{"id":4305,"date":"2026-07-27T13:01:57","date_gmt":"2026-07-27T07:31:57","guid":{"rendered":"https:\/\/journal.ipem.edu.in\/management\/?page_id=4305"},"modified":"2026-07-27T13:07:47","modified_gmt":"2026-07-27T07:37:47","slug":"managing-with-machines-the-role-of-ai-in-contemporary-business-leadership","status":"publish","type":"page","link":"https:\/\/journal.ipem.edu.in\/management\/managing-with-machines-the-role-of-ai-in-contemporary-business-leadership\/","title":{"rendered":"Managing with Machines: The Role of AI in Contemporary Business Leadership"},"content":{"rendered":"\t\t
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Managing with Machines: The Role of AI in Contemporary Business Leadership<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t Vipul Saxena<\/em><\/a>\r\n\r\n\r\n\r\n\r\n\r\n

Vol 19 , Issue 1 , July 2025<\/a> | <\/span>Pages: \r\n <\/p>\r\n \r\n \t

DOI: 10.61691\/IPEM_Mgmt.19.2025.79-86<\/a><\/p>\r\n\r\n

Published Online: July, 2025<\/span><\/p>\r\n

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  • \n \n \n \n Author Affiliations<\/span> <\/li>\n
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    Author Details<\/b><\/p>

    Vipul Saxena
    Senior Project Manager, Pure Software, Noida Email: saxena.vip@gmail.com<\/p><\/div><\/div> <\/div>\n\t\t \n

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    As artificial intelligence (AI) continues to evolve, it is reshaping the landscape of business leadership by augmenting decision-making, enhancing operational efficiency, and enabling predictive insight across organizational functions. This paper explores the transformative role of AI in contemporary leadership, focusing on its key applications in strategic planning, human resource management, customer engagement, and data-driven governance. Drawing on empirical studies and theoretical models, the paper highlights how AI empowers leaders to navigate complexity, improve responsiveness, and foster innovation (Davenport &Ronanki, 2018; Haenlein& Kaplan, 2019). At the same time, it addresses the emerging challenges leaders face, including algorithmic bias, ethical accountability, and the need for digital fluency (Cowls &Floridi, 2018; Newman, Fast, & Harmon, 2020). While AI offers unprecedented opportunities to enhance leadership effectiveness, the paper argues that human judgment, ethical oversight, and emotional intelligence remain irreplaceable. Ultimately, successful integration of AI in leadership requires a balanced approach that combines technological capabilities with human-centered values and adaptive strategies.<\/p>

    Keywords<\/strong>: artificial intelligence, leadership, decision-making, digital transformation, algorithmic ethics, organizational management<\/p> <\/div>\n\t\t \n

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    \u00b7 Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company.<\/p>

    \u00b7 Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute. https:\/\/www.mckinsey.com<\/p>

    \u00b7 Brougham, D., &Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees\u2019 perceptions of our future workplace. Journal of Management & Organization, 24(2), 239\u2013257. https:\/\/doi.org\/10.1017\/jmo.2017.12<\/p>

    \u00b7 Chamorro-Premuzic, T., Akhtar, R., Winsborough, D., & Sherman, R. (2019). The Talent Delusion: Why Data, Not Intuition, Is the Key to Unlocking Human Potential. Harvard Business Review Press.<\/p>

    \u00b7 Chui, M., Manyika, J., &Miremadi, M. (2018). What AI can and can\u2019t do (yet) for your business. McKinsey Quarterly. https:\/\/www.mckinsey.com<\/p>

    \u00b7 Cowls, J., &Floridi, L. (2018). Prolegomena to a white paper on an ethical framework for a good AI society. Minds and Machines, 28(4), 689\u2013707. https:\/\/doi.org\/10.1007\/s11023-018-9482-5<\/p>

    \u00b7 Davenport, T. H., &Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108\u2013116.<\/p>

    \u00b7 George, G., Howard-Grenville, J., Joshi, A., &Tihanyi, L. (2016). Understanding and tackling societal grand challenges through management research. Academy of Management Journal, 59(6), 1880\u20131895.<\/p>

    \u00b7 Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of AI. California Management Review, 61(4), 5\u201314. https:\/\/doi.org\/10.1177\/0008125619864925<\/p>

    \u00b7 Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision-making. Business Horizons, 61(4), 577\u2013586. https:\/\/doi.org\/10.1016\/j.bushor.2018.03.007<\/p>

    \u00b7 McKinsey & Company. (2021). The state of AI in 2021. https:\/\/www.mckinsey.com\/business-functions\/mckinsey-analytics<\/p>

    \u00b7 Newman, D. T., Fast, N. J., & Harmon, D. J. (2020). When eliminating bias isn\u2019t fair: Algorithmic reductionism and procedural justice in organizational decision-making. Organizational Behavior and Human Decision Processes, 160, 149\u2013167. https:\/\/doi.org\/10.1016\/j.obhdp.2020.02.003<\/p>

    \u00b7 Ransbotham, S., Kiron, D., LaFountain, B., &Khodabandeh, S. (2018). Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review. https:\/\/sloanreview.mit.edu<\/p>

    \u00b7 Russell, S., &Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.<\/p>

    \u00b7 Wilson, H. J., & Daugherty, P. R. (2018). Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press<\/p> <\/div>\n\t\t \n

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