Tech
Robotics Firm Says AI-Powered Humanoid Robots Could Carry Weapons by 2027
A U.S. robotics company developing artificial intelligence-powered humanoid robots says weaponised versions of the technology could begin testing as early as next year, following field trials in Ukraine, raising fresh questions about the future of autonomous systems in modern warfare.
Foundation Future Industries, which builds humanoid robots for commercial and military applications, has already tested its Phantom robots in Ukraine in non-combat roles. Chief Executive Officer Sankaet Pathak said the company expects to explore weaponisation after evaluating the results of those pilot programs.
Pathak said public fears are often shaped by science fiction but argued that humanoid robots would not replace existing weapons such as missiles or drones.
“I think we have this psychological reaction, which is like the Terminator, but the reality is not really like that,” he said.
Instead, he believes humanoid robots could be deployed for highly precise military operations where limiting damage to infrastructure and reducing civilian casualties are priorities.
According to Pathak, drones and conventional weapons remain more effective for large-scale attacks, while humanoid robots would be better suited to complex ground missions requiring careful movement through buildings and urban environments.
He added that robots are unlikely to replace drones on the battlefield but could help reduce risks faced by soldiers in increasingly dangerous combat zones.
Currently, there is no international treaty specifically regulating humanoid or autonomous combat robots. Their use falls under existing international humanitarian law, which requires distinction between military targets and civilians during armed conflict.
The issue has drawn increasing attention from the United Nations. Last week, UN Secretary-General António Guterres renewed calls for restrictions on lethal autonomous weapons systems, describing them as “killer robots” capable of selecting and attacking targets without human judgment. The UN has been negotiating a treaty on lethal autonomous weapons since 2023, with proposals calling for a legally binding agreement by 2026.
Pathak argued that humanoid robots should be treated similarly to other precision-guided military systems already in service, including armed drones and unmanned ground vehicles.
Foundation’s robots rely on artificial intelligence built around so-called world models. Unlike large language models that predict text, these systems learn from video, simulations and spatial information to understand physical environments and predict how objects and people move over time.
The company believes these models are essential for creating robots capable of safely navigating complex surroundings.
While concerns persist about advanced AI becoming uncontrollable, Pathak said the greater short-term threat comes from criminals or extremist groups misusing publicly available AI tools for cyberattacks, disinformation campaigns or modifying commercial drones for attacks.
He believes scenarios involving AI independently rewriting its own objectives and improving itself remain several major technological breakthroughs away.
Beyond combat, Foundation sees immediate military uses for its humanoid robots in logistics, reconnaissance and building inspections. Those capabilities have already been evaluated in Ukraine, helping shape the development of the company’s next-generation Phantom 2 robot.
The upgraded model is designed for harsh outdoor conditions, offering waterproof and dustproof protection, an increased payload capacity of around 80 kilograms and greater resistance to impacts.
Foundation currently leases Phantom robots to commercial customers for about $100,000 annually per unit, while military buyers purchase the machines at similar prices. Its investors include Eric Trump, payment company Stripe and venture capital firm Define.
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Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
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