Best Investing Podcasts: 12 Episodes Worth Your Time, Ranked

The best investing podcasts, ranked through 12 standout episodes in our summary library: index fund math from Acquired, bubble history from Jeremy Grantham, temperament from Mohnish Pabrai, and the AI capital cycle from Invest Like the Best.

The best investing podcasts right now are Acquired, Invest Like the Best, My First Million, The Diary of a CEO, a16z, All-In, and Impact Theory, and the honest way to judge any of them is by their strongest individual episodes. We reviewed the investing conversations in our summary library and ranked the twelve that deliver the most usable thinking, running from a beginner's first index fund to how professionals underwrite an AI capital cycle.

Each entry below explains why the episode earns its rank, the specific ideas worth acting on, and a quote that captures the conversation. Every one links to our full written breakdown, free to read. Eleven of the twelve also have official full length YouTube uploads embedded here, so you can go straight to the source.

One note on scope: these episodes come from our summary library, which covers roughly the past year (December 2025 through August 2026). Treat this as the best of a current run, a snapshot of what the biggest investing shows actually published over the last nine months.

1. Vanguard: The Communist Capitalist Who Saved Investors a Trillion Dollars

Acquired · Ben Gilbert and David Rosenthal · 3h 48m · May 2026

Start here. Gilbert and Rosenthal spend nearly four hours on Jack Bogle, and the fee arithmetic alone justifies the runtime: an 8.5% sales load meant only $91.50 of every $100 reached your actual investment, while a 2% annual fee on a $100 million fund extracted $2 million a year for administering publicly traded stocks. Bogle's 1951 Princeton thesis holds the insight everything else on this page rests on, which is that all investors trading against each other collectively are the market, so cost is the one edge available to everybody.

Key takeaways

  • Fee math compounds against you: an 8.5% front load plus 2% annual fees moves serious wealth from the investor to the intermediary over a few decades.
  • Bogle's core argument: because all investors together constitute the market, minimizing cost is the most reliable route to above-average returns.
  • Traditional funds pay their management company a percentage of assets, which rewards asset gathering and marketing over investment performance.
  • Vanguard is owned by its own fund holders, a structure the hosts call communist capitalism, which dissolves the conflict between shareholder profit and customer returns.
  • Vanguard saved investors an estimated $500 billion in fees directly, and roughly another $500 billion by forcing the rest of the industry to cut prices.
I view Bogle as an undercover philanthropist. And at a trillion or even half a trillion dollars, that would make him the greatest philanthropist of all time. — Morgan Housel

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2. Passive Income Expert: Buying a House Makes You Poorer Than Renting

Diary of a CEO · Steven Bartlett · ft. JL Collins · 2h 15m · January 2026

The most practical two hours on this list for anyone starting out. Collins reduces financial independence to arithmetic: spend less than you earn, clear debt first, put the surplus into index funds. His contrarian housing section is the part that lands hardest, because he treats a mortgage as the opening line of a cost stack (maintenance, renovation, furniture, taxes, landscaping) that quietly raises your required income for decades. The framing underneath it all is that money has two jobs, buying things and buying your freedom, and most people only ever learn about the first one.

Key takeaways

  • Money buys things or it buys freedom. Every purchase is a vote for one of those two outcomes.
  • Clear debt before building wealth. Collins calls carrying debt a ball and chain that makes financial independence impossible.
  • Buying a house usually inflates cost of living, because buyers stretch to the top of what a bank approves and then absorb years of variable upkeep.
  • Every must-have you add (the luxury car, the prestige zip code, the private school) lowers your odds of reaching financial independence.
  • Income predicts wealth poorly. Collins describes a friend earning $1 million a year who stayed broke through lifestyle inflation.
You can never be financially independent if you're carrying around debt. It's a ball and chain that you drag along. — JL Collins

Read the full episode summary

3. Mohnish Pabrai: How to Be a Top 1% Investor

My First Million · ft. Mohnish Pabrai · 1h 45m · May 2026

Pabrai runs a billion dollar fund and spent years around Buffett and Munger, and his explanation for why fewer than 1% of individual stock pickers succeed has nothing to do with intelligence. It is temperament: the market transfers wealth from the active to the inactive, and almost nobody can sit with a position that does nothing for three to five years. The episode doubles as the best case we have heard for deliberate cloning, which is copying proven strategies wholesale the way Sam Walton did, and the reason it works is that almost everybody skips it.

