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ILTB · May 28, 2026

Dan Loeb - Lessons from 30 Years of Investing

🎙 Patrick O'Shaughnessy · Dan Loeb
31 claims3 predictions14 facts5 notable quotes raw JSON ↗

Dan Loeb, founder and CEO of Third Point (started 1995 with a few million dollars, now $24B across equities, credit, venture, and insurance), walks Patrick O'Shaughnessy through 30 years of stylistic evolution: from Joel Greenblatt-style event-driven investing in spinoffs and post-reorg equities, to quality and thematic investing organized around industry experts, to a credit-heavy multi-strategy platform with CLOs, structured credit, and an insurance float business. On markets today, he frames macro as dominated by two questions — oil and AI — names NVIDIA, Anthropic, and Elon Musk's companies the three most consequential, argues the AI complex is not a dot-com-style valuation bubble and is Third Point's largest area of investment, and holds that quant- and pod-driven anomalies plus human nature ('nothing new under the sun') will keep creating opportunities for fundamental investors. He recounts his governance philosophy and the Sotheby's and Sony activism campaigns (including pushing corporate governance into Abe's Three Arrows agenda), the Danaher Business System as his most instructive investment, and the fulcrum-security credit wins in Twitter and XAI debt. He closes on FTX as his hardest lesson, the mistake of assuming parts of info services were AI-proof, pushing his team to adopt AI hands-on, what a great analyst looks like now (a 'junior Gavin Baker'), and the business value of kindness.

TAKEAWAYS

My biggest takeaways from Dan Loeb, founder and CEO of Third Point

  1. 01

    AI will test, but not break, the rule that there is nothing new under the sun.

    Dan's core market philosophy is that the tools change and human nature does not: hysterias, bubbles, and panics keep showing up at both extremes. His live example is semis selling off on great numbers. Micron printed a quarter up 80%, way ahead of expectations, and the stock barely moved before falling, because the SOX had already priced in perfection. Add forced selling by quants, CTAs, and pods, rational for their models but not for long-term holders, and you get anomalies that fundamental investors can keep exploiting.

    “It will test the theory that there's nothing new under the sun. And the thing that doesn't change is hysterias, bubbles, panics, and just the extremes of human nature, both optimistically and pessimistically.”
    Dan Loeb · 18:02
  2. 02

    You have to be a tech person today; punting on technology is no longer an option.

    Dan says the traditional macro dashboard of growth, inflation, rates, and currencies is currently trumped by two things: where oil goes, and AI's spending, infrastructure, and economic impact. His organizing framework is Jensen Huang's stack of power, chips, infrastructure, models, and applications, with the SOX up 40% this year. He names NVIDIA, Anthropic, and Elon Musk's companies taken together as the three most consequential companies in the world right now.

    “I think you have to be a tech person today. It's a big and growing and compounding part of the economy. It affects everything else.”
    Dan Loeb · 4:53
  3. 03

    This is not the dot-com bubble, and the AI complex is where the bulk of Third Point's capital sits.

    Dan's distinction is funding: hyperscalers pay for capex out of enormous cash generation on their own balance sheets, and the valuation excess of 1999 is absent. NVIDIA at 15x 2027 and 12x 2028 earnings is, in his words, a catch-up trade for the most dominant fast-growing company of its size. Unless you believe AI rolls over around 2031 or 2032, semis, cap equipment, and hyperscalers are the most attractive sector, and he is in the optimist camp on enterprise adoption, citing Anthropic's growth and the coming Mythos generation.

    “You don't have the valuation bubble now on those companies that you had on those companies back in those days.”
    Dan Loeb · 38:14
  4. 04

    The investors who did not survive the last decade were the ones too stubborn to pay up for quality.

    Dan traces Third Point's own shift from Greenblatt-style event-driven deep value, spinoffs and post-reorg equities, into businesses with moats and high returns on capital, organized around industry experts. The peers who underperformed or disappeared were stuck on low multiples and inflexible about moving into growthier companies. The twist he adds: AI disruption just made last year into this year roughly the worst stretch for apparently high-quality companies, which very rapidly became less so.

