AI in drones: how artificial intelligence makes UAVs autonomous
AI Analysis
India is rapidly prioritizing AI-driven drone autonomy in both defense procurement and commercial UAS development, moving away from reliance on GPS and remote piloting. Recent acquisitions include autonomous combat drones (Ghatak) and AI-enabled vertical takeoff and landing (VTOL) drones (V-BAT with Hivemind). This shift is a direct response to demonstrated vulnerabilities in GPS-dependent systems during contested operations.
Key Takeaways
- India’s Defence Acquisition Council approved a ₹39,000 crore procurement of four squadrons of Ghatak stealth combat drones focused on autonomous deep-strike capabilities.
- The Indian Army selected Shield AI’s V-BAT with Hivemind autonomy, emphasizing edge inference and sovereign AI stack development.
- Operation Sindoor (May 2025) highlighted the operational limitations of GPS-dependent drones in electronically contested environments.
- AI integration is shifting drone capabilities from simple automation (waypoint navigation) to true autonomy – perception, decision-making, and adaptive action.
- The Indian Air Force is exploring collaborative drone-based surveillance radar systems through the Mehar Baba Competition.
Why It Matters
This trend indicates a strategic pivot towards resilient, AI-powered drone systems capable of operating in GPS-denied environments. The focus on indigenous AI development (Hivemind SDK) reduces reliance on foreign technology and enhances operational security. This represents a significant modernization effort for the Indian Armed Forces and a growing emphasis on autonomous systems in future warfare.
AI in drones: how artificial intelligence makes UAVs autonomous
AI in drones is now the procurement gate for Indian defence and the cost lever for Indian commercial UAS. The Defence Acquisition Council cleared four squadrons of Ghatak stealth combat drones on 27 March 2026, valued at approximately ₹39,000 crore (Ministry of Defence, 27 March 2026). The Indian Army selected Shield AI's V-BAT with Hivemind autonomy on 28 January 2026 (Shield AI Mumbai announcement, 28 January 2026). The Indian Air Force launched Mehar Baba Competition 3 in April 2026 with the theme of collaborative drone-based surveillance radars (IAF release, April 2026). This reference page covers the autonomy stack that links perception, navigation, edge inference, and swarm coordination; maps every active Indian programme onto autonomy levels; and explains why AI is now the lens through which both contested-airspace doctrine and commercial UAS economics are being rewritten.
From automation to autonomous drones: what AI changes inside the airframe
A GPS-dependent drone with waypoint navigation is automated, not autonomous. The distinction matters because in contested electromagnetic environments, GPS dependence makes a platform fail the moment its signals are denied. Operation Sindoor, conducted on 7 and 8 May 2025, exposed the limits of automation under sustained pressure on the western frontier (Ministry of Defence press note, 7 May 2025). Indian Armed Forces neutralised hundreds of incoming aerial threats through an integrated air defence shield, and the lesson written into subsequent procurement was direct. Any UAV that fails without GPS, or without an unbroken command link, is operationally dead.
AI in drones changes three things inside the airframe. Perception means the drone interprets sensor data instead of merely collecting it. A camera no longer just records pixels; an onboard neural network classifies what the pixels represent. Decision means the drone selects between mission options instead of executing a fixed script. A path is no longer a sequence of waypoints; it is a continuously updated trajectory chosen against onboard rules. Action means the drone modifies its flight path in response to new information. A target is no longer a coordinate; it is a classified object whose engagement priority can shift mid-mission.
This shift is now visible in the Indian procurement record. The Shield AI Hivemind software development kit, licensed alongside the V-BAT deal, lets Indian partners build sovereign autonomy stacks on top of edge inference rather than dependence on a foreign cloud-side AI (Shield AI, 28 January 2026). The ₹39,000 crore Ghatak procurement is structured around autonomous deep-strike capability, not remote piloting (Business Standard, 4 March 2026). Autonomous drones are now a category line item, not an experimental capability.
The five levels of drone autonomy and where Indian platforms sit today
Drone autonomy levels run from 1 to 5. Level 1