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The Evolving Landscape of Leadership in the Age of AI

by Alan Brown August 1, 2024, 4:03 pm 528 Views

A person typing on a laptop with a holographic image of a chatbot labeled “AI” appearing above the keyboard, symbolizing interaction with artificial intelligence. The image highlights the integration of AI technology in everyday tasks. Credit: Shutterstock

Artificial intelligence (AI) is rapidly transforming leadership by automating tasks and providing insights, but it raises questions about the future of human leaders. This summary explores the evolving role of leadership in the AI age, emphasizing the irreplaceable qualities of human leaders.

Key insights include:

AI complements, rather than replaces, human leadership.
Human qualities like empathy, emotional intelligence, and critical thinking are essential.
Leaders must leverage AI for data-driven decision-making while maintaining the human touch.

As Professor Alan Brown states, “The future of leadership lies in complementarity, not replacement.”

Read the full article to delve deeper into the impact of AI on leadership on The Oxford Group website.

Written by Alan Brown

Prof. Alan Brown has been delivering impact as an entrepreneur and in business for over 30 years, working in start-ups and large enterprises to enable software delivery to power business transformation. He is also a university professor, researcher, coach, and trusted adviser to C-level executives in the public and private sector. He has written several books on enterprise software delivery and digital transformation, and holds a Professorship in Digital Economy at the University of Exeter, UK and is a Fellow of the Alan Turing Institute, the UK National institute for data science and AI.

In his capacity as the Deputy Director of the Defence Data Research Centre (DDRC) and serving as the Principal Investigator (PI) for the Data Management division within the DDRC's research program, Alan is actively engaged in a multifaceted research agenda. His responsibilities include investigating contemporary best practices in data management for artificial intelligence and decision-making, conducting a comprehensive review of existing data management practices within select areas of the Ministry of Defence (MoD), and undertaking a needs analysis aimed at informing the requirements of data architects and managers in the context of AI and decision-making processes.