    “people were really stuck on the idea of deep value, low multiples, being really stubborn about how they viewed businesses and less flexible about moving into higher multiple companies or growthier companies”
    Dan Loeb · 11:35
  5. 05

    "AI-proof" was Third Point's mistake of the last two years.

    Dan's recent errors were controversial info-services companies the firm thought it understood better than the market, on the theory that proprietary data would shield them from AI. It did not. He expects a shakeout in that group, with some phoenixes rising from the ashes, and calls it the investment lesson of the last year or so.

    “But where we've made the mistake is thinking that companies that were controversial, but we thought we knew better, that AI wasn't really going to affect this part of the Info Services business, or these guys had proprietary information.”
    Dan Loeb · 52:20
  6. 06

    The worst governance failure is a board's loyalty to a CEO who is not up to the job.

    Dan learned governance from his father, a securities lawyer who wrote books on the subject and sat on the Mattel and Williams-Sonoma boards, and he praises the American board system overall. The failure mode is boards losing sight of fiduciary duty, usually out of personal loyalty to an underperforming chief executive. He also calls the Business Roundtable's retreat from shareholder primacy a distraction from what a board's real duty is.

    “Bad governance I've seen is when they let their loyalty or relationship to a CEO who's not up to the job, overshadow their duty to shareholders.”
    Dan Loeb · 23:51
  7. 07

    If you can see something badly run, there are probably ten times more things badly run underneath.

    Dan's Sotheby's campaign is the case study: a high-status company run unprofitably since its antitrust scandal, where Third Point bought 9.9%, pushed the board, replaced the CEO with Tad Smith from MSG, and eventually saw the company sold. The lesson he took is that visible mismanagement is the tip of an iceberg, so Third Point now prefers great companies with excellent management over fixing broken ones.

    “Because what you find is that if the things that you've identified are badly run, then there's probably ten times more things that are badly run.”
    Dan Loeb · 30:19
  8. 08

    Beyond money and lawyers, the best activist lever is writing.

    Dan ranks social pressure alongside financial and legal levers, and says the way to apply it is through writing and PR around the company. At Sony, where Third Point owned 7% at peak, that meant leaking the thesis to the New York Times, pushing for separation of the businesses, and, with Larry Lindsay and Niall Ferguson, publishing an AEI paper that got corporate governance and return on invested capital onto Abe's Three Arrows agenda. Even so, his one-line summary of that campaign is that activism in Japan is really hard.

    “Social pressure is actually a very effective way and I think the best way to put social pressure on a company is through writing and PR efforts around the company.”
    Dan Loeb · 26:32
  9. 09

    Third Point's real edge is that it can always default into credit.

    Dan maps the firm as a roughly $9B hedge fund that is about 30% credit, a $7B CLO business, structured credit, insurance float, and a new private credit arm, all built around finding the fulcrum security in a capital structure. When the resold Twitter buyout debt scared off credit investors at 96 or 97 cents on the dollar and a 12% yield, Third Point made it its largest credit position. In COVID, piling into investment-grade credit rather than stocks made the year, and going into the war the firm carried more credit than equity for the first time since 2009.

    “The differentiator for us is that we can always default into credit investing.”
    Dan Loeb · 54:45
  10. 10

    FTX was the hardest lesson: checking bank balances is now part of diligence.

    Dan says FTX looked great, was growing fast, and appeared verifiable on the blockchain, and it still was not what it seemed. Basic due diligence like confirming the cash in the bank would probably have caught it, so that is now in the checklist. He still credits the founder's venture picks, including Cursor and Anthropic, as proof that, fraud aside, the man had a great nose for value.

    “I would have to say our investment in FTX. It looked great. The company was growing fast. We could verify it all on the blockchain.”
    Dan Loeb · 51:20
  11. 11

    The great analyst today is a junior Gavin Baker, not a fast model-builder.

