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
· 16h ago
The real test is here, can you make money?
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BlockchainTalker
· 16h ago
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
· 16h ago
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.