Agentic AI's 'Complexity Wall' Forces Industry-Wide Reality Check on Automation

New research revealing that agentic AI systems fail on complex tasks serves as a critical reality check for an industry banking on autonomous agents as the next frontier. This highlights a significant gap between the marketing narrative of powerful, independent AI and the current reality of its operational limits. The findings challenge the prevailing hype, forcing a recalibration of what AI can reliably accomplish today, shifting focus from pure autonomy to the underlying fragility of these advanced systems.