팟캐스트 트레이드 아이디어

All-In Podcast

Adam Foroughi, Applovin CEO: Surviving a 92% Drawdown, Ads as ML 1.0 & the $50B Game Ad Market

2026년 9월 20일17h

AppLovin CEO Adam Foroughi discussed the company's transformation from a regression model to a deep-learning advertising platform, its massive addressable market in mobile gaming and e-commerce discovery, and its extreme stock volatility (from a $3.8B market cap back to $250B). The most actionable takeaway is his aggressive share buyback as a key driver of value, alongside strong EBITDA margins and growth into new markets like e-commerce.

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포지션 · 1

• ▶ 12:13APP롱AppLovin's deep learning ad platform is scaling into a $50B mobile gaming market and e-commerce, with 84% EBITDA margins and aggressive buybacks driving shareholder value. — Adam Foroughi+3.7% 에피소드 이후
  이 트레이드의 근거

  “we kicked off a super aggressive buyback program and and over the since then, I think we bought roughly $6,000,000,000 of the company's stock” — Adam Foroughi

  1. Foroughi claims AppLovin's ML 2.0 ad model creates discovery and economic expansion for advertisers, growing ad spend from $11B to $20B on its platform.
  2. High margins and strong cash flow allowed the company to buy back ~$6B of stock, retiring 20-25% of shares, which amplified returns.
  3. As the stock re-rates, continued execution in e-commerce and mobile gaming should drive further upside.

All-In Podcast

Bill Gurley: Searching for Feynman

2026년 9월 19일62h

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All-In Podcast

Jared Isaacman: A New Era for NASA and American Space Exploration

2026년 9월 18일70h

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아이디어 · 5

• ▶ 37:31SPCX롱Isaacman says the US would be 'seriously challenged' in space without SpaceX — it is NASA's most important launch partner for crew, cargo and heavy missions. — Jared Isaacman+4.1% 에피소드 이후
  이 트레이드의 근거

  “SpaceX is our our I mean, they're they're incredible. I mean, they're our most important launch partner. We can't send astronauts to and from the space station without them.” — Jared Isaacman

  1. Isaacman: 'SpaceX is our most important launch partner' and America can't send astronauts to the ISS without them.
  2. SpaceX is supplying an Artemis lander test vehicle and is repeatedly credited as the enabler of NASA's plans.
  3. Resulting view: NASA's accelerating lunar/Artemis cadence is a structural demand tailwind for SpaceX, though it is currently private.
• ▶ 37:31GOOGL롱SpaceX → As SpaceX's largest outside shareholder, Alphabet is the most direct listed proxy for the NASA-demand tailwind Isaacman describes for SpaceX. — Jared Isaacman+2.2% 에피소드 이후
  이 트레이드의 근거

  “SpaceX is our our I mean, they're they're incredible. I mean, they're our most important launch partner. We can't send astronauts to and from the space station without them.” — Jared Isaacman

  1. Isaacman says the US would be 'seriously challenged' without SpaceX, making SpaceX central to NASA's lunar and launch plans.
  2. Alphabet holds a well-known minority equity stake in SpaceX (with Google also a SpaceX customer).
  3. Resulting trade: own GOOGL as a liquid listed way to hold SpaceX exposure; note the stake is small relative to Alphabet's core business.
• ▶ 6:42Blue Origin롱Blue Origin is one of the two lander companies Isaacman names for Artemis 3, positioning it as a direct beneficiary of NASA's multi-launch lunar campaign. — Jared Isaacman–
  이 트레이드의 근거

  “Artemis three will launch on SLS into low Earth orbit and rendezvous with lander test vehicles from Blue Origin and SpaceX” — Jared Isaacman

  1. Isaacman: Artemis 3 will 'rendezvous with lander test vehicles from Blue Origin and SpaceX.'
  2. He frames the next four years as 'dozens of landers, dozens of rovers' — a broad demand signal to industry.
  3. Resulting view: a listed spacecraft/defense supplier building Blue Origin's lander should benefit; Blue Origin itself is private.
• ▶ 6:42AMZN롱Blue Origin → Amazon is the listed parent whose founder funds Blue Origin, offering indirect exposure to NASA's Artemis lander contracts at a trivial market impact. — Jared Isaacman+1.0% 에피소드 이후
  이 트레이드의 근거

