Artificial intelligence (AI) has many applications in warfare, including in communications, intelligence, and munitions control.
AI can enhance command and control, communications, sensors, integration and interoperability. [1] AI technologies enable coordination of sensors and effectors, threat detection and identification, marking of enemy positions, target acquisition, coordination and deconfliction of distributed Joint Fires between networked combat vehicles, both human operated and autonomous. [1]
AI has been used in military operations in Iraq, Syria, Ukraine, Iran and Israel. [2] [3] [4] [5] An AI-powered Automatic Target Classifying System, which employs sensors and algorithms to automatically identify and classify targets on radar, was patented by the Indian Army in 2025. It swiftly and precisely compares real-time data—like pictures or radar signals—to a database of stored data. It can be used for disposable purposes, such guiding missiles. [6] [7]
Military drones capable of autonomous action are in wide use. [8] [ where? ]
In 2024 a Chinese laboratory at the Joint Operations College of the National Defense University in Shijiazhuang has created an AI military commander, for use in large-scale war simulations in the role of the commander-in-chief. [9]
In 2024, the Ukrainian Army developed autonomous Kamikaze drones in order to make Russian interference during flight ineffective. [4]
During the 2025 India–Pakistan conflict, the Indian military’s AI-enabled Meteorological Reporting System (Project Anumaan) was fed IMD data to assist the Artillery Combat Command and Control System with planning and accurate targeting with extended range artillery shells. Up to 200 kilometres (120 miles) inside Pakistan's borders, the system can predict exact wind speed and other meteorological conditions 48-72 hours ahead of time. [10] [11] [12] The AI also aided in long-range missile trajectory calculations. [13]
In 2023, the United States Department of Defense tested generative AI based on large language models to digitize and integrate data across the military. [14]
In the Gaza war, Israel used two AI systems to generate targets to strike: Habsora (translated: "the gospel") was used to compile a list of buildings to target, while "Lavender" produced a list of people. "Lavender" produced a list of 37,000 people to target. [3] [15] The list of buildings to target included Gazan private homes of people that were suspected of affiliation to Hamas operatives. The combination of AI targeting technology with policy shift away from avoiding civilian targets resulted in unprecedented numbers of civilian deaths. IDF officials say the program addresses the previous issue of the air force running out of targets. Using Habsora, officials say that suspected and junior Hamas members homes significantly expand the "AI target bank." An internal source describes the process as a “mass assassination factory”. [16] [15]
In 2024, the U.S. military trained artificial intelligence to identify airstrike targets during its operations in Iraq and Syria. [17]
In 2025 India–Pakistan conflict, the Indian Army employed AI to create shared operational picture, analyze intelligence, evaluate threats, and create predictive models for long-range attacks. Twenty-three applications were developed for different purposes that handled inputs and data for real-time multi-sensor and multi-source data fusion. Applications include the Electronic Intelligence Collation and Analysis System, which has been integrated with Project Sanjay to provide a common operational picture for improved coordination, situational awareness, and decision superiority, and the Trinetra system, which has been used to identify and prioritize critical threats in order to achieve strategic dominance. AI-enabled weather forecast, allowed for accurate planning and targeting of artillery units and long-range vectors. The battlefield AI model was fed 26 years of data that had recorded and archived the Pakistan Armed Forces' frequency signature and radio emission. This specified which military unit in Pakistan was responsible for each piece of equipment and where it had previously been used. Integrating feeds from sensors, drones, radars, and satellites allowed for the collection of real-time data. All the data, including information on adversary positions, resources, and logistics, were combined and presented to the military commanders for appropriate action. [18] [19]
Various countries are researching and deploying AI military applications, [2] in what has been termed the "artificial intelligence arms race". Ongoing research is focused on intelligence collection and analysis, logistics, cyber operations, information operations, and semiautonomous and autonomous vehicles. [2]
Worldwide annual military spending on robotics rose from US$5.1 billion in 2010 to US$7.5 billion in 2015. [20] [21] [ needs update ]
In November 2023, US Vice President Kamala Harris disclosed a declaration signed by 31 nations to set guardrails for the military use of AI. The commitments include using legal reviews to ensure the compliance of military AI with international laws, and being cautious and transparent in the development of this technology. [22]
Many AI researchers try to avoid military applications, with guardrails to prevent military applications integrated into most mainstream large language models. [1]
Military artificial intelligence systems have appeared in many works of fiction, often as antagonists.