• Bitcoin (BTC) is Hayes’s clearest, highest-conviction holding; consider it as his preferred scarce-asset exposure, while monitoring money supply and bank lending as indicators of the liquidity thesis.
• For higher-risk crypto research, screen established DeFi protocols such as Hyperliquid, Pendle, and NEAR for real usage, revenue, and token-holder returns; check token unlocks and smart-contract risks before investing.
• Treat Zcash (ZEC) as a speculative privacy-theme idea, not a specific buy call; Hayes gave no price target or entry point.

Bitcoin (BTC)

• Hayes said Bitcoin is by far his fund’s largest position; profits from other assets are ultimately used to buy more Bitcoin.
• He sees Bitcoin and other scarce assets as beneficiaries of accommodative monetary conditions and growth in the amount of money and credit in the system.
• He argued that rising interest rates do not necessarily mean tighter conditions: in his view, rate increases can also increase income for banks and holders of Treasury bills, which may flow into financial assets.
• He did not give a Bitcoin price target. The $125,000 figure came up as a question about what might move Bitcoin there, not as a forecast.

Takeaways

• Hayes’s clearest stated portfolio preference is Bitcoin, while treating other crypto positions as ways to generate returns that can be redeployed into BTC.
• His bullish macro case depends on financial liquidity continuing to grow; he emphasized monitoring the quantity of money and bank lending, not just interest rates.
• Quantum computing was discussed as a possible long-term security concern, not a reason he was selling. Hayes recommended good address hygiene, such as avoiding address reuse and using up-to-date wallet practices.

Ethereum (ETH)

• Hayes said his fund has a large ETH position, but stressed that its Bitcoin holdings are much larger.
• ETH came up in a discussion of crypto assets that might serve as stores of value, but Hayes did not offer a separate ETH thesis or price target.
• The hosts described Ethereum and many altcoins as disappointing in the prior market cycle; Hayes’s broader preference was for established projects with users, revenue, and token-holder returns.

Takeaways

• The transcript supports a more cautious interpretation than a standalone bullish call on ETH: Hayes holds a meaningful position, but Bitcoin is the fund’s dominant asset.
• Investors considering ETH should distinguish Hayes’s disclosed holding from the stronger, more explicit conviction he expressed in BTC.

Zcash (ZEC)

• Hayes said Naval Ravikant persuaded him to take a closer look at Zcash, and that the position made money for his fund.
• He agreed that financial privacy has substance as an investment theme, describing Zcash as a possible privacy-oriented complement to Bitcoin.
• He framed privacy and convenience as a trade-off rather than suggesting that one asset is universally safer or better.

Takeaways

• Zcash is the transcript’s clearest privacy-focused crypto idea, but Hayes did not give a price target or specific recommendation to buy.
• Consider the privacy thesis alongside the practical trade-offs and risks of using different assets; the discussion did not claim that Zcash eliminates all security or custody risks.

On-chain protocols and DeFi

• Hayes favored established, well-used projects with real customers, revenue, product-market fit, and potentially buybacks or other ways of returning value to token holders.
• He described older, heavily used protocols—especially projects that have been around since DeFi Summer in 2020—as candidates for a possible re-rating as tokenized assets and AI-agent activity expand.
• He said he prefers “busted” charts, citing assets down roughly 75%–80% from a local level as the type of setup he looks for. This was a description of his screening approach, not a price target or guarantee of recovery.
• Protocols and tokens mentioned included Hyperliquid, Derive, Pendle, Lighter, and NEAR. The discussion did not provide specific valuations or entry points for them.
• Plume was raised by the host as a possible real-world-asset (RWA) investment example, not endorsed by Hayes as a specific pick.
• Hayes cautioned that many new token launches have high FDVs, low floats, presale investors, and token unlocks that can create selling pressure.

Takeaways

• The actionable screening approach Hayes described is to investigate established protocols with demonstrable usage and revenue, and to understand their token-holder economics before investing.
• Check unlock schedules and circulating supply carefully, particularly for newer tokens; Hayes said he preferred established, tradable assets over making new token investments.
• Protocol and smart-contract risk remain relevant. Hayes explicitly said outcomes depend on the asset’s price, size, and the level of protocol and smart-contract risk an investor is willing to accept.
• His preferred risk/reward profile—such as seeking a 5x return in a few months—describes his own high-risk objective, not a general investor recommendation.

Robinhood Markets (HOOD)

• Robinhood was discussed as a potential beneficiary of tokenization because it could implement the technology and expand access to financial assets.
• The host contrasted investing in a company implementing tokenization, such as Robinhood, with buying meme coins offered on its platform.
• Hayes’s broader investment filter was whether a company or token can benefit from the growth of AI agents and tokenized finance; he did not give a specific valuation or explicit buy recommendation for Robinhood.

