Balancing the AI paradox: a conceptual model of leadership, digital well-being and relational energy at work

Purpose This conceptual paper examines how artificial intelligence (AI) reshapes leadership dynamics. It addresses a critical gap: the lack of an integrated framework explaining how AI leadership influences employees' psychological and social resources. Design/methodology/approach The paper develops the AI-augmented leadership–well-being–relational energy model. This framework challenges the job demands-resources model's static view, theorizing digital well-being as a dynamic regulatory mechanism linking leadership behaviors to relational energy. Findings The analysis finds that AI-empowering leadership enhances digital well-being and strengthens relational energy. Conversely, AI-monitoring leadership depletes these same vital resources. Research limitations/implications The proposed model is conceptual and needs empirical validation across different cultural and organizational settings. Practical implications The model provides leaders and organizations with a critical, human-centered framework for the ethical integration of AI into leadership practice, aiming to foster more resilient and energized workplaces. Social implications Socially, it promotes digitally healthy, resilient workplaces. Originality/value The primary contributions are extending the job-demands and resource model, uniquely re-conceptualizing digital well-being as a regulatory resource and relational energy as a collective amplifier and recasting the leader's role as a sociotechnical architect.

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Publication Details

Journal
Leadership & Organization Development Journal
Published
2026-07-22
DOI
https://doi.org/10.1108/lodj-10-2025-0934
Primary Topic
Technostress in Professional Settings
Type
article
Field-Weighted Citation Impact
0.00
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article

Balancing the AI paradox: a conceptual model of leadership, digital well-being and relational energy at work

Pradip Kumar Nanda
Leadership & Organization Development Journal
Technostress in Professional Settings
article

Balancing the AI paradox: a conceptual model of leadership, digital well-being and relational energy at work

Pradip Kumar Nanda
article en

Abstract

Purpose This conceptual paper examines how artificial intelligence (AI) reshapes leadership dynamics. It addresses a critical gap: the lack of an integrated framework explaining how AI leadership influences employees' psychological and social resources. Design/methodology/approach The paper develops the AI-augmented leadership–well-being–relational energy model. This framework challenges the job demands-resources model's static view, theorizing digital well-being as a dynamic regulatory mechanism linking leadership behaviors to relational energy. Findings The analysis finds that AI-empowering leadership enhances digital well-being and strengthens relational energy. Conversely, AI-monitoring leadership depletes these same vital resources. Research limitations/implications The proposed model is conceptual and needs empirical validation across different cultural and organizational settings. Practical implications The model provides leaders and organizations with a critical, human-centered framework for the ethical integration of AI into leadership practice, aiming to foster more resilient and energized workplaces. Social implications Socially, it promotes digitally healthy, resilient workplaces. Originality/value The primary contributions are extending the job-demands and resource model, uniquely re-conceptualizing digital well-being as a regulatory resource and relational energy as a collective amplifier and recasting the leader's role as a sociotechnical architect.

Leadership & Organization Development Journal
National Institute of Technology Tiruchirappalli (IN)
Decent work and economic growth
Openalex Percentile: Top 5%
Technostress in Professional Settings
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