For years, the defense community has focused on a single question: Will artificial intelligence replace the human commander?
It is an interesting question, but the war in Ukraine, together with Israel's recent operational experience, demonstrates that it is the wrong one. AI is not replacing people, nor is it replacing commanders. Instead, AI is fundamentally changing how commanders think, decide, and fight.
More importantly, it is redefining the division of labor between humans and machines, transforming both military decision-making and the execution of operations across every echelon of the battlefield.
The revolution is not about a specific algorithm or a breakthrough software application. It is about the fact that modern warfare has become a dynamic system that generates unprecedented volumes of information at a speed and complexity far beyond the processing capacity of the human mind.
For decades, the principal challenge for military organizations was collecting information. Today, the challenge is understanding it before it loses its operational value.
In modern warfare, information has become more valuable than mass alone. The force that sees first, understands first, decides first, and acts first will increasingly hold the decisive advantage.
A careful examination of recent conflicts reveals that we are witnessing not one AI revolution, but two complementary revolutions unfolding simultaneously.
The first is taking place inside command headquarters; the second is occurring at the tactical edge. Both are powered by AI, yet their purposes are fundamentally different.
The first revolution: AI in military headquarters
Modern headquarters face an entirely new operational challenge. The problem is no longer a lack of information; quite the opposite. At every moment, headquarters receive an uninterrupted flow of information from hundreds of sources - unmanned aerial systems, satellites, manned aircraft, radar networks, SIGINT platforms, electronic warfare systems, ground sensors, manoeuvering forces, air and missile defense assets, logistics networks, cyber systems, and command-and-control architectures.
Each source provides only a partial view of reality. The challenge is no longer to collect more information. The challenge is to understand it faster than the battlefield changes.
This is precisely where AI delivers its greatest value: it is not replacing the commander; rather, it is becoming an integral component of the commander's decision environment.
Its primary contribution is not decision-making, but cognitive augmentation. By reducing cognitive overload and compressing decision time, AI enables commanders to focus on the uniquely human aspects of command.
Rather than manually processing thousands of data points, AI continuously filters information, fuses multiple intelligence sources, detects operational patterns, prioritises threats, classifies targets, builds a dynamic Common Operational Picture (COP), and generates courses of action for human consideration.
The commander remains the sole decision-maker. However, that decision is now based upon a richer, more accurate, more current, and more comprehensive understanding of the operational environment.
Command responsibility therefore does not diminish. It becomes even more demanding.
As AI accelerates the flow of information, commanders are required to exercise judgement under increasingly compressed decision cycles while integrating operational, legal, political, and strategic considerations that no algorithm can fully evaluate. In military terms, AI fundamentally compresses the early stages of the OODA Loop - to observe, orient, decide, act.
It dramatically accelerates the processes of observation, information processing, orientation, and situational understanding, allowing commanders to dedicate their attention to the functions that remain inherently human: understanding operational context, balancing competing priorities, assessing risk, managing uncertainty, exercising mission command, and applying professional military judgement.
This is where AI creates decision superiority.
Sensor fusion - from data collection to battlefield understanding
Perhaps the most transformative capability enabled by AI is sensor fusion. No single sensor can provide a complete picture of the battlespace.
A UAV observes one portion of the fight. A satellite captures another. Electronic Warfare systems detect electromagnetic emissions. SIGINT identifies communications activity. Ground forces contribute human observations and operational context. Radar tracks movement. Cyber sensors reveal activity within the digital domain. Individually, each source offers only fragments of reality.
AI transforms these fragments into a coherent operational picture. Rather than simply aggregating data, AI continuously correlates information across multiple domains, identifies relationships between otherwise disconnected observations, highlights anomalies, removes duplication, and produces an integrated understanding of the battlespace.
The result is a fundamental transformation in the role of the headquarters.
It is no longer merely an organization that collects information. It becomes an organization capable of understanding the battlefield in near real time. This shift represents far more than a technological improvement. It is a transformation in the architecture of military command itself. Information superiority no longer depends upon collecting more data.
It depends upon converting data into actionable understanding faster than the enemy can adapt. In future conflicts, the headquarters that can continuously transform information into operational understanding will possess a decisive advantage over one that simply accumulates more sensors.