    Dan contrasts his own 1990s edge, building models from his Drexel Burnham bankruptcy work, with what wins now: someone who understands an industry and the nuances of its technology. His other archetype is the analyst who flew to Texas to eat Casey's pizza and discovered a pizza chain masquerading as a convenience store. Inside Third Point he pushes everyone to use AI hands-on, with experts coaching the team and some analysts running agents overnight, because the only way to get good at it is to use it.

    “I think now it's somebody who's like a Gavin Baker type, a junior Gavin Baker, somebody who understands a company or understands an industry and understands the nuances of a technology.”
    Dan Loeb · 56:28
  12. 12

    Kindness is an underrated business asset.

    Dan puts kindness high in the hierarchy of traits because it enables empathy, and empathy is what lets you connect with people, learn from them, and build the deep relationships that eventually benefit the business. He ties it to his friend Carter, whose couch and first capital launched Third Point, and closes on the line that the one thing money does not buy you is friends who believed in you when you had nothing.

    “Kindness enables you to be empathetic. I think it's that empathy that enables you to connect with people, to learn from them, to be better as a human being.”
    Dan Loeb · 1:00:25
post Copy as a post — the same 12 takeaways as plain text, timestamps included
My biggest takeaways from Dan Loeb, founder and CEO of Third Point:

1. AI will test, but not break, the rule that there is nothing new under the sun. Dan's core market philosophy is that the tools change and human nature does not: hysterias, bubbles, and panics keep showing up at both extremes. His live example is semis selling off on great numbers. Micron printed a quarter up 80%, way ahead of expectations, and the stock barely moved before falling, because the SOX had already priced in perfection. Add forced selling by quants, CTAs, and pods, rational for their models but not for long-term holders, and you get anomalies that fundamental investors can keep exploiting. [18:02]

2. You have to be a tech person today; punting on technology is no longer an option. Dan says the traditional macro dashboard of growth, inflation, rates, and currencies is currently trumped by two things: where oil goes, and AI's spending, infrastructure, and economic impact. His organizing framework is Jensen Huang's stack of power, chips, infrastructure, models, and applications, with the SOX up 40% this year. He names NVIDIA, Anthropic, and Elon Musk's companies taken together as the three most consequential companies in the world right now. [4:53]

3. This is not the dot-com bubble, and the AI complex is where the bulk of Third Point's capital sits. Dan's distinction is funding: hyperscalers pay for capex out of enormous cash generation on their own balance sheets, and the valuation excess of 1999 is absent. NVIDIA at 15x 2027 and 12x 2028 earnings is, in his words, a catch-up trade for the most dominant fast-growing company of its size. Unless you believe AI rolls over around 2031 or 2032, semis, cap equipment, and hyperscalers are the most attractive sector, and he is in the optimist camp on enterprise adoption, citing Anthropic's growth and the coming Mythos generation. [38:14]

4. The investors who did not survive the last decade were the ones too stubborn to pay up for quality. Dan traces Third Point's own shift from Greenblatt-style event-driven deep value, spinoffs and post-reorg equities, into businesses with moats and high returns on capital, organized around industry experts. The peers who underperformed or disappeared were stuck on low multiples and inflexible about moving into growthier companies. The twist he adds: AI disruption just made last year into this year roughly the worst stretch for apparently high-quality companies, which very rapidly became less so. [11:35]

5. "AI-proof" was Third Point's mistake of the last two years. Dan's recent errors were controversial info-services companies the firm thought it understood better than the market, on the theory that proprietary data would shield them from AI. It did not. He expects a shakeout in that group, with some phoenixes rising from the ashes, and calls it the investment lesson of the last year or so. [52:20]

6. The worst governance failure is a board's loyalty to a CEO who is not up to the job. Dan learned governance from his father, a securities lawyer who wrote books on the subject and sat on the Mattel and Williams-Sonoma boards, and he praises the American board system overall. The failure mode is boards losing sight of fiduciary duty, usually out of personal loyalty to an underperforming chief executive. He also calls the Business Roundtable's retreat from shareholder primacy a distraction from what a board's real duty is. [23:51]

