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12:00
Aug 18
Aug 18
ILTB Podcast
4d
AMZN 1ST
SMH 1ST
META 1ST
GOOG 1ST
MSFT
▾
HIGH
Amazon's core business is impervious to AI.
Amazon possesses the deepest moat in technology because its core retail and logistics businesses are highly insulated from AI disruption. Furthermore, Amazon has a proven playbook of building massive infrastructure (like AWS, logistics, and custom silicon such as Graviton and Trainium) to serve its own internal needs first, which gives it the scale to iterate and eventually sell these services externally as highly competitive commodities.
AMZN LONG
High prices will structurally impair memory demand.
Memory makers have created a massive target on their backs by maintaining high prices and constrained supply. This dynamic is incentivizing major customers like Apple to seek Chinese alternatives and driving the industry to develop algorithmic changes specifically designed to use less memory, which will structurally impair the memory market.
SMH AVOID
AI will massively improve Meta's ad targeting.
Meta is uniquely positioned to monetize AI by integrating leading-edge models into its advertising engine. Using its massive, liquid ad marketplace to verify AI-generated content and improve ad matching by even a few percentage points will yield billions in incremental returns, making its massive AI investments highly rational.
META LONG
Google's AI transition mirrors Berkshire's railway acquisition.
Google is undergoing a transition similar to Berkshire Hathaway's shift from See's Candies to the BNSF Railway. While Google's core search business has perfect margins, the AI opportunity targets all white-collar work, offering absolute profits that are astronomically larger despite lower margins. This justifies Google's massive capex and equity issuance to capture the space.
GOOG LONG
AI threatens Microsoft's core software UI business.
Microsoft's core software and systems of record UI businesses are highly vulnerable to disruption by AI models that can easily replicate repetitive tasks. To survive, Microsoft is executing a rational but defensive 1990s IBM playbook—acting as the safe, backwards-compatible middleware for enterprises to adopt AI, which caps its upside compared to frontier AI leaders.
MSFT WATCH
Compute scarcity and geopolitical risks saved Intel.
Intel has been saved by the extreme compute shortage and the geopolitical risks associated with TSMC's monopoly. Big tech companies are now economically incentivized to endure the pain of bringing Intel's foundry business up to speed to secure alternative supply chains, setting Intel up for major future partnerships.
INTC LONG
Hyperscalers with cheaper capital will commoditize Nvidia.
Nvidia's current margins are unnatural and partially propped up by assuming risk through circular financing with neo-clouds. In the long run, Nvidia faces an existential threat from hyperscalers like Google and Amazon, who possess a lower cost of capital and are actively commoditizing AI chips (like TPUs and Trainium) to sell externally.
NVDA WATCH
Compute shortages incentivize routing around TSMC's monopoly.
TSMC's conservative approach to capacity expansion has offloaded significant risk onto big tech companies, resulting in massive foregone revenue due to compute shortages. This scarcity, combined with geopolitical concentration risks, is forcing the industry to route around TSMC by investing heavily in alternative foundries.
TSM WATCH
Apple's physical device moat insulates it.
Apple is well-insulated from AI disruption because its moat is built on deterministic physical goods and unparalleled distribution. Apple does not need to build frontier AI models; it can act as an aggregator, leveraging its massive user base to force AI suppliers to come to them and provide on-device capabilities.
AAPL LONG
HIGH
12:00
Aug 11
Aug 11
ILTB Podcast
11d
NVDA 1ST
NET 1ST
CBRS 1ST
▾
HIGH
Nvidia will benefit from massive AI demand.
The AI market is enormous, many players will win, and Nvidia will absolutely benefit. Demand for compute is far larger than previously sized, Nvidia is central to AI workloads, and the company will continue to do well as the ecosystem expands.
NVDA LONG
Cloudflare emerged as cloud oligopoly winner.
In cloud computing, the fear that AWS would eat all enterprise value was wrong; an oligopoly of AWS, Azure, GCP emerged, and smaller players like Cloudflare also became $100B+ companies. The same pattern will repeat in AI—markets are much larger than expected, and Cloudflare is one of the non-hyperscale winners that will thrive as an edge cloud provider in the AI era.
NET LONG
Cerebras' wafer-scale chip wins in AI.
AI workloads introduce a new constraint—communication-bound processing—that GPUs don't fully solve. Cerebras' wafer-scale chip maximizes cores, inter-core communication, and memory proximity, delivering the best architecture for deep learning. The company has overcome brutal hardware challenges, is now public, and is positioned to be a giant winner in the new generation of AI chips.
CBRS LONG
HIGH
12:00
Aug 04
Aug 04
ILTB Podcast
18d
NVDA
MU
MSFT 1ST
AMZN 1ST
META 1ST
▾
HIGH
NVIDIA undervalued on accelerating AI fundamentals
NVIDIA trades at its lowest forward P/E in 10 years, while underlying AI demand metrics (GPU spot prices, DRAM prices, token growth) are accelerating, not decelerating. The market interprets the selloff as evidence that NVIDIA is significantly over-earning, but actual fundamentals show the opposite. NVIDIA’s strategic dominance is reinforced by a new business model (credit wrapper with revenue share) that effectively gives them a cloud-like royalty stream, strengthens competitive moat, and solves the cash flow mismatch for buyers. The stock is deeply undervalued relative to upside from AI infrastructure buildout.
