Goldman Bankers Target Trillions in AI Data Center Financing at 11th Credit Conference
Updated
Updated · Bloomberg · Jun 1
Goldman Bankers Target Trillions in AI Data Center Financing at 11th Credit Conference
4 articles · Updated · Bloomberg · Jun 1
Goldman Sachs bankers made AI data center and power-infrastructure funding the central topic at the firm’s 11th annual leveraged finance and credit conference in Dana Point, California.
Trillions of dollars in expected capital needs are pulling attention toward those projects as artificial intelligence drives demand for new computing capacity and electricity supply.
The shift also reflects a thinner pipeline for debt-backed mergers and acquisitions, leaving leveraged finance practitioners with fewer traditional deal opportunities.
That mix is recasting leveraged finance around AI-linked infrastructure, with data centers emerging as the sector’s dominant financing theme.
Is AI's debt-fueled boom creating systemic financial risks similar to the 2008 crisis?
With billions invested in GPUs that quickly become obsolete, are tech giants building the world's most expensive depreciating assets?
As AI's thirst for power and water grows, who ultimately pays the environmental and economic price?
The $3 Trillion AI Infrastructure Boom: Wall Street’s High-Stakes Bet and Systemic Risks in 2026
Overview
By mid-2026, Wall Street has made AI infrastructure its top priority, overtaking traditional debt deals and transforming global credit markets. This shift is driven by the immense capital needed to build and power next-generation AI capabilities, with trillions of dollars flowing into the sector. Major banks like Goldman Sachs are intensely focused on financing AI data centers, responding to the surging demand for AI services. As a result, investment activity across the sector has soared, marking a fundamental reorientation of financial strategies and highlighting the central role of AI infrastructure in shaping the future of finance and technology.