In today’s military landscape, modern warfare presents a paradox. The battlefield is brimming with advanced intelligence, yet soldiers often face less time to act on it. For instance, a drone may be identified by one system, categorized by another, followed by a third, and then neutralized by a fourth. While these systems perform as intended, their effectiveness diminishes if they fail to support the soldier who has only seconds to respond. This gap undermines the technological edge of military forces.
The key to success in drone warfare lies at the operator level. It’s not solely about having superior drones or interceptors, but about integrating intelligence and capabilities to empower the soldier. This integration should facilitate split-second decision-making. Despite decades of military advancements in sensing and communication, drone warfare exposes vulnerabilities. Aerial threats can appear with little warning, demanding immediate comprehension and response from the soldier.
The real challenge isn’t the existence of information. It’s ensuring that the soldier comprehends it in time to act effectively. Information superiority doesn’t guarantee decision superiority. Even when surrounded by data, a warfighter can struggle to determine the right course of action. Introducing more data can become overwhelming if each new tool adds complexity.
The focus should now shift to simplifying complexity for the soldier. Developing advanced electronic warfare systems is crucial, but the challenge lies in their integration. Instead of building around individual platforms, systems should be operator-centric. This approach resembles an Iron Dome tailored for the individual, where sensors and defenses converge through a shared coordination layer, simplifying the operator’s view of threats and available options.
Agentic artificial intelligence holds potential in this process. Unlike AI that only analyzes data, agentic systems can orchestrate tasks and tools, processing sensor information, classifying threats, and suggesting defensive actions. This streamlines the operator’s task, eliminating the need to navigate multiple systems.
Machine speed should simplify complexity while keeping humans in charge. Here, the varied experiences of experts underline a crucial principle: battlefield technology should enhance, not overshadow, the operator’s role. Such a system would offer tactical advantages without disrupting command structures, enhancing situational awareness and decision-making, even under adverse conditions.
Battleground AI must function in degraded environments, providing actionable intelligence without relying on distant command or cloud connections. Adversaries could manipulate information or target communication systems, so robustness is essential.
Evaluating counter-drone systems requires more than examining detection range, interception likelihood, accuracy, and cost. Crucially, it involves assessing the time between threat detection and human response. A system that complicates decision-making loses operational value.
AI systems carry inherent risks. Misclassification of threats, failure under unusual circumstances, and excessive reliance on machine outputs present dangers, especially when force is involved. Therefore, the solution isn’t greater autonomy. Human oversight remains necessary. Operators require both situational comprehension and authority, helping them make informed decisions under pressure.
Instead of focusing on technology addition, the question should be how to reduce complexity for warfighters. As drone usage expands, decision-making time diminishes. Sensors and interceptors become ineffective if operators can’t promptly act. Victory in drone warfare hinges on interconnected systems, reduced decision time, and prioritized intelligence—directly with the soldier who depends on it.
Battlefield AI intends not to exclude humans but to grant them an operational edge.
Thomas Payne, a Medal of Honor recipient, served in the U.S. Army with notable actions in Iraq. Cesar R. Hernandez is a Harvard fellow, an MIT Media Lab developer, and an Oxford MBA graduate. Alan M. Cohn, an award-winning journalist, contributes his insights. © 2026 Nexstar Media Inc. All rights reserved. Redistribution permitted only with explicit permission.