UNO experts: Deepak Khazanchi, Anoop Mishra debunk 5 AI myths

The commentary comes from the University of Nebraska at Omaha's Center for Management of Information Technology, where Khazanchi serves as executive director and Mishra as a postdoctoral research fellow. Rather than presenting new experimental results, the authors synthesize existing research — MIT's finding that AI is most valuable when it augments human work, and Berkeley and MIT research showing that human-AI teams do not automatically outperform either humans or AI alone.

The piece fits into a broader pattern in AI discourse where the gap between adoption and realized returns is drawing scrutiny. The authors point to IBM's Watsonx restructuring and to Morgan Stanley and JPMorgan's agentic AI deployments as examples of organizations that redesigned workflows alongside technology deployment rather than simply purchasing tools. They also identify a set of emerging roles — AI evaluator, AI Compliance Officer, and Clinical AI Governance Manager among them — that they say are being created as AI systems require supervision and governance.

The stakes likely hinge on whether organizations follow the workflow-redesign path the authors describe or continue treating AI acquisition itself as the source of value. For executives under pressure to demonstrate AI returns, the commentary suggests that the measurement and process work around AI may matter more than the tools themselves, though the authors' conclusions rest on cited research reviews rather than their own new experiments.