  “Artemis three will launch on SLS into low Earth orbit and rendezvous with lander test vehicles from Blue Origin and SpaceX” — Jared Isaacman

  1. Isaacman names Blue Origin as an Artemis 3 lander test-vehicle provider and a key partner in NASA's lunar base plans.
  2. Blue Origin is wholly owned by Jeff Bezos and funded by Amazon share sales.
  3. Resulting trade: own AMZN as a listed adjacency to Blue Origin, while noting the exposure is immaterial to Amazon's P&L.
• ▶ 25:44RKLB롱Isaacman explicitly names Rocket Lab among NASA's key commercial partners and calls for a 'demand signal' of dozens of landers and rovers — a structural tailwind for launch providers. — Jared Isaacman+7.2% 에피소드 이후
  이 트레이드의 근거

  “If you're doing exactly what SpaceX, Blue, Rocket Lab, Stoke, ULA, and others are doing in the industry except you're doing it off, you know, 50 year old shuttle hardware” — Jared Isaacman

  1. Isaacman: if NASA does what SpaceX, 'Blue, Rocket Lab, Stoke, ULA, and others' do with old shuttle hardware, 'you're gonna lose that workforce.'
  2. He argues NASA should be 'one customer of many' and hand mature services back to industry.
  3. Resulting trade: a NASA lunar/Artemis cadence with 'dozens of landers, dozens of rovers' broadens the addressable launch market for Rocket Lab.

All-In Podcast

Nick Shirley: Exposing Government Fraud, Suing California & Taking on the Media

2026년 9월 18일86h

This episode centers on journalist Nick Shirley's investigations into government fraud, the California high-speed rail boondoggle (costs ballooning from $33B to an estimated $236B with no track laid), and his lawsuit against California over a law limiting his reporting. The hosts praise his work and compare it to legacy investigative journalism, but no actionable stock, ETF, or tradable asset calls are made by any participant.

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All-In Podcast

Meta's Dina Powell McCormick: The Case for Data Centers, Backlash, AI Job Boom & Meta's Future

2026년 9월 17일93h

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아이디어 · 2

• ▶ 42:18META롱Powell McCormick argues Meta's data-center investment is a net positive that communities want, and its 3.6B daily-user platform plus open-source AI give it a durable distribution advantage. — Dina Powell McCormick+4.9% 에피소드 이후
  이 트레이드의 근거

  “we know that 3,600,000,000 people are on our platform every single day. 200,000,000 small business owners operate their business every single day.” — Dina Powell McCormick

  1. She says Meta pays for its own generation, grid resilience and upgrades, taking burdens off local consumers, and that most states want these investments.
  2. That dynamic supports continued AI/data-center capex funded by Meta's core ad business on 3.6B daily users.
  3. Net bullish on Meta as both an AI infra builder and distribution owner.
• ▶ 36:01EssilorLuxottica (Luxottica / Ray-Ban)롱Meta's glasses 'are so excited about this as a product' with features like conversation focus and translation, and Luxottica is the exclusive partner making the stylish frames. — Dina Powell McCormick–
  이 트레이드의 근거

  “Well, they're very stylish... we are so excited about this as a product. The engineers have been working on this for ten years.” — Dina Powell McCormick

  1. She stresses style matters ('if people don't look good in them... they're not going to put them on') and that billions already wear glasses.
  2. Meta has an exclusive partnership with Luxottica/Ray-Ban to build these wearable AI glasses.
  3. Success of the glasses category would directly benefit Luxottica as the manufacturing/brand partner.

All-In Podcast

Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem

2026년 9월 17일107h

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포지션 · 1

• ▶ 15:12Long duration equities broadly (rates-sensitive)회피Rising rates (hike odds >90%) raise the hurdle rate as AI capex is debt-funded; 5.5% on the 10-year would be 'a big burden' on equities, so he stays 'medium' rather than large. — Brad Gerstner–
  이 트레이드의 근거

  “If you can earn five and a half or 6% on your money without taking equity risk, then, you know, it's going to be a challenge for stocks.” — Brad Gerstner

  1. Gerstner claims rate hikes are coming with over 90% probability, and AI data centers are financed with borrowed money, lifting hurdle rates.
  2. Citing Buffett — rates are to stocks what gravity is to matter — 5.5-6% risk-free is a challenge for equities.
  3. Result: stay 'medium' positioned, be mentally flexible, and add or cut based on rates and AI lab revenue.

