Is India’s Army Entering the Next Era of AI-Based Warfare With EKAM and Digitalisation 3.0?
About the AI Military Shift
India has taken a significant leap toward building an AI-driven military capability with the launch of the new AI Handbook for Military Leaders and rapid progress on key projects including EKAM (AI-as-a-Service), Digitalisation 3.0, and ‘Prakshepan’, a cutting-edge military climatology system.
Defence Minister Rajnath Singh unveiled these initiatives as part of a strategic framework designed to help the Indian Army transition into a fully digital, data-led, and AI-ready combat force. The handbook serves as a doctrine manual to prepare commanders for rapid technological evolution in future warfare.
The handbook provides clarity on core AI principles, military applications, risks, system brittleness, ethical considerations, responsible use of lethal systems, and adherence to humanitarian and international laws. It also clarifies military AI governance frameworks and includes operational doctrines for deploying AI models across the Army Data Network.
Key Highlights
🔹 AI Handbook launched for military commanders to navigate technological evolution.
🔹 Project EKAM: India’s indigenous AI-as-a-Service platform under iDEX ADITI 2.0.
🔹 Digitalisation 3.0 framework showcased with focus on operational digitisation.
🔹 Prakshepan: A military climatology system integrating two decades of data.
🔹 100 AI applications documented across Digital Sena and AI-ready battlefield architecture.
🔹 Major cultural shift announced toward an AI-dependent future combat doctrine.
With defence forces worldwide accelerating technological modernisation — including autonomous combat platforms, AI-enabled surveillance, predictive logistics, and cyber warfare automation — India’s latest initiative marks its entry into the next generation of warfare architecture.
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Comparative View: AI Defence Adoption Globally
| Country | AI Focus Area | Stage of Deployment |
| India | Predictive warfare, climatology, AI battlefield doctrine, secure AI platforms | Scaling Phase |
| USA | Autonomous drones, battlefield robotics, cyber and electronic warfare | Operational |
| China | Military surveillance AI, autonomous combat systems | Operational + Experimental |
With the introduction of Project EKAM, India is attempting to reduce dependencies on imported software and military AI frameworks, enabling indigenous secure systems that can operate in combat conditions with resiliency against cyber and electronic warfare.
Strengths & Weaknesses
|
🔹 Moves India toward self-reliant defence technology. 🔹 Helps commanders adapt to emerging digital warfare realities. 🔹 Facilitates secure AI deployment inside classified networks. |
🔻 High execution complexity across Army divisions. 🔻 Need for deep integration with legacy infrastructure. 🔻 Human oversight challenges in lethal automation. |
Opportunities & Threats
|
💡 Potential to scale India-based AI defence exports. 💡 Enables battlefield prediction and early threat detection. |
⚠️ AI warfare escalation risk from neighboring countries. ⚠️ Cyber warfare exposure during deployment phase. |
Strategic Outlook
India’s defence AI strategy signals a long-term shift — not just technological — but doctrinal, cultural, and operational. The integration of AI with climate science, command training, autonomous modelling, and predictive algorithms places India among the few militaries actively building indigenous AI warfare frameworks.
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Investor Takeaway: Derivative Pro & Nifty Expert Gulshan Khera, CFP®, notes that India's defence modernization push could unlock a long-term defence technology cycle benefiting listed defence manufacturers, AI defence ecosystem enablers, and cybersecurity linked sectors. Explore more market insights at Indian-Share-Tips.com, which is a SEBI Registered Advisory Services.
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SEBI Disclaimer: The information provided in this post is for informational purposes only and should not be construed as investment advice. Readers must perform their own due diligence and consult a registered investment advisor before making any investment decisions. The views expressed are general in nature and may not suit individual investment objectives or financial situations.
