Podcast Summary: "How to Be an Intelligent Investor In 2026"
Podcast: The Journal.
Hosts: Ryan Knutson, Jessica Mendoza
Guest: Jason Zweig, "Intelligent Investor" columnist, Wall Street Journal
Date: January 12, 2026
Overview
This episode takes a close look at what it means to be an "intelligent investor" in 2026. Host Ryan Knutson interviews Jason Zweig, a long-time Wall Street Journal columnist, on enduring investing principles, how to navigate current market conditions (including concerns about AI bubbles and record-high stock markets), and practical listener questions about diversification, timing the market, and the flood of retirement money into equities.
Key Discussion Points and Insights
What Is Intelligent Investing?
- Core Principles:
- Judgment, common sense, independence, and skepticism
- Zweig regards these less as "skills" and more as "virtues":
"As time passes, I've come to think of them as virtues rather than skills." (Jason Zweig, 00:48)
The Long-Term, Buy-and-Hold Approach
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Zweig re-emphasizes the core advice from his years as the Intelligent Investor:
- Buy broadly diversified index funds and hold them long-term.
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Avoiding friction is vital to investment success:
- Sources of friction:
- Fees — Actively managed funds or frequent trading result in high costs
- Taxes — Frequent trading crystallizes gains, which are taxed; buy-and-hold delays (and sometimes significantly reduces) the tax burden
- Behavioral mistakes — Investors tend to chase performance, buying high and selling low out of emotion. Holding index funds helps sidestep this.
"Uncle Sam is your partner and he's always got his hand in your pocket. If you buy and hold, you can defer most of those taxes..." (Jason Zweig, 03:41)
"When you buy and hold...you short circuit all of those problems and you eliminate that friction." (Jason Zweig, 04:39)
- Sources of friction:
Looking Back: Predictions and Surprises in 2025
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Zweig confesses skepticism about strong returns for 2025, only for the market to surprise on the upside:
"I was a little skeptical that we would have a really positive return... and of course, it turned out the S&P 500 was up like 17.9%, a blockbuster." (Jason Zweig, 05:05)
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Major indexes soared: S&P 500 (~18%), Dow (~13%), and NASDAQ (~20%) — largely driven by technology stocks.
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The market’s surge came despite global and domestic concerns (Ukraine, tariffs, Fed issues, Gaza, etc.).
"Despite Ukraine, despite tariffs, despite the stuff about the Fed, Gaza, you name it, just went up." (Ryan, 06:26)
Why Did Markets Rise?
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Earnings growth, low interest rates, favorable dollar movements, and lower corporate tax rates all contributed.
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Zweig highlights the centrality of earnings and notes legislation lowering corporate taxes as a booster.
"When companies earn more money that gets taxed less, their stocks go up." (Jason Zweig, 07:16)
2026 Outlook and the Futility of Market Predictions
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Zweig refuses to make specific predictions for 2026.
- Instead, he emphasizes focusing on your own behavior and asset allocation so you're prepared for whatever the market does.
- Markets react not to known worries, but to the true surprises.
"If there were nothing to worry about, that would be the most worrisome thing of all. I'd be terrified if there were nothing to worry about." (Jason Zweig, 08:26) "Markets don't react to what people already expect because that's already in the price... What markets react to is the unexpected." (Jason Zweig, 08:48)
The "AI Bubble" Debate
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Zweig offers a balanced view:
- Many smart, historically successful companies (Nvidia, Google, Meta, etc.) are investing heavily in AI.
- However, historical research shows that large company-wide capital expenditures often reduce future returns.
- Bubbles can form even when the underlying technology is world-changing.
"You can be right about how the future will unfold. But if you pay too much for the promise of that future, you're not really going to make any money doing it." (Jason Zweig, 11:09)
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Zweig draws explicit parallels to the dot-com bubble:
- During 2000-2002, internet stocks lost about 85% of their value, while the S&P 500 dropped roughly 45%.
- Despite this, the market rebounded, and "non-AI" stocks performed near historical averages even as AI leaders soared in 2025.
