Agentic AI shifts how work gets done by taking initiative, making decisions, and managing tasks. Learn what it means for leadership, trust, autonomy, and responsibility.
The term agentic AI has been tossed around a lot lately. I didn’t realize I had already learned about it until I thought back to a conversation I had when the great Albert Bandura invited me to his home years ago. As one of the most influential psychologists of the 20th century, Bandura was best known for developing Social Cognitive Theory and the concept of agency. During our conversation, he spoke about how people are not just shaped by their environment but can actively shape it.
Many people see agentic AI as a major step forward. It offers a way to take care of time-consuming processes without constant supervision. Instead of managing each task one by one, someone can assign a larger goal and let the system handle the details. That frees up time for deeper thinking, collaboration, or simply catching up on work that has been sitting in the background.
There are also questions about control. If a system can act without permission at every step, who is responsible when something goes wrong? And what happens when multiple AI agents are interacting with each other, making choices faster than any person can follow? In my article about, I shared how two machines carried on a conversation. It raises new concerns about visibility, oversight, and who is ultimately in charge.
Organizations should start preparing now by identifying where agentic tools are already being used, whether officially or informally. They should also evaluate their comfort level with AI autonomy and assess whether current teams have the skills to supervise and collaborate with these systems. Training, guidelines, and open discussions about responsibility will help avoid confusion later.about how agentic AI fits into your team will make a real difference.
Workplace Automation Decision-Making Leadership AI Trust AI Risks Digital Transformation AI Strategy Albert Bandura
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