of Moore's Law, we watched the cost per gigabyte melt away. But a storm that began in late 2023 and peaked in 2025 has turned this equation upside down. Today, when we look at the price tag of a new phone or computer in an electronics store, the answer to that nagging "why is this so expensive?" is far more complicated than a simple inflation calculation.

The fire in our pockets, the sky-high price of the computer on our desk, and the fact that we will once again see SD card slots, which we thought were "history", in 2026 phones all share one common culprit: Artificial Intelligence.

Let's take a deep look behind the scenes of the global memory crisis, the "AI tax" and the "storage inflation" awaiting us in the years ahead.

Numbers Don't Lie: The Shock of a 172% Increase

To understand the scale of the memory crisis, we first need to look at what is happening on the ground. 2025 was a historic year for the DRAM (Dynamic Random Access Memory) industry, but for consumers that history was written in "dark" letters.

According to the statistics, DRAM prices rose 172% year over year across 2025. That is a jump rarely seen in the history of tech hardware. In November alone, Samsung, one of the industry's giants, raised memory module prices abruptly by as much as 60%. These hikes created a domino effect across the supply chain, pushing up the cost of everything from the cheapest smartwatch to the most powerful server.

Xiaomi Group President Lu Weibing made this official at the earnings call on November 18, 2025, and warned the industry: "This abnormal rise in memory prices is not unsustainable; on the contrary, it is our new normal. In the products we launch in 2026, we will see serious price increases driven by this cost increase alone."

So what happened that made memory manufacturers suddenly squeeze the taps or raise prices? The answer lies in the occupation of the production lines.

Will the Culprit Please Stand Up: HBM and AI Chips

The roots of this crisis actually lie in a success story. The Generative AI frenzy that started with ChatGPT and swept the entire industry turned a single component into the "holy grail" of the hardware world: HBM (High Bandwidth Memory).

You have probably heard of Nvidia's AI chips such as the H100 and B200. If the GPU is the "brain" of these chips, HBM is their "blood vessels". AI models have to process incredibly large amounts of data at terabytes per second. Standard DDR memory, or the LPDDR memory in our phones, cannot keep up with those speeds. That is why giants such as Nvidia, AMD and Google depend on HBM for their chips.

The problem is that HBM is hard and laborious to produce. Converting a standard DRAM production line to HBM production lowers yields and eats up capacity.

Samsung and SK Hynix, the world's largest memory manufacturers, made a strategic decision in 2024 and 2025: "Nvidia wants tons of HBM from us and pays a fortune for it. Why bother selling cheap phone RAM?"

A large share of their production capacity was pulled away from consumer electronics (DDR4, DDR5, LPDDR5X) and shifted to HBM production destined for data centers. The result? Consumer electronics started to starve.

The silicon that should go into your phone and your computer is now being used in a data center so that ChatGPT can answer you. While we enjoy the comfort of AI, we are paying its "tax" on the hardware side.

Storage Inflation: "No Cheap Space for You"

We see the most concrete reflection of this crisis in storage. Flagship phones had started to standardize on 512GB, even 1TB of storage. But because the prices of memory chips (NAND Flash) have risen in parallel with DRAM, manufacturers have to cut costs.

Here is the picture we will see in 2026:

* Entry-Level Storage Will Drop or Stay Flat: While 256GB should be standard, cost pressure may bring 128GB models back to the shelves. * The Price Gap Will Widen: The price difference between the 256GB and 512GB models, which used to be in the $50-100 range, will climb into the $150-200 range. Physical storage is turning into a privilege of the rich.

The "Glorious" Return of SD Cards

This is where a hero (or anti-hero) that the tech world considered "dead" makes its comeback: the SD card slot.

For years, manufacturers removed SD card slots with excuses like "The inside of the phone is too cramped, we need room for the battery, it breaks water resistance." The real goal was to push us into buying the more expensive internal storage versions. But the memory crisis has deepened so much that the SD card slot is expected to return in mid-range and upper-mid-range phones launching in the second half of 2026.

This is not a nostalgia move. It is a confession from manufacturers: "We can't give you 512GB of internal storage at an affordable price. Here's a slot; go and insert your slow but cheap card yourself."

Replacing fast, integrated and secure UFS storage with slower, externally inserted cards can be seen as a technological "de-evolution". But for our wallets, it will be a necessary way out.

The Real Winner: Cloud Services

The winners of this crisis are not only memory manufacturers but also the cloud storage giants. In a world where physical storage is getting more expensive, Apple (iCloud), Google (Google One) and Microsoft (OneDrive) are rubbing their hands together to sell users "monthly subscriptions".

The scenario is familiar:

1. You buy a new phone, but your budget only stretches to the 128GB model. 2. The storage fills up in two months (because 4K videos and high-resolution photos take up space). 3. Your phone warns you: "Storage full." 4. The solution? Pay X lira a month to expand your cloud storage.

Physical memory is getting more expensive because of AI chips, and that pushes us away from physical memory and locks us into the cloud (once again, the servers of AI companies). The cycle is complete.

2026 and Beyond: What Awaits Us?

The Xiaomi President's warning was only the beginning. 2026 is a candidate for one of the years with the worst "price/performance" ratio in our tech purchases.

* More Expensive Flagships: Phones in the $1,500-2,000 range will no longer be surprising. * Compromises in the Mid-Range: We will see devices with powerful processors but little RAM, good cameras but little storage. * AI Subscriptions: Buying the device will not be enough; we will also have to pay to use its features.

The AI revolution came to make our lives easier. But it looks like the bill for that convenience is being handed to us not only through software subscriptions but also through hardware prices. The cost of being "smart" will be heavier in 2026 than ever before.

If you currently own a device with high capacity and plenty of RAM, take good care of it. Because buying a new one may cost far more than you think.