Mapping the AI Universe

The AI industry has grown increasingly interconnected. In this paper, we map it two ways: first, as a supply chain based on the real-economy flow of goods and services between the public companies that are central to the AI buildout. Second, as a capital and commitment web, based on the flow of equity, debt and purchase commitments that fund the leading public and private companies in the AI buildout.

Neither map is exhaustive and neither is a valuation judgement. Instead, they are designed to illustrate the burgeoning complexity of the AI universe and three features we think matter for investors:

• The connections are highly concentrated, with genuine single points of failure.
• Funding has become increasingly reflective of a closed-loop system.
• While the largest players in the universe are financially robust, they are inherently connected to the capacity-builders that are characterised by leverage and negative cash flows.

Should credit investors be concerned? Yes and no. There is, for example, some mirroring of the mortgage market of 2008: opaque and concentrated exposures, counterparties linked in complex ways that few have mapped, and demand partly underwritten by the same balance sheets that depend on it.

The difference is that the AI buildout features largely cash-generative businesses that are funding real, physical capacity, not synthetic leverage stacked on a deteriorating asset.

That said, whenever there is a flood of money chasing specific sectoral exposure, it is time to be more judicious with your underwriting principles. The central question for a credit investor now is the same one that mattered in 2008: how much of this demand is being underwritten by the same handful of balance sheets, and where are the weak links if the cycle turns?