Key takeaways

  • Temperament beats IQ. Fewer than 1% of individual stock pickers do well, and patience explains most of the gap.
  • Index funds plus inactivity put you ahead of more than 90% of investors, which makes the lowest-effort option a top-decile one.
  • Extreme selectivity is the stock picker's real discipline. Pabrai puts 98% of opportunities into a too-hard pile.
  • Cloning is underused. Walton copied every idea he could find, and Burger King followed McDonald's site selection with two staff where McDonald's used a whole department.
  • Introduce randomness on purpose. Pabrai's entire career started with a Peter Lynch book he picked up at Heathrow.
If you are even a slightly above average investor, you can't help but get rich over a lifetime. — Monish Pabrai

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4. Billionaire Investor Says Stock Market Headed for Crash: Tom Bilyeu Reacts

Impact Theory · Tom Bilyeu · ft. Jeremy Grantham · 1h 14m · July 2026

Grantham is 87, has managed $85 billion, and has called multiple bubbles correctly. Here he argues we are inside the largest one in history, and his framing is what earns the rank: the biggest bubbles form around the most genuinely transformative ideas, because everybody can see the potential and piles in against it. Amazon rose six or seven times in 1999, fell 92%, and then inherited retail. Both halves of that sentence are true at once, which is the hardest thing in investing to hold in your head while the market is euphoric.

Key takeaways

  • Great bubbles cluster around real breakthroughs: railroads, the internet, now AI. The technology succeeds while early investors get wiped out.
  • Investors follow emotional contagion, buying into euphoria and selling into fear, which is the mechanical reason retail returns lag the index.
  • Bigger bubble, longer recovery. Japan's 1989 peak at 65x earnings took 20 years to work off.
  • Grantham's warning signs today: roughly 40% of US stock market gains tied to a single sector, with valuations detached from revenue.
  • The US market has always ended 20-year windows positive, including windows containing the Great Depression, though few investors hold long enough to collect that.
In 99, Amazon went up six or seven times. In the crash, in the tech bubble, it went down 92%. And then out of the wreckage, it inherited the retail world. And that's how it works. The greater the idea, the more obvious the idea, the more money goes in and the bigger the bubble and the bigger the bust. — Jeremy Grantham

Read the full episode summary

5. The Secretive PE Firm Behind Burger King, Tim Hortons, Skechers and Hunter Douglas (3G Capital)

Invest Like The Best · Patrick O'Shaughnessy · 1h 30m · February 2026

3G Capital raises a fund to buy one company. That single structural choice drives everything else in the conversation: if truly great businesses are rare, and the ones that exist are rarely actionable, then concentration is the honest response to scarcity. The partners ran businesses as CEOs and CFOs before they invested, and they send operator-partners into what they buy. The detail that stuck with us is one of them spending a week a month driving trains, which tells you how literally they mean operating experience.

Key takeaways

  • One investment per fund, with meaningful partner capital inside it. Scarcity of great businesses is what justifies the concentration.
  • Prefer businesses that own the end-customer relationship, which is what protects the Whopper and Hunter Douglas from private-label disintermediation.
  • Centralize the what, decentralize the how: align the organization on objectives and give talented operators autonomy over execution.
  • Operators make sharper investors. Prior CEO and CFO experience surfaces frontline inefficiencies that pure financiers miss.
  • Zero-based budgeting produces an ownership mindset only when the leaders running it are actual shareholders.
It's so hard for us to find a great business to invest in. How are we going to find 10? It's so hard to find great people to be great CEOs. So, like, how are we going to find 10? — Daniel Schwarz

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6. Chris Camillo's Unusual Strategy to Become a Top 1% Investor

My First Million · ft. Chris Camillo · 1h 19m · December 2025

Camillo turned $20,000 into $70-80 million over 18 years at roughly 75% annualized, and his method is legible to anyone holding a phone. He calls it social arbitrage: read TikTok comments, watch what sells out at Walgreens, track Google searches for roof repair, and connect the behavior change to a public ticker while Wall Street's data still lags. The anecdote that proves the thesis is his call to a covering analyst about a Jeffree Star video on ELF Cosmetics, where the analyst asked who Jeffree Star was.