아이디어 · 11

• ▶ 3:16NVDA롱Not a bubble: Nvidia trades at only ~14x next year's fully-taxed GAAP earnings while AI capex super cycle continues. — Brad Gerstner+3.9% 에피소드 이후
  이 트레이드의 근거

  “Nvidia, trading at 14 times next year's fully taxed GAAP earnings. This is no bubble like it was in 2000.” — Brad Gerstner

  1. Gerstner claims Nasdaq/SOX/Nvidia all trade well below average multiples and earnings are up 26% driven by AI infrastructure.
  2. Nvidia is the core GPU supplier of the token makers whose capex-to-FCF nearly matches hyperscaler capex.
  3. Result: stay invested in the AI trade, with semis as the engine of returns.
• ▶ 4:01Nasdaq Composite / Semiconductor Index (SOX)롱Semis are 70% of the Nasdaq's return and the index trades below average multiples in an earnings-driven expansion, not multiple expansion. — Brad Gerstner–
  이 트레이드의 근거

  “Semiconductors are 70% of the Nasdaq's return. 70% of the return.” — Brad Gerstner

  1. Gerstner claims this is an earnings-driven market expansion with multiple contraction this year.
  2. Semiconductors are 70% of the Nasdaq's return, tying index performance to the AI capex super cycle.
  3. Result: the Nasdaq/SOX remains the expression of the AI infrastructure cycle, though concentration is 'both good and bad'.
• ▶ 4:21DELL롱Makers of the tokens are making the money — infrastructure suppliers like Dell are posting venture-like returns (up 5x in 18 months). — Brad Gerstner+2.0% 에피소드 이후
  이 트레이드의 근거

  “we have massive public companies that look like venture capital returns. Dell up five x, Hynix up nine x in just eighteen months.” — Brad Gerstner

  1. Gerstner claims the token makers capture the profits while token buyers 'go along for the ride'.
  2. Infrastructure tightness has driven Dell up 5x in just 18 months on AI server demand.
  3. Result: own the infrastructure makers, not just the model buyers.
• ▶ 4:21SK Hynix롱Memory supplier Hynix is up 9x in 18 months as tight AI infrastructure demand flows nearly dollar-for-dollar from hyperscaler capex into semis' free cash flow. — Brad Gerstner–
  이 트레이드의 근거

  “Dell up five x, Hynix up nine x in just eighteen months.” — Brad Gerstner

  1. Gerstner claims hyperscaler capex is almost dollar-for-dollar free cash flow to infrastructure companies.
  2. Hynix is cited as a massive public company that looks like a venture return, up nine-fold in 18 months.
  3. Result: memory/infrastructure suppliers remain key AI trade beneficiaries.
• ▶ 5:54ANTHROPIC롱Anthropic's monthly revenue surging from $2B to $11B (year-end run-rate seen at $100-110B) is the fuse that lit the AI trade and could drive liftoff and an IPO. — Brad Gerstner+1.5% 에피소드 이후
  이 트레이드의 근거

  “Anthropic's monthly revenue. ... And in March it was 11,000,000,000. ... Anthropic IPO ... I think we could go higher” — Brad Gerstner

  1. Gerstner claims the March jump in Anthropic revenue to $11B lit the historic April-May run in AI stocks.
  2. Anthropic reportedly reaches ~$100-110B this year on only ~1.5GW of compute, and adding 4-5GW supports another $100B of revenue.
  3. Result: watch Anthropic's monthly revenue as the single most important data point; an Anthropic IPO this year would signal liftoff.
• ▶ 8:06MSFT롱Hyperscalers like Microsoft build AI capacity 'to rent it', so their fortunes are tied to the off-take revenue that must show up to pay for ~$1.5T annual capex. — Brad Gerstner0.0% 에피소드 이후
  이 트레이드의 근거

  “Microsoft's not paying for it. They're building it to rent it. ... We have to have the off take revenues in order to pay that rent.” — Brad Gerstner

