In contemporary air warfare, precision-guided munitions, missiles and armed drones routinely hit coordinates with near-metric accuracy, yet a significant share of these strikes still falls on targets that no longer exist or never did. Bombs are dropped on buildings already destroyed, empty compounds, erroneous coordinates or carefully prepared decoys.
Armed forces and non-state actors increasingly exploit this vulnerability with sophisticated deception. They deploy inflatable or wooden mock-ups of tanks, aircraft and missile launchers, fake air defense systems, and structures that reproduce convincing thermal or radar signatures using fires, heat generators and reflectors. The objective is to absorb expensive precision weapons while preserving real assets.
On the attacking side, target selection leans ever more on artificial intelligence. Algorithms process streams of thermal and infrared imagery, vehicle track patterns, suspicious movements and radar echoes to classify objects as worthwhile targets. This automation, combined with the volume of data from drones, satellites and ISR platforms, contributes to a growing digital fog of war in which imagery is sometimes interpreted with limited human verification.
The result is a persistent gap between the advertised precision of weapons and the uncertainty of intelligence. Official claims of destroyed command posts, depots or air defense batteries are difficult to verify and may include many decoys, turning parts of modern air campaigns into a high-tech bluff.