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23 August 2026 at 4:34 am
Summary
Enterprises are finding success with AI agents by limiting their autonomy and establishing clear rules, contrary to the previous belief that more autonomy equals better performance. Reports from Gartner and McKinsey indicate that many agentic AI projects fail due to escalating costs, unclear business value, and inadequate risk controls, highlighting a critical gap between capability and control in AI deployment.
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