NVDA LONG
Memory LTA lock-in secures durable pricing
Memory (HBM/DRAM) is the single most important lever to increase token output per unit of compute, making it the axis around which all AI infrastructure revolves. Long-Term Agreements (LTAs) lock hyperscalers into supply; breaking them would destroy the customer’s franchise by risking future allocations. This game theory means memory suppliers have durable pricing power and demand visibility, even in a potential oversupply. The shift from short-term earnings to supply chain agreements is underappreciated, and memory companies are set to benefit from sustained high demand and scarce supply.
MU LONG
Hyperscaler cash flow acceleration funds AI buildout
Hyperscale cloud providers (Microsoft, Meta, Amazon) saw operating cash flow accelerate from 28% to 35% in the most recent quarter, even before AI compute contracts reprice significantly higher. As installed GPU capacity reprices at spot rates, operating cash flows will grow substantially, easily funding the AI capex cycle internally and reducing reliance on credit. The selloff on fears of excess capacity and debt-financed overbuild is therefore misplaced; these stocks are undervalued given the earnings power set to materialize.
MSFT LONG
AMZN LONG
META LONG
ASML selloff on China DUV likely overreaction
China’s reported DUV lithography breakthrough caused a sharp selloff in semiconductor capital equipment stocks. While a domestic DUV capability is a meaningful long-term risk to ASML’s orders, it represents a 2001-era technology, not a near-term threat to EUV dominance. The market likely overreacted, creating a watching opportunity, as any real impact on ASML’s business would be years away and could be forgotten by then. The setup may resolve as a buying opportunity if the initial fear proves exaggerated.
ASML WATCH
SpaceX compute potential severely underpriced
SpaceX’s AI compute business is massively underappreciated by public markets. The company has already shown it can bring on huge GPU clusters faster and cheaper than anyone, and recent product launches (Grok 4.5, Cursor acquisition) suggest accelerating fundamentals. Consensus revenue estimates of $73 billion for next year look far too low given that a single gigawatt of compute can generate around $50 billion in revenue; reports of 8 GW of capacity would imply triple-digit billions. The market is pricing in a commoditizing spot market and a bearish short case, but execution history suggests the opposite—very little upside to the compute story is in the stock.
SPCX LONG
HIGH
12:00
Jul 28
Jul 28
ILTB Podcast
25d
NVDA
MSFT
ORCL 1ST
▾
HIGH
Uncapped AI compute demand benefits partners.
The demand for AI compute is essentially uncapped, and OpenAI's key partners—Microsoft (cloud), Oracle (cloud), and Nvidia (chips)—are positioned to benefit massively from the ongoing buildout of AI infrastructure.
NVDA LONG
MSFT LONG
ORCL LONG
HIGH
12:00
Jul 21
Jul 21
ILTB Podcast
1mo
Residential Solar
BWXT 1ST
CAT 1ST
BE 1ST
EXE 1ST
▾
HIGH
Residential solar booms on expensive power
Residential solar will grow exponentially as one of the only ways for consumers to protect themselves from soaring peak electricity prices driven by the natural gas shortage. Even without tax incentives, it becomes very economic to install solar, especially paired with batteries, given where electricity prices are likely to go.
Residential Solar LONG
Nuclear supplier BWXT gains from reactor buildout
BWXT is the primary nuclear supplier for the US Navy and has significant dollar content in the AP1000 reactor supply chain. It will benefit substantially from the required scale-up of large-scale nuclear construction as the gas crisis forces the US to build new reactors.
BWXT LONG
Caterpillar overinvests in turbines near gas crisis
Caterpillar is doubling its solar turbine capacity between now and the end of 2029, exactly when natural gas may become too expensive and buyers may question deploying new gas-fired assets. This expansion resembles the early 2000s overbuild that led to a bust, positioning Caterpillar poorly as orders for gas generation could slow meaningfully.
CAT AVOID
Bloom Energy faces gas supply constraints
Bloom Energy's fuel cell assets at 2 GW or more of manufacturing capacity will struggle to secure natural gas in competition with all other gas-consuming assets as the shortage emerges. The market is assigning high probability to volumes that cannot be fueled, and fuel cells at scale are more likely backup generation than baseload, leaving Bloom poorly positioned beyond 2028-2029.
BE AVOID
Deeply undervalued gas producer with top assets
Expand Energy controls ~70% of remaining core Haynesville wells and has some of the highest quality rock in the country. Despite its assets being unchanged, the stock has plummeted over the last six months due to a CEO search and is trading at 4x EBITDA on a forward curve that ignores the coming gas shortage. Modeling the facts suggests a much higher gas price, making Expand Energy the biggest winner.
EXE LONG
Historic US natural gas shortage by 2028
The US is heading for a historic natural gas deficit starting in 2028, driven by LNG export capacity growing from 15 to 35 BCF/day and AI compute demand adding ~5 BCF/day of incremental gas demand in the base case, while domestic supply growth is capped at ~20 BCF/day due to well productivity, processing, gathering, and pipeline constraints. Storage draws will break historical lows by 2028-2029, creating unbounded and convex upside price risk for natural gas, with price potentially doubling or tripling structurally.
UNG LONG
High-quality Appalachian gas producer with upside
Range Resources has significant room to grow production and materially grow returns to investors as natural gas prices rise into the supply shortage later this decade.
RRC LONG
Solar yieldco benefits from rising power prices
As natural gas sets the marginal price of power, rising gas prices will drive electricity prices higher. Solar assets, especially utility-scale yieldcos, will experience a windfall because they sell power at market prices with no incremental capital cost. XPLR (formerly NextEra Yield Co) will see material margin expansion in the late 2020s and early 2030s as it marks PPAs to market at higher values.
