AI data center build-out faces bottlenecks beyond $1 trillion in cash

Industry Impact 4
โดย Yahoo Finance·GLOBAL·Read original
Summary · why it matters

Goldman Sachs estimates hyperscaler spending on AI data centers will reach $1 trillion globally in 2026, but analysts warn that cash alone cannot overcome the build-out's bottlenecks. JPMorgan forecasts $697 billion in US spending, and Bank of America sees a path toward roughly $1.2 trillion by 2027, yet chip shortages, skilled labor scarcity, regulatory moratoria, and a projected 19-gigawatt power shortfall by 2035 threaten the pace of expansion. Canaccord Genuity analyst George Gianarikas said data center companies' ambitions to secure power for training algorithms will not happen at the pace they expect, citing protests and pauses across the country. Wood Mackenzie reported that utilities and grid operators may approve only 28% of requested power due to phantom applications and less-experienced operators, while hyperscalers like Amazon and CoreWeave insist demand far exceeds supply.

Impact on stocks 8

Artificial Intelligence▲ · 3 stocks
Amazon.com Inc
AMZN
± MixedDemandrelevance

Amazon is mentioned as a hyperscaler insisting demand exceeds supply, but the article focuses on bottlenecks that could hinder its AI data center expansion.

CoreWeave, Inc. Class A Common Stock
CRWV
± MixedDemandrelevance

CoreWeave is mentioned as a hyperscaler insisting demand exceeds supply, but the article focuses on bottlenecks that could hinder its AI data center expansion.

Financials▲ · 2 stocks
Energy Transition & Power Demand▲ · 2 stocks
Digital Finance & Tokenization▲ · 1 stocks

Theme Impact 6

Off-coverage companies 2

Canaccord Genuity Group Inc.Private± Mixed
relevance

Wood MackenziePrivate± Mixed
relevance

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