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August 07, 2026
Partner, Chief Economist
In business, profit margins are frequently higher for the owner of the end-customer relationship.
But that is not the case for AI. In AI, profit margins are higher the further you get from the end user, see chart below.
This is important because it means the AI boom's profits are currently being funded by investors rather than earned from customers. The upstream margins are real, but they are paid for out of capital raised by the layer losing money, not out of cash generated by end demand. That makes the 41% contingent on the -59% continuing to be financeable.
The bottom line is that the most profitable part of the AI value chain depends on the least profitable part continuing to grow revenue or raise capital. Capital can bridge the gap for a while, but not indefinitely. And therein lies the risk: will the ROI show up for AI's end customers fast enough to sustain the spending that is generating those upstream margins?
Note: Data as of 2Q 2026 and for OpenAI (1Q 2026 estimate from PitchBook) and Anthropic (2Q 2026 estimate from Financial Times). Averages are equal-weighted bucket averages of Energy & Grid (Constellation Energy, Vistra, NextEra Energy, Vertiv, Eaton, Arista Networks), Silicon & Equipment (Nvidia, AMD, Broadcom, Marvell, TSMC, SK Hynix, Samsung Electronics, Micron), Compute & Cloud (Super Micro, Dell Technologies, Foxconn, Equinix, Digital Realty, Amazon/AWS, Microsoft/Azure, Alphabet/Google Cloud, CoreWeave, Nebius) and Models & Applications (OpenAI, Anthropic). Sources: Bloomberg, PitchBook, Apollo Chief Economist
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