Capital, AI, and the Limits of Liquidity with Andrea Eisfeldt
"Accounting statements were not designed to be used for portfolio management. They were designed to record transactions of ongoing companies and keep their books. The purpose is different than what people are using them for."
— Andrea Eisfeldt
The accounting data that underlies most factor investing was built for an economy that no longer exists. The companies that dominate markets today run on software, customer relationships, and engineering talent. None of it shows up on the balance sheet the way it should.
Andrea Eisfeldt has spent the better part of two decades building the tools to correct for that. We get into what she found — and then into liquidity, AI, and why the current stress in private credit fits a pattern that goes all the way back to her dissertation.
She is an eternal optimist. Her optimism is grounded in mechanisms, not sentiment.
Key Takeaways
1. The accounting data underneath modern factor investing measures the wrong economy.
Most factor and smart-beta investing runs on accounting fundamentals — book value, earnings, profitability — pulled from statements designed for the manufacturing economy of the 1970s and 1980s. The modern economy runs on software, R&D, customer relationships, and engineering talent. Those investments get expensed rather than capitalized, which distorts both the balance sheet and the income statement. The result is that conventional metrics can make today's economy look expensive and growthy when much of what's really happening is that the assets generating the cash flows have moved off the books.
2. Concentration is not pricing power, and intangibles explain why both have grown together.
Intangible capital is partially non-rivalrous — the same brand sells shoes and sportswear, the same software runs across a hundred locations at near-zero marginal cost. That structure produces natural economies of scale, which is why concentration has risen across software-intensive industries. But concentration alone doesn't establish pricing power; plenty of concentrated industries operate near bankruptcy. What produces durable rents is scale combined with a haves-and-have-nots structure where some firms hold technical capability others can't replicate. That combination is also more fragile than it looks. Brands become obsolete. Research gets superseded.
3. Liquidity is endogenous, and the frontier is where it always breaks.
Liquidity dries up in bad times by structure, not by accident. In good times, investors rebalance constantly and the market clears because everyone needs to reallocate. In bad times, everyone simultaneously wants the same low-volatility hiding place, and the trades that depend on someone taking the other side stop happening. Financial innovation has been remarkably good at engineering liquidity out of illiquid assets, but every innovation pushes the frontier further — and the frontier is where the failures happen. The current stress in private credit is what the pattern looks like when capital tries to make the least liquid corners of the economy behave like the most liquid ones.
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About Andrea Eisfeldt
Andrea Eisfeldt holds the Laurence D. and Lori W. Fink Endowed Chair in Finance at UCLA Anderson and is a Research Associate at the National Bureau of Economic Research. She received her Ph.D. in Economics from the University of Chicago, where she trained under John Cochrane, Lars Hansen, and Doug Diamond. Her research spans intangible capital, market liquidity, human capital compensation, and what AI is doing to firm values and labor markets. Beyond academia, she has served as chief economist at fixed-income hedge fund Structured Portfolio Management and has consulted for AQR. She currently serves as Vice President of the American Finance Association.
Timestamps
00:00 — Introduction
04:00 — Why accounting data designed for the 1970s misleads modern portfolio managers
09:00 — How correcting for intangibles changes what the economy actually looks like
13:00 — Concentration vs. pricing power: why they are not the same
14:00 — The three categories of intangible capital and the partial non-rivalry that drives scale
20:00 — Brand obsolescence and the limits of "this time is different"
23:00 — AI and firm value: the task-level research and what happened after ChatGPT's release
27:00 — Human capital compensation and equity beyond the C-suite
31:00 — The bottleneck model: why human oversight becomes both a constraint and the most valuable skill
37:00 — Endogenous liquidity: why it dries up in bad times by structure, not by accident
39:00 — Private credit, financial innovation, and the frontier problem
40:00 — The Pivot Questions
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Disclaimer
The content of "Treussard Talks" is for informational and educational purposes only and should not be considered financial advice. The views expressed are those of the host and guests and do not necessarily reflect the opinions of Treussard Capital Management or its affiliates. Consult your own financial advisor before making any investment decisions. For full disclosures, visit treussard.com.