President Xi Jinping, Kim Jong-un, and Vladimir Putin watched Chinese drones fly autonomously alongside fighter jets during a military parade in Beijing last September. Naturally, military parades are theatrical, but the Washington audience wasn’t interested in the spectacle. After watching that video, Pentagon officials came to the unsettling conclusion that America’s unmanned combat drone program was in jeopardy. Not even a little. behind.
The answer came almost instantly. California-based defense technology startup Anduril finished three months ahead of schedule by speeding up production at its plant outside of Columbus, Ohio. If you walk past that building on any given morning, it probably appears unremarkable: a sizable Midwest industrial facility with workers arriving in pickup trucks and standard manufacturing machinery. The company is developing self-flying drones with artificial intelligence. the type that makes decisions without waiting for a human.
| The Global AI Technology Race — Key Facts & Profile | Details |
|---|---|
| Primary Rivals | United States vs. China — the world’s two largest military and economic powers |
| Other Key Players | Russia, Ukraine, India, Israel, Iran, France, Germany, Britain, Poland |
| Central Technology | Artificial intelligence applied to autonomous weapons, drones, and battlefield decision systems |
| US Defense Company Spotlight | Anduril Industries — California-based startup manufacturing AI-backed autonomous drones |
| Production Location | Factory outside Columbus, Ohio — started three months ahead of schedule |
| China’s 2015 Strategy | “Made in China” plan targeting 70% self-sufficiency in critical technology |
| Russian Autonomous System | Lancet drones — designed to circle and autonomously select targets |
| Historical Parallel | Compared to the dawn of the nuclear weapons age in the 1940s |
| AI Cold War Framework | Technology ecosystem splitting into two spheres: democratic openness vs. state control |
| Key Economic Driver | Semiconductor chips, quantum computing, biotechnology alongside AI as “accelerator technologies” |
| Academic Reference | ResearchGate study: ChatGPT vs. DeepSeek as proxy for US-China AI competition |
| Geopolitical Stakes | Nations must choose which technological sphere to align with — pressure is mounting globally |
This is a close-up view of the global technology war over artificial intelligence. Not Silicon Valley whiteboards or slick server rooms. floors of factories. classified spending plans. Workers observe each other’s production lines to infer capabilities that no one is publicly disclosing. The competition has expanded significantly, with the United States and China at its core. Russia and Ukraine are engaged in a five-year conflict in which both sides are vying for every technological advantage, and France, Germany, Britain, and Poland are rearming with a renewed sense of urgency, in part due to the fact that questions about the United States’ commitment to NATO are no longer theoretical.
The founder of Anduril, Palmer Luckey, put it bluntly in February: the US, China, and Russia are all developing AI weapons as a deterrent and a tool of “mutually assured destruction.” That is a powerful statement. It was first used in a nuclear context during decades when the world’s entire security logic revolved around two superpowers, each of which had the capacity to wipe out civilization. The comparison might be overdrawn. It might not be, too.
The lack of a complete understanding of the future direction of technology is what sets this race apart from earlier arms competitions. The logic behind nuclear weapons was clear: standoff, deterrence, and mass destruction. AI weapons are not the same. They don’t pause, eat, or sleep. When an autonomous system is put into use, it raises concerns about who is truly making decisions because they can process and react at speeds that human cognition cannot match. According to reports, China is working on systems that would allow dozens of drones to coordinate strikes without human intervention. Russia is developing Lancet drones that can autonomously select targets while circling overhead. The number of countries that have transitioned from research and development to actual operational deployment is still unknown, in part due to classified budgets and in part because no one is willing to advertise.
As this develops, it seems as though the geopolitical framing hasn’t kept up with the technical reality. In 2023, Hemant Taneja and Fareed Zakaria referred to it as a “Digital Cold War”—an economic struggle in which global power is increasingly determined by technological capability. Back then, that framing was helpful. It seems almost subtle now. The technology ecosystem is dividing into two separate domains: one centered on individual rights, open systems, and democratic values, and the other on state control and information flow restrictions. There is constant, covert pressure on other countries to take a side. Most are making an effort not to. Narrowing is that option.
Xi Jinping’s 2015 A goal of 70% self-sufficiency in critical technology was set by the Made in China plan. Since then, the US has retaliated with a series of export limitations, chip prohibitions, and requirements for domestic investment. There is no blinking on either side. In some ways, the rivalry between China’s DeepSeek and ChatGPT, two AI platforms based on disparate political presumptions, values, and data, is a civilian mirror of what’s going on in the defense industry. algorithms in competition with one another. Neither side knows for sure who is in the lead. They both agree that it is very important.
