Artificial intelligence represents a transformational technological shift that is well worth corporate investment, but financial backers must exercise a high degree of selectivity when funding the data centers that underpin the sector, according to the head of one of the world’s largest banking 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 fundamentally re-engineer and reimagine business operations and activities across the global financial landscape.
Elhedery emphasized that the technology is poised to empower employees significantly by elevating productivity levels across the board. Because of this profound operational impact, he noted that the institution is actively pursuing adoption strategies aimed at transforming how the bank functions from the ground up.
However, when the conversation shifts from software adoption to the massive physical and financial infrastructure required to power artificial intelligence, Elhedery struck a note of caution, advising lenders and investors to practice discernment rather than pursuing an indiscriminate, all-in financing approach.
Evaluating the quality of tenancy agreements and closely inspecting the pricing structures of individual contracts are critical steps before committing capital, Elhedery explained. He warned that not every infrastructure project possesses the level of financial stability and operational quality required for strong institutional support, noting that some ventures may present distinct structural challenges.
Headquartered in London, HSBC holds a massive footprint in the global financial system. According to S&P Global data from the previous year, it ranks as the seventh-largest bank globally and stands as the single largest lender in Europe, boasting total assets valued at close to $3 trillion. Beyond its traditional banking operations, HSBC functions in a dual capacity as both a financier and an active operator of data center infrastructure.
The bank’s strategic focus on the sector is formally codified in its corporate planning. In its annual report, HSBC outlined its ambition to establish itself as the premier banking partner for fast-growing transition ecosystems, highlighting a diverse customer base that directly intersects with data center operations and the broader artificial intelligence industry.
Data center campuses—vast facilities packed with the high-performance servers necessary to drive cloud computing and artificial intelligence workloads—have experienced an extraordinary, multibillion-dollar real estate and capital expenditure boom over recent years.
Projections from management consultancy McKinsey indicate that global spending dedicated strictly to data center build-outs could skyrocket to an astonishing $7 trillion by the year 2030. To meet these staggering capital requirements, major technology firms, often referred to as hyperscalers, are increasingly turning to private debt markets and taking on substantial financial leverage to fund the construction and expansion of these specialized facilities.
Yet, this rapid accumulation of AI-related borrowing is quickly becoming a significant source of tension within global financial markets. As the broader macroeconomic environment contends with soaring costs of capital, major corporations are aggressively expanding their debt profiles in a high-stakes race to secure the physical capacity needed to dominate the artificial intelligence landscape.
Addressing these emerging pressures at the GZERO Summit in London, hosted jointly by LSEG and Eurasia Group, Allianz Chief Economic Adviser and former PIMCO CEO Mohamed El-Erian pointed to the intense competition for capital between sovereign governments and AI-driven enterprises as a major catalyst for strain across international bond markets.
El-Erian noted that governments find themselves in a challenging fiscal position, simultaneously borrowing heavily to fund ongoing deficits while refinancing maturing debt at considerably higher interest rates. At the same time, he observed, major technology hyperscalers raised roughly $200 billion in bond financing last year and are on a trajectory to potentially secure a trillion dollars in bond financing within the current year.
According to El-Erian, these technology giants are operating as yield-insensitive and spread-insensitive market participants because they are placing massive bets on a technological paradigm shift that they believe will be profoundly transformational.
This insatiable corporate appetite for capital coincides with a period of broader market anxiety. Benchmark bond yields issued by numerous major global economies climbed to multi-decade highs amid persistent concerns over elevated government budget deficits, mounting national debt trajectories, sticky consumer inflation, and increasingly hawkish monetary policy stances adopted by major central banks.
The sheer scale of the upcoming debt issuance is underscored by forecasts from Wall Street. Earlier this year, financial giant JPMorgan Chase estimated that approximately $4.1 trillion in artificial intelligence-related debt will be issued before the end of the decade, driven by data center developers and adjacent technology firms aggressively splurging to build out long-term infrastructure capacity.
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