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Citi research warns AI model progress outpacing data center infrastructure capacity

Citi's research team flagged a widening gap between frontier AI model capability gains and data center scaling, suggesting training and inference bottlenecks ahead. Implies accelerating capex demands and cloud-provider dependency.

WHY IT MATTERS

Banks planning large-scale LLM deployments (trading, risk, compliance) must front-load GPU/infrastructure investment; vendor lock-in and supply constraints will drive costs and timelines.

Source: Citi / Investing.com · 2026-10-09

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Citi research warns AI model progress outpacing data center infrastructure capacity — ath — AITechHive