7. If you can see something badly run, there are probably ten times more things badly run underneath. Dan's Sotheby's campaign is the case study: a high-status company run unprofitably since its antitrust scandal, where Third Point bought 9.9%, pushed the board, replaced the CEO with Tad Smith from MSG, and eventually saw the company sold. The lesson he took is that visible mismanagement is the tip of an iceberg, so Third Point now prefers great companies with excellent management over fixing broken ones. [30:19]

8. Beyond money and lawyers, the best activist lever is writing. Dan ranks social pressure alongside financial and legal levers, and says the way to apply it is through writing and PR around the company. At Sony, where Third Point owned 7% at peak, that meant leaking the thesis to the New York Times, pushing for separation of the businesses, and, with Larry Lindsay and Niall Ferguson, publishing an AEI paper that got corporate governance and return on invested capital onto Abe's Three Arrows agenda. Even so, his one-line summary of that campaign is that activism in Japan is really hard. [26:32]

9. Third Point's real edge is that it can always default into credit. Dan maps the firm as a roughly $9B hedge fund that is about 30% credit, a $7B CLO business, structured credit, insurance float, and a new private credit arm, all built around finding the fulcrum security in a capital structure. When the resold Twitter buyout debt scared off credit investors at 96 or 97 cents on the dollar and a 12% yield, Third Point made it its largest credit position. In COVID, piling into investment-grade credit rather than stocks made the year, and going into the war the firm carried more credit than equity for the first time since 2009. [54:45]

10. FTX was the hardest lesson: checking bank balances is now part of diligence. Dan says FTX looked great, was growing fast, and appeared verifiable on the blockchain, and it still was not what it seemed. Basic due diligence like confirming the cash in the bank would probably have caught it, so that is now in the checklist. He still credits the founder's venture picks, including Cursor and Anthropic, as proof that, fraud aside, the man had a great nose for value. [51:20]

11. The great analyst today is a junior Gavin Baker, not a fast model-builder. Dan contrasts his own 1990s edge, building models from his Drexel Burnham bankruptcy work, with what wins now: someone who understands an industry and the nuances of its technology. His other archetype is the analyst who flew to Texas to eat Casey's pizza and discovered a pizza chain masquerading as a convenience store. Inside Third Point he pushes everyone to use AI hands-on, with experts coaching the team and some analysts running agents overnight, because the only way to get good at it is to use it. [56:28]

12. Kindness is an underrated business asset. Dan puts kindness high in the hierarchy of traits because it enables empathy, and empathy is what lets you connect with people, learn from them, and build the deep relationships that eventually benefit the business. He ties it to his friend Carter, whose couch and first capital launched Third Point, and closes on the line that the one thing money does not buy you is friends who believed in you when you had nothing. [1:00:25]

— Invest Like the Best, "Dan Loeb - Lessons from 30 Years of Investing" (2026-05-28)
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SEGMENTS

3:46
Staying on top of the firehose: oil and AI trump traditional macro

Loeb says he avoids minute-to-minute noise and argues conventional macro indicators are currently trumped by two things: oil (driven by the war and geopolitics) and AI's spending, infrastructure, and economic impact.

4:53
The AI stack mental model and the three most consequential companies

Loeb argues every investor must now be a tech person, uses Jensen Huang's AI stack (power, chips, infrastructure, models, applications) as his framework, notes the SOX is up 40%, and names NVIDIA, Anthropic, and Elon Musk's companies collectively as the three most consequential companies.

7:09
Event-driven roots: Jefferies, Greenblatt, and spinoff economics

Loeb traces Third Point's origins to his credit experience at Jefferies watching investors like David Tepper, and the Joel Greenblatt event-driven playbook — spinoffs, demutualizations, privatizations — where incentive-driven sandbagging and liquidity gaps created cheap new securities; this was the fund's bread and butter from 1995 to roughly 2013-15.

