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              <text>Pandey, Ananya</text>
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              <text>AI-Powered Military Logistics and Strategy: A Paradigm Shift in Modern Warfare</text>
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              <text>01-01-2026</text>
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              <text>Ethical Challenges of AI and Warfare;pp.45-66</text>
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              <text>&lt;a href="https://doi.org/10.4018/979-8-3373-3611-4.ch002" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-3611-4.ch002&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105038914733?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105038914733?origin=resultslist&lt;/a&gt;</text>
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              <text>Pandey A., Christ University, Bangalore, India</text>
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              <text>The function of logistics and strategic planning has expanded beyond traditional supply lines as contemporary warfare becomes more complicated. AI is changing military operations by facilitating autonomous logistics systems, real-time data processing, and quicker decision-making. This change is altering how military strategy is developed and implemented, going beyond efficiency improvements. AI provides a level of adaptability never before achievable, from autonomous transport systems and coordinated battlefield support to predictive maintenance of combat vehicles. An intelligent and robust logistics ecosystem is being fostered by the integration of technologies such as swarm robotics, satellite-based monitoring, and quantum-enhanced optimization. But this change also presents operational, ethical, and policy issues. This chapter addresses the hazards of reliance and misalignment while examining the complex effects of AI on military logistics and strategy. Copyright  2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.</text>
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              <text>IGI Global Scientific Publishing</text>
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              <text>ISBN: 979-833733613-8; 979-833733611-4; 979-833733612-1;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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