  1. Gerstner claims Microsoft, Google and Amazon aren't paying for capex — they build to rent it — so renters' off-take revenue must materialize.
  2. Microsoft is named as a hyperscaler building capacity to rent, and is OpenAI's key partner (MAIA/Azure).
  3. Result: hyperscalers are levered to AI lab revenue growth; a lab-revenue surge or oil/rate retreat justifies adding chips.
• ▶ 11:38UBER롱AI-driven margin expansion: Uber says it will grow 20% without growing headcount, converting AI into operating leverage. — Brad Gerstner-1.3% 에피소드 이후
  이 트레이드의 근거

  “Uber says we're gonna grow 20%, we're not gonna grow headcount.” — Brad Gerstner

  1. Gerstner claims AI can lift margin expansion from ~38bps to ~100bps for Nasdaq companies.
  2. Uber is cited saying it will grow 20% without adding headcount, the largest cost input (humans/engineers) staying flat.
  3. Result: own companies showing AI-enabled productivity dividends.
• ▶ 11:56SNOW롱AI margin expansion: Snowflake expects 30% growth without headcount growth, a direct example of the productivity dividend. — Brad Gerstner+0.8% 에피소드 이후
  이 트레이드의 근거

  “Snowflake says we're gonna grow 30%, we're not gonna grow headcount.” — Brad Gerstner

  1. Gerstner claims the AI productivity dividend can turn 38bps of annual margin expansion into 100bps.
  2. Snowflake is cited saying it will grow 30% without growing headcount.
  3. Result: companies monetizing AI internally without adding engineers offer margin-expansion upside.
• ▶ 7:27OPENAI롱OpenAI's monthly revenue trajectory (is it $4B or $8B?) is the second key datum alongside Anthropic's; strong numbers mean 'takeoff' for the AI trade. — Brad Gerstner+6.1% 에피소드 이후
  이 트레이드의 근거

  “Anthropix monthly revenue is OpenAI's monthly revenue gonna be 4,000,000,000 or 8,000,000,000? ... I think it's takeoff.” — Brad Gerstner

  1. Gerstner claims the top-three labs (Anthropic, OpenAI, SpaceX) collectively run ~$100B and need to reach ~$180B by year-end to keep the AI trade intact.
  2. If OpenAI's monthly revenue comes in near $8B, Gerstner calls it 'takeoff' and expects an IPO this year.
  3. Result: watch OpenAI monthly revenue as a key trigger; add chips if it's strong, reduce if not.
• ▶ 2:54SPCX롱Among the top-three AI labs by run-rate revenue, SpaceX's valuation is up two-and-a-half-fold in a nasty backdrop — evidence of the AI-driven private-market boom. — Brad Gerstner+3.2% 에피소드 이후
  이 트레이드의 근거

  “OpenAI and Anthropix valuation up two x, SpaceX up two and a half x in a pretty nasty backdrop.” — Brad Gerstner

  1. Gerstner groups SpaceX with Anthropic and OpenAI as the top-three labs with ~$100B collective run-rate revenue.
  2. He cites SpaceX valuation up 2.5x this year despite tariffs, geopolitics and regulation worries.
  3. Result: private AI-adjacent leaders continue to compound; watch their revenue and IPO activity.
• ▶ 2:54Bitcoin회피Despite many Besties predicting gold and Bitcoin would soar, Bitcoin is down 10% this year while AI-driven earnings market works — the AI trade is where the money is. — Brad Gerstner–
  이 트레이드의 근거

  “We have a lot of people in the Bestie group who said gold was gonna be off the charts this year. It's flat. Bitcoin's down 10%.” — Brad Gerstner

  1. Gerstner claims the scoreboard shows gold flat and Bitcoin down 10% in a year the market rose 39% since Jan.
  2. The AI super cycle, not crypto, has generated the returns (Nvidia revenue 2x, hyperscaler capex 2x).
  3. Result: don't chase the gold/Bitcoin narrative; stay in the earnings-driven AI trade.

All-In Podcast

JD Vance on AI, Entitlement Fraud, Iran War, Israel, H-1B Abuse & the Midterms

2026년 9월 15일137h

Vice President JD Vance appeared on the All-In Podcast to discuss the administration's first two years, defending the conflict with Iran as necessary to protect global energy markets, pushing back on AI data-center backlash by advocating massive power buildout, and highlighting H-1B reform and entitlement fraud savings ($250B). Market-relevant topics include energy supply security, AI infrastructure and power demand, and fiscal deficit concerns, but no specific stocks, ETFs, or tradable assets were recommended or given directional views by any speaker.

