Tech
US Military Cancels Anthropic AI Contract, Turns to OpenAI for Advanced Operations
The US military has ended its contract with Anthropic, the artificial intelligence company behind the Claude chatbot, after the firm refused to remove safety guardrails designed to prevent mass surveillance and autonomous weapon use. The Pentagon has now turned to OpenAI to integrate AI systems in classified operations.
Media reports have revealed that Anthropic’s Claude AI was previously used to support operations targeting leaders in Venezuela and Iran. The chatbot reportedly assisted in a January mission that led to the capture of Venezuelan President Nicolás Maduro and was later deployed during preparations for a planned operation related to Iran’s late supreme leader, Ayatollah Ali Khamenei.
Experts say these cases provide a rare look at how advanced AI is being incorporated into US military planning and intelligence. Heidy Khlaaf, chief AI scientist at the AI Now Institute, described the rapid deployment of these systems as surprising, noting that large language models are prone to producing unreliable or incorrect outputs, which raises concerns in high-stakes environments.
The reported use of Claude aligns with the Trump administration’s push to make the US military “AI-first,” aiming to ensure the United States maintains an edge over global rivals, including China. Various forms of automation and AI have been used by the US military since the 2010s, with previous deployments focusing on logistics, maintenance, and translation services, according to Elke Schwarz, professor of political theory at Queen Mary University of London.
The Pentagon’s AI Acceleration strategy seeks to integrate AI across multiple domains, including cyber and intelligence operations. As part of this effort, a database called genai.mil allows officials to access AI tools, including Google’s Gemini and xAI’s Grok. The 2025 defense budget, dubbed the “Big Beautiful Bill,” allocates hundreds of millions of dollars to AI-related projects, including counter-drone systems, AI ecosystem development, and nuclear security missions.
While Anthropic’s $200 million partnership with the military was intended as a two-year prototype to advance national security and mitigate adversarial AI risks, the company’s refusal to remove guardrails meant the contract was canceled. Claude had been deployed across US government networks, including nuclear labs and intelligence analysis tasks.
The Department of War now faces the challenge of transitioning to OpenAI’s systems. Analysts say the intelligence gathered by Claude will likely remain in use and may be incorporated into new AI tools. Experts also warn that increasing reliance on AI in military operations could raise ethical concerns, particularly regarding the development of autonomous weapons that could select and engage targets without human oversight.
Giorgos Verdi, a policy fellow at the European Council on Foreign Relations, noted that while AI currently assists with tasks such as analyzing satellite imagery, the US military’s push toward fully autonomous systems could escalate conflicts if rival nations adopt similar technology.
The Pentagon is expected to continue experimenting with AI in operations while balancing effectiveness with ethical and legal constraints, marking a pivotal moment in the integration of artificial intelligence into modern warfare.
Tech
Global Rights Groups Call for AI Companies to Be Held Responsible for Children’s Safety
Tech
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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