Raoul Pal explicitly said that banks will provide liquidity for AI investments, with regulatory changes like ESLR allowing the banking system to lever up and "go back to the banks." Similar to the late '90s Greenspan era, banks will drive lending and capital formation, supporting economic growth and asset prices as they take on a central role in funding AI-driven expansion. Positive for the finance sector as banks regain their role in providing leverage and liquidity, potentially boosting profitability. Economic downturn or policy reversals that constrain bank lending, or failure of AI investments to materialize.
Raoul Pal stated that crypto's total addressable market is wildly underestimated because AI agents will use crypto rails for microtransactions, calling it "the strongest narrative we will ever have." AI agents will require efficient, scalable payment and transaction systems, with crypto providing the necessary infrastructure, leading to massive adoption and value accrual. Bullish on crypto as an asset class due to exponential growth in use cases driven by AI agent adoption. AI agents might not adopt crypto as expected, or regulatory barriers could impede growth.