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All-In Podcast

Satya Nadella on the AI Doomer Slowdown, Microsoft's Master Plan & Who Wins AI

2026년 9월 15일141h

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아이디어 · 4

• ▶ 16:38MSFT롱Nadella argues AI's value shifts to the app and middleware layer, where Microsoft's 30M+ paid Copilot seats and enterprise harness position it to capture margin as model prices collapse. — Satya Nadella-1.4% 에피소드 이후
  이 트레이드의 근거

  “The apps are gonna become much more viable economically, which is great for the ecosystem.” — Satya Nadella

  1. Token-price competition (open-weight models at a fraction of frontier pricing) compresses the model layer's take rate.
  2. He says that dynamic makes app and middleware layers 'much more viable economically,' and he cites real enterprise Copilot workflows with 30M+ seats.
  3. MSFT owns the M365 knowledge-work base (450M users) and the harness/middleware layer, so it is the listed beneficiary of this shift.
• ▶ 0:14MSFT롱Nadella frames Microsoft's OpenAI investment and IP access as a core asset while Azure builds a $80B+ multi-customer AI cloud for the long tail, not just two model labs. — Satya Nadella-1.4% 에피소드 이후
  이 트레이드의 근거

  “I'm going to spend $80,000,000,000 building out Azure.” — Satya Nadella

  1. He says he is 'good for' $80B building out Azure and that the company is renting capacity because it is short on supply.
  2. He stresses Azure must serve many third parties and its own first-party estate, with OpenAI as one of its largest customers.
  3. That demand-driven hyperscale model implies durable Azure revenue tied to the AI buildout.
• ▶ 25:19OPENAI롱Nadella repeatedly calls the OpenAI investment a source of pride and says Microsoft will keep using its IP, while noting frontier model companies can manage token pricing and 'will do fine.' — Satya Nadella+7.3% 에피소드 이후
  이 트레이드의 근거

  “We're thrilled about, obviously, our investment in OpenAI, the access we have to their IP, which we have for a long time.” — Satya Nadella

  1. He says Microsoft is 'thrilled about, obviously, our investment in OpenAI' and its long-term IP access.
  2. He argues model companies retain pricing power via model families even as open-source checks emerge.
  3. The implication is a constructive stance on the private company itself, separate from Microsoft's equity stake.
• ▶ 30:37NVDA롱Nadella says Nvidia remains Microsoft's primary AI compute platform while adding heterogeneous silicon, implying continued core demand for Nvidia's accelerators even as the mix diversifies. — Satya Nadella+5.9% 에피소드 이후
  이 트레이드의 근거

  “We have Jensen stuff, which is I think our primary thing.” — Satya Nadella

  1. He describes Microsoft's kit as short-term, demand-driven assets (racks, chips) representing ~60% of cost.
  2. He says 'We have Jensen stuff, which is our primary thing' alongside AMD and custom chips.
  3. Microsoft's continued hyperscale inference/training build therefore supports Nvidia demand even amid diversification.

All-In Podcast

Elon Musk & Gwynne Shotwell on AI Risks and Peer Review, Starship, Terafab, SpaceX/Tesla Merger

2026년 9월 15일154h

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아이디어 · 2

• ▶ 59:22ANTHROPIC롱Musk says Anthropic puts more care into safety than OpenAI and that peer-review testing will make unsafe releases legally and reputationally costly, favoring the safer lab. — Speaker 0 (Elon Musk)+0.9% 에피소드 이후
  이 트레이드의 근거

  “on balance, I think Anthropic is... puts more care into their safety than than OpenAI” — Speaker 0 (Elon Musk)

  1. Musk states Anthropic is better on safety than OpenAI and that both sets of models are 'quite close in capability.'
  2. If peer review exposes dangerous releases, liability and 'egg on face' risk shifts to the labs that ignore warnings.
  3. Anthropic, perceived as the more careful lab, benefits reputationally and potentially in enterprise adoption.
• ▶ 1:00:00GOOGL롱Musk lists Google among the AI companies whose test harnesses would add unique heterogeneous coverage in peer review, implying its model stack is competitive and integral to the emerging AI safety ecosystem. — Speaker 0 (Elon Musk)+2.7% 에피소드 이후
  이 트레이드의 근거

  “SpaceX is running its test harness and Google and Meta were doing that” — Speaker 0 (Elon Musk)

  1. Musk argues multiple heterogeneous test harnesses (SpaceX, Google, Meta, Chinese firms) would be needed for effective peer review.
  2. That framing implicitly includes Google as a leading frontier player expected to participate in the standard.
  3. If peer review becomes the de facto standard, leading labs like Google are positioned to shape and benefit from it.

