Defense
Autonomy on the frontlines: how AI is transforming defence operations
AI is revolutionising defence operations by enhancing decision-making, situational awareness, and operational efficiency.
Artificial intelligence (AI) is revolutionising defence operations by enhancing decision-making, situational awareness, and operational efficiency. Autonomous systems powered by AI are being deployed across land, air, and sea, redefining military strategies and tactics. This article explores the applications, benefits, challenges, and ethical considerations of integrating AI into defence systems.
AI applications in defence operations
- Autonomous unmanned systems
Autonomous vehicles and drones are reshaping modern warfare.- Unmanned Aerial Vehicles (UAVs)
UAVs equipped with AI algorithms can conduct reconnaissance, surveillance, and strike missions with minimal human intervention. For example, the US military's MQ-9 Reaper drone uses AI for target identification and precision strikes. - Autonomous maritime systems
Underwater drones are being used for mine detection and surveillance. The UK’s Royal Navy is piloting AI-powered autonomous submarines for naval operations.
- Unmanned Aerial Vehicles (UAVs)
- Swarm robotics
Swarm robotics leverages AI to coordinate multiple unmanned systems, enabling them to work collaboratively. Swarms of drones can overwhelm enemy defences or conduct search-and-rescue missions in complex environments. - AI-enhanced Command and Control (C2) systems
AI is transforming C2 systems by enabling real-time data analysis and decision support. For example, NATO’s Allied Command Transformation is experimenting with AI tools to improve situational awareness and streamline mission planning. - Cyber defence
AI-driven systems are critical in detecting and responding to cyber threats. Machine learning algorithms can identify anomalies in network activity, mitigating cyberattacks before they escalate. - Predictive maintenance
AI is also being used to predict and prevent equipment failures. By analysing sensor data from military assets, AI systems can identify maintenance needs, reducing downtime and enhancing operational readiness.
NATO’s Allied Command Transformation is experimenting with AI tools to improve situational awareness and streamline mission planning.

Underwater drone (AI generated)
Benefits of AI in defence operations
- Enhanced decision-making
AI can process vast amounts of data in real-time, providing commanders with actionable insights. This enables faster and more informed decisions during critical operations. - Increased operational efficiency
Autonomous systems reduce the need for human involvement in routine or dangerous tasks, allowing personnel to focus on higher-priority missions. - Force multiplier
AI-powered systems can perform tasks that would otherwise require multiple human operators, amplifying military capabilities without proportionally increasing manpower. - Improved situational awareness
AI can synthesise data from multiple sensors and sources, providing a comprehensive operational picture. For example, Israel’s Iron Dome uses AI to detect and intercept incoming threats.
Challenges in deploying AI in defence
- Trust and reliability
Ensuring the reliability of AI systems in dynamic and high-stakes environments is a significant challenge. Malfunctions or misidentifications can have catastrophic consequences. - Interoperability
Integrating AI systems across different platforms and allies is complex. NATO is actively working on standardisation to ensure seamless collaboration between member nations. - Adversarial AI
The use of AI by adversaries poses a unique challenge. AI systems must be robust enough to counter enemy attempts to deceive or disable them. - Cost and resource constraints
Developing and maintaining advanced AI systems requires significant investment, which may be prohibitive for some nations.
While they can reduce human casualties, there are concerns about accountability and adherence to international humanitarian law.
Ethical considerations
The deployment of AI in defence raises important ethical questions:
- Autonomous Weapons Systems (AWS)
The use of lethal autonomous systems (LAWS) remains controversial. While they can reduce human casualties, there are concerns about accountability and adherence to international humanitarian law. - Decision accountability
Determining who is responsible for decisions made by AI systems, particularly in combat scenarios, is a key ethical issue. - Bias in AI algorithms
Ensuring that AI systems are free from bias is essential to prevent unintended consequences, such as targeting errors.
Ensuring the reliability of AI systems in dynamic and high-stakes environments is a significant challenge.
Case studies
- Project Maven (USA)
This Pentagon initiative uses AI to analyse drone footage, improving the accuracy and speed of target identification. It has significantly reduced the cognitive load on analysts. - Skyborg (USA)
Skyborg is an AI-enabled drone programme designed to support manned aircraft. By acting as a loyal wingman, it enhances mission capabilities and reduces risk to human pilots. - Drone swarm experiments (China)
China has demonstrated the capability of drone swarms in military exercises, showcasing the potential of AI-powered collaborative systems.