AI Styling Studio — Infinite avatar looks from just 1 photo.Try it now.

BestAITools

Submit your Tool

8000+ AI tools already listed
8K+Tools
100K+/moViews
25K+/moVisitors

AI NewsTech workers urge DOD, Congress to withdraw Anthropic label as a supply chain risk

Tech workers urge DOD, Congress to withdraw Anthropic label as a supply chain risk

12:38 AM IST · March 3, 2026

Tech workers urge DOD, Congress to withdraw Anthropic label as a supply chain risk

Hundreds of tech workers have signed anopen letterurging the Department of Defense to withdraw its designation of Anthropic as a “supply chain risk.” The letter also calls on Congress to step in and “examine whether the use of these extraordinary authorities against an American technology company is appropriate.” The letter includes signatories from major technology and venture capital firms including OpenAI, Slack, IBM, Cursor, Salesforce Ventures, and more. It follows adispute between the DOD and Anthropicafter the AI lab last weekrefused to give the militaryunrestricted access to its AI systems. Anthropic’s two red lines in its negotiations with the Pentagon were that it didn’t want its technology to be used for mass surveillance on Americans or to power autonomous weapons that made targeting and firing decisions without a human in the loop. The DOD said it had no plans to do either of those things, but that it didn’t believe it should be limited by the rules of a vendor. After Anthropic CEO Dario Amodei declined to reach an agreement with Defense Secretary Pete Hegseth, President Donald Trump on Friday directed federal agencies to stop using Anthropic’s technology after a six-month transition period. Hegseth than moved to designate Anthropic a supply chain risk — a designation normally reserved for foreign adversaries that would blacklist the AI firm from working with any agency or company that does business with the Pentagon. In apost on Friday, Hegseth wrote: “Effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic.” But a post on X does not automatically make Anthropic a supply chain risk. The government needs to complete a risk assessment and notify Congress before military partners have to cut ties with Anthropic or its products. Anthropic said in ablog postthe destination is both “legally unsound” and that it would “challenge any supply chain risk designation in court.” Many in the industry see the administration’s treatment of Anthropic as harsh and clear retaliation. “When two parties cannot agree on terms, the normal course is to part ways and work with a competitor,” the open letter reads. “This situation sets a dangerous precedent. Punishing an American company for declining to accept changes to a contract sends a clear message to every technology company in America: accept whatever terms the government demands, or face retaliation.” Beyond concern over the government’s harsh treatment of Anthropic, many in the industry are still concerned about potential government overreach and use of AI for nefarious purposes. Boaz Barak, an OpenAI researcher,wrote in a social media poston Monday that blocking governments from using AI to do mass surveillance is also his “personal red line” and “it should be all of ours.” Moments after Trump publicly attacked Anthropic, OpenAI announced it hadreached a dealof its own for its models to be deployed in the DOD’s classified environments. OpenAI CEO Sam Altman said last week that the firm has the same red lines as Anthropic. “If anything good can come out of the events of the last week, it would be if we in the AI industry start treating the issue of using AI for government abuse and surveilling its own people as a catastrophic risk of its own right,” Barak wrote. “We have done a good job of evaluations, mitigations, and processes, for risks such as bioweapons and cyber security. Let’s use similar processes here.”

read more

Latest AI News

View All News →
How AceCloud Plans to Win India's Enterprise AI Market

How AceCloud Plans to Win India's Enterprise AI Market

As Indian enterprises move AI out of sandboxes and into core operations, the case for locally governed infrastructure, built on cost, compliance, and real-time performance, is no longer theoretical.

1 hour ago

View

Cognizant Launches Governance Platform to Manage Agentic AI Risks in Enterprises

Cognizant Launches Governance Platform to Manage Agentic AI Risks in Enterprises

Cognizant has launched Neuro AI Trust, a governance platform that provides real-time monitoring and policy enforcement across AI models and agents.

1 hour ago

View

MeitY Directs WhatsApp to Halt Username Rollout in India

MeitY Directs WhatsApp to Halt Username Rollout in India

WhatsApp said the feature is not yet live and includes safeguards against impersonation, but the government wants further consultations before any launch.

1 hour ago

View

Indian tech tycoon bets $30M of his own money to build AI alternative to Microsoft Office

Indian tech tycoon bets $30M of his own money to build AI alternative to Microsoft Office

Indian serial entrepreneur Bhavin Turakhia is making a $30 million personal bet that there is still room for another enterprise AI company. His new venture,Neo, is built on a simple premise: workplace software designed before the AI era cannot simply be upgraded with chatbots — it has to be redesigned from the ground up. Turakhia, 46, is no stranger to ambitious enterprise technology bets. Over the past two decades, he has co-founded companies including Directi, Radix, Titan, and banking software firm Zeta, largely backing them with his own cash before bringing in outside investors. He’s doing the same with Neo. Turakhia told TechCrunch he is bootstrapping this much money because he believes AI marks a technology shift significant enough to justify rebuilding workplace software from scratch. “If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone,” he said. Launched internally in April this year, Neo is an enterprise work platform that combines project management, documents, file storage, and AI into a single product. The goal, Turakhia said, is to make AI an active participant in day-to-day work rather than just another assistant employees turn to separately. Turakhia argued most incumbents face a structural disadvantage when adding AI to products designed before generative AI. Neo, he said, was designed from the ground up for AI and is model-agnostic, allowing enterprises to switch between AI models rather than being tied to a single provider. He’s not alone in thinking this way. Investor Chamath Palihapitiya initially launched enterprise AI coding venture 8090 with his own capital beforeraising a $135 million funding roundthis week. Still, Turakhia’s bet comes as enterprise AI has emerged as one of the most competitive areas in technology. Microsoft, Google, and Salesforce are embedding AI across their workplace software. Meanwhile every startup from the giant labs like Anthropic and OpenAI, to the productivity companies like Notion and Superhuman are racing to reshape how businesses use AI in their daily workflow. Turakhia argued enterprise software has never been a winner-takes-all market, saying even a small share of global enterprise AI spending would represent a sizeable company. “Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” he said. For the past few months, Neo has been in internal use across Turakhia’s companies, including Zeta. The company plans to begin rolling out the software to mid-sized businesses in the coming months, initially targeting knowledge workers across technology, consulting, and professional services firms. Turakhia said Neo’s initial platform was built in three months, with AI extensively used in the development process, work he estimates would have taken more than a year with a much larger engineering team before generative AI. The Bengaluru-based startup currently employs about 45 people, including 18 engineers. Turakhia told TechCrunch that it expects to grow to around 100 employees by the end of the year, with most new hires focused on AI and software engineering.

5 hours ago

View