Memory Chip Shortage Fuels 45% AI Data Center Cost Surge for Google
Big tech AI data center spending is set to reach $600 billion in 2026, with memory chip shortages driving a 45% increase in costs and pressuring Google’s infrastructure budgets. Tesla investor Ross Gerber suggested potential hardware adjustments, underscoring Waymo’s existing LiDAR deployment and highlighting Google’s self-driving edge.
1. AI Data Center Spending and Memory Shortages
Big tech companies are projected to spend $600 billion on AI-optimized data centers in 2026, with nearly half of the spending increase driven by a critical shortage of DRAM, NAND and HBM memory chips. Elevated chip prices are pressuring Google’s infrastructure budgets, potentially impacting its AI rollout timelines and margin targets.
2. Waymo’s LiDAR Advantage Highlighted
Investor Ross Gerber’s suggestion that Tesla may need hardware adjustments underscores the maturity of Waymo’s LiDAR-equipped self-driving suite. Google’s Waymo arm could leverage this sensor advantage to accelerate development and deployment while competitors address hardware limitations.