Articles about Defense Tech

• Tech companies including Palantir, Anthropic, and Anduril are increasingly partnering with the US Department of Defense, marking a significant shift from decades of strained relations between the tech sector and military. • Anduril announced a 10-year, US$20 billion contract with the US military, while Palantir's Maven data analytics platform and Anthropic's AI have been used extensively in operations against Iran, including defense against Shahed drones. • The collaboration represents what investors view as a lucrative opportunity, with traditional military contractors like Lockheed Martin and Boeing now joined by rising tech giants in supplying cloud computing, AI-powered drones, and advanced defense systems.

• The Pentagon transitioned from pilot projects to long-term enterprise contracts with venture-backed defense tech firms, exemplified by deals with Anduril and Palantir totaling billions. • Anduril's contract covers AI-powered drones, autonomous systems, and counter-UAS hardware tied to live missions, setting new benchmarks for manufacturing and delivery. • Steven Simoni of Allen Control Systems called it a 'meaningful signal' that startups must prove operational reliability over prototypes.

• The US Army announced a major enterprise agreement with Anduril, consolidating 120-130 prior orders into a 5-10 year contract worth up to $20 billion for AI drones and detection systems. • The deal shifts Pentagon strategy from pilot programs to long-term fixed-price contracts with select defense tech startups, with an initial $87 million task order issued. • This establishes a benchmark for venture-funded firms, amid tensions with AI companies like Anthropic restricting military use of their models.

• The U.S. Department of Defense designated Quantum and Battlefield Information Dominance (Q-BID) as one of six critical technology areas in November 2025, with the Quantum Applications Program receiving $59.5 million in the FY 2026 National Defense Authorization Act. • Quantum computing, sensing, and networking have advanced at the research level, but substantial gaps remain between laboratory demonstrations and industrial deployment, particularly in miniaturization, durability, and production cost reduction for quantum sensors. • The United States maintains classical computing leadership but faces gaps in quantum-supercomputer deployment compared to international competitors, with Europe and Japan reaching operational quantum-supercomputer deployment stages that U.S. initiatives have not yet achieved.