• Consider building a Bitcoin (BTC) position gradually for the long term, adding only during sharp sell-offs; be prepared for drawdowns of around 35% and prolonged periods below prior highs.
• Ethereum (ETH) and Solana (SOL) are the strongest network-focused opportunities in the discussion, based on their established ecosystems; monitor real adoption and use, and size positions for substantial volatility.
• Treat Sui (SUI) and especially privacy-focused Zcash (ZEC) as higher-risk, smaller positions: watch Sui’s user growth and token unlocks, and weigh ZEC’s regulatory and exchange risks before investing.

Bitcoin (BTC)

• Raoul Pal describes Bitcoin as digital gold and a potential collateral asset, arguing that its appeal may grow as governments seize or restrict access to financial assets.
• He says Bitcoin has recently tracked US narrow liquidity and has been unusually weak relative to both gold and the Nasdaq. He views that relative underperformance as an opportunity and expects crypto to outperform other assets.
• His broader outlook is bullish: he sees crypto and technology in a possible supercycle lasting until around 2030. He also says the crypto economy could reach $100 trillion by 2035—a long-term thesis, not a near-term price target.
• He cautions that Bitcoin can have 35% drawdowns, while more speculative crypto assets may fall 70% or more. He also notes that Bitcoin can spend years below a previous peak.

Takeaways

• The case presented is for a long-term, volatile asset—not a trade with a reliably predictable timeline.
• Consider liquidity needs and the possibility of severe drawdowns before deciding how much risk to take. Pal favors holding core positions and adding during unusually sharp sell-offs rather than trying to time exits and re-entries.

Ethereum (ETH)

• Pal argues that Ethereum is a core financial-infrastructure network. He cites its large role in stablecoins, DeFi, real-world assets, digital art, and layer-2 networks as evidence of the value built on it.
• He says that shutting down Ethereum would put a substantial portion of those activities at risk, and therefore believes ETH is undervalued relative to the economic activity that depends on it.
• When the host suggested that a roughly $300 billion market capitalization could imply a value at least five times higher, Pal agreed with the broad comparison. This was a valuation argument, not a specific price target.
• Pal also sees demand for smart-contract networks rising as finance and AI agents move onto blockchain rails. He says most of his ETH exposure is in digital art, making much of it illiquid.

Takeaways

• The bullish thesis depends on Ethereum retaining a leading role in on-chain finance and other applications; network use and adoption are important to monitor.
• Treat the implied valuation comparison as Pal’s view, not a guaranteed outcome. His comments also highlight the added liquidity and selection risks of holding ETH through digital art.

Solana (SOL)

• Pal says he has continued to hold Solana and has added to it during sell-offs. He praises the team’s execution, speed, low costs, and the network’s culture.
• He describes Solana as a more speculative, faster-turnover ecosystem than Ethereum, while also expecting it to expand into real-world assets and other uses.
• He views Solana as one of the few smart-contract networks that has matured into a meaningful ecosystem, and expects leading layer-1 networks to benefit if blockchain usage grows.

Takeaways

• Solana’s opportunity, as described, combines growing network use with continued speculative activity. Assess whether actual applications and users grow alongside trading activity.
• Pal emphasizes that even major crypto networks can experience steep declines; a strong long-term thesis does not remove short-term volatility.

Zcash (ZEC)

• Pal’s thesis is that some holders of store-of-value assets will want privacy. He frames Zcash as a potential privacy-focused complement to Bitcoin and says it could capture a portion of the global store-of-value market.
• He says he bought Zcash at around $200 and added during a sharp sell-off to roughly $250–$300, reasoning that the underlying thesis had not changed. He later referred to it trading around $400.
• He notes that privacy assets may face significant regulatory friction, including the possibility that governments or exchanges restrict them. He says he is uncertain how long he would want to hold Zcash through that kind of opposition.
• Some investors, he says, have discussed Zcash reaching 5%–10% of Bitcoin’s value, with some suggesting more; Pal does not offer his own firm valuation framework.

Takeaways

• The potential upside rests on demand for financial privacy, but the regulatory and exchange risks are unusually important to the thesis.
• Pal’s comments support treating Zcash as a higher-risk position than Bitcoin, rather than assuming it will follow Bitcoin’s long-term path.

Sui (SUI)

• Pal is strongly invested in the thesis that layer-1 networks will provide infrastructure for the digital economy. He says his average purchased entry was roughly $1.50–$1.70, with purchases at about $0.70 and $2.50; those holdings were underwater at the time of the interview.
• He points to Sui’s reported economic density per user—the amount of value locked relative to its user base—and says that this measure held up better than on some other networks during a downturn.
• His bullish case depends on Sui attracting users and real applications, including agent-related activity, finance, gaming, and other projects. He says that if adoption does not materialize, the team is not executing effectively.
• He also notes that much of Sui’s supply is staked and that additional tokens remain to be unlocked. He argues limited freely available supply could magnify price moves if demand grows.