XIFR LONG
Cameco undervalued on nuclear buildout necessity
Large-scale nuclear is the only viable long-term solution to the gas deficit in the 2030s. Cameco, which owns 49% of Westinghouse, is deeply undervalued as Westinghouse's AP1000 reactors become essential. The US government is lining up procurement, and Cameco will benefit significantly from the coming nuclear cycle.
CCJ LONG
Solar yieldco gains from higher power prices
Similar to XPLR, Split away energy is a solar yieldco that will benefit from higher electricity prices as gas costs rise, without requiring additional capex.
CWEN LONG
HIGH
12:00
Jul 07
Jul 07
ILTB Podcast
1mo
Magnificent Seven (Mag 7) stocks
Software-as-a-Service (SaaS) sector
▾
MED
Mag 7 mispriced despite scale, long obvious.
Long positions in the Magnificent Seven (Mag 7) stocks are good capital allocation because the market lacks nuance and these enormous companies still exhibit nearly 100% 52-week variance, meaning they are not efficiently priced; following consensus on such obvious winners is often right.
Magnificent Seven (Mag 7) stocks LONG
SaaS faces structural margin compression, avoid.
The traditional SaaS business model is in serious trouble because the era of high gross margins from selling copies of software is ending; we are shifting to a compute-intensive world where marginal cost is not zero, leading to lower gross margins, thinner net margins, and massive scale becoming the only path, hurting smaller SaaS providers.
Software-as-a-Service (SaaS) sector AVOID
MED
15:05
Jun 30
Jun 30
ILTB Podcast
1mo
TSM 1ST
▾
HIGH
TSMC wins through unmatched customer service
TSMC's real value is in its exceptional customer service and partnership. They run experiments on their own dime to improve yield, and this collaborative approach makes them the best in the world. As a result, TSMC is going to win and remain number one.
TSM LONG
HIGH
12:00
Jun 23
Jun 23
ILTB Podcast
2mo
US market
VGK 1ST
Short-term corporate bonds
Long-term corporate bonds
XLE 1ST
▾
MED
US markets favored over Europe.
Liberty Mutual focuses its investment capital overwhelmingly on the US, finding ample opportunities and comfort there, while avoiding Europe due to lack of expertise, insufficient relationships, and uncertain geopolitical dynamics. The US offers superior risk-reward and a more favorable environment for their long-term permanent capital.
US market LONG
VGK AVOID
Long short-term credit, short long-term credit.
AI makes long-term corporate viability highly unpredictable. 30-year credit on established software companies like Salesforce or Oracle is substantially riskier than short-term paper, which should structurally steepen corporate credit curves. Four-year paper is safe, while long-dated bonds carry elevated disruption risk.
Short-term corporate bonds LONG
Long-term corporate bonds SHORT
Energy and infrastructure are profitable.
Liberty's energy and infrastructure investment portfolio, which includes direct asset ownership and credit with upside warrants, is delivering strong benefits in the current environment. The firm is positive on the sector and continues to allocate capital there.
XLE LONG
PAVE LONG
MED
12:00
Jun 09
Jun 09
ILTB Podcast
2mo
NVDA 1ST
ANTHROPIC 1ST
GOOG 1ST
Elite Materials
2308.TW 1ST
▾
HIGH
Nvidia at 4x earnings was deeply undervalued.
Nvidia was bought at 4x earnings in 2023 because the AI S-curve is just beginning, with the infrastructure layer only 10% penetrated. The demand for compute is exploding, and Nvidia is the dominant chip supplier with massive earnings power not yet appreciated by the market.
NVDA LONG
Anthropic is highest conviction AI bet.
Anthropic is the highest conviction position because of its strong coding franchise, enterprise focus, superior management, and the massive total addressable market for coding agents, with only 10 bips of knowledge workers using AI today. The foundational model layer is becoming an oligopoly (Anthropic, OpenAI, Google) with strong competitive advantages including IP, brand, scale, and recursive improvement. Anthropic's 10x sales growth and fundraising ability give it escape velocity.
ANTHROPIC LONG
Google is a top AI winner.
Google is one of our largest positions. It has a strong consumer franchise with Gemini, a huge cash cow to fund AI, and is one of three likely winners in the foundational model oligopoly. Google's enterprise strength and ability to compete in coding make it a key AI bet.
GOOG LONG
Elite Materials benefits from high-layer PCBs.
Elite Materials makes copper-clad laminate for PCBs. As AI servers require 40-layer boards (vs 10 for old servers) and unit volumes grow 50-60% per year, the company benefits from rising layer counts, higher ASPs, and increasing margins. It is a critical, scarce component in the AI hardware renaissance.
Elite Materials LONG
Delta and Advanced Energy gain from AI power needs.
Delta Electronics and Advanced Energy supply power supplies for AI servers. Each new Nvidia chip/rack uses 50-125% more power, driving ASPs up 40% per year for the next four years with higher margins. This is a clear beneficiary of the AI infrastructure buildout where demand outstrips supply.
2308.TW LONG
AEIS LONG
Corning benefits from AI fiber demand.
Corning is the dominant fiber supplier for data centers, with a very high share and a product that is thinner, more bendable, and custom-manufactured. AI needs massive fiber (e.g., one Microsoft data center uses enough to circle Earth 4.5x). Future scale-up connections (copper to fiber) will 2-3x Corning's opportunity. Its fiber business is the fastest-growing, highest-margin part of the company.
GLW LONG
Large-cap tech has structural alpha opportunity.
The Whale Rock Mega Cap Tech Fund is a new product targeting the structural underweight of the largest tech companies by institutional investors. There is alpha in large caps because it takes many diversified PMs to change their view. The largest tech companies have strong moats, global reach, and massive profit pools, and they are often part of the biggest S-curves (Nvidia, TSMC, ASML, etc.).
