06 Jul AI Is Reshaping Warfare: How India Can Keep Pace

 

From muskets to machine learning — how artificial intelligence is compressing the decision cycle of war, and what it will take for India to compete in an intelligentised battlespace.

DIFFICULTY: ADVANCED     FOCUS: CONCEPT + CURRENT AFFAIRS

WHY THIS IS IN THE NEWS

Recent conflicts — the Russia–Ukraine war and the Israel–Hamas confrontation chief among them — have turned into live laboratories for military AI. Faster decision-making, autonomous platforms, precision targeting and information dominance are no longer futuristic concepts; they are shaping outcomes on today’s battlefields. In response, India is accelerating AI adoption through defence reform, indigenous innovation, and tighter collaboration between the armed forces, industry, startups and research institutions.

•      GS Paper III: Science & Technology / AI •      Defence Technology & Internal Security •      Cyber Security •      Indigenisation of Defence Technology

•      GS Paper II: International Relations & Security Policy •      Emerging Strategic Partnerships •      Essay: “AI — Boon or Threat?” •      Essay: “Future of Warfare”

Intelligentized Warfare  ·  Autonomous Weapons  ·  Drone Swarms  ·  Human-in-the-Loop  ·  Human-on-the-Loop  ·  Human-out-of-the-Loop  ·  Multi-Domain Operations  ·  Decision Superiority  ·  OODA Loop  ·  Edge Computing  ·  AI Ethics  ·  Military IoT

AI in warfare means applying machine learning, computer vision, robotics, big data and autonomous systems to military operations. Where conventional warfare is built around manpower and firepower, AI warfare is built around speed, prediction and autonomy.

REMEMBER FOR MAINS Modern wars are increasingly won by the speed of information rather than the size of armies — the shift is from manpower-centric to data-centric operations.

Generation	Nature of Warfare	Main Technology
1st	Infantry formations	Muskets
2nd	Artillery warfare	Heavy guns
3rd	Mechanized warfare	Tanks & aircraft
4th	Hybrid warfare	Terrorism, information warfare
5th	AI-enabled multi-domain warfare	AI, cyber, space, drones, quantum

Today’s battlefield spans land, sea, air, space, cyberspace, the electromagnetic spectrum and the information domain — together known as Multi-Domain Operations (MDO).

Military strategist John Boyd argued that combat is won by cycling through Observe → Orient → Decide → Act faster than the adversary. AI compresses every stage of this loop — sensors observe continuously, algorithms orient by fusing data instantly, decision-support systems recommend action in real time, and autonomous platforms act without waiting for a human command chain.

OBSERVE  →  ORIENT  →  DECIDE  →  ACT  →  (loop repeats, faster each cycle)

Countries that complete this loop faster gain battlefield superiority.

•      Autonomous Weapons — AI lets weapons identify targets, track movement, predict trajectories and fire, with minimal human input (loitering munitions, autonomous tanks, naval drones, AI-guided missiles).

•      Drone Swarms — hundreds of cheap drones replace one expensive aircraft: hard to intercept, highly scalable, able to overwhelm air defence. India has shown indigenous swarm capability.

•      AI-Driven Intelligence — fuses satellite, radar, drone, sensor, OSINT and SIGINT feeds into a single picture, producing Decision Superiority.

•      Battlefield Robotics — bomb-disposal robots, autonomous logistics vehicles, medical evacuation robots, AI reconnaissance vehicles.

•      Predictive Logistics — AI forecasts ammunition demand, fuel needs, spare parts and equipment failure, cutting cost and raising readiness.

•      Cyber Warfare — AI strengthens threat detection and autonomous cyber defence, but adversaries use the same tools for deepfakes, phishing and autonomous malware.

Country	Major Focus
United States	Joint All-Domain Command & Control (JADC2), Project Maven
China	Intelligentized Warfare, Military-Civil Fusion
Russia	AI-enabled Electronic Warfare
Israel	AI surveillance, Iron Dome integration
India	Indigenous Defence AI, Drone Ecosystem

•      Global AI investment is projected to exceed $500 billion annually by the end of the decade (industry estimates).

•      The global military AI market is expected to grow at double-digit annual rates, driven by autonomous systems and decision-support technologies.

•      Low-cost drones costing a few thousand dollars have destroyed military assets worth millions — the changing economics of warfare.

•      DAIC — Defence AI Council, sets AI strategy for the armed forces •      DAIPA — Defence AI Project Agency, coordinates implementation •      iDEX — backs startups in AI, robotics, autonomous vehicles, drones •      DRDO — works on AI surveillance, autonomous systems, combat drones

•      Atmanirbhar Bharat •      Make in India / Digital India •      Semiconductor Mission •      IndiaAI Mission •      Defence Industrial Corridors

Front	Priorities
Northern Border	High-altitude surveillance, autonomous logistics, AI reconnaissance
Western Border	Counter-terrorism, anti-drone systems, border monitoring
Indian Ocean Region	Maritime domain awareness, autonomous underwater vehicles, naval drones

•      Technological gap — India still imports high-end GPUs, semiconductor chips and AI hardware.

•      Data security — military AI needs secure datasets, encrypted communications and trusted models.

•      Ethical issues — should a machine ever decide who lives and who dies?

•      Legal gap — international humanitarian law has no comprehensive rules yet for fully autonomous lethal weapons.

•      Cyber risk — AI systems face adversarial attacks, data poisoning, model theft and algorithm manipulation.

EXAMINER’S VALUE ADDITION

•      Increase defence AI R&D funding •      Strengthen indigenous semiconductor manufacturing •      Expand iDEX and the startup innovation ecosystem

•      Deepen civil–military collaboration with academia and industry •      Build ethical, responsible AI governance for defence •      Grow AI, robotics, cyber and quantum skilling; cooperate abroad while guarding strategic autonomy

 Prelims Practice

QUESTION 1

Consider the following statements regarding AI in warfare:

1. AI can improve predictive military logistics.

2. Drone swarms operate through coordinated autonomous behaviour.

3. Human-in-the-Loop means AI independently takes final lethal decisions.

Which of the statements given above is/are correct?

•      A. 1 only •      C. 2 and 3 only

•      B. 1 and 2 only •      D. 1, 2 and 3

Answer: B  — Statement 3 is false; Human-in-the-Loop means a human, not the machine, retains the final decision.

QUESTION 2

Which of the following initiatives are related to AI adoption in India’s defence sector?

1. Defence AI Council (DAIC)

2. Defence AI Project Agency (DAIPA)

3. Innovations for Defence Excellence (iDEX)

•      A. 1 only •      C. 2 and 3 only

•      B. 1 and 2 only •      D. 1, 2 and 3

Answer: D  — All three are genuine institutional pillars of India’s defence-AI push.

GS PAPER III · 15 MARKS “Artificial Intelligence is redefining the character of warfare by enhancing military effectiveness while creating new ethical, legal and strategic challenges.” Discuss. What measures should India adopt to become a globally competitive AI-enabled military power while ensuring responsible use of AI? (Word limit: 250)

AI is turning warfare from a manpower-centric contest into a data-centric one. Nations that fuse AI, autonomy, cyber resilience and indigenous technology will hold the strategic edge. For India, keeping pace means sustained investment in research, semiconductors, trusted AI ecosystems, military reform and ethical governance — building an AI-enabled military under Atmanirbhar Bharat while keeping human judgment at the centre of the use of force.