Iran-Linked Hackers Launch Cyberattack on US Med-Tech Firm Stryker

• Dell reduced its workforce by 10% over the past fiscal year, contributing to nearly 40,000 tech layoffs across Silicon Valley firms in 2026. • The cuts reflect broader cost-cutting measures in the US tech industry amid economic pressures and shifting priorities. • Silicon Valley giants continue significant staff reductions, signaling challenges in sustaining growth post-AI boom.

• OpenAI signed a new contract with Amazon Web Services on March 18, 2026, to provide AI tools to US government customers for both classified and unclassified projects. • The deal, confirmed by AWS, expands OpenAI's federal footprint and offers an alternative procurement path amid tensions with other providers like Anthropic. • This move reduces OpenAI's reliance on single cloud vendors and targets core government sectors including defense and intelligence.

• The U.S. Army Corps of Engineers announced public comment solicitation on Google's proposed data center campus in Botetourt County, Virginia, focusing on effects to local water sources. • The project highlights growing infrastructure demands from tech giants, with Virginia Tech expert Murat Kantarcioglu noting data centers' critical role amid rising cybersecurity risks like potential drone attacks. • This development underscores tensions between tech expansion and environmental concerns in the US, potentially influencing future data center approvals nationwide.

• Hughes Network Systems won a US Air Force Research Laboratory contract under the RAPID program to develop hybrid satellite networks blending military, allied, and commercial systems. • The project explores software-defined networking, AI, and machine learning for resilient communications in contested environments, routing data across space and terrestrial links. • Aimed at improving military connectivity for command centers and tactical forces, it supports broader DoD efforts like Enterprise SATCOM for flexible bandwidth management.

• Uber Technologies announced plans to launch robotaxi services in 28 cities starting next year, driving shares up 4.2% on March 18, 2026. • The expansion marks a major step in autonomous vehicle deployment, building on partnerships with self-driving tech firms amid rising AI integration in mobility. • This development intensifies competition in the US ride-hailing market and could reshape urban transportation, with implications for jobs and infrastructure.

• Nvidia announced at GTC 2026 that it has locked in $1 trillion in orders for its Blackwell and Vera Rubin chips through 2027, far exceeding annual revenue and signaling massive AI infrastructure investment across the industry. • Major hyperscalers including Amazon, Microsoft, and Google have significantly ramped up investments in AI data centers and infrastructure, competing to build massive language models and prepare for exponential growth in AI workloads. • Blackwell chips have already begun shipping while Vera Rubin is positioned to deliver major boosts to AI training and inference performance, addressing the current AI infrastructure race among tech giants.

• DUG Technology Ltd announced settlement of legal proceedings in the United States District Court for the Southern District of Texas involving its subsidiary DownUnder GeoSolutions (America) LLC, reducing the court judgment from approximately $2.1 million to $1.5 million. • The dispute centered on a contested supplier invoice under an energy management services agreement, with both parties agreeing to a settlement and release agreement that resolves all claims including DUG US's counterclaim. • The settlement stipulates that neither party will pursue further legal action and includes a confidentiality provision regarding remaining details, with the supplier required to file a release of judgment upon payment.

• Senators Marsha Blackburn and Peter Welch sent a formal complaint letter to ByteDance CEO demanding the company halt its new AI app Seedance 2.0, citing concerns that it poses a direct threat to American creative industries. • Content creators have documented instances where Seedance replicated expensive film shots for pennies, including a comparison showing the AI generated a near-exact copy of a clip from the film F1 for nine cents, sparking concerns about systemic copyright infringement. • The letter reflects growing Capitol Hill concerns about AI companies' training practices and insufficient protections for content creators whose materials are used to develop AI models without permission.

• Google has expanded its Personal Intelligence feature to all US users after months of limited testing, allowing Gemini AI to access Gmail, Google Photos, and other services for highly personalized responses. • The feature enables Google to compete directly with Microsoft's Copilot and OpenAI's ChatGPT by leveraging user data for context-based AI responses. • Privacy concerns have emerged as the AI increasingly accesses personal information, raising questions about data protection as Google advances its AI integration into flagship products.

• The Center for Technological Responsibility, Reimagination, and Redesign (CNTR) at Brown University has created a new portal to help the public, journalists, researchers, and policymakers understand the complex landscape of AI-related legislation in the United States. • The portal contains 5,000 bills with detailed profiles on 100, created with a framework evaluating policies on transparency, data protection, bias, education, content, and labor. • More than 1,000 AI-related bills have been introduced in the US over the past three years, with the majority of Americans favoring greater AI regulation despite the overwhelming volume of proposals.

• Nvidia has announced plans to achieve $1 trillion in revenue over the next seven quarters, requiring average quarterly revenue of approximately $143 billion, nearly triple current levels. • The company must add around $65 billion in quarterly revenue from current levels, equivalent to Amazon Web Services' or AMD's annual sales each quarter. • Success depends on sustained AI infrastructure demand, increased production capacity, and supply chain optimization, with projections suggesting Nvidia could need to reach $200 billion per quarter by end of 2027.