Whale Rock Mega Cap Tech Fund LONG
Amazon AWS had underappreciated earnings power.
Amazon was bought for AWS at a time when it was effectively free – the market was valuing it as a retail company while AWS had massive underappreciated earnings power as a cloud platform with a 7-year lead, scale advantages, and a huge TAM. The S-curve for cloud was just getting started.
AMZN LONG
Celestica is critical AI infrastructure with advantages.
Celestica has transformed from a commoditized contract manufacturer to a critical AI infrastructure supplier – sole supplier of Google TPU servers, dominant in liquid cooling, and has 50-60% share of cloud Ethernet switch market. AI servers are 40x more expensive than old servers and require constant innovation, making Celestica a high-growth, high-margin business with rising competitive advantages.
CLS LONG
Tesla bought at 5x earnings in 2019.
Tesla was bought in 2019 at 5x earnings because the electric vehicle S-curve was just inflecting – barriers to adoption (price, range, supply chain) had been removed, leading to exponential unit growth. The underappreciated earnings power at that point was enormous.
TSLA LONG
Apple at 4x earnings during smartphone inflection.
Apple was bought at 4x earnings because the smartphone S-curve was inflecting – Jobs brought iPhone to $200, AT&T had 3G, touchscreen made it easy. Exponential unit growth and a powerful ecosystem (app store, switching costs) led to enormous earnings growth that the market didn't anticipate.
AAPL LONG
Short application software incumbents.
We sold almost all application software and were net short entering 2025. The thesis is that AI is disrupting the old software model: AI products from incumbents are not good, CIO budgets are shifting to AI tokens, pricing power is eroding, seats are decreasing, and new AI-native startups could wipe out incumbents. The valuations are high and the AI exposure of most software companies is tiny (1-2% of sales).
IGV SHORT
HIGH
12:30
Jun 03
Jun 03
ILTB Podcast
2mo
UBER
▾
HIGH
Uber wins as AV demand aggregator
Uber is a supply-led marketplace: securing supply of drivers, merchants, and AV fleets drives demand. The company is partnering with all major AV providers to become the go-to-market demand aggregator, and AVs on its network are 30% more utilized. With $10B+ free cash flow, 50M Uber One members (growing 50% YoY), and capital allocation that prioritizes organic investment (AV, algorithms, engineering) over buybacks, Uber is positioned to capture the trillion-dollar AV opportunity and expand into travel/hotels.
UBER LONG
HIGH
16:17
May 28
May 28
ILTB Podcast
2mo
SMH 1ST
Twitter debt
XAI debt
NVDA 1ST
DHR 1ST
▾
HIGH
AI semiconductor supply chain is most attractive.
The entire AI semiconductor supply chain, including semiconductors, semi-cap equipment, memory, and hyperscalers, is the most attractive sector today. Fundamentals are super strong, capex is being reinvested with high returns, and the multi-year build-out is just beginning. This is where the bulk of Third Point's capital is invested.
SMH LONG
Twitter debt offered 12% yield.
Twitter debt was purchased at 96-97 cents on the dollar yielding approximately 12%. Third Point was comfortable with the underlying business value and fundamentals, making it their largest credit position at the time. The risk/reward was attractive given the embedded equity value and franchise strength.
Twitter debt LONG
XAI debt was a compelling credit.
XAI's debt financing was an attractive opportunity because despite minimal cash flows and $2 billion in revenues against a $20 billion enterprise value, Third Point's cross-disciplinary knowledge (credit plus private investing) gave them confidence the business was real. The debt was a fulcrum security with good risk/reward.
XAI debt LONG
Nvidia is a buy at current multiples.
Nvidia remains attractive because it trades at 15x 2027 or 12x 2028 earnings for the most dominant, fast-growing company at its size. Valuations are not bubbly like the dot-com era; cash flows are enormous and capex is being funded off balance sheets. There is still a catch-up trade available as AI adoption is just scratching the surface.
NVDA LONG
Re-entered Danaher on recent selloff.
Danaher is a high-quality business with a superb operating system (DBS) that drives continuous improvement. Third Point sold during COVID-related distortions but recently re-entered on the pullback, albeit in a small way. The company's ability to shift from general industrials to healthcare and its culture of accountability make it a long-term quality compounder.
DHR LONG
HIGH
12:00
May 20
May 20
ILTB Podcast
3mo
NVDA
ALAB 1ST
TSM
DRAM 1ST
CIBR 1ST
▾
HIGH
Nvidia is cheap relative to market
Nvidia's valuation is very cheap on both absolute and relative basis compared to the market over the last decade, despite being the key beneficiary of the most extraordinary AI demand in history; the company's fundamentals are strong and it is likely to compound for a long time.
NVDA LONG
Astera is miscategorized, undervalued switch company
Astera Labs is miscategorized as a copper loser when it is actually a switch company that benefits from both copper and optics connectivity; the stock has many bears but is well-positioned in the AI infrastructure buildout with a long-term track record.
ALAB LONG
Watch TSMC capacity for bubble indicator
TSMC's capacity expansion pace is the single most important indicator to watch for a potential AI bubble; their discipline prevents overbuild and supports the sustainability of the AI buildout.
TSM WATCH
DRAM companies are deeply undervalued
DRAM companies trade at mid-single-digit earnings multiples while semicap equipment trades at 40x, an unsustainable gap; DRAM demand is structurally boosted by AI, especially HBM, which will improve memory business models, and the shortage dynamics should drive earnings and multiple expansion.
