Ryan Kim: Agentic Trading Hits Onchain Markets
Ryan Kim details agentic trading where AI agents manage $303B stablecoins and $39B RWAs on programmable rails amid $40T US debt.
SourceAnalysis
Ryan Kim argues onchain markets will serve as the native structure for autonomous capital as AI cheapens financial intelligence and tokenization makes assets programmable.
Market Scale and Drivers
Stablecoins now total roughly $303 billion, with distributed onchain RWAs excluding stablecoins near $39 billion and tokenized Treasuries at $16 billion. Public debt exceeds $40 trillion with annual net interest near $1 trillion, pushing the GENIUS Act to channel stablecoin reserves into short-term Treasuries and safe dollar assets.
Agent Execution Mechanics
An agent receives capital and a mandate, then reads markets, forms positions, moves collateral, manages risk, executes trades and settles continuously within owner rules. BlackRock’s BUIDL and Franklin Templeton’s BENJI already deliver Treasury exposure onchain, while Morpho vaults demonstrate delegated yield allocation at 5–6 percent.
Trading and settlement occur in one transaction, permissions encode directly, and markets run 24/7 without operations teams. The same structure attracts issuers seeking machine-readable data for deeper liquidity and lower capital costs.
Ryan Kim
@0xryankimCo-founder and Partner at Hashed, where he focuses on discovering and supporting founders in the Infrastructure, DeFi, Gaming, and Entertainment sectors, helping them connect with global resources.