11:35
Evolution to quality and thematic investing

Loeb describes shifting from deep value into quality businesses with moats and high return on capital (influenced by The Outsiders and Cunningham's Quality Investing), organizing the team around industry experts — and notes AI disruption just made many apparently high-quality companies rapidly less so.

14:17
Eric Schmidt's Davos warning and essentialism

Loeb recounts a 2013 Davos dinner where Eric Schmidt predicted technological change would only accelerate; Loeb says Schmidt was right, change has logarithmically accelerated into AI, and adopts the Essentialism idea (via Brad Gerstner) of focusing only on what matters most.

18:02
AI vs. human nature in markets: semis, expectations, and anomalies

Loeb invokes 'nothing new under the sun' — hysterias, bubbles, and panics persist — explains semis selling off on great numbers because expectations were too high (NVIDIA, Micron, Meta examples), and argues quant/CTA/pod forced selling creates anomalies that fundamental investors can exploit.

21:26
Where humans stay in the loop: creditors' committees and private deals

Loeb argues AI will not do private equity or high-touch negotiated work — creditors' committees, restructurings, private credit — so humans will always be needed for that part of the investment business.

22:34
Corporate governance: the system, its failure modes, and the power of writing

Influenced by his securities-lawyer father, Loeb praises the American board system but identifies bad governance as boards losing sight of fiduciary duty — especially loyalty to an underperforming CEO — criticizes the Business Roundtable's retreat from shareholder primacy, and describes writing and PR as the most effective social-pressure lever in activism.

27:58
The Sotheby's campaign and the status gap

Loeb tells the Sotheby's story: a high-status but mismanaged company run unprofitably since an antitrust scandal; Third Point bought 9.9%, pushed the board, replaced the CEO with Tad Smith from MSG, and the company was eventually sold. He now prefers great companies with great management, since visible mismanagement implies ten times more hidden problems.

31:45
Third Point's structure and fulcrum-security investing

Loeb maps Third Point's businesses — the ~$9B hedge fund (about 30% credit), a ~$7B CLO business, structured credit, insurance, asbestos liabilities, and a new private credit arm — united by finding the fulcrum security in a capital structure, illustrated by Credit Suisse paper and large credit positions in Twitter and XAI debt.

37:07
Big tech setup today: the not-a-bubble case

Loeb calls the setup great — NVIDIA at 15x 2027 earnings is a catch-up trade — says the AI complex is where the bulk of Third Point's capital is invested, and distinguishes today from the dot-com bubble because hyperscalers fund capex from enormous cash generation; he is in the optimist camp on AI adoption, citing Anthropic's growth and the coming Mythos generation.

39:47
Rest of world: Japan, Korea, Europe, and the Sony story

Loeb is more bullish on Korea, Taiwan, and Japan than regulation-challenged Europe, and tells the Sony activism story — owning 7% at peak, leaking the thesis to the New York Times, pushing separation of businesses, and getting corporate governance and return on invested capital added to Japan's Three Arrows reform agenda via an AEI paper with Larry Lindsay and Niall Ferguson.

44:26
Danaher: the most instructive investment

Loeb calls Danaher the most instructive investment of his career — a true corporate operating system of continuous improvement and accountability where underperformance is celebrated as fixable — though COVID-era distortions ended the position's run.

49:04
The insurance and float business

Loeb recounts starting a Bermuda reinsurer in 2010 with Kelso and Pine Brook that struggled with P&C losses, concluding annuities were the right vehicle, and merging the reinsurance company into the repurposed Third Point Offshore Investors vehicle to write annuities with credit-managed float.

51:20
Hardest lessons: FTX and the AI-proof fallacy

Loeb names FTX his hardest investment lesson — diligence now includes checking bank balances — while crediting the founder's venture picks (Cursor, Anthropic), and says Third Point's recent mistake was holding info-services companies it wrongly believed AI would not disrupt; he expects a shakeout with some phoenixes.

