US Deploys AI in Military Operations Against Iran

• Microsoft Xbox is set to introduce its Gaming Copilot AI assistant to current-generation consoles in 2026, per a GamesRadar report highlighted in tech news roundup. • The AI tool aims to enhance gaming experiences with intelligent assistance features. • This launch positions Xbox competitively in AI-driven gaming innovations amid industry race for smart tech integration.

• US mayors are pushing back against the rapid boom in data centers driven by surging AI demands, citing concerns over energy consumption and local impacts. • The backlash highlights tensions in communities facing infrastructure strain from AI infrastructure growth, as reported by Agence France-Presse on March 15, 2026. • This resistance underscores broader debates on balancing technological advancement with environmental and economic sustainability in the US.

Uber announced a partnership with autonomous vehicle startup Motional to deploy commercial robotaxis in Las Vegas starting this year, marking a major expansion in US self-driving technology. The service will initially operate with safety drivers before progressing to fully driverless rides, integrating with Uber's ride-hailing app for seamless user access. This launch positions Las Vegas as a key testing ground for robotaxi scalability amid competition from Waymo and Cruise. Industry observers anticipate broader US rollouts by 2027 as regulatory hurdles ease under the Trump administration.

America Makes and the National Center for Defense Manufacturing and Machining announced two project calls totaling over $35 million on March 5, 2026, funded by the U.S. Department of Defense to advance manufacturing technologies. The 2026 DOD OIB Modernization Challenge covers nine topics including AI Robotic Process Planning, Real-Time Manufacturing Sensors for Robotics, and In-Situ Quality Checks, aiming to reduce technical risks and enable transition pathways for defense applications. Proposals are due by April 2, 2026, for the OIB Challenge and April 29 for JAQS-SQ Groups 2 & 3, with kickoff webinars held on March 10 and 12. This funding supports U.S. industrial base resilience amid rising geopolitical tensions.

Meta Platforms is evaluating layoffs impacting at least 20% of its nearly 79,000 employees as of December 31, 2025, to counter escalating AI infrastructure expenses, according to a Reuters report on March 14, 2026. Top executives discussed the plans with senior leaders, marking potentially the largest restructuring since 21,000 job cuts in 2022-2023 if implemented. The move aligns with industry trends, as Amazon recently eliminated 30,000 roles citing AI-driven efficiencies. A Meta spokesperson dismissed the report as speculative on theoretical approaches, amid broader tech sector adjustments to AI economics.

The US Department of Justice issued subpoenas to NVIDIA investigating alleged 'loyalty penalties' that deter customers from rival AI hardware makers like Grok and Cerebras. This probe targets NVIDIA's dominance in AI chips, dubbed the 'new oil,' amid warnings that such chips will stay US-based without foreign investment in American manufacturing. The action intensifies semiconductor sovereignty battles, potentially reshaping competition as AI infrastructure surges.

Negotiations between OpenAI and Oracle for expanding a massive datacenter in Abilene, Texas, as part of the $500 billion Stargate project, have stalled due to disagreements on financing and capacity delivery speed. The project aims to secure US AI leadership but faces headwinds in the global compute arms race with over $700 billion in datacenter lease volume, up 340%. Resolution could accelerate American AI infrastructure dominance amid bubble concerns.

NVIDIA announced the Rubin platform, named after astronomer Vera Rubin, marking a shift from Blackwell with extreme co-design across six new chips targeting 1.6nm processes for massive computing power gains. First Rubin systems will launch in the second half of 2026 through AWS, Microsoft, and Google, with Microsoft integrating them into 'Fairwater' AI superfactories. This hardware leap supports edge-centric AI via specialized ASICs, enabling real-time insights, amid rising demand projected over $700 billion in global datacenter leases.

Microsoft is incorporating rack-scale NVIDIA Rubin systems into its 'Fairwater' AI superfactories to power advanced model training starting late 2026. This follows NVIDIA's Rubin unveiling, promising leaps in compute efficiency for cloud-scale AI. The move bolsters US AI infrastructure amid enterprise agent adoption rates surging in datacenters.

The US Commerce Department withdrew a planned rule on artificial-intelligence chip exports on Friday, marking the latest policy reversal by the Trump administration regarding technology trade controls. The withdrawal represents a significant shift in the administration's approach to regulating AI semiconductor exports, which had been a contentious issue affecting companies like Nvidia and other chipmakers. This decision follows earlier statements from administration officials indicating a more flexible stance on AI chip distribution policies compared to previous regulatory frameworks. The reversal signals potential changes in how the US will manage competition with foreign nations in advanced semiconductor and AI technology sectors.

Signal President Meredith Whittaker stated at the India Today Conclave 2026 that the conflict between the US Government and AI companies like Anthropic is far from over, asserting 'I don't actually think that showdown is decided yet.' Whittaker explained that deployment of AI models on government systems creates dependency, and crucially, US law prevents the federal government from collecting the vast amounts of user data that private companies leverage to train AI systems. She noted that the US government lacks legal authority to accumulate such datasets, stating: 'These are not technologies that the state could create. It doesn't matter how much money they have. It is not legal for the US government to collect the kind of data that the private industry can collect.' The remarks reflect ongoing regulatory and operational tensions between government agencies and commercial AI developers.