At every decisive turning point in the history of warfare, military strategists have established new paradigms that defined their era. If wars of the past were contests of concentrated force, fought over large troop formations, firepower and the physical occupation of territory, warfare in the 21st century is evolving into ultra-high-speed, data-driven conflict, in which the side that judges and strikes first amid a flood of complex information prevails.
Three strategic pillars are driving this vast paradigm shift in future warfare: the OODA loop devised by U.S. military strategist John Boyd, the U.S. Army's Multi-Domain Operations (MDO), and the U.S. Department of Defense's All-Domain Operations (ADO).
The traditional OODA loop — Observe, Orient, Decide, Act — is the concept of paralyzing an enemy's cognitive system by cycling through those four steps faster than the adversary. In the past, what accelerated that cycle was the tactical instinct and intuition of the commander.
In modern warfare, however, the battlefield has expanded explosively beyond the traditional domains of land, sea and air into non-physical domains such as space, cyberspace and the electromagnetic spectrum. Multi-Domain Operations (MDO) emerged to link these multidimensional battlefield assets simultaneously and neutralize an enemy's layered defenses.
The problem is that the volume of heterogeneous data pouring in second by second has already exceeded the limits of human cognitive processing. All-Domain Operations (ADO) emerged to overcome that limit, and the technological embodiment of the concept is the Joint All-Domain Command and Control (JADC2) network.
The combination of artificial intelligence and tactical edge computing is accelerating this shift in the paradigm of war. The next-generation OODA loop is transforming the terrain of the battlefield entirely. In the sensor-to-shooter process, in which a sensor detects a target and passes it to a strike asset, the lag that once took hours or days is now being compressed into seconds or minutes.
1. Observe
Vast volumes of raw data collected by satellites, reconnaissance aircraft and unmanned aerial vehicles (UAVs) are processed into high-resolution target information within seconds by AI computer vision engines.
2. Orient and Decide
AI algorithms immediately calculate the threat priority of each target. They also analyze the destructive effect, range and weather conditions of available manned and unmanned strike assets — warships, fighter jets and missiles — and propose an optimal strike scenario to the commander.
3. Act
Once the commander approves, strike coordinates are transmitted immediately to long-range precision fire systems or autonomous unmanned aircraft.
If the South Korean military is to strengthen deterrence against North Korea and maintain a strategic balance with neighboring countries, it urgently needs a structural overhaul into an intelligent force. Three tasks should be pursued without delay.
First, C4I data across all services must be standardized and consolidated onto a single data platform. Sensor information from the Army, Navy, Air Force and Marine Corps, as well as space and cyber forces, must be integrated into one ontology-based data model.
Building hyperconnected infrastructure must come first, so that video intelligence gathered by an Army drone can be shared in real time with the fire control computers of Air Force fighters or Navy warships without conversion delays. That requires integrating ATCIS, KNCCS, AFCCS and KJCCS, the tactical C4I systems operated by the Army, Navy, Air Force and the Joint Chiefs of Staff.
Second, command and control must shift to a distributed model built on tactical edge computing. A structure that relies solely on a central data center risks a crippling breakdown of the chain of command if the command post is destroyed.
Tactical edge computing nodes should be introduced so that forward brigades or field terminals can receive satellite and drone data themselves and have AI identify targets on the spot. That would give units the survivability to complete an OODA loop independently in the field even when the link to the central server is severed. The U.S. military is already applying distributed command based on tactical edge computing in real operations, including on the battlefield in Ukraine, as a hedge against enemy jamming and network outages.
Third, an acquisition ecosystem is needed that can rapidly bring in advanced commercial technology. Just as the U.S. Department of Defense pursued Project Maven and JADC2 in partnership with defense startups such as Palantir and Anduril, the South Korean military must break from its closed acquisition practices.
Open modular architecture standards should be adopted to create a flexible ecosystem in which the latest commercial AI algorithms or low-earth-orbit satellite communication modules can be installed on weapons systems as quickly as swapping out a mobile phone component.
Victory in future warfare will no longer be decided by the raw number of tanks or fighter jets a country owns. It will depend on which side possesses the data processing system that lets it observe before the enemy, decide a step ahead and strike overwhelmingly across all domains before the enemy is even aware.
Through bold innovation spanning technology, infrastructure and organizational culture, the military must be remade into a data-centered, intelligent force. That is the only way to safeguard national security amid the coming waves of future warfare.
