In short : Hyperscalers & data center operators will issue an estimated $4t in debt over the next five years to finance AI infrastructure. This credit expansion equals 286% of US commercial paper, 143% of global private credit, & 91% of the US municipal bond market, transforming AI infrastructure into a macroeconomic credit cycle.

Over the next five years, US data center capacity will grow from 25 gigawatts to 70 gigawatts, part of a global buildout costing roughly $5t.

Where will the money come from?

Data centers are built as real estate projects with some equity, but the majority debt : typically 70% or more. Assuming we achieve our plans to build all these data centers, is there enough debt available in the credit markets to finance it?

To understand the magnitude, I compared the $4t of new AI debt to the sizes of the world’s primary credit markets. The AI buildout represents a 34% expansion of the US corporate bond market.

At this scale, data center debt triples the outstanding commercial paper market, grows larger than the global private credit market, & equals 91% of the US municipal bond market.

For decades, the $4.4t municipal bond market has financed the physical buildout of American roads, bridges, water systems, & airports. It also raises the question of whether municipalities seeking economic growth will use municipal bonds to fund some of these data centers, much like power plants.

All of this debt needs to be serviced from profits : annual AI revenue must exceed $1.2t to $1.5t by 2030 across software, tokens, & enterprise automation.

Today, annualized AI data center revenue across all cloud providers & model labs is estimated at $100b to $200b.

Reaching $1.35t from roughly $150b today requires a 55% compound annual growth rate (CAGR) over the next five years. By comparison, hyperscalers currently grow between 37% & 82% annually (AWS at 37%, Azure at 43%, & Google Cloud at 82%) ; but the growth is accelerating.

For perspective, the global enterprise software market totals roughly $1.4t today, out of an estimated $9t in worldwide IT spending in 2030.

Financing the AI infrastructure boom is no longer a venture capital or corporate earnings story. It is a macroeconomic credit event that will rival the largest debt expansions in financial history.