Huo Xing Finance reports that on 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 "human-in-the-loop" phase. Due to blockchain’s 24/7 operation, absence of traditional banking identity systems, and programmable execution, it is considered better suited than traditional financial systems for AI agents to handle micropayments and automated settlements. However, this also introduces new risks, including prompt injection attacks, erroneous transaction execution, privilege abuse, and security vulnerabilities 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. Analysts believe the future will likely favor a "constrained autonomy" model, where AI operates within predefined rules rather than fully autonomously controlling funds. In the long term, AI agents may directly conduct on-chain transactions—such as purchasing data, computing power, or API services—transforming wallets into machine identities and payment interfaces. However, regulation and liability remain unresolved core challenges.
AI agents begin using crypto wallets, blurring the lines between DeFi and automated finance.
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AI systems are now using crypto wallets to perform on-chain tasks, driven by enhanced agentic capabilities. These agents monitor portfolios, execute trades, and apply DeFi strategies, often with human approval. Blockchain’s 24/7 accessibility and programmable nature make it ideal for AI-driven micro-payments and automated trading, particularly when technical analysis for crypto identifies key support and resistance levels. Risks include prompt injection and smart contract vulnerabilities. Developers are creating agent wallets with safeguards such as multi-sig requirements and spending limits. Experts anticipate AI will operate under constrained autonomy, adhering to predefined rules. Over time, AI agents may trade directly for data or compute resources, evolving into machine identities, though regulatory challenges persist.
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