# HBM memory shortage deepens as AI demand consumes 70% of global chip supply

> The memory crunch powering AI is getting worse. High-bandwidth memory, the specialized stacked DRAM that feeds data to AI accelerators, is now so in demand that AI data centers are estimated to consume around 70 percent of the world's memory chip supply, pushing manufacturers to pivot production away from ordinary consumer DRAM. The problem is baked into the physics of making the stuff. HBM reportedly eats about three times the wafer capacity of standard DRAM for the same output, so every chip diverted to AI leaves an outsized hole elsewhere. SK Hynix has warned the shortage could stretch well into the 2030s, and analysts at IDC expect 2026 DRAM growth of only about 16 percent, well below the historical norm. For technologists this is the unglamorous constraint behind the AI boom. It means pricier laptops, phones, and graphics cards as consumer parts get deprioritized, and it hands enormous leverage to the handful of firms that can actually fabricate HBM. The bottleneck on AI right now is not ideas, it is memory.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: EnkiAI · Published Sunday, August 16, 2026_

## Wortins' read

The memory crunch powering AI is getting worse. High-bandwidth memory, the specialized stacked DRAM that feeds data to AI accelerators, is now so in demand that AI data centers are estimated to consume around 70 percent of the world's memory chip supply, pushing manufacturers to pivot production away from ordinary consumer DRAM. The problem is baked into the physics of making the stuff. HBM reportedly eats about three times the wafer capacity of standard DRAM for the same output, so every chip diverted to AI leaves an outsized hole elsewhere. SK Hynix has warned the shortage could stretch well into the 2030s, and analysts at IDC expect 2026 DRAM growth of only about 16 percent, well below the historical norm. For technologists this is the unglamorous constraint behind the AI boom. It means pricier laptops, phones, and graphics cards as consumer parts get deprioritized, and it hands enormous leverage to the handful of firms that can actually fabricate HBM. The bottleneck on AI right now is not ideas, it is memory.

## Source

[Read the full story at EnkiAI](https://enkikai.com/data-center/2026-memory-crisis-the-ai-bottleneck-crushing-tech-supply/)

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