RAM

Micron’s CEO said in October 2026 that RAM shortages could persist into 2028, capping a coverage shift from device specifications to AI-driven supply pressure.

Who they are

RAM appears in this coverage as a core computing-memory component rather than as a standalone vendor: a specification, capacity constraint, and upgradeability issue across Apple Macs, Google phones, PCs, gaming handhelds, and AI-capable systems. Stories regularly pair it with CPUs and GPUs, especially in coverage of Apple, Intel, Google, Microsoft, Samsung, MacBook Pro, and Mac hardware.

The recent arc

Coverage reached its all-time quarterly high in 2026 Q3, when RAM became more than a line item in product launches. Reviews and announcements still emphasized capacity, including a Mac Studio with 256GB for local AI agents, Googlebooks with 16GB to 64GB configurations, Dell’s 14S starting at 8GB, and Samsung’s Galaxy S26 FE with 12GB.

The sharper phase change is supply and price pressure driven by AI infrastructure. IDC-linked coverage says AI data-center demand is outstripping memory supply and pressuring the PC market, while the latest Micron comments say shortages may last into 2028 and customers will pay much higher prices. That follows a 2025 turn toward local AI requirements, exemplified by OpenAI’s gpt-oss-20b needing 16GB or more to run locally.

The tension

The central tension is between expanding memory needs in AI data centers and AI-enabled devices, and the finite supply available to the wider PC and consumer-device market. Apple’s move to make 16GB standard on M2 and M3 MacBook Air models, alongside high-memory Mac Studio positioning, illustrates rising baseline expectations, while HP says memory’s share of PC bill-of-materials costs has risen and may continue climbing. Coverage also contrasts capacity with repairability: the Framework Desktop review flags soldered RAM, echoing earlier criticism of non-replaceable RAM in Apple’s 2014 Mac mini.

Why it matters

If AI demand continues to absorb memory supply, RAM could increasingly shape device pricing, default configurations, and which systems can credibly run local AI workloads, rather than merely differentiate premium models. The outcome remains uncertain: vendors may respond through higher prices, altered product mixes, or greater standard memory, but the corpus shows PC makers already facing a cost problem as buyers and software push capacity requirements upward.

Related: Apple · CPU · GPU · Mac · Google · MacBook Pro