53:18
Adopting AI at Third Point and what makes a great analyst now

Loeb pushes everyone at Third Point to use AI hands-on — experts coach the team, some run agents overnight — and contrasts the 1990s model-building analyst (his Drexel Burnham bankruptcy work) with today's ideal: a 'junior Gavin Baker' who understands an industry's technology nuances, or the analyst who flew to Texas to eat Casey's pizza.

58:30
The next decade, the Middle East, and kindness

Loeb says his worry is personal time rather than the business, calls the Middle East the most vibrant part of the world, and closes on kindness as an underrated trait that enables empathy, deep relationships, and ultimately business benefit — crediting his friend Carter, whose couch and first capital launched Third Point.

NOTABLE QUOTES

“It will test the theory that there's nothing new under the sun. And the thing that doesn't change is hysterias, bubbles, panics, and just the extremes of human nature, both optimistically and pessimistically.”
Dan Loeb · 18:02 — Distills his core market philosophy: AI may change the tools, but the human-nature anomalies that fundamental investors exploit persist.
“But hold on to your seats, because things are only going to accelerate from here.”
Dan Loeb · 14:17 — Eric Schmidt's 2013 Davos line (recounted by Loeb) — the warning that shaped Loeb's willingness to keep reinventing his strategy.
“AI will not do private equity, always need people to do deals.”
Dan Loeb · 21:26 — His crispest line on where humans remain irreplaceable in investing — negotiation, restructuring, and high-touch private markets.
“They were a pizza chain, masquerading as convenience stores. I had an analyst who went to Texas and ate pizza, and that kind of an analyst today, I think, is what is different.”
Dan Loeb · 56:28 — The Casey's General Stores story — his definition of modern analyst edge: primary, on-the-ground insight over spreadsheet speed.
“the one thing money doesn't buy you is friends that believed in you when you had nothing.”
Dan Loeb · 1:01:31 — His closing line (quoting Gavin Baker quoting Palmer Luckey), tied to the story of his friend Carter whose couch and first capital launched Third Point.

PREDICTIONS ON THE RECORD

Dated and falsifiable — full record at /api/episode/<id>.

Dan Loeb · unspecified · 21:26
AI will not do private equity or high-touch negotiated investing — creditors' committees, restructurings, private credit — humans will always be needed for that part of the investment business.
“If you think about a continuum of public securities and private equity, AI will not do private equity, always need people to do deals.”
Dan Loeb · unspecified · 54:45
AI will create opportunities and net jobs overall, losing jobs in some places but gaining more in others, rather than producing an employment apocalypse.
“I'm still pretty optimistic that it will create opportunities and create jobs and create net jobs.”
Dan Loeb · unspecified · 52:20
There will be a shakeout among AI-disrupted info-services companies, with some phoenixes rising from the ashes.
“There probably will be a shakeout there, where there will be some phoenixes that rise from the ashes, but that's been the investment lesson of the last year or so.”

WHO CLAIMED WHAT

Every position taken in the episode, attributed to its holder, with conviction (0–1) and the verbatim receipt.