DRAM LONG
Overinvest in cybersecurity for AI threats
As AI enables more sophisticated impersonation and cyber attacks, investors should over-weight cybersecurity to protect against these threats; the speaker is actively overinvesting in the space.
CIBR LONG
HIGH
12:01
May 13
May 13
12:01
Apr 28
Apr 28
ILTB Podcast
3mo
BTC 1ST
USD/JPY
SPY 1ST
XLK 1ST
▾
HIGH
Bitcoin best inflation hedge due to scarcity
Bitcoin is the best inflation hedge because it has a finite supply and is decentralized, making it more scarce than gold. However, risks exist from cyber warfare and quantum computing, which could disrupt electronic assets.
BTC LONG
Yen undervalued, poised to rally sharply
The yen is grossly undervalued relative to the dollar, and Japan has a massive net international investment position (mostly unhedged U.S. assets). The new prime minister, who resembles reformist leaders like Reagan or Thatcher, is likely to catalyze a sharp yen appreciation, similar to 10% rallies seen in other currencies after such elections.
USD/JPY SHORT
S&P 500 overvalued, likely negative returns
The S&P 500 at its current PE of 22 has historically produced negative 10-year returns. The U.S. stock market is extremely overvalued, overequitized, and highly leveraged relative to GDP (252%). A mean reversion could lead to a 30-35% decline, causing severe reverse wealth effects and budget deficits.
SPY AVOID
Tech stocks to underperform due to IPO supply
Tech stocks will continue to underperform because an upcoming wave of IPOs (5-6% of market cap) will add equity supply, and the funding for these IPOs will come from selling existing tech stocks. Meanwhile, buybacks are diminishing as hyperscalers allocate cash to capex, reversing the previous net-supply reduction.
XLK AVOID
HIGH
12:00
Apr 23
Apr 23
ILTB Podcast
4mo
AMAT
MKSI
LRCX
ASML
DRAM 1ST
▾
HIGH
Semiconductor equipment will boom.
TSMC's capex will reach $100 billion by 2028, which will create massive downstream demand for semiconductor equipment makers like Lam Research, Applied Materials, ASML, and MKSI, causing shortages and margin expansion up the supply chain.
AMAT NEUTRAL
MKSI NEUTRAL
LRCX NEUTRAL
ASML NEUTRAL
DRAM prices will double or triple.
DRAM prices are going to double or triple from current levels because memory capacity can only grow at low double-digit percentages per year, and AI demand is so strong that incremental supply won't arrive until 2027 or 2028, forcing demand destruction via higher pricing.
DRAM LONG
HIGH
12:00
Apr 21
Apr 21
ILTB Podcast
4mo
Capstan 1ST
Laya Sciences
GH 1ST
BIIB 1ST
Anaba 1ST
▾
HIGH
Capstan's CAR-T therapy is highly effective.
Next-generation CAR-T therapies, such as those from Capstan, can be administered via IV without needing to extract cells, and they show dramatic efficacy in reducing tumors by 100% in a high percentage of patients for long periods.
Capstan LONG
AI drug discovery companies speed up development.
AI is accelerating drug discovery by enabling more comprehensive hypothesis generation and robotic experimentation. Companies like Laya Sciences and Anaba can go from model to molecule in a month instead of years, and those with novel data generation capabilities will build a moat.
Laya Sciences LONG
Anaba LONG
Cancer screening companies are growing rapidly.
Companies like Exact Sciences and Guardant Health are advancing colorectal cancer screening with stool-based and blood tests, respectively, making screening more convenient and increasing adoption. Blood tests are inflecting and multi-cancer early detection tests are emerging, which could lead to earlier cancer detection and better outcomes.
GH LONG
EXAS LONG
Alzheimer's drugs from Biogen and Lilly are promising.
Anti-amyloid medicines from Biogen and Eli Lilly can break up plaques in the brain and, if given early, could dramatically slow cognitive decline. Data expected later in 2025 may show that early intervention could reduce decline by 40-50% or more.
BIIB LONG
PCSK9 inhibitors are a free lunch for heart health.
PCSK9 inhibitors are a nearly free lunch for cardiovascular protection, lowering LDL cholesterol by 50% and reducing heart attack and stroke risk by over 20%. They have the potential to be bigger than GLP-1s in terms of patients and revenue because of their favorable risk-reward profile and the silent nature of high cholesterol.
XBI LONG
GLP-1 drugs are a massive revenue opportunity.
GLP-1 medicines are showing unprecedented adoption and have the potential to be a hundred billion dollar annual revenue class, representing the first commercial proof of a shift to proactive health. They address multiple layers of the health stack, including cardiometabolic health, weight loss, and cardiovascular risk reduction, with oral formulations and lower prices driving further adoption.
NVO LONG
LLY LONG
HIGH
12:01
Apr 14
Apr 14
ILTB Podcast
4mo
URANIUM 1ST
URA
▾
HIGH
US uranium enrichment is a critical, urgent bottleneck.
The United States has zero domestic commercial uranium enrichment capacity, creating a critical bottleneck for nuclear energy and advanced reactors. There are three 'nuclear fuel cliffs': a near-term shortage of HALEU for advanced reactors, a 2028 ban on Russian uranium imports that will cut off 25% of supply, and a longer-term risk to the Navy's stockpile. Solving the enrichment bottleneck is urgent for energy security, AI data center power needs, and economic prosperity, as enrichment is the highest-cost segment of the fuel chain for advanced reactors.
