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Leadership with AI and trust: adapting popular leadership styles for AI

Leadership with AI and trust: adapting popular leadership styles for AI
Leadership with AI and trust: adapting popular leadership styles for AI
This book enables leaders to fully utilize AI and build trust in their team and other stakeholders. Leadership has a long history but it never stops evolving. This constant evolution can be a slow gradual shift from one leadership style to another, while other times, this change is far more dramatic. We have been going through the gradual increase in the popularity of transformational leadership at the expense of traditional authoritarian management but now, due to AI, we are going through a more extreme transformation. This dramatic change, often referred to as digital transformation, is also a human transformation. The question arises: How will you lead people and generative AI?

The ambidextrous leader adapts their processes to fully utilize AI and builds trust in people. Furthermore, the ambidextrous leader empathises with people. A leader in AI and trust can understand their context and the stage in a project that they are in currently, the challenges they will face now, and in the subsequent stages, and acts accordingly.

This book goes through the popular leadership styles, their strengths and weaknesses, how they can influence AI use, and build trust. The book then offers its proprietary blend of transactional, servant and transformational leadership that achieves the best results.

Only book to contrast and develop all the key leadership styles in an AI-driven business environment
Offers practical steps to build trust in people and AI

Highly regarded, internationally relevant and original case material.
Leadership, trust, Artificial intelligence, transformational leaderhip, transactional leadership, servant leadership, Management, diffusion of innovation
De Gruyter
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc

Zarifis, Alex (2025) Leadership with AI and trust: adapting popular leadership styles for AI , De Gruyter, 263pp.

Record type: Book

Abstract

This book enables leaders to fully utilize AI and build trust in their team and other stakeholders. Leadership has a long history but it never stops evolving. This constant evolution can be a slow gradual shift from one leadership style to another, while other times, this change is far more dramatic. We have been going through the gradual increase in the popularity of transformational leadership at the expense of traditional authoritarian management but now, due to AI, we are going through a more extreme transformation. This dramatic change, often referred to as digital transformation, is also a human transformation. The question arises: How will you lead people and generative AI?

The ambidextrous leader adapts their processes to fully utilize AI and builds trust in people. Furthermore, the ambidextrous leader empathises with people. A leader in AI and trust can understand their context and the stage in a project that they are in currently, the challenges they will face now, and in the subsequent stages, and acts accordingly.

This book goes through the popular leadership styles, their strengths and weaknesses, how they can influence AI use, and build trust. The book then offers its proprietary blend of transactional, servant and transformational leadership that achieves the best results.

Only book to contrast and develop all the key leadership styles in an AI-driven business environment
Offers practical steps to build trust in people and AI

Highly regarded, internationally relevant and original case material.

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More information

Published date: 23 July 2025
Keywords: Leadership, trust, Artificial intelligence, transformational leaderhip, transactional leadership, servant leadership, Management, diffusion of innovation

Identifiers

Local EPrints ID: 504666
URI: http://eprints.soton.ac.uk/id/eprint/504666
PURE UUID: db444e08-987a-4160-b166-d969edf91dfb
ORCID for Alex Zarifis: ORCID iD orcid.org/0000-0003-3103-4601

Catalogue record

Date deposited: 17 Sep 2025 16:37
Last modified: 18 Sep 2025 02:12

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Author: Alex Zarifis ORCID iD

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