Podcast Summary: How AI Will Impact Your Investments w/ Vanguard's Joe Davis (#1061)
Podcast: How to Money
Host: Joel (with occasional comments from Matt)
Guest: Joe Davis, Vanguard’s Global Chief Economist
Release Date: November 12, 2025
Overview
This episode dives deep into how artificial intelligence (AI) could reshape investing for everyday people over the coming decade. Joel sits down with Joe Davis, Vanguard’s global chief economist and author of Coming Into View, to cut through the AI hype and headlines and get practical insights for long-term DIY investors. The conversation explores the historical context of tech revolutions, how AI compares, potential market impacts, and actionable advice for building robust portfolios in a world transformed by new technology. The tone is candid, grounded, and purposefully jargon-free, aimed at regular investors.
Key Discussion Points & Insights
1. Personal Intro and Vanguard’s Investor-First Philosophy
- [03:02] Joel’s Icebreaker: Joe enjoys splurging on cooking tools and foods, favoring experiential spending at home.
- [04:06] Culture at Vanguard: Joe describes a mission-driven, collegial environment where investor interests always come first.
- "It's not our assets. We manage over $11 trillion today on behalf of the end investors who trusted us with their hard earned savings and capital." – Joe [04:53]
2. Vanguard, Indexing, and If It Had Never Happened
- Joe credits Jack Bogle’s vision for enabling the shift to low-cost investing and hopes that, in an alternate reality, competition would have eventually pressured costs down.
- "This is effectively adoption of a new technology... you can lower the cost through technology. That was not the case 30, 40 years ago." – Joe [05:22]
3. Foundational Investment Forecasting: The Role of Projections
- Vanguard issues 10-year return forecasts, which can appear “bearish” after periods of high returns but are based on solid economic cycles, probabilities, and humility about predictive accuracy.
- "Even in the 10 year numbers, our stock return, there's a 50% likelihood we're going to be between roughly 3 and 7%. That's huge." – Joe [13:51]
4. How to Use Return Forecasts As an Investor
- Joe emphasizes that projections are for risk management, not timing the market.
- Advises modest portfolio adjustments at the margin rather than big shifts, particularly preferring redeployment of new capital as opposed to selling out.
- "Make sure you have... stress test those hopes or plans against those numbers of a 6% return versus a 9% return." – Joe [12:15]
- "Moving the rudder ever so slightly instead of jerking the wheel." – Joel [13:33]
5. AI, Demographics, and Predicting the Future
- Joe discusses humility in projections—acknowledging the unpredictability of “unknown unknowns” (like pandemics or external shocks) and the need for probabilistic thinking.
- "Demographics are not destiny. In fact, there is very little reliability in [using them to predict] future outcomes." – Joe [17:45]
- Technological innovation—especially AI—will have a bigger impact on GDP and markets in the next decade than population trends.
6. The AI Tech Cycle—Comparison with Past Technological Revolutions
- Drawing parallels to the PC and internet eras, Joe predicts AI has a 55-60% chance of being more transformational than the PC, though it’s not a “sure thing” like some AI bulls say.
- "Odds are... AI is more transformational from an economic perspective than even [the] personal computer." – Joe [28:35]
- Many jobs (80%) will change by at least 30% in the next seven years—greater than the PC’s impact on work. [30:13]
7. Investment Implications of a Transformational Technology
-
Tech cycles typically have two phases:
- Early phase: Producers (think Nvidia, Microsoft today) see explosive gains—already happening in AI.
- Mature phase: The productivity and profits flow outward into the broad economy—banks, hospitals, manufacturers innovate with AI, not just make it.
- "The more bullish you are on AI... the more I would be suggesting less overweight or even underweight technology in your portfolio the next five or seven years." – Joe [33:50]
-
Huge company failure rates are common in such cycles (e.g., AOL in the dot-com era).
- "High failure rates--that's what comes out of technological change. Some stars emerge, but you also find high failure rates." – Joe [38:06]
-
Value in Diversification: Better to widen market exposure rather than concentrate in “AI winners,” whose lead may dissipate.
8. Actionable Portfolio Advice
- For Long-term Investors: Stick to sound allocation principles, keep costs low, and don't overreact to tech hype or doom headlines.
- "AI has not... changed... investment principles." – Joe [40:23]
- For Those Near Retirement: Use simple stress tests (e.g., can you withstand a 30% down market?) to check risk tolerance and adjust allocation only if you’d be forced to jeopardize near-term needs.
- On International Diversification: Don’t have 100% US exposure just because it’s worked recently—4% of companies globally drive much of total return, and they may not all be US-based going forward.
- "If you have 100% US exposure, that's a very strong stance on technology... I'm not 100% confident all the [future big] companies will be in the U.S." – Joe [51:22]
9. Costs Still Matter—Regardless of Tech Trends
- Keeping investment fees low is as important as ever, regardless of market environment or trend.
- "High costs can eat at returns... If someone... has a 90 basis point or 70 basis points index fund ... sell that fund." – Joe [48:07]
10. Mindset Takeaways
- The future is uncertain, but disciplined, cost-conscious investing with modest, reasoned changes beats chasing headlines or fads.
- "There's value in us trying to bridge the economic world into the investment world without me having to read 500 pages." – Joe [54:57]
Notable Quotes & Moments
-
On risk and humility:
"We’re disclosing this to the whole community… they can change their probabilities based upon the discussion in the book." – Joe [21:09] -
On AI’s likelihood to out-impact the PC or internet:
"We're picking up signals today... there's a likelihood that we're in the third end of this. But... AI is more transformational than even a personal computer." – Joe [28:35] -
On investing through AI hype cycles:
"The more bullish you are on AI, the more I would be suggesting less overweight or even underweight technology in your portfolio." – Joe [33:50] -
On diversification beyond the US:
"Just getting off the zero boundary... you may not realize you have almost like this technology bet." – Joe [53:24]
Timestamps for Key Segments
- Vanguard’s investor philosophy: [04:06–05:09]
- Lunch with Jack Bogle and long-termism: [06:47–08:21]
- Forecasting and managing risk: [08:21–14:31]
- Framework for AI’s economic impact: [15:02–20:40]
- Unknown unknowns & humility: [20:40–24:19]
- Comparisons with tech history (PC, Internet): [27:09–31:31]
- Investment implications of tech transitions: [32:07–39:38]
- Practical asset allocation advice: [40:06–44:29]
- Costs and international diversification: [48:07–53:39]
- Mindset on boldness and humility in investing: [53:39–54:57]
Summary for Non-Listeners
This episode provides a sophisticated yet practical guide to investing in the age of AI, blending big-picture thinking on global economic trends with grounded advice for regular investors. Joe Davis—drawing from years of Vanguard research—shares why investors shouldn't radically alter their approach based on hype around AI (or any other tech), but should rather tune out the noise, keep costs low, and diversify their risks and opportunities. Perhaps most provocatively, he explains why being ultra-bullish on AI should actually lead to more cautious allocations to tech stocks over time, since true innovations ultimately boost productivity and profits elsewhere in the economy. Uncertainty will always persist, but simple, humble, evidence-based investing remains the smartest path forward.
