Tech
US Government Designates Anthropic a Supply Chain Risk, Military Contractors Reconsider Use of Claude
The Trump administration has officially designated artificial intelligence company Anthropic as a supply chain risk, a move that could force government contractors to stop using its AI chatbot, Claude. The Pentagon said Thursday that it informed Anthropic leadership that the company and its products are now considered a supply chain threat, effective immediately.
The decision follows a standoff over Anthropic’s refusal to remove safety guardrails designed to prevent mass surveillance of Americans and the development of fully autonomous weapons. President Donald Trump and Defence Secretary Pete Hegseth had previously accused the company of endangering national security and threatened a series of penalties.
Anthropic CEO Dario Amodei responded that the designation is legally questionable and said the company plans to challenge it in court. He emphasised that the exceptions Claude enforces are limited to high-level use cases, not operational military decisions, and that prior discussions with the Pentagon had focused on maintaining access to Claude while establishing a smooth transition if required.
The Pentagon argued that restricting access to Claude could endanger warfighters. “The military will not allow a vendor to insert itself into the chain of command by restricting the lawful use of a critical capability and put our warfighters at risk,” the department said. Trump has given the military six months to phase out the AI system, which is already embedded across multiple military and national security platforms.
Some defence contractors have already responded. Lockheed Martin said it will follow the Pentagon’s direction and seek other AI providers but does not anticipate major disruptions. Microsoft, whose lawyers studied the scope of the risk designation, said it can continue working with Anthropic on non-defence projects.
The move has drawn criticism from lawmakers and former officials. Senator Kirsten Gillibrand called the designation “a dangerous misuse of a tool meant to address adversary-controlled technology.” A letter signed by former defence and intelligence leaders, including former CIA director Michael Hayden, argued that applying supply chain rules to a domestic company is a “category error” and sets a troubling precedent. The letter stressed that such rules are meant to protect against foreign adversaries, not American innovators operating under the law.
Despite losing some defence contracts, Anthropic has seen a surge in consumer downloads over the past week, with more than a million people signing up for Claude daily. The app has surpassed OpenAI’s ChatGPT and Google’s Gemini in more than 20 countries’ Apple App Store rankings, reflecting public support for the company’s stance.
The dispute has also intensified Anthropic’s rivalry with OpenAI, whose CEO Sam Altman acknowledged that a recent military deal for ChatGPT in classified environments was rushed and required adjustments. Amodei expressed regret over an internal note he sent criticizing OpenAI and the Pentagon’s decision, apologizing for language that suggested the company was punished for not offering “dictator-like praise” to Trump.
The Pentagon’s designation of Anthropic as a supply chain risk marks an unprecedented escalation in the government’s effort to assert control over AI technologies used in national security, highlighting tensions between innovation, ethics, and military priorities.
Tech
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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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