Dan Loeb — 30 claims

opinionconviction 0.83:46
Traditional macro indicators (growth, inflation, rates, currencies) are currently trumped by two things: oil (driven by the war and geopolitics) and AI's spending, infrastructure, and societal impact.
“I think that all that stuff is trumped right now by two things. Where's oil?”
assertionconviction 0.854:53
Investors can no longer punt on technology — you have to be a tech person today because tech is a big, growing, compounding part of the economy that affects everything else.
“I think you have to be a tech person today. It's a big and growing and compounding part of the economy. It affects everything else.”
opinionconviction 0.84:53
The three most consequential companies today are NVIDIA, Anthropic, and Elon Musk's companies taken collectively.
“I also think about what's going on in the three most consequential companies today, NVIDIA, Anthropic, and Elon World, all of his companies collectively.”
assertionconviction 0.7511:35
Investors who underperformed or failed to survive the last decade were largely those stuck on deep value and low multiples, too stubborn to move into higher-multiple, growthier quality companies.
“people were really stuck on the idea of deep value, low multiples, being really stubborn about how they viewed businesses and less flexible about moving into higher multiple companies or growthier companies”
assertionconviction 0.7511:35
AI disruption made last year into this year roughly the worst stretch for apparently high-quality companies, which very rapidly became less high-quality.
“A lot of these apparently high-quality companies very rapidly became less so.”
opinionconviction 0.8514:17
Schmidt's acceleration call was right and still holds: technological change has continued to logarithmically accelerate and we are now at the front end of AI.
“Like it has just continued to logarithmically accelerate. And we're going through something now where we're at the front end of AI.”
opinionconviction 0.7518:02
AI will test, but probably not break, the rule that there is nothing new under the sun — hysterias, bubbles, panics, and the extremes of human nature do not change.
“It will test the theory that there's nothing new under the sun. And the thing that doesn't change is hysterias, bubbles, panics, and just the extremes of human nature, both optimistically and pessimistically.”
assertionconviction 0.818:02
The semiconductor selloffs on strong results (NVIDIA, Micron) happened because expectations had gotten too high, not because fundamentals weakened — a recurring expectations anomaly.
“Why is the SOX up so much? It's up so much because all the evidence pointed to the fundamentals in semiconductors, semi-cap equipment, memory, everything around it being super strong. What happened? Expectations were too high.”
opinionconviction 0.7518:02
Forced selling by quants, CTAs, and pods — rational for their business models but not for long-term investors — creates market anomalies that will continue generating opportunities for fundamental investors.
“So you have a lot of these things that will continue to create opportunities, I think, for fundamental investors.”
opinionconviction 0.823:51
The worst governance failure is a board letting loyalty to a CEO who is not up to the job overshadow its duty to shareholders.
“Bad governance I've seen is when they let their loyalty or relationship to a CEO who's not up to the job, overshadow their duty to shareholders.”
opinionconviction 0.723:51
The Business Roundtable's retreat from saying boards' primary responsibility is shareholder value was a distraction from boards' real fiduciary duty.
“But I think especially a few years ago, the Business Roundtable said, we're no longer going to say that board's responsibility is primarily to drive shareholder value. I think it was a distraction from what their real duty is.”
opinionconviction 0.7526:32
Social pressure is the most effective activism lever beyond financial and legal ones, and writing plus PR is the best way to apply it to a company.
“Social pressure is actually a very effective way and I think the best way to put social pressure on a company is through writing and PR efforts around the company.”
opinionconviction 0.7530:19
Third Point now prefers backing great companies with excellent management over fixing mismanaged ones, because visible mismanagement implies roughly ten times more problems beneath the surface.
“Because what you find is that if the things that you've identified are badly run, then there's probably ten times more things that are badly run.”
opinionconviction 0.837:07
NVIDIA remains a buy — a catch-up trade at 15x 2027 and 12x 2028 earnings for the most dominant, fast-growing company of its size.
“You can still buy NVIDIA, maybe the multiple's slightly higher right now, but there's such a catch up trade in NVIDIA at 15 times 27, 12 times 28 for the most dominant, very fast growing company at its size.”
opinionconviction 0.8537:07
Unless you believe AI rolls over around 2031-32, the semis/cap-equipment/hyperscaler complex is the most attractive sector right now — and it is where the bulk of Third Point's capital is invested.
“I think it's most attractive sector right now. It's where the bulk of our capital is invested.”
assertionconviction 0.838:14
