A decade ago, games like Pokémon GO were all about entertainment, walking the streets capturing virtual creatures, and experiencing augmented reality. But today, the same interaction pattern that combines movement, rapid attention, and instantaneous decision-making has become part of serious discussions within military institutions and defense companies around the world.
The basic idea is not that “players have become soldiers,” but rather that the skills developed by digital games have become transferable to the tasks of operating complex systems, especially in areas such as drones, simulation, and cyber warfare.
Read also
list of 2 itemsend of list
From phone screens and home consoles to modern battlefields, digital games and player behaviors have become an unexpected tool for developing and training intelligent military systems. This link between entertainment and military technology is not a coincidence, but rather the result of a direct intersection in the fields of artificial intelligence.
Why does the army care about players at all?
In recent years, military organizations such as the US Department of Defense have noticed that some gamer skills directly intersect with the requirements of operating modern systems, such as speed of response under pressure, eye-hand coordination, understanding complex digital interfaces, and the ability to make instant decisions based on changing data.
These skills are not innate, but are honed through competitive or simulation-based games. In this context, shooting or strategy games are no longer just entertainment, but have become an informal training environment for control skills and quick reading of the scene.
Pokemon Go: crowd scanning and GPS alternatives
When the game “Pokemon Go” was launched in 2016 by the American company Niantic, millions of players engaged in the largest crowd scanning process in history of city terrain through augmented reality (AR) technology.
The game relied on activating the cameras and geographical sensors of phones to determine the locations of “Pokémon,” and these behaviors provided technology companies, and behind them, security agencies, millions of hours of visual data updated with high accuracy for streets, landmarks, and vital facilities from multiple angles.
MIT reports that this type of spatial data represents the cornerstone for the development of simultaneous localization and mapping (SLAM) algorithms. These algorithms are used today to guide drones and cruise missiles, as the drone relies on its cameras to match realistic terrain with pre-stored optical maps to determine its path without the need for satellites.
Suicide march pilots… muscle memory from FPS to FPV
Recent military conflicts, particularly the Russo-Ukrainian War, have demonstrated that the motor and visual skills developed by players of FPS games such as Call of Duty or simulation games are valuable military assets.
Players have a superior ability to process rapid visual data streams and make decisions in fractions of a second. This visual-kinetic coordination is the same as required to operate FPV Drones.
In reports published by the Ukrainian Ministry of Defense and the British newspaper the Financial Times, military officials indicated that army recruits from the “player” category showed a sharp superiority in leading suicide marches and accurately directing them towards windows or armor openings compared to traditional soldiers, thanks to the “muscle memory” acquired from the control devices.
StarCraft and Dota…environments for training artificial minds for battles
The “Fog of War”, the state of uncertainty and lack of information about enemy movements in the field, is one of the greatest challenges to military planning. To get around this, defense agencies have resorted to testing their algorithms in complex strategy games.
The superiority of AlphaStar and OpenAI Five has prompted AI labs like DeepMind to develop models that outperform world champions in games like StarCraft II and Dota 2. These digital environments require managing scarce resources, anticipating unseen adversary movements, and making thousands of simultaneous decisions.
According to the US Defense Advanced Research Projects Agency (DARPA) programmes, the algorithms and neural networks proven in these games are being adapted and developed to operate the military’s C4ISR computer command, control and communications systems. These systems help military commanders predict enemy movements, manage logistics, and simulate real war scenarios based on artificial intelligence proven in games.
Business simulation games as tactical training fields
Militaries no longer need to build multi-billion-dollar simulation software from scratch, but rather rely on modified versions of commercial games available to players.
The famous military simulation game ARMA, which was developed by the Czech company Bohemia Interactive, is considered the most prominent model. Through its military division, the company developed Virtual BattleSpace (VBS), a tactical simulation built directly on the commercial game engine.
According to data from the US Department of Defense and the British Army, the VBS platform is used to train infantry and officers in tactical coordination, and test offensive and defensive plans in virtual environments that accurately simulate weapons physics, climate, and terrain impact, saving millions of dollars in ammunition and field training costs.
Graphics processing unit…the hardware boom driven by gamers’ passion
Behind all this military software stands a single hardware engine: graphics processing units (GPUs). The current revolution in military artificial intelligence, from automated target recognition in drones to satellite image processing, would not have happened without the gaming community’s continued demand for more realistic game graphics and faster frame rates.
This consumer passion has prompted companies such as NVIDIA to make huge investments to develop chips capable of processing millions of parallel mathematical operations in a fraction of a second. These same chips, such as Tensor Cores, are today shipped in defense servers and military data centers to power complex neural networks.
Entertainment serves armies
The boundaries between civilian, entertainment, and military technology have almost blurred, and every button press, geographic location scan, and graphics card development within the gaming community contributes directly or indirectly to feeding and developing the algorithms and hardware of smart warfare in the twenty-first century.
What we are witnessing today is not the move of players to the military field, but the move of the interactive logic of games to the heart of modern military systems. The skills developed by video games, from cognitive speed to complex data processing, have become part of the equation for operating drones, simulators and digital driving systems.
While the story began with simple games based on roaming and augmented reality, it ended up reshaping the way we think about military training itself, from training based on commands to training based on real-time interaction with highly complex digital systems.
