Agentic AI has captured the imagination of enterprises everywhere. It promises autonomous systems capable of reasoning, making decisions, and dynamically adapting to changing conditions. The allure lies in machines operating independently, free of human intervention, streamlining processes and enhancing efficiency at unprecedented scales. No wonder it’s billed as the next big thing.
It’s a tempting vision, reinforced by marketing headlines and ambitious vendor pitches. Global AI investments surged past $90 billion in 2022, with a significant slice aimed specifically at technologies like agentic AI. But if you step back from the narrative, a troubling truth emerges: Agentic AI in the cloud is focused more on glossy presentations than on enterprise realities.
Execution falls short
Agentic AI remains more conceptual than practical. For all its potential, the technology has failed to demonstrate widespread adoption or scalability in enterprise contexts. We hear a lot about self-directed systems transforming industries, but evidence of meaningful deployment is painfully scarce.
