
汇丰银行首席执行官乔治斯·埃尔赫德里表示,人工智能是一项值得投资的变革性技术,但投资者在投资数据中心时必须谨慎选择。
AI is a transformational technology worth investing in — but investors must be selective when investing in data centers, according to the head of one of the world's biggest banks.
埃尔赫德里周二接受CNBC记者丹·墨菲采访时表示,人工智能是“重新设计和重新构想我们所有业务、所有活动的重要推动力”。
Speaking to CNBC's Dan Murphy on Tuesday, HSBC CEO Georges Elhedery called artificial intelligence "a major enabler to re-engineer and reimagine all our businesses, all our activities."
“由于它给同事们带来的生产力水平,这将把大量权力重新交到他们手中,因此它将是变革性的,我们当然正处于采用它的进程中,”他说,并补充称人工智能将帮助“重新设计银行”。但谈到投资支撑该技术的基础设施时,他建议要有所选择,而不是全力以赴。
"It's going to put a lot of power back in the hands of our colleagues because of the level of productivity it gives them, so it's going to be transformational, and we're certainly very much on a journey to adopt it," he said, adding that AI would help to "re-engineer the bank." But when it comes to investing in infrastructure underpinning the technology, he advised discernment over an all-in approach.
“必须有所选择,”埃尔赫德里说。“必须查看租赁协议的质量。必须查看这些合同的定价。并非所有合同都达到可以大力支持的那种卓越水平。有些可能会更具挑战性。”汇丰银行去年被标准普尔全球评为世界第七大银行和欧洲最大贷款机构,资产接近3万亿美元。这家总部位于伦敦的银行既是数据中心的融资方,也是运营方。
"One has to be selective," Elhedery said. "You have to look at the quality of the tenancy agreements. You have to look at the pricing of these contracts. Not all of them are of that level of virtuosity that you can support strongly. Some of them may be more challenging." HSBC was ranked as the seventh-largest bank in the world and the biggest lender in Europe by S&P Global last year, with assets worth close to $3 trillion. The bank — headquartered in London — is both a financier and operator of data centers.
汇丰银行在其2025年年度报告中表示,计划成为“快速增长转型生态系统的领先银行”,并指出其客户群涵盖数据中心和人工智能领域等领域。
In its 2025 annual report, HSBC said it intends to become "the leading bank for fast-growing transition ecosystems," noting that its customer base spans areas including data centers and the AI sector.
数据中心园区容纳支撑人工智能和云计算的服务器,近年来经历了数十亿美元的繁荣。
Data center campuses house the servers that power AI and cloud computing, and have seen a multibillion-dollar boom in recent years.
据麦肯锡预测,到2030年,全球数据中心支出可能达到7万亿美元,大型科技公司越来越多地利用私人信贷并承担债务来为这些设施的开发提供资金。
Global spending on data centers could reach $7 trillion by 2030, according to McKinsey, with Big Tech increasingly tapping private credit and taking on debt to fund the development of the facilities.
但随着资本成本飙升,企业为争相融资发展 AI 及建设数据中心而不断增加巨额债务,AI 借贷正成为金融市场紧张局势的一个来源。
But AI borrowing is becoming a source of tension in financial markets, as the cost of capital soars and corporations add to huge debt piles as they race to finance AI and the build-out of data centers.
随着债券收益率飙升,渴求债务融资的 AI 公司面临风险加大 本月早些时候,安联首席经济顾问、前皮姆科首席执行官穆罕默德·埃尔-埃里安在伦敦举行的 LSEG 和欧亚集团 GZERO 峰会上发言,强调了政府与 AI 相关公司在融资上的竞争是债券市场压力的一个来源。
Debt-hungry AI companies face increased risk as bond yields spike Speaking at LSEG and Eurasia Group's GZERO Summit in London earlier this month, Mohamed El-Erian, chief economic adviser of Allianz and former CEO of PIMCO, highlighted the competition for financing between governments and AI-related companies as a source of pressure in bond markets.
他说:“政府该借多少就借多少,此外它们还在以更高的利率水平进行债务再融资。[而且] 你有超大规模云服务商,它们去年通过债券融资筹集了 2000 亿美元,今年可能将通过债券融资筹集 1 万亿美元。它们对收益率不敏感,对利差不敏感,因为它们押注的是真正具有变革性的事物。” 在对政府赤字居高不下、债务水平不断攀升以及对顽固通胀和央行更加鹰派的担忧之际,各大经济体发行的债券收益率在 2026 年触及多十年来的高点。
"Governments are borrowing what they're borrowing, plus they're refinancing debt at a higher level of rates," he said. "[And] you have hyperscalers who last year raised $200 billion in bond financing, and are probably going to raise a trillion in bond financing this year. They are yield insensitive. They are spread insensitive because they are betting on something that is truly transformational." Bond yields issued by various major economies have hit multi-decade highs in 2026, amid concerns around elevated government deficits and mounting debt levels alongside fears of sticky inflation and more hawkish central banks.
摩根大通今年早些时候估计,到本十年末,与 AI 相关的债务发行规模将达到 4.1 万亿美元,因为数据中心及其他 AI 相关公司正在大肆投资建设产能。
JPMorgan Chase estimated earlier this year that $4.1 trillion in AI-related debt will be issued by the end of the decade, as data center and other AI-adjacent companies splurge on building capacity.