Takeaways

• This is a high-conviction but unproven adoption thesis. Track active users, the value and persistence of activity, project execution, and token unlocks—not just technical claims or price action.
• Pal’s own underwater position illustrates that conviction can involve substantial interim losses; it should not be treated as evidence that the thesis will succeed.

Near (NEAR)

• Pal says he had previously found Near’s data interesting, but does not currently follow it closely or say that he is adding to the position.
• He cites Real Vision analyst Jamie Coutts’s positive assessment of Near’s growing on-chain activity, use cases, and execution.

Takeaways

• The discussion offers a cautiously positive observation, not a direct investment recommendation from Pal.
• A prospective investor would need to examine whether activity and use cases are durable and translate into lasting network value.

Avalanche (AVAX)

• Pal says Avalanche is a possible contender among layer-1 networks, but does not express the same conviction in it as in Ethereum, Solana, or Sui.
• He notes that Avalanche did not retain economic density as well as Ethereum, Solana, and Sui during the downturn he discussed.

Takeaways

• The transcript presents Avalanche as a possible but less-established contender in Pal’s view.
• Compare its adoption and retained network activity with competing layer-1s before relying on a broad “blockchain growth” thesis.

Hyperliquid (HYPE)

• Pal describes Hyperliquid as interesting because it generates cash flow, but says it is an application-focused network rather than the broad, multipurpose layer-1 thesis he is primarily pursuing.
• He clarifies that HYPE is not part of his central investment thesis.

Takeaways

• The comments point to a distinction between application businesses with measurable activity or cash flow and general-purpose network infrastructure.
• Pal’s lack of focus on HYPE is not a negative assessment of the project; it reflects his chosen investment thesis.

Polkadot (DOT)

• Pal discusses Polkadot through his investment in KR1, which had invested early in the Polkadot ecosystem. He says many of the protocols held by KR1 did not ultimately prove as valuable as expected.
• He notes that Polkadot had been viewed as a serious ecosystem several years earlier, illustrating how difficult it is to identify which networks will retain long-term relevance.

Takeaways

• An early reputation or strong technology does not ensure lasting adoption or investment returns.
• The example reinforces the importance of reviewing whether a network’s use and economic value are actually growing, rather than relying on past prominence.

Dogecoin (DOGE) and XRP (XRP)

• Pal says he likely still holds small amounts of Dogecoin and XRP, but gives no detailed thesis, valuation, or current allocation for either asset.

Takeaways

• The transcript provides too little information to infer a specific outlook or recommendation for either coin.
• Do not treat the mention of residual holdings as a sign of strong conviction.

Crypto Networks and On-Chain Finance

• Pal expects more financial activity to move onto blockchain rails, including stablecoins, tokenized equities, real-world assets, DeFi, and perpetual futures.
• He argues that blockchain infrastructure could become more valuable as AI agents need fast, low-cost ways to transact and validate activity.
• He says only Ethereum and Solana have clearly matured as broad layer-1 networks so far, while suggesting there may ultimately be about five dominant players. He sees the competition to identify the remaining leaders as a potential opportunity.
• He describes smart-contract platforms as a potentially stronger area than Bitcoin alone in the next phase, because financial applications and agent activity depend on smart contracts.
• He also notes that crypto’s relationship with liquidity has been less consistent than he expected. He attributes recent weakness partly to liquidity flowing to AI and technology stocks and to events that tightened financial conditions.

Takeaways

• A broad “crypto adoption” thesis is not enough by itself: network usage, application demand, liquidity conditions, and competition among platforms matter.
• Pal’s network-consolidation view implies that assets outside the eventual leaders could underperform or fail to retain value.

Stablecoins and Tokenization

• Pal says US policymakers have described stablecoins as important and argues that stablecoin adoption could support demand for government bonds.
• He expects tokenized equities and real-world assets to expand, with blockchain enabling markets to operate more continuously and across borders.
• He sees stablecoins and tokenized assets as part of the wider transition of finance onto blockchain infrastructure.

Takeaways

• The discussion identifies stablecoins and tokenization as structural growth themes, but it does not name a specific stablecoin issuer or provide a valuation for these opportunities.
• Adoption depends on the financial system continuing to build on blockchain rails; monitor actual usage and regulatory developments rather than assuming the transition is inevitable.