AI therefore becomes not another command-and-control application, but the cognitive engine that enables modern headquarters to function effectively in an increasingly complex battlespace.
The second revolution: AI at the tactical edge
The tactical edge represents the first operational environment in which AI is no longer supporting human cognition alone. It is increasingly supporting autonomous execution under human command.
If the primary role of AI within military headquarters is to enhance human cognition, its role at the tactical edge is fundamentally different. Here, time is far more limited, and in many cases the decision window is measured in seconds.
A drone that detects a target cannot always wait for approval from higher headquarters. An unmanned ground vehicle operating in a GPS-denied environment cannot stop every time communications are disrupted. An unmanned interceptor engaging a swarm of UAVs cannot transmit every decision back to the command center.
This is where a new division of labor between humans and machines begins. At the tactical edge, AI is already making decisions.
These are not strategic decisions, nor political decisions. They are tactical decisions, local in nature, highly time-sensitive, and driven by operational tempo. AI can navigate without GPS, operate under degraded communications, track targets, identify objects, select routes, perform terminal guidance, intercept threats, and cooperate with other unmanned systems.
Capabilities of this kind are already emerging in Ukraine, Israel, and several advanced Western militaries.
As the pace of combat continues to accelerate, the number of decisions that can no longer wait for human intervention continues to increase. Sensor fusion also plays a central role at the tactical edge, although its purpose is fundamentally different.
Within headquarters, sensor fusion is designed to improve understanding. At the tactical edge, it is designed to improve action. A drone integrating Electro-Optical (EO) sensors, Infrared (IR) imaging, Inertial Navigation Systems (INS), Electronic Warfare (EW) data, radar, and additional sensors is capable of making significantly higher-quality tactical decisions than a platform relying on a single sensor.
This is also where the value of autonomy becomes apparent. Autonomy does not mean replacing humans. The human commander continues to define the mission, operational boundaries, Rules of Engagement (ROE), abort criteria, and the required confidence thresholds.
The machine operates within those predefined parameters. It does not replace human judgement. It executes human intent at a speed that human operators alone can no longer achieve.
From separate layers to a cognitive operational network
There is a natural tendency to view AI in headquarters and AI at the tactical edge as two separate capabilities. In reality, they are not separate at all. They are components of the same operational system.
Headquarters continuously learns from the information generated by manoeuvering forces and unmanned systems. At the same time, tactical systems receive situational awareness, priorities, and objectives from headquarters. Sensors continuously update both echelons in real time; information flows in every direction without interruption.
The result is the emergence of a single cognitive operational network across the battlespace. No longer a traditional hierarchy consisting of "headquarters" and "combat forces," but a single integrated cognitive network.
Within this network, every sensor functions as a neural node. Every platform becomes an operational actuator. Every AI algorithm serves as a processing engine. Every commander becomes part of a larger operational ecosystem in which humans and intelligent machines operate together continuously. This represents a transformation far greater than simply introducing AI into individual platforms. It represents a fundamental transformation in force architecture.
The war in Ukraine, together with Israel's recent operational experience, does not demonstrate that AI is replacing humans. Rather, it demonstrates that AI is transforming the human role. Within headquarters, AI enhances human cognition by compressing information, fusing data from multiple sensors, shortening decision cycles, and creating a richer and more reliable operational picture.
At the tactical edge, AI enables machines to make clearly defined tactical decisions, operate under degraded conditions, share information, navigate, identify targets, and employ combat power at a speed beyond human capability.
These two revolutions, however, represent only an intermediate stage. The ultimate objective is neither an intelligent headquarters nor an intelligent drone. The objective is a Cognitive Operational Network in which headquarters, sensors, unmanned systems, manoeuvering forces, fires, air defense assets, and AI-enabled capabilities operate as a single integrated system that continuously learns, adapts, and evolves in real time.
The future advantage will not belong to the military that possesses the largest number of tanks, nor to the one that fields the greatest number of algorithms. It belongs to the military that succeeds in integrating people, AI, data, sensors, command and control, and doctrine into a single, coherent, resilient, and adaptive operational architecture.
In the future, the central question will no longer be whether humans or machines make decisions. The real question will be how effectively they think, learn, and fight together.