Agentic AI is one of the most talked-about trends in enterprise AI, AI architecture, and digital transformation, but how much of it is real and how much is hype? In this video, David Linthicum explains what agentic AI actually is, how AI agents work, and why so many companies are overestimating the business value of autonomous AI systems.

You'll learn where agentic AI can deliver real results, especially in complex enterprise environments that require distributed decision-making, autonomous workflows, and dynamic system orchestration. David also breaks down why agentic AI is often overhyped, overused, and more expensive than expected once you factor in AI governance, enterprise architecture, operational risk, observability, and the true cost of deploying AI at scale.

This video also covers four critical attributes of successful agentic AI use cases that many architects and technology leaders miss, including dynamic environments, bounded action spaces, edge-based decision value, and recovery and control in production systems. If you are evaluating enterprise AI strategy, AI automation, AI agents in business, or the future of autonomous enterprise systems, this discussion provides a practical and grounded perspective.

Watch if you want a realistic view of agentic AI in the enterprise—where it works, where it fails, and what most experts are getting wrong.