Agentic AI: Hype vs. Reality – Gartner Predicts 40% of Projects Will Be Cancelled

Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027 due to rising costs, unclear business value, and insufficient risk controls. Research from Carnegie Mellon University and Salesforce reveals that AI agents achieve only 30-35% success rates on multi-step tasks. Many vendors are overselling their capabilities, rebranding existing products as agentic AI. While the concept is common in science fiction, real-world applications face challenges including security, privacy, copyright, and ethical concerns. CMU and Salesforce studies show even cutting-edge models struggle with common workplace tasks, highlighting that agentic AI is in its early stages and far from truly useful.