AI finance agents are transforming the landscape of cryptocurrency investing and trading across both traditional finance (TradFi) and decentralized finance (DeFi). These sophisticated algorithms are capable of operating autonomously to analyze market trends, manage portfolios, and optimize liquidity on decentralized exchanges like SaucerSwap and Uniswap. The anticipated growth of AI agents, from 10,000 to over a million by the end of 2025, indicates a shift towards automated finance systems. However, concerns about trust and accountability arise when algorithms manage significant amounts of digital assets. Implementing distributed ledger technology (DLT) can enhance transparency, helping to mitigate issues like market manipulation. DLT ensures auditability and safeguards against risks such as front-running and sandwich attacks that can diminish market fairness. A trust-centric model termed 'DeFAI' could emerge, allowing for secure interactions among AI-driven agents in DeFi environments. As the convergence between AI and finance accelerates, establishing verifiable trust becomes essential, with the expectation that frameworks will evolve to support this new paradigm.

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