AI’s memory chip crunch is crushing the smartphone market

Smartphone shipments fell 22% during the September quarter, making it the market’s worst decline on record, according to IDC. The figure measures how many phones manufacturers shipped, not necessarily how many consumers bought. It shows that the pressure reached the industry at a large scale.

The main trigger was memory. Memory chip prices rose 350% over the previous year because AI industry players competed for the same component supply. Higher costs can make phones more expensive to produce, especially cheaper models with limited profit margins.

The decline matters because manufacturers may respond by raising prices or abandoning low-cost phones. IDC also warned that conditions could worsen. The article does not give a later shipment forecast, but its warning suggests the September-quarter drop may not be the bottom if memory costs remain high.

Memory chips are electronic components that hold information inside a smartphone. They support two main jobs: keeping data temporarily available while the phone works, and storing information such as apps, photos, videos, and the operating system. This memory helps the processor access what it needs quickly.

For example, when a user opens several apps, working memory helps keep those apps active. Storage memory holds them and preserves files when the phone is switched off. The exact designs differ, but both kinds are essential to a usable device. More memory can also support heavier software and larger files.

The article focuses on price and availability rather than technical types. It reports that memory chip prices increased 350% in a year because AI industry players competed for memory. That pressure can raise phone costs and make inexpensive models harder to sell.

AI companies compete with smartphone makers because AI systems require memory to hold data, model information, and the instructions used during computing. Large AI hardware deployments can need far more memory than an individual consumer device. The source does not identify particular companies or memory types, but it directly links AI demand with tighter supply.

The mechanism is shared production capacity. Memory makers supply chips to several technology markets. When AI buyers seek more chips, smartphone manufacturers may face less available supply or must pay more to secure it. This competition can affect phones even though smartphones are not AI data centers.

IDC reports that memory prices rose 350% over the past year because of competition from AI industry players. That increase adds pressure to phone manufacturers’ costs. They may then raise retail prices or leave cheaper models behind, while IDC warns that the market decline could worsen.

Memory is one of the components needed to build a smartphone. When its price rises 350%, the phone costs more to manufacture. If the selling price stays unchanged, the manufacturer earns less on each device. Budget phones face the greatest pressure because they usually compete on low prices and have less room to absorb extra costs.

For example, a company might find that a low-cost model no longer covers its production and distribution expenses comfortably. It can raise the phone’s price, use less memory, redesign the product, or stop making that model. The article specifically reports that manufacturers are raising prices and abandoning cheaper models.

This changes the market for consumers. Some buyers may face higher prices, while others may find fewer affordable choices. IDC says smartphone shipments already fell 22% in the September quarter and warns that worse conditions may come if memory costs remain elevated.

When memory becomes scarce or expensive, manufacturers have several choices. They can raise phone prices, accept lower profit, use less memory, redesign products, seek longer-term supply agreements, or delay production. They can also focus on models whose prices and margins better absorb higher component costs.

A budget phone provides a clear example. If its memory bill rises sharply, the company might simplify its specifications or reduce storage. It could keep the same design and charge buyers more. If neither approach works, it might withdraw the model and concentrate on more expensive phones. These options reflect the trade-off between cost, features, and demand.

The article identifies price increases and abandoned cheaper models as current responses. It does not report which other strategies manufacturers are using. Whatever the choice, sustained memory pressure can reduce affordable options and contribute to weaker smartphone shipments.

Component markets often serve multiple industries at once. Memory-chip producers supply technology used in AI hardware as well as consumer electronics such as smartphones. When AI companies and related hardware players demand more chips, they compete with phone manufacturers for available production.

The key mechanism is a supply squeeze. If production cannot expand quickly, extra AI orders leave fewer chips available to phone makers or make them more expensive to obtain. Manufacturers then face higher costs before a phone reaches a customer. The source directly attributes the 350% memory-price increase to competition from AI industry players.

This is why demand for specialized or powerful AI hardware can affect ordinary electronics. The connection is not that phones become AI machines; it is that both sectors depend on memory-chip supply. Higher component prices can lead phone makers to raise prices and abandon cheaper models, contributing to the record shipment decline.

Supply and demand set memory-chip prices. When buyers want more chips than producers can provide, sellers gain pricing power and prices rise. When production exceeds demand, competition among sellers can push prices down. Memory chips serve several technology markets, so a sudden increase in one market can affect the balance for everyone.

Production capacity is not easily expanded overnight. New factories, equipment, and manufacturing processes require time and major investment. If AI hardware buyers increase orders while capacity remains limited, smartphone makers may compete for fewer available chips. That can produce a much larger price movement than the original change in demand.

The article gives a striking example: memory-chip prices increased 350% over the past year. IDC attributes this to competition for memory from AI industry players. The resulting cost pressure contributed to a 22% smartphone shipment decline and could cause further damage.