2025 has witnessed a pivotal turning point where AI agents transition from concept to practical application. No longer just focusing on quantity or trading volume, the true breakthrough lies in: research agents, trading agents, risk management agents, and cross-chain execution agents are now operating in real environments, serving real users. These agents are not sandbox drills but are performing actual functions within on-chain economies—ranging from data analysis to trading decisions, from risk assessment to multi-chain operations. Every layer is testing the feasibility of AI-driven autonomous economies. This marks the evolution of the Web3 ecosystem from a tool layer to an agent layer.
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SerumSquirter
· 01-01 21:56
The real test is here, can you make money?
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BlockchainTalker
· 01-01 21:55
actually wait, so we're finally past the "it's all theoretical" phase? empirically speaking, this reads less like hype and more like... actual infrastructure materializing. let me break it down: research→trading→risk mgmt→cross-chain execution is basically saying agents are now handling the entire value chain. that's not incremental, that's paradigm shift territory tbh
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VCsSuckMyLiquidity
· 01-01 21:37
The truly profitable agents have appeared, and this is the key.
2025 has witnessed a pivotal turning point where AI agents transition from concept to practical application. No longer just focusing on quantity or trading volume, the true breakthrough lies in: research agents, trading agents, risk management agents, and cross-chain execution agents are now operating in real environments, serving real users. These agents are not sandbox drills but are performing actual functions within on-chain economies—ranging from data analysis to trading decisions, from risk assessment to multi-chain operations. Every layer is testing the feasibility of AI-driven autonomous economies. This marks the evolution of the Web3 ecosystem from a tool layer to an agent layer.