All-In Podcast

Jensen Huang: The Doomer Hoax, Superintelligence Is Here, and The Future of AI (ft. President Trump)

2026년 9월 14일161h

In a live episode, NVIDIA CEO Jensen Huang rebutted AI-doom predictions, argued open-source and closed AI models are both needed, and said America should race to exploit AI rather than pause. President Trump called in to call the AI-extinction narrative a "hoax" and framed data centers as "the oil of the next 20-25 years." The hosts repeatedly described NVIDIA as the most important stock in the market and highlighted its full-stack AI-factory position, open-source/autonomy stack, and ecosystem financing role.

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포지션 · 1

• ▶ 0:20NVDA롱Host calls NVIDIA the most important stock in the market and the only full-stack AI factory, with revenue exploding 97% year over year and demand accelerating. — Speaker 1+5.6% 에피소드 이후
  이 트레이드의 근거

  “NVIDIA is the most important stock in this market... Revenue exploded 97% year over year.” — Speaker 1

  1. Host states NVIDIA is "the only computing platform that is a full stack AI factory" with revenue up 97% YoY.
  2. Jensen says NVIDIA runs every major model, funds ecosystem land/power/shell, and expands its open-source stack (Nemotron, Hugging Face, autonomous driving).
  3. Conclusion: own NVDA as the core AI-infrastructure winner.

아이디어 · 11

• ▶ 34:52TSM롱Jensen names TSMC among the critical upstream suppliers that must scale for NVIDIA and the AI buildout to succeed. — Speaker 0+4.9% 에피소드 이후
  이 트레이드의 근거

  “Corning has to support me, Lumentum, and, you know, TSMC, of course, and memory companies.” — Speaker 0

  1. Jensen says NVIDIA thinks about long-term supply chain more than most and needs many companies to support it.
  2. He explicitly lists "TSMC, of course, and memory companies" as needed suppliers.
  3. Resulting trade: long TSMC as a key AI-foundry beneficiary.
• ▶ 34:52GLW롱Jensen names Corning as a supplier that has to support NVIDIA's scaling, making it a direct AI-infrastructure supply-chain beneficiary. — Speaker 0+9.0% 에피소드 이후
  이 트레이드의 근거

  “Corning has to support me, Lumentum, and, you know, TSMC, of course, and memory companies.” — Speaker 0

  1. Jensen discusses the long-term supply chain needed for NVIDIA and the AI buildout.
  2. He specifically says "Corning has to support me."
  3. Resulting trade: long Corning as an AI supply-chain play.
• ▶ 34:52LITE롱Jensen names Lumentum among the suppliers NVIDIA depends on to scale the AI buildout. — Speaker 0+16.2% 에피소드 이후
  이 트레이드의 근거

  “Corning has to support me, Lumentum, and, you know, TSMC, of course, and memory companies.” — Speaker 0

  1. Jensen emphasizes NVIDIA's long-term supply-chain needs.
  2. He explicitly lists Lumentum as a company that supports NVIDIA.
  3. Resulting trade: long Lumentum as an AI-infrastructure supplier.
• ▶ 38:27CRWV롱Jensen says NVIDIA supports and sells to Neo Clouds like CoreWeave, whose agility in securing land, power and shell lets them grow faster than hyperscalers. — Speaker 0+1.5% 에피소드 이후
  이 트레이드의 근거

  “The reason I noticed the early customers of all the neo clouds... were the hyperscalers... with all these regional clouds who are agile and they can move fast” — Speaker 0

