Buying More Drones Is Not Enough
Training Is the Real Bottleneck of the Mass-Drone Era
The global drone race has entered a new phase.
The question is no longer how many advanced unmanned aircraft a military should acquire. Governments are now preparing to manufacture and deploy drones by the tens of thousands, train operators by the hundreds of thousands, and build defenses capable of responding to large-scale, low-cost drone attacks.
NATO’s newly announced Drone Edge initiative reflects this shift. Allies plan to invest more than USD 40 billion in counter-drone capabilities over the next five years, train five times as many military drone operators by the end of 2027, and establish a marketplace for NATO-tested and NATO-compatible counter-drone systems.
South Korea is moving in the same direction. The Ministry of National Defense has announced a policy to train approximately 500,000 military personnel in drone operations and introduce around 60,000 domestically produced training drones, beginning with roughly 11,000 units in 2026. The objective is to make drones a basic operational tool used across the armed forces rather than a specialized capability limited to a small number of units.
Europe is also strengthening the connection between battlefield experience and industrial capacity. In July 2026, the European Commission officially launched the EU–Ukraine Drone Alliance, bringing together manufacturers, innovators, end users, and public institutions to develop scalable drone and counter-drone ecosystems. The initiative is intended to connect research, production, testing, and continuous technological development with lessons learned from Ukraine.
These developments raise a critical question:
After acquiring tens of thousands of drones and identifying hundreds of thousands of potential operators, how do we turn them into an effective operational force?
Buying drones and building drone readiness are not the same thing.
Mass Procurement Does Not Automatically Create Combat Power
Drones can often be manufactured, modified, and fielded faster than conventional weapon systems.
Commercial technologies can be adapted for reconnaissance, communications relay, target acquisition, electronic warfare, precision attack, and battlefield logistics. Software, sensors, payloads, and control systems can also be updated rapidly.
Human capability develops more slowly.
A drone operator must learn much more than takeoff, navigation, and landing.
During a reconnaissance mission, the operator must interpret terrain, distinguish relevant activity from background movement, identify potential targets, and communicate useful information through the chain of command.
An FPV operator must approach a target while accounting for obstacles, wind, limited battery life, signal degradation, electronic interference, and defensive countermeasures.
A counter-drone team faces an even more complex challenge.
It must determine whether an object is a hostile drone, a friendly platform, a civilian aircraft, or an environmental anomaly. The team may need to assess whether the drone is conducting surveillance, carrying a payload, guiding another weapon, or acting as a decoy.
All of this must happen under time pressure.
The value of a drone force is therefore determined not only by the number of platforms it owns, but also by its ability to answer several operational questions:
- How quickly can large numbers of personnel be trained?
- Can units repeatedly practise against different threats and mission conditions?
- Can training progress from individual control skills to team-level operations?
- Can commanders, operators, sensors, and effectors work together?
- Can performance be measured objectively?
- Can training programmes adapt as drone technology and tactics change?
In the mass-drone era, the most serious bottleneck may not be the production line.
It may be the training infrastructure.
There Is No Single Answer to the Counter-Drone Problem
The rapid expansion of drone threats has accelerated the development of jammers, high-power microwave systems, lasers, interceptor drones, guided missiles, automatic weapons, shotguns, net-based systems, and other countermeasures.
However, no single technology can defeat every drone threat.
Electronic jamming may be effective against drones that depend on radio-frequency control or satellite navigation. Its effectiveness may be limited against autonomous systems, pre-programmed flight paths, alternative navigation methods, or fibre-optic-controlled drones.
Directed-energy systems may reduce the cost per engagement, but their performance can depend on weather, visibility, line of sight, power supply, and dwell time.
Small arms and shotguns may provide a final defensive layer at close range, but they introduce challenges involving accuracy, engagement distance, falling projectiles, and the safety of surrounding personnel.
High-end interceptors may be highly capable, but repeatedly using expensive missiles against inexpensive drones creates an unsustainable cost exchange.
This economic imbalance is driving new approaches. MBDA recently unveiled its Counter Mass Interceptor, designed to provide a more scalable response to waves of low-cost drones and other mass-produced threats. The concept reflects the growing need for interceptors that can be manufactured and deployed in much larger quantities than traditional high-end air-defense missiles.
The important lesson is not that one new interceptor will solve the drone problem.
The lesson is that effective counter-drone defense must be layered.
