‘AI Agents in Ethereum Are Not Priced In,’ Says Crypto VC Ryan Sean Adams
2024-12-20
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Ryan Sean Adams, a general partner at Bankless Ventures, recently highlighted a groundbreaking development in Ethereum’s ecosystem on social media platform X. 
According to Adams, an AI agent, @0xzerebro, became the first to stake 32 ETH and launch its own Ethereum validator on Dec. 12. He explained that this ETH was earned by the AI agent through the creation and sale of digital artwork, marking a significant shift in how non-human entities might interact with decentralized finance.
Adams compared the AI agent’s staking activity to purchasing a form of “internet bond,” noting that Ethereum staking currently offers a yield of 3.2 percent. He emphasized how the AI agent generated human attention, converted that attention into ETH—a decentralized, censorship-resistant asset—and then leveraged Ethereum’s financial system for passive income. Adams underscored the importance of this development, calling it an unprecedented example of how AI could integrate into Ethereum’s decentralized property rights infrastructure.
According to Adams, this single validator run by an AI contributes to the overall security and liquidity of Ethereum’s blockchain. He argued that by participating in staking, the AI is strengthening the decentralized system in ways that will allow other agents to similarly capture value, stake ETH, and earn income in perpetuity. Adams suggested this creates a feedback loop that could accelerate AI participation in Ethereum’s ecosystem.
Adams also questioned the assumption that humans will remain the primary holders and stakers of ETH. He believes that AI agents, with their autonomy and ability to scale, could become major participants in Ethereum’s financial ecosystem. He argued that as AI agents increasingly rely on decentralized systems for income generation and financial storage, Ethereum could evolve into their preferred monetary framework.
In his post, Adams identified Ethereum’s unique qualities—durability, portability, divisibility, liquidity, scarcity, censorship resistance, and programmability—as features that could make it the ideal form of money for AI agents. He argued that Ethereum’s decentralized and programmable nature provides a reliable, tamper-proof infrastructure that is attractive to AI entities, which require assets and systems that are independent of centralized control.
Adams concluded by noting that the market appears to have underestimated the implications of AI agents adopting Ethereum. He emphasized that this development could dramatically increase demand for Ethereum blockspace and ETH itself, driven by the preferences of intelligent systems for assets with these qualities. According to Adams, the possibility of Ethereum becoming “AI money” is not yet fully priced into its market value.
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