Memory economics: AI chips tighten RAM supply
High‑bandwidth memory (HBM) used in AI servers consumes a larger share of wafer capacity than traditional DRAM. Because manufacturers allocate more silicon to HBM, less wafer area remains for the consumer‑grade RAM that powers PCs and smartphones. The result is a classic supply‑and‑demand squeeze: tighter inventories and higher prices, echoing the broader 2024‑2026 memory shortage.
Samsung’s 2026 AI ambitions
Samsung is positioning itself to ride the AI wave while mitigating the supply pressure it creates.
- Launch of next‑generation HBM4 products, including a top‑tier industry version.
- Expansion of AI‑centric NAND solutions such as high‑performance SSDs.
- Transition to a second‑generation 2 nm process, targeting double‑digit revenue growth.
- Mobile focus with the upcoming Galaxy S26, featuring advanced “agentic AI” capabilities.
Implications for consumers
While AI data‑center demand drives up HBM usage, Samsung’s diversified roadmap aims to keep overall memory supply balanced. However, short‑term RAM scarcity and price pressure are likely to persist until the new production capacity from 2 nm fabs and HBM4 ramps up.