URANIUM LONG
URA LONG
HIGH
12:00
Apr 08
Apr 08
ILTB Podcast
4mo
BIZD 1ST
XLF
▾
The speaker states that "perpetual private BDCs" and similar narrow-strategy vehicles raised in the wealth channel represent an "irresponsible" model. They mismatch illiquid assets with semi-liquid liabilities (quarterly redemptions), a structure he calls inherently problematic ("There's no semi-liquid... There's liquid and then there's illiquid"). This structural mismatch forces "inflow investing"—deploying capital as fast as it's raised—which deteriorates underwriting standards. In stress, redemptions can exceed limits (e.g., 5%), leading to forced asset sales or gates, destroying value. AVOID because this model is flawed at its core. It prioritizes capital gathering and deployment speed over prudent, liability-matched investing, creating significant risk for investors during market dislocations. A strong economic backdrop has so far contained the issue. A deep recession would multiply redemption requests and fully expose the model's fragility.
BIZD AVOID
Medium-term
The speaker describes System 3 (post-GFC) as having the "potential to be the best system American finance has ever had," with commercial banks as a safe, regulated pillar and private capital providing matched-liability risk capital. The current stress from the "Factory Model" and wealth channel mismatches represents a necessary recalibration. If the industry corrects towards responsible practices (wide apertures, matched liabilities), it could achieve this optimal structure, fostering robust economic growth. WATCH for this recalibration. The current dislocation is a test of the system's design. A successful navigation would be structurally bullish for the efficiency and stability of the US financial system. The system fails to recalibrate; misaligned incentives persist, leading to repeated booms and busts in private markets and potentially requiring heavy-handed, potentially growth-inhibiting regulation.
XLF WATCH
Long-term
12:00
Mar 24
Mar 24
ILTB Podcast
5mo
TOST 1ST
XLK 1ST
▾
Stated Lead Edge sold Toast shares in secondary markets at $40-50 per share, and the stock price at the time of recording was ~$30. The firm constantly underwrites forward IRR. They deemed the secondary market price at the time "lunacy" and unattractive for future returns, leading them to sell a significant position. The view at those price levels was clearly bearish, justifying an AVOID direction as the valuation was disconnected from their forward return expectations. Being wrong on the company's ability to grow into the high valuation, missing further upside.
TOST AVOID
medium-term
Explicitly stated, "I think the best risk-adjusted returns right now are in public software names," adding that "people hate software" currently. Applies a contrarian, Buffett-esque principle ("buy when everybody is fearful") to the software sector, which is currently out of favor, implying depressed prices create opportunity. This is a clear, bullish call on the asset class of publicly traded software companies, hence LONG. A prolonged sector downturn or fundamental degradation in software business models that justifies the low sentiment.
XLK LONG
medium-term to long-term
12:01
Mar 17
Mar 17
ILTB Podcast
5mo
XLF 1ST
USD 1ST
▾
Hockey states that large banks have high headcount and technology costs, and AI can improve efficiency and fraud detection. AI adoption will reduce operational costs and enhance user experience by automating processes, leading to increased profitability for banks that implement it effectively. Banks are positioned to be large beneficiaries of AI due to their cost structures and distribution, making the finance sector attractive. Banks may fail to adopt AI successfully, or regulatory hurdles could limit benefits.
XLF LONG
long-term
Hockey explains that 75% of global trade is denominated in US dollars, and the dollar is fundamental for US national security through sanctions. The dollar's dominance allows the US to exert economic influence without military action, and its role in global finance is deeply entrenched. The US dollar is crucial for maintaining US economic power and global stability, supporting a bullish outlook. Potential erosion from shifting trade patterns or adoption of alternative currencies.
USD LONG
long-term
12:00
Mar 10
Mar 10
ILTB Podcast
5mo
GD 1ST
LMT 1ST
NOC 1ST
NVDA 1ST
EADSY 1ST
▾
"The worst incentive is cost plus contracting. Your upside is capitated. You're not supposed to take any risk. The government basically pays for your R&D... that system is anti-heresy." The legacy defense primes have optimized their businesses for bureaucratic compliance and financial engineering (buybacks/dividends) rather than rapid technological innovation. As the Pentagon shifts toward agile, fixed-price contracts and software-defined warfare, these legacy hardware giants will lose market share to aggressive, tech-native defense startups (like Anduril and SpaceX). AVOID. Legacy defense primes face structural headwinds as the US military procurement system is forced to modernize and reward actual innovation over bureaucratic process. The Pentagon bureaucracy is notoriously slow to change; legacy primes have massive lobbying power and entrenched political moats that could protect their revenues longer than expected.
GD AVOID
LMT AVOID
NOC AVOID
medium-term
"We think that the value is going to accrue at the chips layer and at the ontology layer." While the software layer of AI models faces a race to the bottom in pricing, the physical compute required to train and run these models remains a scarce, highly valuable bottleneck. The companies designing the silicon are capturing the foundational economic rent of the AI boom. LONG. Semiconductor designers are the structural winners of the AI arms race, insulated from the pricing wars happening among foundational model providers. Geopolitical tensions over Taiwan (TSMC); cyclical overbuilding of data centers leading to an eventual digestion period for GPU demand.
NVDA LONG
AMD LONG
medium-term
"Airbus was in the midst of ramping the A350... we just helped them automate all of that and the ontology at that point was really related to parts, sequencing of work, defect rates... Now you have the greatest data asset possible for this tail." By deeply integrating Palantir's software into its final assembly lines, Airbus has created a structural data advantage over its competitors. This allows them to identify design defects faster, optimize production planning, and maximize in-service uptime, directly translating to better margins and faster delivery ramps. LONG. Airbus possesses a superior, software-optimized manufacturing process compared to its primary rival (Boeing), allowing it to capture outsized market share in the commercial aerospace duopoly. Global supply chain bottlenecks (engines, titanium); macroeconomic slowdowns reducing airline capital expenditures.