Key takeaways

  • Social arbitrage means entering a position when you know something meaningful early, then exiting as that information becomes common knowledge.
  • Conversational data beats transactional data. People talk about purchases for weeks before the credit card receipts exist.
  • Wall Street coverage skews toward one demographic, leaving structural blind spots in youth culture, beauty, and female-led consumer trends.
  • Physical verification builds conviction. Camillo stood in a Walgreens watching mothers clear the ELF shelf after a viral video.
  • Institutions require provable historical correlations before acting, which opens a real window for nimble retail observers.
I've been reading TikTok comments. That's where I get most of my alpha from. — Chris Camillo

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7. Why Now Is the Best Time to Buy Public Software Companies

Invest Like The Best · Patrick O'Shaughnessy · ft. Mitchell Green · 1h 0m · March 2026

Mitchell Green built Lead Edge into a machine targeting consistent 2-5x returns over 3-7 years, and he gives away the screen that has kept the firm out of the most trouble: revenue today must exceed cumulative cash burned to date. A company at $20 million of revenue that burned $10 million getting there is a fundamentally different animal from one that burned $80 million. He is equally blunt about the 2020-2021 error, which was underwriting deals on the assumption that exit multiples would stay at 20-25x revenue.

Key takeaways

  • The capital efficiency screen: revenue to date should exceed cumulative cash burned, a 1:1 ratio or better.
  • Software moats live in distribution, sales, and customer success. Microsoft could rebuild most niche products with 500 engineers in a month.
  • A high entry price survives only if the exit multiple assumption holds, so underwrite that multiple explicitly.
  • Lead Edge's 800 LPs, 95% of them executives and entrepreneurs, handle sourcing intros, diligence back-channels, and post-investment business development.
  • Sell discipline separates great firms from good ones. Lead Edge runs a disposition committee once or twice a month across every position.
Our number one KPI that we run this place by is what is our gross dollar retention for LPS? We want like 95% gross dollar retention because the only way you can get that is one have good investment returns and great client services. — Mitchell Green

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8. Investing a $120 Billion Balance Sheet With No Outside Investors

Invest Like The Best · Patrick O'Shaughnessy · 1h 16m · June 2026

This is the portfolio construction episode on the list. The CIO of Liberty Mutual Investments runs $120 billion across credit, private equity, real estate, and infrastructure, and every allocation starts from the exposure the team wants, then picks the vehicle: LP commitment, direct deal, co-invest, club deal, or bespoke partnership. Because Liberty Mutual is a mutual, public shareholders demanding quarterly buybacks are absent, which buys the patience most institutions only talk about. The line that summarizes the whole philosophy is about preparing for eventualities.

Key takeaways

  • Decide the exposure you want first, then choose the best route to it. Products should follow the exposure.
  • Insurance balance sheets do two economic jobs at once: syndicating risk through underwriting, and deploying premium float into growth.
  • Permanent capital buys investment hygiene, meaning the freedom to do the right thing over the expedient thing.
  • Entrepreneurial culture inside a large institution has to be engineered through incentives, hiring, and governance, because comfort is the default setting.
  • Deal flow is reputational. Turn away novel opportunities once and the referrals dry up fast.
It allows us to think about investing from a long-term perspective and it allows us to do the right thing, not the expedient thing. It allows us to maintain what I would describe as investment hygiene. That is one of the most difficult things to do when you're managing other people's money. — Liberty Mutual CIO

Read the full episode summary

9. Ben Horowitz on Investing in AI: AI Bubbles, Economic Impact, and VC Acceleration

a16z · ft. Ben Horowitz · 34m · January 2026

Thirty-four minutes with the highest density of investment committee craft on this list. Horowitz explains why a16z verticalized into small specialized teams, citing David Swensen's rule that an investing team should stay roughly the size of a basketball starting five, because genuine dialogue breaks down in larger rooms. He also offers a usable test for judging any venture firm: assess process quality at the point of attack, which is observable today, while portfolio outcomes take ten to fifteen years to settle.

Key takeaways

  • Underwrite what a founder is world-class at. Singular depth is a stronger signal than broad competence.
  • Keep investment decision groups near basketball-team size so real argument stays possible.
  • Judge investors on how they show up at the point of attack: sourcing quality, win rate, and the read at the moment of investment.
  • Knowledge sits with the people doing the work, so leaders should attend team meetings to make informed calls.
  • Foundation models cover the core while the fat tail of use cases needs specialists. Cursor runs 13 different models.
What you're really trying to find is are they literally the best in the world at a thing, and that's always the thing that's worth investing in, as opposed to they're pretty good at a lot of things, and I can't figure out what they're not good at. — Ben Horowitz

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10. The AI Selloff Doesn't Match the Data: A Top AI Investor Explains

Invest Like The Best · Patrick O'Shaughnessy · ft. Gavin Baker · 1h 18m · August 2026

The most useful contrarian datapoint of the year, argued with numbers. Consensus modeled GPU prices drifting down; spot pricing for Blackwell clusters rose 50-60% in six or seven months, moving from about $2.50 to nearly $4 per GPU hour. Baker's follow-through is the part worth your time: hyperscalers hold long-term contracts struck well below current spot, so as those contracts roll and reprice, operating cash flow accelerates enough to fund much of the buildout internally.