A realistic defensive sequence may involve:
Detection → Identification → Decision → Disruption → Defeat → Assessment
Sensors detect an object. Additional information helps classify the threat. A command element determines whether action is required and authorized. Electronic or physical countermeasures are selected according to the situation. If one layer fails, another must follow.
Technology is only part of this process.
The rest depends on people, procedures, communication, authorities, and repeated training.
Counter-Drone Readiness Is Primarily a Procedural Challenge
The U.S. Department of Defense’s 2026 handbook, Small Drones, Big Problems: A First Principles Approach to Countering-UAS, presents drone protection through four operational actions — detect, deny, disrupt, and defeat — all supported by a fifth principle: discipline.
Discipline determines whether the other elements work when a real threat appears.
A sensor may detect an object, but operators must know what the signal means.
A jammer may be available, but the team must know who is authorized to activate it and under which conditions.
A weapon may be capable of engaging the drone, but the unit must consider rules of engagement, friendly forces, civilians, infrastructure, and the consequences of a failed intercept.
A command center may receive multiple data feeds, but every additional handoff, screen, and approval step can consume valuable seconds.
The handbook emphasizes that protection against drones requires clear authority, established reporting procedures, rehearsals, battle drills, and an understanding of how information moves after a threat is detected. It also notes that defenders may have only seconds — not minutes — to respond.
This means that counter-drone capability is not simply the ability to operate a device.
It is the ability to execute a coordinated process under uncertainty.
Who detects the threat?
Who confirms it?
Who reports it?
Who decides?
Who activates the countermeasure?
What happens if communications fail?
What happens if the first response does not work?
These questions cannot be answered for the first time during an actual attack.
The answers must already exist in the form of trained procedures.
Drone Operators and Counter-Drone Teams Must Train Together
Traditional drone training has often focused on individual piloting skills.
Takeoff, landing, route navigation, obstacle avoidance, camera control, and basic mission execution remain essential. However, operational environments are competitive.
Drone operators and counter-drone defenders continuously react to one another.
An attacking drone team may change its altitude, route, approach angle, or control method to avoid detection. It may use several drones from different directions, combine reconnaissance with attack, or send decoys ahead of the main threat.
A defensive team must interpret flight patterns, prioritize targets, distribute limited countermeasures, and protect friendly and civilian assets.
This creates the need for a new training model:
Drone forces and counter-drone forces should train against each other inside the same operational environment.
In this type of mutual training, drone operators may conduct reconnaissance, FPV attack, payload delivery, relay, or drone-on-drone missions.
Counter-drone personnel may receive alerts from detection systems and respond with electronic warfare equipment, interceptor systems, firearms-based devices, passive protection, or other available tools.
The attacking team should be free to change its tactics.
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The defending team should then be required to adapt.
Each repetition can modify the number of drones, their direction of approach, weather conditions, terrain, visibility, communication quality, mission priorities, and rules of engagement.
This is more valuable than repeatedly engaging predictable targets moving along predetermined paths.
It teaches both sides to observe, decide, communicate, and adapt.
Five Requirements for Scalable Drone Training
A training system designed for the mass-drone era should meet five conditions.
1. It must reproduce diverse threats
Training should progress from a single reconnaissance drone to FPV attacks, loitering munitions, payload-dropping drones, coordinated formations, multi-axis attacks, and swarm-like scenarios.
Personnel should not become proficient only against one platform or one predictable flight profile.
2. It must reflect terrain and environmental conditions
Urban areas, mountains, coastlines, military bases, energy facilities, transportation infrastructure, and open terrain create different tactical challenges.
Time of day, visibility, rain, fog, wind, signal interference, and electromagnetic conditions should also affect the exercise.
3. It should integrate representative operational equipment
Generic gaming controllers can help teach basic concepts, but advanced training should incorporate representative drone controllers, head-mounted displays, detection equipment, jammers, weapon replicas, and command interfaces.
The closer the interaction is to the real operational workflow, the easier it becomes to transfer learned skills to live training.
4. It must support team-level training
Drone operations and counter-drone defense are rarely individual activities.
Operators, observers, detection personnel, electronic warfare specialists, shooters, commanders, and supporting units must share information and act as a team.
Training should evaluate not only whether the threat was stopped, but also how the team reached its decision.
5. It must produce measurable data
Flight paths, detection times, reaction times, equipment selection, target prioritization, communication delays, engagement decisions, and final outcomes should be recorded.
Without data, an exercise ends with a simple result: success or failure.
With data, instructors can identify why the result occurred, compare trainees, detect recurring weaknesses, and design the next exercise accordingly.
