AI-Driven Memory Shortage Upends IT Budgets

2026-06-10 · Source: Big Data & AI News - EE Times · Field: Business & Management — Operations & Process Management, Corporate Strategy & Leadership · Depth: Intermediate, medium

Summary

An AI-driven memory shortage is significantly impacting IT budgets, with Gartner reporting server costs increased over 125% in the first half of 2026 due to 50-200% memory price hikes. This crisis, fueled by massive AI infrastructure demand for DRAM and NAND flash, has led to record profits for top memory manufacturers like Samsung, SK Hynix, Kioxia, Micron, and SanDisk, whose combined NAND flash revenue jumped 83.7% to over \$38.9 billion in Q1 2026. The supply squeeze is expected to continue until at least 2027, as new production capacity is limited and existing capacity shifts, not expands, global supply of standard memory. Cloud service providers are also passing these increased hardware costs to enterprise customers.

Key takeaway

For IT supply chain leaders navigating the AI-driven memory shortage, you must adapt procurement strategies to preserve budget flexibility. Avoid long-term, fixed-price commitments, instead signaling demand early and making monthly or quarterly purchases. Prioritize workloads to reserve premium infrastructure for critical AI tasks, and scrutinize cloud service price increases, demanding justification for any pass-through costs. This approach helps mitigate financial risks until market stability returns, likely after 2027.

Key insights

The AI boom is causing a severe memory shortage, driving up IT costs and manufacturer profits, with no immediate supply relief.

Principles

• Memory market volatility requires flexible procurement.
• Long-term commitments risk locking in high prices.
• Supplier investments do not guarantee near-term relief.

Method

Companies should build 12- to 24-month demand forecasts, signal demand early, and make actual purchase commitments monthly or quarterly, not annually.

In practice

• Delay non-essential hardware upgrades.
• Utilize secondary market for lower-priority workloads.
• Scrutinize cloud service price hikes.

Topics

• AI Infrastructure
• DRAM Shortage
• NAND Flash
• IT Procurement
• Server Costs
• Supply Chain Management
• Cloud Services Pricing

Best for: CTO, VP of Engineering/Data, Executive, IT Professional, Operations Professional, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Big Data & AI News - EE Times.