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Advait Jayant
Report

The AiFi Thesis: Financing AI Compute as an Asset Class

The argument that AI compute stops being a cloud line item and becomes something capital markets finance directly. Then Oracle, Blackstone, and AWS made it look obvious.

Advait JayantLondon

The AiFi Thesisis a research report I wrote with co-authors from Peri Labs and GAIB, published in February 2025. AiFi is shorthand for the collision of AI and finance, and the report's claim was specific: AI compute stops being just another cloud line item and becomes an asset class that capital markets finance directly, the way they finance power plants, ships, and real estate.

Three legs carried the argument:

The receipts

The report was published on 28 February 2025. What followed:

Read the report

Download The AiFi Thesis (PDF) ↗ The report is indexed on Google Scholar.

How it connects

The AiFi Thesis is the financing leg of the same worldview behind The State of Edge AI (where the compute lives) and The Economics of Wash Trading (what happens to market integrity when trading meets programmable incentives). The full set of research pages lives in the research hub.

Frequently asked questions

What is the AiFi Thesis?
A 2025 research report by Advait Jayant with co-authors from Peri Labs and GAIB arguing that AI compute becomes a directly financeable asset class, with capital markets funding capacity the way they fund energy and real estate, and that AI agents need native payment rails.
What did the AiFi Thesis predict correctly?
Two headline calls: that AI compute capacity would be financed directly by capital markets (Oracle raised billions in debt for AI cloud infrastructure; Blackstone filed a public vehicle for data centres), and that agent-to-agent payments would get first-class rails (AWS launched AgentCore Payments with Coinbase and Stripe).
Where can I read the AiFi Thesis?
The full PDF is free, hosted by Peri Labs and linked from this page, and the report is indexed on Google Scholar.
About the author

Advait Jayant researches market microstructure and manipulation in crypto and NFT markets. His solo-authored paper The Economics of Wash Trading (SSRN 4610162) has been cited in the Journal of Banking & Finance, the European Journal of Finance, and an NBER working paper. He is an alumnus of London Business School, where he completed two master’s degrees (an M.Res. in Business and Management Studies and a Master of Analytics and Management) and was enrolled in the PhD programme, and holds a Computer Science degree from BITS Pilani. He works across AI infrastructure, compute markets, and crypto market structure.

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