Srinath Godavarthi, Chief AI Officer at CogniwareAI, advises C-suite leaders on AI strategy and is the author of two books on GenAI.
There is a phrase echoing through every boardroom, investor call and strategy off-site in 2026: "agentic AI." But behind this buzz lies a critical misconception. Most executives still think of AI agents as another technology wave to ride and upgrade existing operations. They may be missing the bigger point.
Agentic AI isn't just another technology wave. It's a fundamental operating model shift that is redesigning productivity, decision-making and competitive advantage across the enterprise, and the difference matters. Organizations that treat this paradigm as a technology project will see small gains at best. Those that treat it as an organizational redesign can unlock transformative value.
The evidence is clear: Microsoft's AI business has reached a $37 billion annual revenue run rate, built on the apparent conviction that enterprises are moving from cloud-native to agent-native computing. Salesforce has declared the arrival of the "Agentic Enterprise." Nvidia's Jensen Huang likened autonomous AI agents to "digital employees." OpenAI, Google and Anthropic are all building platforms designed not for human prompting but for autonomous agent execution.
