The future of AI is shifting towards decentralized, self-learning agents that autonomously achieve human-defined goals. These superior agents, unlike traditional AI, are capable of developing their own strategies and optimizing their performance without human oversight. The Brookings Institution has found that generative AI impacts a significant portion of the workforce, and this trend could extend as superior agents disrupt various market dynamics, particularly in cryptocurrency trading. While traditional AI requires substantial centralized resources, superior agents operate on a decentralized framework, allowing anyone to utilize them for profit, challenging the notion that advanced AI needs large infrastructures. This leads to a reimagined market where factors like sentiment play crucial roles in trading strategies. Consequently, these agents are not merely reactive; they actively shape market movements, presenting both opportunities and ethical concerns regarding market manipulation. With expectations of a substantial increase in AI's market value, the choice between traditional AI assistants and powerful, autonomous agents poses significant implications for the future of technology and investment.

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