Episode summary

A CIO's Warning on Stocks | Barron's Streetwise

Barron's Streetwise · · Hosts: Jack, Andrew Bary · Guests: Brad Conger

A CIO's Warning on Stocks | Barron's Streetwise – Barron's Streetwise

Summary

Brad Conger argues that stocks look vulnerable because investors have become too comfortable treating bad news as temporary. He says repeated shocks — COVID, the Ukraine war, the Silicon Valley Bank scare, tariff shocks and now Iran-related oil disruption — have conditioned the market into a “buy the dip” mindset, which he sees as complacency rather than a clean extinction of risk. That complacency shows up in a low equity risk premium, which the host explains as the extra return stocks offer over safe bonds.

Conger says the market is expensive and that today’s AI enthusiasm may be obscuring underlying risk. He points to heavy capital spending on chips and infrastructure, and warns that if future AI models require far less compute, some of that spending could become stranded. In his view, the danger is not that AI is a fake theme, but that investors are assuming the current winners will keep winning and that growth can stay extreme for too long.

His response is not to flee stocks, but to reduce the most aggressive exposure. He recommends rebalancing away from concentrated tech and semis, adding bonds, and owning more of the market through areas like Europe, REITs and homebuilders. Those assets, he argues, can still participate in a broad productivity boom without being as exposed to the hottest names.

Key takeaways

  • Brad Conger says the market is priced for too much optimism after a string of shocks that failed to dent portfolios.
  • The host says the S&P 500’s earnings yield of 4.7% minus a roughly 2% real 10-year Treasury yield implies an equity risk premium near 2.7%, near a 20-year low.
  • Conger warns that AI infrastructure spending may be excessive if future models need far less compute, leaving some capex stranded.
  • Rather than exit stocks, Conger suggests rebalancing from high-volatility tech into bonds and cheaper parts of the market such as Europe, REITs and homebuilders.
  • Conger says investors are assuming today’s AI leaders will remain winners, echoing dot-com-era mistakes about growth durability.

Notable quotes

“My thought experiment is it's rather rational for investors to actually price out the equity risk premium because it seems like bad things happen and then the consequences are pretty mild or very transient”

— Brad Conger at 15:55

“I've been calling it buy the dip itis. Like it it feels like investors have by the dip itis”

— Brad Conger at 16:18

“The system seeks to maximize outputs per unit of inputs and we haven't seen that. There is no effort apparently to optimize”

— Brad Conger at 0:05

“Maybe 720 billion of capex in this year, a a trillion next year. Maybe it's too much and maybe some of that gets stranded”

— Brad Conger at 22:41

“I would say that if you were a 6040 two years ago and you're now 7525, why don't you rebalance back to your 6040, meaning sell some S&P, SPY, and buy some bonds”

— Brad Conger at 27:40

How the episode opens

If there's one lesson that we've learned about capitalism and private enterprise, it's this. The system seeks to maximize outputs per unit of inputs and we haven't seen that. There is no effort apparently to optimize.

Hello and welcome to the Baron Street wise podcast. I'm Jack How and the voice you just heard is Brad Conger. He's the chief investment officer at Hurdle & Company.

It manages $29 billion for institutions and wealthy families. Brad's going to talk with us about the stock market and something called the equity risk premium and whether valuations are too high and how all that AI spending factors in. That's next.

We have a question from Federico. Yes, you, Federico. This episode is about you, you might say.

Let me read your email. I am a listener and had two questions I would love to get your take on. First, I've been riding the AI infrastructure trade, but what if one of the big MAG7 players develops a much more efficient model, i.e.

something that uses far less compute or gets to that point through a major breakthrough. What would that mean for AI infrastructure stocks? I think that's on a lot of our minds right now.

Second, you write semis are booming, but they are also a cyclical sector. Should investors try to time the top or is it better just to stay in for the long run? Thank you very much.

Would love to hear your thoughts. Well, you're going to hear them. I mean, a couple of mine, but mostly you're going to hear Brad's.

I had some things to say on this subject, booming spending for memory and chips a couple of weeks ago on this podcast. In a moment, you'll hear Brad talk about just the possibility you raise.

From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →

Topics

  • stock vulnerability
  • equity risk premium
  • investment strategy
  • market outlook
  • cio perspective

Companies and tickers mentioned

  • Hirtle & Co.

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Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.

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