Simulation Does Not Replace Live Training
One of the most common misunderstandings about simulation is that it is intended to replace real flight operations or field exercises.
It is not.
Simulation should make live training safer, more focused, more measurable, and more effective.
Live training remains essential.
Operators must experience the weight and handling of actual equipment, real battery management, weather, communication range, maintenance requirements, field pressure, and the physical consequences of operational decisions.
But it is difficult to reproduce every necessary situation through live training alone.
A large-scale multi-drone attack requires airspace, equipment, safety personnel, regulatory coordination, and considerable cost. Repeated crashes may damage aircraft. Electronic jamming may be restricted. Kinetic countermeasures cannot be freely used near populated areas or critical infrastructure.
Simulation can help close these gaps.
It can allow trainees to practise basic procedures before entering the field. It can reproduce night operations, bad weather, signal loss, multi-axis attacks, and complex team interactions without exposing personnel or equipment to unnecessary risk.
It can also present the same scenario to multiple trainees, creating a consistent basis for evaluation.
The U.S. counter-drone handbook specifically recommends using simulations to replicate drone behavior before range exercises and calls for drones to be incorporated routinely into field and live-fire training.
An effective training cycle should therefore connect simulation and live exercises:
Simulation-based preparation → Live equipment training → Performance analysis → Corrective simulation → Advanced field exercise
Virtual and live training should not compete.
They should reinforce one another.
Training Infrastructure Is Becoming a Defense Capability
At ZIWOO Information & Technology, we do not view drone simulation as a standalone pilot-training tool.
We see it as part of an integrated virtual training environment connecting drone operators, counter-drone personnel, commanders, equipment, operational scenarios, and after-action data.
A digital battlefield should allow reconnaissance, FPV attack, drone-on-drone engagement, detection, jamming, and physical countermeasures to be trained within the same environment.
Representative controllers, head-mounted displays, detectors, jammers, and weapon-type training devices can be connected to the virtual scenario.
After the exercise, instructors should be able to review flight paths, detection points, reaction times, equipment choices, aiming behavior, communications, and engagement decisions.
The objective is not simply to determine who won.
The objective is to understand why.
In the future, generative AI may further expand this approach by producing adaptive threat scenarios based on trainee performance, environmental conditions, and changing battlefield tactics.
AI-assisted evaluation may also help identify behavioral patterns and automatically recommend follow-up training.
The larger strategic point is not about promoting one particular piece of equipment.
It is about building a training platform that can evolve as quickly as drone technology itself.
A military cannot construct an entirely new physical training site whenever a new drone, sensor, jammer, or operating method appears.
Software-based training environments, however, can be updated with new platforms, terrain, mission conditions, and threat behaviors.
That adaptability may become one of the most important defense capabilities of the mass-drone era.
The Next Drone Race Will Be a Race to Adapt
Drone technology evolves quickly.
A new battlefield tactic may appear, spread through operational units, and trigger a technical countermeasure within weeks or months.
Soon after, another method is developed to bypass that defense.
In this environment, a one-time training course cannot provide lasting readiness.
Drone forces must continually learn, test, measure, and adapt.
Future capability will not be defined only by how many drones a country possesses.
It will depend on how many people it can train, how many operational conditions it can reproduce, how accurately it can evaluate performance, and how quickly it can incorporate new threats into its training system.
The country that buys the most drones will not necessarily build the strongest drone force.
The advantage will belong to the organization that can train more people, test more scenarios, learn from more data, and adapt faster than the threat.
The drone race is becoming a training race.
And training infrastructure is becoming a decisive form of defense capability.
References
- NATO. (2026, July 7). NATO’s Drone Edge. North Atlantic Treaty Organization.
- Ministry of National Defense, Republic of Korea. (2026, June 26). Ministry of National Defense Announces the Drone and Counter-Drone Development Policy.
- European Commission, Directorate-General for Defence Industry and Space. (2026, July 17). Commission Launches EU-Ukraine Drone Alliance to Boost Drone and Counter-Drone Technology.
- Joint Interagency Task Force 401. (2026, June 18). Small Drones, Big Problems: A First Principles Approach to Countering-UAS.
- Paulsen, D. (2025, August). Counter-Unmanned Aerial Systems (C-UAS) Training and Implementation at the National Training Center (CALL Publication №25–1093). U.S. Army Center for Army Lessons Learned.
- Loeve, F. (2026, July 20). “MBDA Unveils Interceptor to Counter Mass Drone Attacks.” Reuters.