Today's AI capex cycle is not a dot-com-style bubble: hyperscalers fund investment from enormous cash generation off their balance sheets, and the valuation excess of that era is absent.
“You don't have the valuation bubble now on those companies that you had on those companies back in those days.”
opinionconviction 0.838:14
Enterprise AI adoption is barely scratching the surface — citing Anthropic's revenue growth, product usefulness, and the next-generation Mythos — so the AI buildout will play out as the optimists expect.
“We're barely scratching the surface. There's so many layers of corporations. They're just getting started. So I'm in the optimist camp in terms of seeing this as something that's going to play out.”
opinionconviction 0.739:47
Korea, Taiwan, and Japan are better hunting grounds for great companies than Europe, where the regulatory environment and attitude toward capitalism make locally-dependent businesses challenged.
“I'm probably more bullish on them just in terms of a hunting ground to find great companies. The European markets are tough right now.”
assertionconviction 0.840:35
Activism in Japan is really hard — the key lesson from the Sony campaign.
“The one thing I learned is that activism in Japan is really hard.”
assertionconviction 0.7540:35
In Japan, the government and shareholders actually want governance reform — entrenched management teams are the real obstacle — and the country is moving in the right direction on cross-shareholdings and book-value discounts.
“But the government actually really wants the companies to do this. It's really the management teams that are more entrenched, because the shareholders and the government want that.”
opinionconviction 0.844:26
Danaher was the most instructive investment of his career because it is truly one of the best-run businesses, with a real corporate operating system of continuous improvement.
“I think investing in Danahur has been the most instructive because it really is truly one of the best run businesses.”
opinionconviction 0.951:20
FTX was the hardest investment lesson of his career — it looked great, was growing fast, and seemed verifiable on the blockchain, but was not what it appeared; basic due diligence like checking bank balances would probably have caught it.
“I would have to say our investment in FTX. It looked great. The company was growing fast. We could verify it all on the blockchain.”
opinionconviction 0.7552:20
Despite the fraud, the FTX founder had a great nose for venture value, picking winners like Cursor, Anthropic, and Solana.
“Cursor, Anthropic, Solano, everything he did, that guy had a great nose for value.”
assertionconviction 0.852:20
Third Point's investment mistake of the last two years was believing certain controversial info-services companies were AI-proof because of proprietary information — AI disrupted them anyway.
“But where we've made the mistake is thinking that companies that were controversial, but we thought we knew better, that AI wasn't really going to affect this part of the Info Services business, or these guys had proprietary information.”
opinionconviction 0.853:18
The only way to get good at AI is to use it — it makes individuals autonomous self-improvers and gives back whatever effort you put into it.
“The only way to get good at this is just to use it.”
opinionconviction 0.754:45
Third Point is less pessimistic than its peers that AI will cause some kind of apocalypse — that contrarian optimism is where the firm most differs from comparable managers.
“I think we're maybe less pessimistic that there's going to be some kind of apocalypse from AI.”
opinionconviction 0.7554:45
Third Point's structural differentiator is the ability to default into credit investing in stressed periods — as in COVID, when piling into investment-grade credit, not stocks, made the year.
“The differentiator for us is that we can always default into credit investing.”
opinionconviction 0.7556:28
The great analyst today is no longer the fast model-builder of the 1990s but a 'junior Gavin Baker' — someone who deeply understands an industry and the nuances of its technology, or who does primary work like flying to Texas to eat Casey's pizza.
“I think now it's somebody who's like a Gavin Baker type, a junior Gavin Baker, somebody who understands a company or understands an industry and understands the nuances of a technology.”
opinionconviction 0.758:30
The Middle East is probably the most vibrant and interesting part of the world today, with Gulf states becoming better US allies than NATO and growth rates to match.
“To travel to the Middle East, which I think is probably the most vibrant, interesting part of the world.”
opinionconviction 0.81:00:25
Kindness belongs high in the hierarchy of traits because it enables empathy and deep relationships — and, ultimately, benefits your business.
“Kindness enables you to be empathetic. I think it's that empathy that enables you to connect with people, to learn from them, to be better as a human being.”

Eric Schmidt — 1 claim

assertionconviction 0.914:17voiced by Dan Loeb
Technological innovation and disruption will not revert to a steadier pace — it will only accelerate from here (said at a 2013 Davos dinner).
“But hold on to your seats, because things are only going to accelerate from here.”

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