Takeaways

• Robinhood represents an equity-based way to consider the tokenization theme, but the transcript does not establish it as Hayes’s preferred investment.
• The thesis depends on whether tokenization creates meaningful business activity and revenue, not just improved bookkeeping or a compelling narrative.

Coinbase (COIN)

• Coinbase was used as a comparison in a discussion of relative performance. Hayes said Bitcoin might outperform Coinbase, partly because Coinbase is already a large company.
• He did not provide a specific bullish or bearish forecast for Coinbase.

Takeaways

• The discussion highlights company size and valuation as factors when comparing a crypto asset with a crypto-related stock.
• No specific Coinbase recommendation, target, or timing was given.

Stablecoins and U.S. dollar assets

• The conversation treated dollar stablecoins such as Tether (USDT) and USD Coin (USDC) as tools for accessing U.S. dollar assets, particularly in countries where people want exposure to dollars.
• Hayes argued that dollar stablecoins may help extend U.S. financial influence, but questioned how much demand they would create for U.S. Treasury bills.
• He also warned that governments may resist U.S. technology companies offering financial services to their populations, limiting stablecoin adoption abroad.
• Hayes said he was not interested in non-dollar stablecoins as investments, arguing that demand is concentrated in dollar-denominated stablecoins.

Takeaways

• The stablecoin opportunity discussed is tied to dollar access, payments, and tokenized finance, but adoption depends partly on regulation and the willingness of local governments to allow foreign platforms to operate.
• The transcript does not recommend a particular stablecoin issuer or provide a valuation for the sector.

Gold

• Gold was grouped with Bitcoin and other scarce assets that may benefit from accommodative monetary policy.
• Hayes used gold to illustrate a store of value that does not need to be transacted to retain its physical form, while noting that moving large amounts of gold is less convenient than moving Bitcoin.

Takeaways

• Gold was presented as part of a broader scarce-asset framework, not as a specific trade with a price target.
• The discussion emphasized the trade-off between physical durability and ease of transfer.

U.S. Treasuries, French debt, and banking risk

• Hayes argued that U.S. government borrowing and spending are unlikely to stop simply because Treasury yields rise; he described the U.S. position as stronger than that of some other sovereign borrowers.
• He was much more negative on French government debt, questioning its appeal and warning that foreign investors could withdraw financing.
• He said stress among French banks could reduce their lending to financial markets. In his scenario, that could force the Federal Reserve to provide more support, potentially adding liquidity.
• He also observed that U.S. commercial-bank balance sheets had grown, which he interpreted as evidence of expanding credit and liquidity.
• The discussion mentioned BNP Paribas, Société Générale, and Crédit Agricole in connection with French banks’ role in repo financing. It did not give stock recommendations or targets for these companies.

Takeaways

• Hayes’s macro view is comparatively constructive on U.S. liquidity and more concerned about funding stress in France and other sovereign markets.
• French sovereign debt and French-bank exposure were discussed as risk areas, not as investments to buy.
• The potential for a liquidity response is a scenario, not a certainty; Hayes said that a larger, emergency-style response would matter more to the pace of a crypto rally than routine policy announcements.

AI agents, compute, and real-world-asset tokenization

• Hayes described a long-term thesis in which AI agents manage financial services and transact continuously through on-chain protocols.
• In his view, tokenization’s potential lies not only in digitizing existing assets, but in enabling 24/7 markets, collateral use, composability, and automated transactions.
• He argued that established protocols could benefit if large volumes of tokenized assets and agent activity move on-chain.
• Hayes also described compute as a scarce resource in an agent-driven economy and said cheaper compute could support the proliferation of agents.

Takeaways

• The theme offers a way to evaluate companies and protocols: ask whether they could gain from AI-agent activity and tokenized finance, and whether that growth can translate into actual usage and revenue.
• Hayes emphasized that a persuasive narrative alone is not enough for his investment process; he looks for a credible business story and, especially, evidence of real activity and cash flows.

FLOP

• Near the end, Hayes described FLOP as a project intended to connect its currency or transaction layer directly to compute for AI agents.
• He characterized the investment as a binary bet: if agents proliferate and the project becomes an important economic layer for them, it could have substantial value; otherwise, it could be worth zero.
• No valuation, ticker confirmation, entry price, or timeline was provided.

Takeaways

• FLOP was presented as a highly speculative, venture-like idea, not a lower-risk alternative to established crypto assets.
• The thesis depends on both widespread use of AI agents and the project successfully becoming infrastructure for their activity; either part could fail.