以贸易融资解锁数据中心超级周期

关键论点

• 到2030年AI相关资本支出预计达3.8万亿美元，其中大部分投向数据中心。
• 电力供应是主要制约因素；并网审批可能耗时数年，近40%的美国项目面临延迟。
• 备用信用证、库存融资和出口机构融资等贸易融资结构可降低风险、保持流动性并加速项目时间表。
• 公用事业面临资产搁浅风险：2000年至2020年间约75%的申请并网容量最终被撤回。

对应原文证据

1. •Power access is now the industry’s biggest constraint, delaying nearly 40% of U.S. data center projects.
2. •Citi’s experience delivering tailored trade finance solutions may offer clients an alternate source of funding that can help secure scarce power capacity, manage semiconductor supply constraints, and accelerate infrastructure buildout while preserving liquidity.
3. Citi Research estimates AI-related capital expenditure will reach $3.8 trillion by 2030 (see Figure #1) , with the majority directed toward data center development. · 2030