EADSY LONG
medium-term
"We think that the value is going to accrue at the chips layer and at the ontology layer... the model companies have to run up the stack away from just providing a pure model because the model is commoditized." Foundational AI models (like GPT-4 or Claude) are becoming interchangeable commodities. Enterprise value will not be captured by the models themselves, but by the software infrastructure that connects these models to proprietary corporate data and real-world business decisions. Palantir owns this "ontology" layer. LONG. Palantir is uniquely positioned to be the primary software beneficiary of enterprise AI adoption because it provides the critical, non-commoditized infrastructure that makes AI actionable for large organizations. High valuation multiples; enterprise sales cycles remain complex despite technological acceleration; potential for big tech (Microsoft/AWS) to build competing ontology frameworks.
PLTR LONG
long-term
"We've been staring at this rare earths problem for the better part of 15 years and we more or less have solved it for like two billion bucks. It's roughly a rounding error relative to everything that we're doing and now we're on a trajectory to do it." The US government has recognized that reliance on China for critical materials is a national security emergency. They are actively subsidizing and securing domestic supply chains. US-based rare earth miners and processors will be the direct beneficiaries of this government-backed reshoring mandate. LONG. Domestic rare earth producers have a guaranteed, strategically motivated buyer (the US government/DIB) willing to subsidize operations to break China's monopoly. Commodity price volatility; China could flood the market with cheap rare earths to bankrupt Western competitors before they reach scale.
MP LONG
long-term
13:01
Mar 04
Mar 04
ILTB Podcast
5mo
NIO 1ST
SMR 1ST
OKLO 1ST
CEG 1ST
VST 1ST
▾
Arnold visited a NIO factory in China. He was struck by the speed (groundbreaking to production in 17 months) and the level of robotics/automation, which he claims US plants (avg age 40 years) cannot replicate. China has created an "agglomeration effect" where suppliers are within 200 miles, allowing for rapid iteration and lower costs. Western skepticism ignores the reality that Chinese manufacturing quality has leapfrogged legacy auto. LONG. Betting on the manufacturer with the superior cost structure and production velocity. Geopolitical tariffs (US/EU blocking access), "anti-evolution" policies where the state props up losing competitors, diluting the winners.
NIO LONG
medium-term
Arnold states that advanced nuclear (SMRs) and fusion are "promising but very, very difficult." He predicts a "falling out in the industry" because there are too many SMR companies and the economics are unproven. He estimates commercial scale is 10-15 years away. Publicly traded SMR companies are currently priced on near-term deployment optimism. If the timeline is actually a decade out, these pre-revenue companies will face massive dilution or bankruptcy before reaching commercial viability. AVOID. The capital intensity and regulatory timelines do not match current valuations. A sudden breakthrough in regulatory approval or massive government subsidies that backstop these specific companies.
SMR AVOID
OKLO AVOID
medium-term
Arnold notes a "mad scramble" to build data centers. He states the buyers (Big Tech) are the "largest, most profitable companies that have ever existed," are growing free cash flow, and are less concerned about price than they are about speed and reliability. Renewables (solar/wind) are intermittent and transmission is slow to build. To meet immediate, 24/7 AI power demand, tech giants must sign deals with Independent Power Producers (IPPs) that have existing dispatchable generation (nuclear/gas) and grid interconnection rights. LONG. These IPPs hold the scarce asset (reliable electrons) in a seller's market. Regulatory intervention on power prices or a sudden deceleration in AI capex.
CEG LONG
VST LONG
NRG LONG
medium-term
Arnold identifies transmission as a massive bottleneck. He explicitly states that while solar panels are cheap, the "inflationary aspects" (land, labor, interconnection) are rising. He notes that private capital largely gave up on new transmission lines because permitting takes 10+ years. If building *new* long-haul lines is politically impossible (NIMBYism), utilities must upgrade existing infrastructure to handle higher loads. This benefits Engineering & Construction (E&C) firms and electrical component manufacturers who supply the grid modernization hardware. LONG. These companies are the "pick and shovel" plays for the electrification bottleneck. persistent high interest rates slowing down utility capex; failure of federal permitting reform.
HUBB LONG
PWR LONG
ETN LONG
long-term
Arnold calls advanced geothermal "one of the most interesting components of the system today." It provides baseload power (unlike solar/wind) and utilizes the US's massive advantage in skilled oil & gas labor (drilling/subsurface expertise). While solar faces cannibalization (value drops as more supply hits the grid at noon), geothermal provides 24/7 power which data centers need. Ormat is the only scaled, pure-play geothermal operator positioned to benefit from this shift toward clean baseload. LONG. Geothermal is the solution to the intermittency problem that doesn't require waiting 15 years for nuclear. Execution risk in scaling new geothermal technologies (enhanced geothermal systems); high interest rates hurting project finance.
ORA LONG
long-term
04:40
Feb 10
Feb 10
ILTB Podcast
6mo
KHC 1ST
SKX 1ST
CAG 1ST
GIS 1ST
COST 1ST
▾
Behring admits the Kraft Heinz (KHC) merger struggled because they "underwrote the quality of the business" poorly. He explicitly states that commoditized packaged goods are losing share to private labels (specifically naming Costco's Kirkland). If a brand does not own the customer relationship, the retailer (Walmart/Costco) holds the power and will substitute with private label. This structural headwind applies to all legacy CPG companies with commoditized portfolios (General Mills, Conagra, etc.). Avoid legacy CPG. The "moat" of shelf space has eroded. 3G's pivot to SKX and QSR confirms they are fleeing this sector. A defensive rotation into consumer staples during a recession could temporarily boost these stocks.
