SMIC: AI Memory Boom Creates Chip Shortage for Smartphones

# SMIC: AI Memory Boom Creates Chip Shortage for Smartphones

Chinese chipmaker SMIC outlined deep structural shifts in the global semiconductor market at a meeting with investors. Demand for memory for artificial intelligence systems is so intense that it has begun to crowd out production of components for more familiar consumer devices, especially mid-range and low-end smartphones. The trend has exposed the fragility of supply chains and shown how quickly a market can reshape itself when a new technology triggers a wave of investment.

The core of the problem is that memory production capacity is not unlimited. When demand for high-performance chips (HBM, GDDR6X and other memory types for AI accelerators) goes through the roof, manufacturers shift resources to those lines, because margins are higher and demand is guaranteed. As a result, low-end and mid-range smartphone makers find it harder to get the memory they need, and when it is available, the price bites. SMIC stated directly that companies face two problems at once: component shortages and higher component costs. This creates a vicious circle: to stay profitable, manufacturers have to raise retail smartphone prices, which makes their products less attractive to end consumers.

The consequences of this imbalance are already visible. When a smartphone gets more expensive, demand for it falls. SMIC recorded exactly that: orders for budget and mid-budget products are declining. In emerging markets, where these devices dominate, people either postpone purchases or look for cheaper alternatives. This is a problem for the whole ecosystem, from chipmakers to retail chains. Meanwhile, orders tied to AI and high-performance memory are, by contrast, growing. SMIC noted that demand for components for AI applications and the mid-to-high price segment keeps increasing, which naturally pulls production capacity in that direction.

This reflects a broader trend in the semiconductor industry: in the age of the AI race, investment and resources are concentrating on advanced, expensive components. That means segments once seen as stable, predictable businesses are now becoming the periphery. Companies such as Qualcomm, MediaTek and other mobile chip makers have to recalculate their strategies. They can no longer count on a guaranteed supply of cheap memory in the volumes they need.

The paradox is that, on one hand, the situation is logical and reflects market reality. AI chips do require investment in new manufacturing processes and memory technologies. On the other hand, it creates a barrier to the mass adoption of smartphones in developing countries, where they remain an important tool for access to the internet and digital services. Resolving this dilemma will require either expanding memory production capacity overall or developing more efficient architectures that need less memory. Until then, the market will remain asymmetric: expensive high-end devices will be plentiful, while affordable smartphones will grow scarcer and pricier.