  1. Jensen says regional/Neo Clouds are agile, know their local markets, and secure land, power, and shell faster than hyperscalers in Seattle or Palo Alto.
  2. He says NVIDIA helps these Neo Clouds grow and hyperscalers are early customers of them.
  3. Resulting trade: long CoreWeave as a Neo Cloud beneficiary.
• ▶ 38:08NBIS롱Host praises Nebius as a superb Neo Cloud that NVIDIA supports, and says the industry needs many more like it. — Speaker 3+7.2% 에피소드 이후
  이 트레이드의 근거

  “I think you introduced me to Nubia. Superb. Great. Everything. They're amazing. But we need, like, 50 of these guys.” — Speaker 3

  1. Speaker 3 says NVIDIA has done a great job supporting the Neo Clouds and calls Nebius "Superb."
  2. He adds the industry needs 50, 100, 1,000 more of these players.
  3. Resulting trade: long Nebius as a fast-growing Neo Cloud.
• ▶ 36:25META롱Jensen names Meta's Muse model as one of the frontier models now running on NVIDIA's platform, highlighting Meta as a leading AI model builder. — Speaker 0+7.1% 에피소드 이후
  이 트레이드의 근거

  “The MetaMuse is available. You got Grok is available. Grokbot's incredible. We now run Gemini” — Speaker 0

  1. Jensen cites the growing list of frontier models available, including Meta's Muse.
  2. Those models run on NVIDIA, implying Meta is a major AI compute consumer.
  3. Resulting trade: long Meta as a frontier-AI participant.
• ▶ 42:07LLY롱Jensen says NVIDIA builds biology/protein models because Lilly, Merck and others need them, positioning pharma as AI beneficiaries. — Speaker 0+2.5% 에피소드 이후
  이 트레이드의 근거

  “we'll build that because Lilly needs it and Merck needs it and others need it” — Speaker 0

  1. Jensen says NVIDIA built models like ESM-2, AlphaFold2, and Proteina Complexa.
  2. He says "Lilly needs it and Merck needs it" because they lack the capability themselves.
  3. Resulting trade: long Lilly as an AI-drug-discovery beneficiary.
• ▶ 42:07MRK롱Jensen cites Merck as a company that needs NVIDIA's protein/biology AI models, making it a likely beneficiary of AI-driven drug discovery. — Speaker 0+2.4% 에피소드 이후
  이 트레이드의 근거

  “we'll build that because Lilly needs it and Merck needs it and others need it” — Speaker 0

  1. Jensen says NVIDIA builds biology models such as ESM-2 and Protein Complexa.
  2. He explicitly names Merck among the pharma companies that need them.
  3. Resulting trade: long Merck as an AI-biotech beneficiary.
• ▶ 36:25GOOGL롱Jensen names Gemini as a frontier model now running on NVIDIA, showing Alphabet as a top-tier AI model competitor on NVIDIA's platform. — Speaker 0+2.7% 에피소드 이후
  이 트레이드의 근거

  “We now run Gemini, and Anthropic is is scaling up on our platform as well.” — Speaker 0

  1. Jensen lists the frontier models available on NVIDIA's platform.
  2. He names "Gemini" among the growing roster.
  3. Resulting trade: long Alphabet as a frontier-AI player.
• ▶ 35:27AMZN롱Speaker 3 points to better versions of Bedrock as an obvious opportunity, signaling Amazon's AWS AI-serving layer as a beneficiary. — Speaker 3+0.9% 에피소드 이후
  이 트레이드의 근거

  “It seems pretty obvious that there are better versions of ways to build things like Bedrock.” — Speaker 3

  1. Speaker 3 says NVIDIA entering serving via Hugging Face makes products like Open Router/Bedrock natural targets.
  2. Amazon Web Services operates Bedrock as its enterprise model-serving platform.
  3. Resulting trade: long Amazon as an AI cloud/serverless beneficiary.
• ▶ 24:43BE롱President Trump calls data centers "the oil of the next 20-25 years," implying surging demand for on-site power that benefits fuel-cell maker Bloom. — Speaker 5+5.4% 에피소드 이후
  이 트레이드의 근거

  “The data centers are great, and they make people wealthy... it's the oil of the next twenty, twenty five years.” — Speaker 5

  1. Trump says data centers make people and states wealthy and are "the oil of the next twenty, twenty five years."
  2. Jensen repeatedly stresses the need for energy/power generation to support AI data centers.
  3. Resulting trade: long Bloom Energy as a data-center power supplier.