HSBC CEO Georges Elhedery Says AI Is ‘Transformational’ for Banking, Urges Selectivity on Data Center Financing

Artificial intelligence is a fundamentally transformational technology that is well worth heavy corporate investment, but capital markets must exercise caution and selectivity when funding the massive data center infrastructure underpinning the boom, according to the head of one of the world’s largest financial institutions.

Speaking in an interview with CNBC’s Dan Murphy, HSBC Chief Executive Officer Georges Elhedery described artificial intelligence as a major enabler designed to completely re-engineer and reimagine standard business operations and activities. As the leader of Europe’s largest lender by assets, Elhedery emphasized that the technology goes far beyond mere efficiency gains, noting that it will fundamentally shift operational dynamics within major financial institutions.

"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," Elhedery said during the discussion, adding that the ultimate goal for his institution is to use these advanced systems to systematically re-engineer the bank.

However, while executive enthusiasm for deploying AI internally remains exceptionally high across the global banking sector, Elhedery struck a more cautious tone when discussing the immense physical infrastructure required to sustain the technology. Specifically, when addressing the market frenzy surrounding investments in data centers—the sprawling industrial campuses housing the specialized servers that power cloud computing and complex AI models—he advised discernment rather than an indiscriminate, all-in financial approach.

"One has to be selective," Elhedery warned viewers and market participants. "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."

The cautionary remarks from HSBC’s leadership come at a critical juncture for global financial markets, where the race to build out artificial intelligence capabilities has triggered an unprecedented wave of corporate borrowing and capital expenditure. HSBC, headquartered in London, occupies a unique position within this ecosystem. Ranked by S&P Global last year as the seventh-largest bank in the world and the single largest lender in Europe, the institution boasts assets valued at close to $3 trillion. Crucially, the bank acts simultaneously as a major financier providing capital to the sector and as an active operator of data center infrastructure.

The strategic importance of this sector to traditional financial institutions is clearly articulated in corporate planning documents. In its 2025 annual report, HSBC explicitly stated its ambition to become the leading bank catering to fast-growing transition ecosystems. The report highlighted that the lender’s expanding customer base increasingly spans complex technology areas, including advanced data centers and the broader artificial intelligence sector.

Over the past several years, data center campuses have experienced a staggering multibillion-dollar building boom to keep pace with soaring computational demands. Looking ahead, the sheer scale of the required capital expenditure is projected to reach astronomical heights. According to recent research from McKinsey, global spending on data centers could skyrocket to an astonishing $7 trillion by the year 2030. To finance this unprecedented build-out, major technology firms—often referred to in financial circles as hyperscalers—are increasingly turning to private credit markets and taking on substantial corporate debt to fund the rapid development of new facilities.

Yet, this heavy reliance on borrowing to fuel the artificial intelligence revolution is rapidly becoming a significant source of tension and anxiety within global financial markets. As corporations add massive new debt piles to their balance sheets in a desperate race to secure capacity, the broader macroeconomic environment is simultaneously grappling with soaring capital costs.

The brewing conflict between government borrowing needs and private sector tech financing was highlighted by Mohamed El-Erian, chief economic adviser at Allianz and former CEO of PIMCO. Speaking at the LSEG and Eurasia Group GZERO Summit in London, El-Erian pointed to the intense competition for financing between sovereign states and AI-related companies as a major driver of upward pressure in global bond markets.

"Governments are borrowing what they’re borrowing, plus they’re refinancing debt at a higher level of rates," El-Erian explained during the summit panel. Highlighting the sheer aggression of corporate tech spenders, he added, "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."

This relentless corporate demand for capital coincides with a broader tightening of financial conditions. Bond yields issued by various major global economies have climbed to multi-decade highs amid persistent anxieties surrounding elevated government fiscal deficits, stubbornly mounting national debt levels, fears of sticky inflation, and increasingly hawkish monetary policy stances adopted by major central banks.

The sheer volume of capital pouring into the space is staggering. According to estimates published earlier this year by JPMorgan Chase, an estimated $4.1 trillion in AI-related debt is projected to be issued by the end of the decade. This wave of debt issuance is driven by data center operators and other AI-adjacent corporations aggressively spending to secure the physical capacity needed to train and run next-generation models, leaving financial institutions like HSBC to weigh the immense transformative potential of artificial intelligence against the mounting credit risks of an overheated infrastructure market.