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AI Agent Crisis: New Book Offers Fix for 70% Failure Rate

New book "The AI Agent Crisis" addresses 70% AI agent failure rates with proven framework. Based on Carnegie Mellon research, it offers roadmap for enterprise success amid security risks and regulatory deadlines.

This news matters because AI agents are being rapidly integrated into enterprise operations, yet current failure rates of 70% or more represent significant financial waste, security risks, and operational disruption. For business leaders, IT professionals, and policymakers, understanding this documented crisis is essential to avoid costly failed deployments. The security implications are particularly urgent, as recent breaches like the OpenClaw incident demonstrate how vulnerable AI systems can expose sensitive data and enable malicious attacks. With major regulations like the EU AI Act taking effect in 2026 and predictions of AI-caused data breaches, organizations that don't address these governance gaps face regulatory penalties and reputational damage. The book provides a timely framework for achieving reliable AI implementation, which could determine whether companies successfully leverage AI for competitive advantage or suffer from poorly governed systems that fail catastrophically.