When Drones Stop Flying Alone

Part 3 of a series

When most people think about drones, they picture a single aircraft.

Perhaps it is a photographer capturing a sunset. Maybe it is a hobbyist flying in a local park. A farmer might use one to inspect crops, or a real estate agent might use one to photograph a property.

In each case, the drone is the focus of attention.

But that picture may already be becoming outdated.

The future of drones may involve hundreds, thousands, or even hundreds of thousands of aircraft operating simultaneously. At that point, the challenge is no longer building individual drones. The challenge becomes managing the complexity created when large numbers of drones operate together.

That may prove to be the next major stage of the drone revolution.

Engineers have long understood that complexity often grows faster than capability.

• A better camera is a capability improvement.
• A longer-lasting battery is a capability improvement.
• Even delivering a pizza or package is largely a service improvement.

But once large numbers of drones begin sharing the same airspace, an entirely different problem emerges.

• One drone is relatively simple.
• Ten drones require coordination.
• One hundred drones require automation.
• One thousand drones require sophisticated management systems.
• Hundreds of thousands of drones create an entirely new infrastructure challenge.

The difficulty is no longer flying the aircraft. The difficulty is managing the interactions between them.

This is where many discussions about drones become misleading. The drone itself is only part of the system.

Consider commercial aviation. The aircraft is important, but air travel depends on a vast support network that includes airports, air traffic control systems, weather monitoring, maintenance facilities, communications networks, flight planning systems, and safety regulations.

Something similar may eventually emerge around drones.

Large-scale drone operations will likely require fleet management systems that track aircraft locations, maintenance schedules, battery status, mission assignments, and operating conditions. Communications networks must remain reliable. Navigation systems must remain accurate. Charging and servicing infrastructure must be available. Weather information must be continuously monitored. Airspace must be allocated and managed.

The drone itself may eventually become the least interesting part of the overall system.

One early attempt to address this problem is called UTM, or Unmanned Aircraft System Traffic Management.

Think of it as a partial drone-era cousin of air traffic control, although that comparison can be misleading. Traditional air traffic control relies heavily on centralized control, trained pilots, radio communication, flight plans, radar, and established rules for aircraft separation.

UTM appears to be evolving in a different direction. It is more distributed, more automated, and more dependent on digital coordination among operators, service providers, and government systems.

That makes sense. No one is going to put hundreds of thousands of small drones on voice radio with human air traffic controllers.

But UTM also reveals how much remains unresolved.

Much of the current discussion focuses on drones operating below 400 feet. That may work for many small commercial and recreational uses, but it leaves important questions about the airspace above that level, especially as drones become larger, more capable, and more integrated into commercial logistics.

It also raises the question of personal users. A large delivery company may be able to connect its fleet to a sophisticated traffic management system. A utility company or public safety agency may do the same. But what about the hobbyist flying from a park, the photographer launching from a hillside, or the homeowner using a small drone over private property?

The system may be designed around fleets, but the sky will still contain individuals.

That is why drone traffic management may become one of the most important hidden infrastructure questions of the entire industry. It is not enough to know where one drone is. The system must know where many drones are, where they intend to go, what other aircraft are nearby, what the weather is doing, what restrictions are in place, and what happens when something goes wrong.

The more drones fly together, the less this looks like a gadget problem.

It becomes an airspace problem.

This is also where artificial intelligence begins to enter the picture.

Not because drones suddenly become intelligent machines making independent decisions, but because large systems generate more information than humans can process efficiently.

Questions arise continuously.

• Which drone should respond to a request?
• Which route should it take?
• How should missions be assigned?
• What happens if weather conditions change?
• How should conflicts between multiple aircraft be resolved?

As fleet sizes increase, automation becomes less of a convenience and more of a necessity.

The drone industry itself is also more diverse than many people realize.

Public discussions often describe “the drone industry” as though it were a single market. In reality, it may be better understood as a collection of different ecosystems.

Consumer drones support recreation, photography, and personal projects.

Commercial drones support agriculture, surveying, infrastructure inspection, real estate photography, and package delivery.

Industrial and enterprise drones may support logistics operations, utility companies, remote construction sites, mining operations, offshore facilities, emergency response organizations, and critical infrastructure monitoring.

Looking even further ahead, emerging aircraft such as electric air taxis and other advanced air mobility vehicles may eventually share portions of this same airspace. If that occurs, the challenge becomes even more complex as systems designed for thousands of drones must also accommodate larger passenger-carrying aircraft operating under different safety requirements.

Each application has different requirements, different economics, and different operational challenges.

In some cases, large-scale industrial applications may emerge long before widespread consumer delivery services. A remote industrial site such as off shore oil rigs, arctic outposts, or remote pipeline installations  can often justify investments that would be difficult to support in ordinary residential neighborhoods.

As these systems expand, additional questions begin to appear.

• What happens if communications are interrupted?
• What happens when GPS signals become unreliable?
• What happens when severe weather develops unexpectedly?
• What happens when batteries reach critical levels?
• What happens when multiple fleets from different organizations need access to the same airspace?
• What happens during emergencies?

These questions are not primarily aircraft questions. They are system-management questions.

And system-management questions tend to become more important as complexity increases.

This creates another challenge.

• Capability grows quickly.
• Complexity grows faster.
• Governance, regulations, and public policy struggles to keep up.

History suggests that technology often advances first while institutions struggle to catch up. Drones may follow a similar path.

We already know how to fly a drone.

We are rapidly learning how to operate thousands of drones.

The more difficult question may be how to manage hundreds of thousands operating simultaneously above cities, highways, farms, factories, power lines, and critical infrastructure.

Commercial aviation eventually required air traffic control systems, maintenance standards, flight rules, weather services, and international coordination. As drones stop flying alone and begin operating as large interconnected fleets, they may require their own version of that infrastructure.

The next phase of the drone revolution may not be defined by better aircraft, better cameras, or longer battery life.

It may be defined by our ability to manage the system.

With thousands of airplanes, we built air traffic control.

With hundreds of thousands of drones, what comes next?