Key takeaways

  • GPU spot pricing rose 50-60% over six to seven months, signalling an acute compute shortage underneath a pessimistic tape.
  • Open-source model growth leaves total compute demand intact. A token costs the same flops wherever it originates, so margin simply shifts toward infrastructure.
  • Contract repricing is the underrated catalyst: locked-in hyperscaler compute sits far below spot, so cash flows accelerate as contracts roll over.
  • Everyone feeding news into the same model has compressed market cycles. Baker watched Japanese capacitor stocks run a three-year cycle in six weeks.
  • Roughly 250,000 to 500,000 people worldwide use generative AI meaningfully, so today's shortage reflects under 0.01% adoption.
A token is a token, and you need the exact same amount of compute to make a token all else equal. Takes the same amount of flops, the same amount of memory, the same amount of watts. — Gavin Baker

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11. The Investor Behind Costco, Starbucks, and Blackstone: Tony James on the a16z Show

a16z · ft. Tony James · 1h 23m · May 2026

James was president of Blackstone and sold DLJ at the top of the market in 2000, and his Costco example is the cleanest articulation of a compounding moat we have heard on a podcast. When Costco finds a nickel of savings on batteries, the whole nickel goes into lower prices and zero goes into margin, so the customer value proposition strengthens every single year. He pairs that with a career frame worth stealing, which is to find the steep part of the S-curve and put yourself on it.

Key takeaways

  • Continuously enhance the customer value proposition. Costco routes 100% of cost savings into lower prices.
  • Build where incumbents feel institutional ambivalence. DLJ won LBOs and high-yield debt because larger firms hesitated on cultural grounds.
  • Small growing organizations accelerate careers: responsibility arrives early, and learning compounds from there.
  • Reassess honestly when structural change invalidates your position. James sold DLJ in 2000 reading Glass-Steagall repeal and balance sheet constraints.
  • Work the steep part of the S-curve, where value creation and creative satisfaction are both highest.
So the more value we give the customer, whatever if Costco can go find a new source for batteries and save a nickel, 100% of that nickel gets lower prices. None of it goes into higher margin. And so they're always driving down prices. So their customer value proposition keeps growing. — Tony James

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12. All-In's Best Ideas Pitch Competition: 4 Investors Present Their Top Trades Live

All-In Podcast · Chamath, Jason, Sacks, and Friedberg · 1h 7m · June 2026

Most investing content explains philosophy. This episode shows the work. Four managers pitch live at an Ira Sohn event, and you get complete theses with numbers attached: MGM at $48 against a sum-of-parts case above $100, including an Osaka casino license opening in 2030, and Talon Energy at $25 billion enterprise value against $45 billion of replacement cost. Watching a thesis get assembled and defended in public is the fastest way to learn how professionals actually build one.

Key takeaways

  • Sam Zell's rule applied live: buy hard assets below replacement cost when future demand will require new capacity.
  • Talon Energy pitched at $25 billion enterprise value versus roughly $45 billion replacement cost, a double just to reach parity.
  • The PJM region alone needs 106 gigawatts of new power within ten years, about equal to Japan's entire consumption.
  • Data centers behave like oil refineries: roughly $50 billion of capex per gigawatt, electricity in, tokens out.
  • De-risked biotech looks like proven receptors, early imaging confirmation, three-plus years of cash runway, and a modality generics struggle to copy.
If you can buy an asset, a hard asset at below replacement cost for an asset that's going to be needed in the future where we're going to need to build new capacity of that asset. Then you buy that asset at the discount to replacement cost. You hold it and you sell it at a big premium to replacement cost when the market wakes up. — Daniel (quoting Sam Zell)

Read the full episode summary

What these episodes have in common

Theme 1: The beginner path and the professional path start from the same fact

Bogle's Princeton thesis on Acquired and Mohnish Pabrai's temperament argument on My First Million arrive at the same destination from opposite ends of the industry. Bogle's math says investors in aggregate are the market, so cost is the one guaranteed lever. Pabrai's experience says the market moves wealth from the active to the inactive, so patience is the second lever. JL Collins on Diary of a CEO converts both into a household instruction set: clear debt, live below your income, buy index funds, leave them alone. Three very different shows, one converged answer for anyone starting out.

