How AI is transforming defensive capabilities against drones
Written by - Rubin Rothler LLB, LLM
Examples abound in history of how the responses to innovations in technology that disrupted and transformed the nature of warfare have taken a delayed time to be adapted. Chain mail and armour had to be altered and bolstered to repel arrows from the English Longbow in Medieval Europe, but this didn't occur in time to the dismay of the French at Agincourt. It took the Spanish decades to redesign their cumbersome Galleons that lay prey to the swifter English ships. Napoleonic era field tactics were still being employed during the American Civil War, with mass charges mowed down by the Gatling barrel machine gun. Trench warfare was only later embraced during WWI.
With the cheap manufacture of drones and the advances in AI a new chapter has opened in how war is waged in our own time. The conflicts in Ukraine and Iran have demonstrated how asymmetric warfare has become as much an economic calculation as a game of cat and mouse. Drones (and relatively cheaply manufactured ballistic missiles by Iran) are being shot down at great expense. AI which has been extensively deployed for target identification in Gaza is also proving to be a vital tool in hunting incoming drones. But as in the delayed development of military countermeasures historically, drones are ahead of AI in the battlefield. This is reflected in the enormity of Russian military casualties that have fallen victim to Ukrainian drones.
AI is able to cut through the 'background noise' of distracting projectiles, birds and other debris to home in efforts to eliminate the actual drone target. The magic formula is speed and precision. Humans can detect and assess a threat, but AI can process radar, cameras and other sensors almost instantly, and with increasing accuracy predict where a drone intends to strike. When swamped with a wave drone attack, AI acts to identify and track the multiple threats.
AI can also help decide how to respond. Depending on the system, the response could involve electronic warfare, an interceptor drone, a missile or a gun-based system. Ukraine has installed automated machine gun turrets instructed by AI to protect Kiev. In some cases, humans still make the final decision to engage, while AI handles the calculations and tracking required to make that decision quickly.
More broadly, drone warfare is becoming a contest between autonomous systems. The challenge is no longer simply building a better missile or a better drone. It is building a system that can see the threat first, understand it quickly and respond before the drone reaches its target. In that sense, AI is becoming a critical part of air defence. The advantage may increasingly belong to whoever can make the fastest and most accurate decisions—not necessarily whoever manufactures the most expensive weapons. AI's pace of progress is exponential. It is beyond comprehension what capacity could be realized in even the next 2-3 years. The combination of drones, robotics and AI may render the traditional military hardware of tanks, frigates and fighter jets almost functionally obsolete. The development of AI's course of military application will be largely directed by the conflicts where it is deployed.
In the pre-AI world of 1987, the black Friday market crash during the Reagan Administration saw a dangerous drop in the Dow, where computer analysis issued sell orders against a background of Reagan's massive budget deficits. Amidst Reagan's budget deficits this created an environment where social security was looted to fund defence spending. A supposed conservative President ran a fiscal policy with simultaneous increases in the Pentagon budget, coupled with tax cuts. The computer generated sell off was beyond the functional control of brokers and market makers, while the Soviets attempted to engineer market irregularities affecting the American economy which had further global ramifications due to massive American trade deficits with Japan under Reagan. The current Securities exchange environment is at best no less complex now. Given the spectre of what transpired in 1987 with computerised over control of stock exchange trading, and a shadow hanging over the bond market we are left to ponder could another such scenario be triggered in the age of AI? And even more illuminous prospect over shadows us now with the question can AI gain a decision-making operational capacity over command-and-control decisions. Certainly, for tactical weapons systems or even a doomsday scenario with Russia, China, India or Pakistan placing nuclear launch control in the hands of AI that could result in an exchange that either the US, Britain, France or Israel would be forced to react to. Without scaremongering it is necessary for strategic planners to prevent the nuclear powers that be from arriving at the precipice of such an abyss.