Digital Art and NFTs

• Pal says digital art can create scarcity in a digital environment, where content can otherwise be copied or produced in unlimited quantities. He views scarce digital art as a potential store of wealth for crypto holders.
• He says he is planning a digital-art fund called Epoch One, intended to buy scarce assets. He argues that art has historically benefited as wealth grows and believes on-chain ownership could strengthen that role.
• He distinguishes traditional digital art from profile-picture NFTs, saying he does not expect the earlier PFP craze to return in the same way. He sees possible historical significance in some collections, including CryptoPunks, but describes art collecting as a more selective and serious market.
• He warns that some individual art purchases will be wrong and acknowledges the risk of losing money. He also says art is illiquid; he has not sold his holdings.

Takeaways

• Digital art is a highly speculative and potentially illiquid investment, and success depends heavily on selecting assets that retain cultural and collector relevance.
• Pal’s thesis is not that all NFTs will rise again. He specifically distinguishes scarce art from the earlier broad PFP boom.

AI and Technology

• Pal is bullish on technology and AI, describing the current period as an unusually large technological shift. He expects investment in AI infrastructure to continue and sees crypto and technology as assets that may outperform currency debasement.
• He says AI could change labor markets, productivity, and economic relationships, and expects a major societal transition around 2030. His forecast is that AI may first put pressure on wage growth, with broader changes to goods and services taking longer.
• He cautions that rapid growth in AI capability does not necessarily mean profits will grow at the same rate.
• He says liquidity has recently favored AI and technology stocks over crypto, and that rising rates and a stronger dollar can weigh on crypto and liquidity-sensitive assets.

Takeaways

• The transcript supports a long-term technology theme, but Pal’s warning about the gap between technological progress and company profits is important: adoption alone does not establish an attractive stock valuation.
• Interest rates, the dollar, financing conditions, and infrastructure costs may affect returns even if AI adoption continues.

Microsoft (MSFT), Amazon (AMZN), and Meta Platforms (META)

• Pal mentions that he brought Amazon, Microsoft, and Meta together with other companies in 2020–2021 to discuss the need for digital identity standards as AI advanced.
• He uses major technology companies as examples of assets that can experience large drawdowns while continuing to compound over longer periods, but offers no specific buy or sell view on these stocks in the interview.

Takeaways

• The companies are mentioned as examples in a discussion of AI, digital identity, and long-term volatility—not as specific recommendations.
• The broader takeaway is to assess a company’s long-term business case separately from short-term price movements.

Anthropic

• Pal cites Anthropic’s rapid revenue growth as an example of how quickly AI businesses can scale.
• He does not discuss Anthropic as a publicly traded investment or give a valuation or investment recommendation.

Takeaways

• The example illustrates the speed of AI adoption, but rapid revenue growth alone does not establish a fair valuation or eventual profitability.

Live Experiences and Travel

• Pal says human experiences that AI cannot easily replace may become more valuable. He gives live concerts, sports, and travel as examples.
• He refers to Ticketmaster’s share-price performance as evidence of demand for live experiences, without giving a formal valuation or stock recommendation.
• He also mentions that travel and leisure demand can shift toward less expensive destinations as popular locations become unaffordable.

Takeaways

• The discussion identifies live experiences and travel as potential beneficiaries of a world where digital content and AI-generated services become more abundant.
• Demand, affordability, and destination choices are relevant factors; the interview does not establish a specific company-level investment case.

Energy Infrastructure

• Pal describes energy availability as a major constraint on AI expansion, particularly in the United States.
• He says large amounts of capital are likely to go toward new energy infrastructure and mentions solar, gas, and small nuclear as areas being pursued.
• He expects electricity costs to fall over time as capacity and technology improve, but says current demand has already pushed electricity prices higher in some places.

Takeaways

• Energy infrastructure is a potential investment theme arising from AI’s power needs, but the discussion does not identify specific companies or recommend a particular technology.
• The opportunity depends on whether new generation and infrastructure can keep pace with demand; Pal also notes that electricity costs may move in different directions over time.

European Carbon Allowances

• Pal says he made about 200% on an earlier trade in European carbon allowances, then re-entered with poor timing. The position was down about 40% at one point and later had recovered to a small gain.
• He says the trade is linked to the business cycle and that he had not cut it at the time of the interview.

Takeaways

• The example highlights the timing risk in cyclical commodity-related markets, even when an investor understands the broad drivers.
• Pal’s experience is a reminder that a successful past trade does not guarantee good results on a later entry.

KR1 (KR1)

• Pal describes KR1 as a UK-listed, closed-ended investment company that held positions in crypto projects, including early investments in Ethereum and the Polkadot ecosystem.
• He says KR1 traded at a large discount to its net asset value in 2021, but that many of its underlying protocol holdings did not ultimately prove as valuable as expected.
• He says he eventually reduced his position at roughly an 80% loss, describing it as a small position.

Takeaways

• A discount to stated asset value does not guarantee that an investment company is cheap if its underlying holdings lose value.
• The example underscores the added risks of crypto investment vehicles: portfolio composition, asset quality, fund structure, and the possibility of large losses.