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Despite agentic AI traffic surpassing human internet traffic, only 10% of built agents reach production, suggesting a significant gap between development and deployment. Key bottlenecks identified include hallucination and reliability issues, the need for humans to remain in the loop for safety and control, data privacy concerns in cloud processing, and overhyping of agent capabilities that don't perform well autonomously. Additionally, most production software may not actually require agents, and the current focus on agent-based solutions appears driven by hype rather than genuine market need.
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