Private credit panic isn't about defaults—it's about liquidity being priced as yield
Your money hasn't defaulted; it's just locked up for a few quarters. Mistaking private credit's liquidity premium for credit risk is the real source of this panic.
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The argument · tap a timestamp to hear it
The 4% withdrawal rate was invented arbitrarily and should be dynamic
Omar Aguilar, CIO of Schwab Asset Management, argues that retirement withdrawal needs aren't static. The 4% rate gained popularity simply because someone chose it as a standard; there's no mathematical foundation. Today's rate should vary with current interest rates, inflation, and actual growth rates. Risk-free rates themselves might exceed 4%, making the rule obsolete—especially since retirees now live longer than when the rule was created.
— Omar AguilarAll rational decisions are Bayesian updates on incomplete information
Aguilar holds a PhD in Bayesian statistics and uses that lens to explain decision-making. The core idea: treat your current knowledge as a 'prior,' then update continuously as new evidence arrives. Two travelers catching the same flight make different decisions—one arrives three hours early, another five minutes before departure—based on their respective priors and utility functions. That's exactly how portfolio decisions work.
— Omar AguilarAlgorithms can optimize; they can't make you live with the result
Humans have two decision-making systems: the amygdala (fight-or-flight) and the prefrontal cortex (rational analysis), and they fight daily. Schwab tools like BIAgnostics specifically diagnose customer cognitive biases. Aguilar's insight: computers and AI can calculate what you need (an optimal portfolio), but clients have what they want (emotional comfort with risk). An advisor's value lies in reconciling the two, not in being replaced by algorithms.
— Omar AguilarThe world's largest dividend fund wins by choosing quality over yield
Schwab launched its dividend ETF in 2011; fifteen years later it became the world's largest, now exceeding $100 billion. It didn't win by charging the lowest fees or seeking the highest yields. Chasing maximum dividend yield means buying stocks whose prices just crashed, often before their dividends get cut. Instead, Schwab selects roughly 100 high-quality, stable companies. That consistency attracts outside capital; 35% of its net new assets come from non-Schwab clients.
— Omar AguilarPrivate credit panic stems from mistaking illiquidity for credit risk
Private credit has been headline news this year, but Aguilar's diagnosis: this was never a credit or default crisis. The issue is a fundamental misreading—investors treat illiquidity as risk. Private credit has a liquidity premium: you lock money in longer, and that premium is priced into higher returns. Public high-yield bond markets actually see more defaults and credit events. The real gap isn't credit quality; it's a lack of investor education about why illiquidity commands a premium, especially as these products spread to retail investors.
— Omar AguilarAI capital spending spreads; next year tests whether profits catch up to costs
AI capex cycles continue and are spreading beyond technology into healthcare, finance, and industrial sectors—though at smaller scale. Aguilar flags a critical question for investors next year: companies that borrowed heavily to expand AI capacity, do their returns actually match their spending? If capital expenditure fails to convert into proportional profits, that will be the real test of the AI investment narrative.
— Omar AguilarFour cognitive biases now shape markets: herding, recency, confirmation, home bias
Aguilar identifies four active cognitive biases distorting today's markets. Herding: investors chase the Magnificent Seven with momentum strategies but don't know when to exit. Recency bias: people extrapolate from recent data—Bitcoin climbs from $16,000 to $30,000, and observers invent new explanations rather than questioning the trend. Confirmation bias: after you buy a car, suddenly you see that model everywhere; investors remember only the trades they got right. Home bias: the US outperformed international markets for years, and combined with recency bias, makes investors dismiss foreign opportunities entirely.
— Omar AguilarPredicting markets is gambling; owning companies long-term is investing
Aguilar argues that long-term investment discipline, not geopolitics or inflation fears, is what investors actually underestimate. He reframes a classic distinction: investing makes you an owner; prediction puts money in a box and lets odds play out against you—the house always has the edge. True investing requires the risk-budgeting discipline to distinguish between main course, salad, and side dish, not just mechanical asset allocation percentages.
— Omar AguilarIn their own words · checked verbatim
There's a lot of clients, they tell you what they want. And you, as a financial professional, you know what they need. And we need to put them together.
Omar Aguilar15:31
And 15 years later, it became the largest dividend ETF in the world. And that's over $ 100 billion now.
Omar Aguilar23:46
I think the biggest misconception, even with the work that we have seen and all the headlines we have seen on private credit, is that it has not ever been a credit issue it has been always a misconception of liquidity.
Omar Aguilar27:56
I think the question you have is, what is going to be interesting going into next year is that investors are going to start trying to evaluate how much of that capital expenditures and that investment ended up being profitable.
Omar Aguilar42:10
Because your brain is basically trained to try to look for things that convince you that you're making the right choice.
Omar Aguilar51:19
when you go to a dinner, you basically have your main entrance. You also have your salad. You also have your side. And you don't necessarily have the same level of weight to each one of those.
Omar Aguilar58:28
when you're investing, you become an owner. When you're gambling, you don't have anything. You're just basically, you know, putting money in the box.
Omar Aguilar58:28
Figures
| Schwab asset management AUM | $1.9 trillion | 19:39 |
| Schwab Group total assets | $13 trillion (some sources cite $14 trillion) | 21:46 |
| Flagship dividend ETF AUM | Over $100 billion | 23:46 |
| Non-Schwab net new assets share | 35% | 23:46 |
| Fund expense ratio | 8 basis points | 0:02 |
| 10-year US Treasury yield (Q3) | Near 5% (4.8%) | 48:17 |
Glossary
- Bayesian statistics
- A statistical method using prior experience as a starting point and continuously updating judgments based on new data.
- BIAgnostics
- Schwab's internal tool for diagnosing customer cognitive biases.
- Broker window
- In 401(k) plans, an opening to purchase assets outside the plan, including alternatives.
- Momentum trade
- A trading strategy betting that recent price trends will continue; buying winners and selling losers.
How to listen
Wealth advisors handling retirement planning and 401(k) alternative asset allocation; investors wanting to understand private credit liquidity risk and AI capital expenditure dynamics.
The opening two minutes of self-introduction and the closing speed round about books and shows are skippable without affecting understanding of the market analysis.