KHC AVOID
CAG AVOID
GIS AVOID
long-term
3G Capital recently invested in Skechers. Schwartz notes SKX is the 3rd largest sneaker company globally (behind Nike/Adidas), growing mid-to-high single digits, with $9B in sales vs Adidas' $14B. Unlike competitors reliant on "hero skews" (e.g., Jordans or Yeezys), SKX has a diversified product mix and high customer loyalty. Crucially, SKX owns its distribution (5,000+ stores/DTC), insulating it from the "retailer disintermediation" risk that plagued 3G's CPG investments. 3G's entry signals a conviction in SKX's undervaluation relative to its growth and a potential for operational improvements to close the gap with Adidas. Consumer spending slowdown; failure to maintain growth without a "hype" product.
SKX LONG
medium-term
Schwartz highlights the "share gain of private label" and explicitly praises Costco's "Kirkland" as a fantastic brand that disintermediates suppliers. This is the inverse of the KHC thesis. Retailers that own the customer relationship have immense pricing power and margin expansion opportunity by replacing branded goods with proprietary private labels. Long the disintermediators. As inflation presses consumers, the shift to private label (Kirkland/Great Value) accelerates, benefiting the retailers at the expense of the suppliers. Valuation concerns (COST is historically expensive); regulatory scrutiny on retailer pricing power.
COST LONG
WMT LONG
medium-term
3G remains the largest shareholder in Restaurant Brands International (Burger King, Tim Hortons, Popeyes). They highlight the franchise model's superiority: capital-light, royalty-based, and inflation-protected. The speakers emphasize that QSR brands "own the customer," unlike CPG brands sitting on a Walmart shelf. They cite massive international whitespace (e.g., taking Burger King France from 0 to €2B sales) and the hiring of Patrick Doyle (ex-Domino's) to drive tech modernization. A long-term compounder. The franchise model creates a moat against inflation (royalties on top-line revenue), and international expansion provides a long runway. Health trends shifting away from fast food; franchisee profitability struggles.
QSR LONG
long-term
13:00
Feb 03
Feb 03
ILTB Podcast
6mo
CCJ 1ST
TSLA 1ST
CRM
SAP
OKLO 1ST
▾
Horowitz argues that policy solutions to climate change (emissions targets) have failed, but "if you build a really safe nuclear efficient or nuclear fusion facility... that would have a big effect." a16z's thesis is "American Dynamism"—solving physical problems with hard tech. As AI power demands skyrocket (see previous thesis), the only carbon-free baseload power that scales is nuclear. This benefits uranium miners (CCJ) and next-gen SMR companies (OKLO, which is backed by Sam Altman and fits the Silicon Valley nuclear thesis). LONG. AI is the demand shock; Nuclear is the only supply answer. Regulatory hurdles (NRC) and long construction timelines.
CCJ LONG
OKLO LONG
Long-term
Horowitz describes his work with the Las Vegas Police Department as a proof-of-concept for "American Dynamism." He explicitly mentions deploying "drone programs," "AI cameras," and "Cyber Trucks" (Tesla) to replace dangerous human interactions with technology. He notes crime dropped 50% and shootings dropped 75%. This is a direct endorsement of the "Tech-Enabled Policing" thesis. As municipalities see these stats (efficiency up, liability down), they will buy hardware and software to replicate Vegas. AXON dominates police cameras/drones; PLTR dominates law enforcement data analytics; TSLA provides the specific vehicle cited. LONG. This is a secular shift in municipal spending from labor (officers) to capital (tech). Municipal budget constraints or political backlash against "surveillance states."
TSLA LONG
PLTR LONG
AXON LONG
Medium-term
When asked if AI kills SaaS, Horowitz says, "People are overreacting... it is not that easy to take out Salesforce or SAP... you would be surprised how much heavy lifting that is." The market narrative is that AI agents will replace seat-based SaaS software immediately. Horowitz (a tech optimist) is taking the contrarian view that incumbent moats are stickier than the market thinks due to integration complexity. WATCH/NEUTRAL. While not a screaming buy, this suggests the "Death of SaaS" trade is overcrowded and premature. Long-term, he admits AI allows companies to "build their own" software easier, which is terminal for these firms on a 10-year horizon.
CRM WATCH
SAP WATCH
Short-term
Horowitz highlights Coinbase as one of the firm's major successes and discusses how crypto allowed people with little capital to gain wealth (democratization of finance). He speaks fondly of the sector's resilience. a16z remains the largest institutional backer of crypto. Horowitz's commentary suggests continued political and capital support for the ecosystem. Coinbase is the primary regulated proxy for US institutional crypto adoption. LONG. Regulatory hostility (though Horowitz notes the environment is improving).
COIN LONG
Medium-term
Horowitz states that the "laws of physics" for company building have changed: "If you have the data and you have enough GPUs, you can solve damn near anything." He also praises Jensen Huang (Nvidia CEO) as a "timeless" leader who never had to change his company's identity to stay relevant. Horowitz confirms that capital is now directly fungible for intelligence via compute. This implies that demand for GPUs is not just for training, but is becoming the primary input for *all* problem-solving in the economy. The "money + GPUs" formula guarantees sustained CapEx from hyperscalers and startups. LONG. The most influential VC in the valley is telling founders that GPUs are the new labor force. Export controls (Horowitz mentions the Biden admin almost banned GPU sales without approval) or energy bottlenecks.
NVDA LONG
Long-term
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