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HSBC CEO warns the AI boom won't make every data center a good bet
* HSBC CEO Georges Elhedery told CNBC that data center deals hinge on the quality of tenants and contract pricing. * Global data center spending could reach $7 trillion by 2030, McKinsey estimates. * Hyperscalers' growing bond issuance is adding to competition for financing, Mohamed El-Erian has
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HSBC CEO Georges Elhedery urges selective data center financing
Georges Elhedery said contract quality and pricing vary across projects, even as he called AI transformational Georges Elhedery, CEO of HSBC, told CNBC on Tuesday that investors should be selective when financing data centers. He made the comment while describing artificial intelligence as a
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HSBC CEO Georges Elhedery cautioned investors to be selective when financing data centers despite calling AI transformational. He emphasized the importance of evaluating contract pricing and tenant quality as global data center spending could reach $7 trillion by 2030, while hyperscalers raise trillions in debt.
HSBC CEO Georges Elhedery issued a stark warning to investors: not every data center project deserves funding, even as AI drives unprecedented demand for infrastructure. Speaking to CNBC, Elhedery stressed that selective data center financing is critical. "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," he explained
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. His comments come as global data center spending barrels toward $7 trillion by 2030, according to McKinsey estimates1
.Despite his cautious stance on infrastructure investment, Elhedery remains bullish on AI itself. He described the technology as "a major enabler to re-engineer and reimagine all our businesses, all our activities," noting it would deliver significant productivity gains to HSBC staff
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. The London-based bank, ranked seventh globally and first among European lenders with nearly $3 trillion in assets, both finances and operates data centers1
. HSBC's 2025 annual report positioned the bank to become "the leading bank for fast-growing transition ecosystems," highlighting data centers and AI among key client sectors2
.The AI boom has triggered a massive surge in borrowing that's rattling bond markets. Mohamed El-Erian, chief economic adviser at Allianz and former PIMCO CEO, highlighted mounting pressure at the GZERO Summit in London. He pointed to hyperscalers raising $200 billion through bond sales in 2025, with projections suggesting they'll secure $1 trillion in 2026
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. "They are yield insensitive. They are spread insensitive because they are betting on something that is truly transformational," El-Erian said1
.This aggressive AI-related financing is colliding with government borrowing needs, creating competition for capital. Bond yields across major economies have climbed to multi-decade highs in 2026 amid concerns about elevated government deficits, mounting debt, sticky inflation, and increasingly hawkish central banks
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. JPMorgan Chase projects that $4.1 trillion in AI-related debt will be issued by decade's end as data center operators and adjacent companies race to build capacity1
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Elhedery's emphasis on contract pricing and tenant quality reflects growing recognition that the AI boom won't lift all boats equally. Data center campuses house the servers powering AI and cloud computing, making them essential infrastructure for the transformational technology
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. However, Big Tech's increasing reliance on private credit and debt to fund facility development has introduced new risks1
.Investors must scrutinize whether tenant agreements provide stable, long-term revenue and whether pricing reflects actual value rather than speculative hype. As the cost of capital soars and corporations pile on debt, poorly structured deals could become liabilities. Elhedery's warning suggests that while AI represents a genuine opportunity to boost productivity and reimagine business operations, the infrastructure supporting it requires careful evaluation. Watch for increased scrutiny of data center fundamentals as financial markets digest trillions in new issuance and competition for financing intensifies between governments and hyperscalers betting on AI's future.
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