Moody's: $3 Trillion Needed for Data Centers by 2030 Amid AI Investment Surge

New York | EcoPulse24

According to Bloomberg, Moody's credit rating agency estimates that investments of no less than $3 trillion will flow into data centers over the next five years, driven by the rapid expansion of artificial intelligence and cloud computing. This represents one of the largest global capital expenditure trends through 2030.

A report released Monday notes that these investments will be allocated across servers, computing equipment, data center facilities, and the new power generation required to operate them. Moody's indicates that a significant portion of the funding will come directly from major technology companies, which are facing unprecedented demand for computing capacity and energy.

Six major U.S. tech firms - Microsoft, Amazon, Alphabet, Oracle, Meta, and CoreWeave - are expected to reach $500 billion in data center investments within a single year, according to Moody's. Banks will play a pivotal role in financing, alongside growing involvement from institutional investors to meet enormous capital needs.

Regarding financing structures, Moody's expects more U.S. data centers to turn to the asset-backed securities (ABS) market, commercial mortgage-backed securities (CMBS), and private credit for debt refinancing. After record issuance levels in 2025, the volume and focus of new financing are expected to grow. In the U.S. ABS market specifically, issuance reached about $15 billion in 2025, with significant growth anticipated this year, fueled by loans for data center construction.

However, the substantial debt needed to support the AI boom has raised concerns about a potential bubble that could harm equity and credit investors if some technologies fail to meet high expectations. Still, Moody's sees no slowdown in demand for new capacity, describing the race as still in its early stages, with global growth expected over the next 12 to 18 months and sustained demand over the coming decade, despite uncertainties in adoption pace.

Analysis
Moody's figures reveal a structural shift in global investment - from software to computing infrastructure and energy. While risks of leverage and over-exuberance exist, the broad demand base and multiple financing channels reduce the risk of near-term bottlenecks. The real challenge will be aligning capacity with returns and managing the credit cycle to ensure the AI boom translates into sustainable growth rather than a financial bubble.