The professionals on this list accept that diagnosis and then explain why they still bother. Lead Edge, 3G Capital, and Liberty Mutual each describe an edge that comes from structure: a screening criterion most firms skip, a fund built around a single deal, or permanent capital that removes the quarterly clock. Each one is a way of buying the same patience Pabrai describes, purchased through governance where an individual has to supply willpower.

Theme 2: The AI capital cycle, argued convincingly from both sides

This is where the list genuinely conflicts, and both sides deserve a listen. Jeremy Grantham on Impact Theory makes the historical case: the biggest bubbles form around the most real technologies, because obvious potential attracts overinvestment. He points at roughly 40% of US market gains concentrated in one sector, and at a 1999 Amazon that rose seven times, fell 92%, and still went on to win retail. Gavin Baker on Invest Like the Best answers with live pricing: GPU spot rates climbed 50-60% in seven months, open-source models consume identical compute per token, and hyperscaler contracts are set to reprice upward.

Ben Horowitz sits between them on a16z, conceding that valuations have risen further than anything in his career while insisting demand has risen just as far. The synthesizing read: Grantham describes what happens to prices paid, and Baker describes what is happening to units shipped. Both can be true simultaneously, which is precisely how 1999 worked. The one practical instruction all three leave you with is Grantham's opening rule, which is to stay diversified across economic forces: stocks, bonds, commodities, and cash.

Theme 3: Your edge is whatever the professionals structurally cannot use

Chris Camillo's social arbitrage and Mitchell Green's capital efficiency screen look like opposites, and they are the same move. Camillo reads TikTok comments because an institution requires a provable historical correlation before it can act, which leaves consumer behavior visible and untradeable for weeks at a time. Green cold-called 10,000 companies and follows through on every promised introduction, because most people skip the follow-through. Tony James built DLJ inside businesses that larger firms found culturally uncomfortable, and 3G concentrates where diversified funds are obligated to spread.

The pattern across all four: locate the thing that is available to you and structurally awkward for everyone bigger, then do it relentlessly. For an individual investor that list is short and real. You can hold for twenty years, which almost no fund can promise its LPs. You can concentrate. And you can notice what your own household buys weeks before any dataset records it.

Every episode referenced

Frequently Asked Questions

What is the best investing podcast to start with?

Start with the Acquired episode on Vanguard. It runs nearly four hours and hands you the foundation everything else builds on: Jack Bogle's insight that investors in aggregate are the market, plus the fee arithmetic that makes low cost the most reliable edge available to an individual. Follow it with JL Collins on Diary of a CEO, which is the household-scale version of the same idea.

What are the best investing podcasts for beginners?

Three episodes here assume zero background. JL Collins on Diary of a CEO covers debt, savings rate, and index funds. The Acquired Vanguard episode explains why fees deserve more of your attention than stock picks. Mohnish Pabrai on My First Million explains why patience outperforms analysis, including his point that index funds plus inactivity beat more than 90% of investors.

Where can I listen to these investing podcasts on Spotify or YouTube?

All twelve episodes are published free on their own feeds, so Spotify, Apple Podcasts, and YouTube all carry them. Eleven of the twelve have official full length uploads on the show's own YouTube channel, and we embedded those here so you can jump straight to the conversation. Our written summaries sit alongside each one for anyone who prefers to read first.

Which investing podcast best explains the AI market?

Listen to Gavin Baker on Invest Like the Best and Jeremy Grantham on Impact Theory back to back. Baker brings current data, including GPU spot pricing up 50-60% in seven months and hyperscaler contracts repricing higher. Grantham brings the historical pattern, where transformative technologies attract overinvestment and punish the first wave. Ben Horowitz on a16z sits between them with a practicing investor's read on AI valuations.

Which investing podcasts show how professionals actually pick investments?

The Invest Like the Best episodes on this list are the closest thing to sitting inside an investment committee. Mitchell Green of Lead Edge gives a hard screening rule, where revenue must exceed cumulative cash burn. 3G Capital explains raising a fund per deal. The Liberty Mutual CIO walks through choosing exposures before choosing products. All-In's pitch competition then puts four complete theses on stage with the numbers attached.

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