Global Memory Shortage to Last Until 2030: How AI Demand is Raising Tech Prices in Europe

The clearest evidence of the industry's changing economics comes from the contracts manufacturers are signing.

South Korea's SK hynix says its DRAM and high-bandwidth memory capacity is virtually sold out through 2029. Demand for HBM, the specialised memory used alongside powerful AI processors, is running at roughly twice available supply.

The company has entered long-term framework agreements with 14 major technology customers, committing more than half its production capacity for 2027 and 2028.

Samsung expects long-term agreements to account for 60 to 70 per cent of its capacity through 2030. Micron has sold out its entire 2026 HBM inventory and already committed approximately three-quarters of its 2027 output.

These arrangements provide manufacturers with something they have historically struggled to secure: predictable demand across several years.

They also change the position of customers outside the AI infrastructure market.

A PC manufacturer cannot necessarily obtain more memory simply by offering a higher price when much of the available production has already been reserved. Smaller buyers face a particularly difficult market, competing for the remaining capacity against companies with substantially greater purchasing power.

Long-term agreements do not guarantee stable prices, either. Contracts can fix volumes while allowing quarterly price adjustments. Even major customers with established supply relationships, including companies such as Apple, remain exposed to rising component costs.

The shortage is therefore partly a question of physical production and partly one of market access.

Why AI Is Making Ordinary Computers More Expensive

AI infrastructure consumes enormous quantities of memory, particularly HBM, which delivers the bandwidth required by processors training large language models.

Producing that memory is commercially attractive. But semiconductor manufacturing capacity is finite, and expanding output of specialised AI components can reduce the resources available for conventional DRAM and other products.

The effects are already visible in wholesale prices.

DDR4 8Gb DRAM has risen from $6.30 to $26 over the past year, an increase of more than fourfold. Prices for 128Gb MLC NAND flash have climbed approximately eightfold to $30.61.

Newer memory is becoming more expensive as well. In October, contract prices for 16GB DDR5 modules increased 11.3 per cent to $275, while 8GB modules rose 24.1 per cent to $165.

Industry researcher TrendForce expects NAND contract prices to increase another 15 to 20 per cent during the fourth quarter of 2026.

The distinction between different memory technologies matters. HBM is not interchangeable with the memory installed in a consumer laptop, and NAND flash serves a different purpose from DRAM. Yet the markets are connected through manufacturing investment, production priorities and the allocation of scarce industrial capacity.

When manufacturers direct more resources towards high-margin AI and enterprise products, the supply available to other customers becomes tighter.

The result is that spending on AI infrastructure is increasingly influencing the cost of hardware purchased by people and businesses with little direct involvement in artificial intelligence.

The Squeeze Reaches Smartphones and Graphics Cards

Graphics cards offer one of the most visible examples of the shortage spreading beyond data centres.

Manufacturers have shifted production priorities towards HBM and server DRAM, contributing to tighter supplies of GDDR memory used in graphics hardware.

Prices for Nvidia's RTX 5000 series have consequently risen sharply, with the second-hand market following.

Between August and October 2026, median used prices across ten Nvidia graphics-card models increased between 19 and 30 per cent. Used RTX 5090 cards have sold for more than $6,500, while the RTX 5060 Ti 16GB has reached $618 against a recommended retail price of $429.

Ordinarily, second-hand components offer buyers an escape from expensive new hardware. That option becomes less attractive when scarcity pushes demand towards existing equipment.

Smartphones face a different problem.

In budget and mid-range devices, memory can account for almost half the bill of materials. Manufacturers operating on narrow margins have limited room to absorb steep increases without raising retail prices or changing product specifications.

The pressure is particularly acute at the cheaper end of the market, where even relatively small increases in production costs can undermine a device's commercial viability.

Global smartphone system-on-chip shipments fell 21 per cent year on year in the third quarter of 2026, with full-year shipments projected to decline by 20 per cent.

