BlockBeats report, June 15: As Agentic AI capabilities advance, AI systems are transitioning from informational tools to autonomous agents capable of executing economic actions, including connecting to crypto wallets and performing on-chain operations. Research indicates that such AI agents could futurely monitor portfolios, initiate transactions, pay service fees, and execute DeFi strategies, though most remain in a controlled phase requiring human approval (human-in-the-loop).
Due to blockchain's characteristics—such as 24/7 operation, elimination of traditional banking identity systems, and programmable execution—it is considered better suited than traditional financial systems for AI agents to perform micropayments and automated settlements. However, it also introduces new risks, including prompt injection attacks, erroneous transaction execution, privilege abuse, and security issues in smart contract interactions.
The industry is developing "agent wallets" that limit AI behavior through whitelisting, spending limits, multi-signature mechanisms, and time-based permissions. Analysis suggests that the more likely future model will be "restricted autonomy," where AI executes tasks within predefined rules rather than having full autonomous control over funds.
In the long term, AI agents may directly conduct on-chain transactions, such as purchasing data, computing power, or API services, gradually transforming wallets into machine identities and payment interfaces—but regulation and liability remain core unresolved issues.