Increase exposure to Ethereum (ETH), which is positioned to outperform Bitcoin (BTC) over the next 12 months as institutional adoption and real-world asset tokenization accelerate.

Build a diversified basket of leading Layer-1 Smart Contract Blockchains, focusing on ETH and Solana (SOL) to capture long-term network growth similar to major cloud computing providers.

Maintain Bitcoin (BTC) as your core foundation for digital scarcity and wealth preservation, prioritizing it over traditional physical commodities like Gold (XAU) that face potential supply expansion from automated mining.

In equities, invest in platform leaders like Amazon (AMZN) that leverage AI and Robotics for structural profit margin expansion, while utilizing Robinhood (HOOD) to capture the shift toward 24/7 retail asset trading.

Gain exposure to the Global Banking Sector to benefit from steepening yield curves and the massive corporate lending required to finance global AI infrastructure.

Bitcoin (BTC)

• Bitcoin is viewed by both speakers as the premier long-term store of value and the only asset with genuine, non-hackable digital scarcity in an era of AI-driven abundance.
  • Jordi Visser projects the broader digital asset ecosystem will eventually reach a market cap of at least $100 trillion, with BTC maintaining at least 33% dominance.
  • Neither speaker has ever sold digital assets for fiat currency, choosing instead to hold and compound capital.
  • A simplified core portfolio split evenly across BTC, the NASDAQ, and the S&P 500 has significantly outperformed most complex trading strategies since Bitcoin's inception.

Takeaways

• Treat BTC as a core, long-term foundation for wealth preservation and digital scarcity rather than trading short-term volatility.

Ethereum (ETH)

• Jordi Visser projects that ETH could outperform BTC over the next 12 months.
  • Outperformance is expected to be driven by the acceleration of real-world asset (RWA) tokenization, high stablecoin velocity, and growing transaction volumes.
  • Institutional banks and financial institutions are likely to favor Ethereum for tokenized finance due to its established history, security, and proven trust profile.
  • Ethereum functions as an essential digital commodity and settlement layer for the blockchain economy.

Takeaways

• Consider increasing exposure to ETH to capture upside from institutional tokenization of assets, stablecoins, and decentralized financial infrastructure.

Layer-1 Smart Contract Blockchains (ETH, SOL)

• Raoul Pal recommends holding a diversified basket of three to five dominant smart contract blockchains rather than trying to pick a single winner.
  • The Layer-1 ecosystem is drawing parallels to major cloud infrastructure providers (like AWS, Azure, and Google Cloud), where a handful of platforms capture the majority of market share.
  • Alongside ETH, Solana (SOL) is highlighted as a clear leader in transaction throughput and ecosystem growth.

Takeaways

• Build a market-cap-weighted basket of top Layer-1 protocols (such as ETH and SOL) to gain diversified exposure to blockchain infrastructure growth.

Zcash (ZEC)

• Raoul Pal maintains a dedicated allocation to ZEC as a targeted play on the privacy narrative within the crypto sector.
  • Privacy-preserving protocols provide an alternative, uncorrelated utility within a digital asset portfolio.

Takeaways

• A small allocation to ZEC can serve as an asymmetric hedge and exposure to digital privacy trends.

NVIDIA Corporation (NVDA)

• NVIDIA serves as an example of shifting market dynamics, where blowout financial performance no longer guarantees immediate stock price appreciation.
  • The company projected 70% revenue growth against market expectations of 44%, yet the stock traded sideways for long stretches.
  • NVDA achieved almost all of its multi-year outperformance against the S&P 500 in a single four-month corridor, remaining flat for the subsequent 20 months.
  • Generating alpha by simply trading earnings beats is becoming less reliable, shifting long-term value capture toward platform operators and fee collectors.

Takeaways

• Avoid chasing high-multiple tech stocks solely on quarterly earnings beats; recognize that mega-cap gains can be concentrated in very brief windows.

Amazon.com, Inc. (AMZN)

• Amazon is highlighted as the real-world blueprint for the modern AI and automation economy.
  • Over the past eight years, Amazon transformed into an extreme productivity engine, expanding operating margins and revenues through AI and robotics without proportional headcount growth.
  • This model demonstrates how enterprise integration of AI can lead to structural margin expansion across the broader corporate landscape.

Takeaways

• Look for mature companies with deep infrastructure that can leverage AI and robotics to structurally widen profit margins without expanding labor costs.

Robinhood Markets, Inc. (HOOD)

• Robinhood is positioned as a key bridge between traditional retail finance and the growing tokenization economy.
  • The platform benefits from strong retail community engagement and expanding trading volume across digital assets.
  • Platforms enabling around-the-clock trading are poised to capture fee revenue as global market participants increasingly demand 24/7 liquidity.

Takeaways

• Monitor HOOD as a prime beneficiary of the convergence between retail brokerage, 24/7 trading, and on-chain tokenization.

Global Banking Sector

• Bank stocks globally are up roughly 30% year-over-year, reflecting underlying strength rather than credit distress.
  • A steeper yield curve improves bank net interest margins and encourages commercial lending.
  • Healthy banking systems are essential for financing the multi-trillion-dollar capital expenditure required for global AI data centers and energy infrastructure.

Takeaways

• Bank equities can offer exposure to global economic resilience and the extensive capital requirements of the AI buildout.

US Treasuries & Global Bonds

• Market panic regarding elevated long-term sovereign bond yields (e.g., 10-year and 30-year yields) is viewed as exaggerated.
  • US 10-year yields near 4.75% remain well below nominal US GDP growth of roughly 6%, demonstrating ongoing financial repression.
  • Macroeconomic factors, including productivity gains from technology, rising fiscal spending, and potential US dollar softening, are expected to keep yields contained within historical ranges.
  • Technical indicators (such as DeMark signals) point to long-term yields nearing peak fear and inflection zones.

Takeaways

• Avoid overly pessimistic positioning based on bond yield panic, and look for steepening yield curves to support financial assets and corporate lending.

Physical Commodities & Gold (XAU)

• Humanoid robotics and AI automation are expected to be deployed in heavy industrial sectors such as mining and energy extraction over the next five years.
  • Increased extraction efficiency and lower input labor costs will likely expand the supply of physical commodities, including copper, oil, and gold (XAU).
  • While physical commodities remain valuable, their long-term upside may be capped relative to mathematically fixed, digitally scarce assets like Bitcoin.

Takeaways

• Recognize that technological automation may expand physical commodity supplies over time, making fixed-supply digital assets a stronger vehicle for absolute scarcity.