“Left click, right click”, this is how the AI ​​decides an attack in war. China, Russia and the US need fewer and fewer humans

A group of Google engineers signed an internal letter to protest against a project in which your own software was being used by the Pentagon, sparking an unprecedented debate within the company about how far the technology they had created should go. Since then, almost 10 years have passed, an “eternity” with the implementation of AI.

The war accelerates… without humans. They counted last week in The New York Times that modern warfare is entering a phase in which human intervention is no longer the center of decision-making, but rather an almost symbolic step within processes dominated by algorithmswhere artificial intelligence systems identify targets, recommend attacks and generate complete plans in a matter of seconds.

Programs like Project Maventoday developed by Palantir and integrated with models like Anthropic’sshow the extent to which the decision chain has been compressed: satellite images, drone data and intercepted signals are automatically processed to generate target lists and attack solutions, reducing human intervention to something as simple as selecting options on the screen, in the words of Pentagon officialsit is as simple as clicking “Left click, right click”.

Powers in the same race. Because at the center of this transformation are the United States, China and Russia, competing to lead a new arms race based on autonomous systems capable of operating without direct intervention. In China, for example, the development of coordinated drone swarms by artificial intelligence and capable platforms to operate alongside fighters manned reflects a commitment to scale and automation.

Meanwhile, in Russia they are betting on systems like the Lancet droneswhich evolve towards capabilitiesand autonomous selection of objectives. For its part, the United States is trying to close the gap by encouraging companies like Anduril to speed up production of autonomous drones, in a race where the speed of development is almost as important as the technology itself.

Ukraine as a turning point. How have we been countingthe war in Ukraine has been the turning point that has turned these technologies on real tools combat, demonstrating that relatively simple systems can evolve rapidly towards semi-autonomous capabilities and changing the balance on the battlefield.

Adapted commercial drones, unmanned vessels and data analysis systems have allowed resist a superior adversary, while Russia has responded incorporating automation progressive in their own systems. As pointed out analyst Michael Horowitz, “the battlefield in Ukraine has served as a laboratory for the world,” accelerating a transition that is no longer experimental, but operational.

Silicon Valley at war. Unlike previous arms races, the Times I remembered that the role does not fall solely on the States, but also in technology companies and start-ups that are redefining military development.

Here are companies like Google that initially participated in projects like Maven before withdrawing due to internal pressures, while others like Palantir or Anduril have occupied that space with a more vision aligned with the defense. In China, the “civil-military fusion” model directly integrates to private companies in the development of military systems, while in the West attempts are made to replicate that dynamism with million-dollar investments and growing collaboration between Silicon Valley and the Pentagon.

Algorithms against algorithms. The result is a form of war in which the confrontation is no longer only between armies, but between automated systems that operate at speeds impossible for humans, a scenario that we have counted where drones launch drones to take on other drones and sensor networks connect globally to execute real time attacks.

Projects like the Chinese attempt to replicate networks similar to the Joint Fires Network American forces reflect this trend toward an interconnected war, one where a sensor at one point on the planet can trigger an attack on another without direct intervention. At this point, superiority no longer depends solely on the quality of weapons, but on the ability to integrate data, process it and act faster than the adversary.

Uncontrolled speed. There is no doubt, this acceleration carries risks that worry even those who pushed these systems, as automation can trigger military responses before humans can intervene or fully understand the situation. Studies such as that of RAND Corporationworks that have shown scenarios in which autonomous systems inadvertently escalate conflicts, while experts warn of a possible “escalation spiral” driven by the decision speed of machines.

As recognized General Jack Shanahan, promoter of Maven, the reality is that there is a danger of deploying “untested, insecure and poorly understood” systems in a context of competition where each actor fears being left behind.

Less humans, more automation. Thus, the panorama that is drawn is that of a war every time more automatedwhere human intervention is progressively reduced and critical decisions are delegated in artificial intelligence systems capable of analyzing, deciding and acting in seconds, something very different which is do it “well”.

From autonomous drones to target analysis platforms, through global combat networks, the trend seems clear, that of a war of the immediate future that will be decided less in offices and more in algorithmsin an unstable and certainly chilling balance, because we are talking about technological speed being on track to surpass the human capacity to control it in the middle of a war.

Image | StockVault, Infinity 0

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