That decline cannot be attributed solely to memory prices on the available evidence. Nevertheless, it illustrates the weakness of a market now facing substantial additional component costs.

Manufacturers must decide whether to protect margins through higher prices, reduce hardware specifications or accept lower profitability.

None offers an easy answer for companies whose competitive advantage depends on delivering capable devices at low prices.

Why the Shortage Will Not Disappear Quickly

Semiconductor production cannot respond to rising demand as quickly as software companies can expand their services.

A new memory fabrication plant typically requires three to five years between the start of construction and commercial wafer production. Such projects also demand billions of dollars in investment.

The industry's recent history has made the situation more difficult.

During the semiconductor downturn of 2022 and 2023, weak memory prices encouraged manufacturers to reduce capital expenditure. Those decisions made commercial sense in a depressed market but left less spare capacity when AI demand accelerated.

The current shortage therefore combines a delayed investment response with a rapid change in the type of memory customers want.

Building additional factories may eventually ease the pressure. It cannot immediately release production capacity already committed under long-term contracts.

Alternative memory architectures could also alter future demand, but the briefing provides no evidence of a technology capable of replacing conventional DRAM, NAND and HBM at sufficient scale before 2030.

This makes the present crisis different from a conventional inventory shortage.

Manufacturers are not simply waiting for warehouses to refill. They are making multi-year decisions about which customers and products will receive capacity from an industry whose expansion takes years.

Whether today's elevated prices become a permanent feature of the market will depend on future investment and demand. For the remainder of the decade, however, the supply commitments already announced leave little room for a rapid return to cheaper components.

Europe Has a Semiconductor Strategy, but a Memory Problem

The European Union's Chips Act was designed to strengthen the bloc's semiconductor capabilities and reduce its dependence on external suppliers.

Its priorities, however, do not fully address the current shortage.

European semiconductor investment has concentrated largely on advanced logic chips, power electronics and automotive microcontrollers. High-volume DRAM and NAND production has received comparatively little direct attention.

That leaves European businesses dependent on Asian memory supply chains at precisely the moment when major producers are reserving substantial portions of future output for large enterprise customers.

European companies anticipate shortages of GPUs, memory and storage for AI workloads through late 2028.

The implications extend across sectors. Businesses modernising industrial systems need computing capacity. Public institutions developing digital services need servers and storage. European AI projects require access to the same memory-intensive infrastructure being purchased by global technology groups.

Higher component costs make each of those investments more expensive.

Germany's experience during earlier semiconductor disruptions offers a warning about the broader economic exposure. Industrial losses associated with chip shortages between 2021 and 2023 have been estimated at €102 billion.

That figure is not a forecast for the present crisis, but it illustrates how semiconductor supply problems can spread through an economy far beyond electronics manufacturers.

Europe's vulnerability is also different from that of a company facing a temporary procurement problem. Individual businesses may negotiate longer contracts, accept higher prices or postpone investment. An entire region cannot easily compensate for the absence of domestic memory manufacturing.

The New Divide in Computing

The emerging market structure favours companies able to commit capital years before they need the finished chips.

Memory manufacturers gain more predictable revenue and stronger pricing power. Large AI infrastructure operators obtain priority access to components that competitors may struggle to secure.

Consumer hardware companies and smaller enterprise customers face the opposite conditions: less flexibility, higher costs and greater uncertainty about future supplies.

For consumers, this could encourage longer replacement cycles as PCs, smartphones and other electronic devices become more expensive to purchase and upgrade.

For businesses, the consequences are potentially more significant. Decisions about adopting AI, expanding cloud infrastructure or modernising industrial equipment may increasingly depend on access to hardware rather than software capabilities alone.

The European Commission's semiconductor strategy has sought to make the region less vulnerable to external supply disruptions. Yet the memory shortage exposes a gap between increasing semiconductor production generally and securing the particular components needed by a rapidly changing technology industry.