"How much damage a collapse in AI would do isn't totally clear. I think it would be very harmful. But I think the stock market would recover maybe faster than people would expect." (Jason Zweig, 12:40)
Practical Listener Q&A (13:06-Onward)
1. The "Sleep Well at Night" Portfolio ([13:36])
- Advice: Diversify broadly.
- Don't put all your money in US stocks; global diversification reduces risk.
"If you have all your money in US stocks, you're missing out on a third of all the opportunities out there." (Jason Zweig, 13:45)
2. Timing Entry – Investing at Market Highs ([14:21])
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Zweig suggests dollar-cost averaging — invest gradually over time, regardless of market highs or lows.
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Avoid making large, sudden investments; automate regular, modest contributions.
"If you're concerned that this is a dangerous time to invest, then invest just a little bit and do it every month... Put yourself on permanent autopilot." (Jason Zweig, 14:35)
3. Timing the Market by Selling New Highs ([15:43])
- Listener asks about selling a small portion at new highs and buying back on pullbacks.
- Zweig warns against this:
- It triggers taxes and trading costs, which over time erode returns.
"Every time you sell it again, the government is going to take a piece of what you got... it's very difficult to make that work." (Jason Zweig, 16:05 & 16:35)
4. Will Non-Stop 401(k) Money Keep Stocks Up? ([17:28])
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Listener asks if ever-increasing retirement flows can prevent markets from dropping.
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Zweig: No — markets respond to corporate earnings and investor sentiment, not just inflows.
- History is filled with sharp drops in markets even as 401(k) contributions surged.
"Markets go up when corporate earnings go up... There's no cause and effect relationship [with 401(k) flows]." (Jason Zweig, 18:07 & 19:05)
Final Words of Wisdom for 2026
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Zweig encourages listeners to make their own predictions at the start of the year, then compare to reality at year-end to appreciate the challenge of market forecasting.
"Instead of asking somebody at the Wall Street Journal what he thinks is going to happen, what do you think is going to happen?...The predictions you actually made will look very little like the actual results." (Jason Zweig, 19:24)
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His one reliable forecast: attempts at market prediction are usually wrong; focus instead on sound investing discipline.
"Most people should stop trying to predict." (Jason Zweig, 20:31)
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Full circle: Buy, hold, diversify, and resist the urge to outsmart the market.
Notable Quotes & Moments
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On investing discipline:
"Buy and hold...it kind of does." (Jason Zweig, 20:41)
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On the nature of financial worries:
"If there were nothing to worry about, that would be the most worrisome thing of all." (Jason Zweig, 08:26)
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On the AI bubble vs 2000 dot-com:
"Internet related stocks lost roughly 85% on average between 2000 and 2002. ... One of the worst destructions of wealth in American history." (Jason Zweig, 11:29)
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On timing the market:
"It's better to leave the money in there and let it compound than to try to take it out and...put it back in." (Jason Zweig, 16:35)
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On self-knowledge and humility:
"I have a prediction that the predictions you actually made will look very little like the actual results." (Jason Zweig, 20:09)
Timestamps for Key Segments
- 00:48 — Introduction to intelligent investing: skills vs. virtues
- 02:37 — Why buy-and-hold beats active trading
- 05:05 — 2025 market surprises and lessons learned
- 07:18 — Drivers behind 2025's record gains
- 08:09 — Why and how to prepare for uncertainty (not predict the market)
- 09:36 — The AI bubble, corporate investment, and comparisons to the tech bubble
- 13:36 — Listener Q&A: Building a low-volatility, diversified portfolio
- 14:21 — When to invest when the market is high (dollar-cost averaging)
- 15:43 — Should you sell at highs and rebuy dips?
- 17:28 — Does 401k money guarantee markets only go up?
- 19:24 — Zweig’s final advice: Make your own predictions, then learn from being wrong.
Summary Takeaways
- Disciplined, diversified, low-cost, and long-term investing is still the most intelligent approach—even in periods of rapid technological change and record-breaking markets.
- Predictions are rarely accurate; it’s more productive to focus on what you can control: your behavior and your asset allocation.
- No market is risk-free, and caution around "bubbles" is always warranted, but truly unpredictable events—rather than widely broadcast worries—are what shake markets.
- Consistent, gradual investing and resisting temptation to market-time are far better bets than trying to outsmart the system.
End of summary.
