Anthropic Sues Pentagon as AI Reshapes Workforce and Regulation

Nvidia and Thinking Machines Lab announced a landmark multi-year strategic partnership on March 10 that includes a significant Nvidia investment and access to at least one gigawatt of next-generation Vera Rubin chips. The deal gives Mira Murati's two-year-old AI research startup an enormous compute runway, with deployment of the Vera Rubin systems set to begin in 2027. While the exact investment amount was not disclosed, the partnership represents one of the largest compute commitments Nvidia has made to a single startup.

The agreement goes beyond hardware supply, encompassing technical collaboration to optimize Thinking Machines Lab's products specifically for Nvidia's chip architecture. For Murati, who departed OpenAI in 2024 to found the company, the deal cements Thinking Machines Lab as a serious contender in the frontier AI race. The gigawatt-scale commitment signals an operation that could rival the infrastructure of established players.

The partnership underscores how access to cutting-edge chips has become the defining strategic advantage in AI development. With Nvidia's Vera Rubin architecture representing its next major leap in AI computing, early access gives Thinking Machines Lab a head start that competitors funded purely with cash cannot easily replicate.

Atlassian announced on March 11 that it will lay off approximately 1,600 employees — roughly 10% of its workforce — as the 24-year-old software company restructures to become an "AI-first company." CEO Mike Cannon-Brookes stated the cuts are intended to "self-fund further investment in AI and enterprise sales, while strengthening our financial profile." The restructuring will also see CTO Rajeev Rajan step down effective March 31.

The company estimates the restructuring will cost between $225 million and $236 million, including $169-174 million in employee severance and $56-62 million in charges from reducing office space. About 30% of impacted roles — roughly 480 positions — are based in Australia, where Atlassian is headquartered. The restructuring plan is expected to be substantially complete by the end of the company's fourth fiscal quarter.

The layoffs reflect a broader pattern across the tech industry, where companies are cutting traditional roles to redirect capital toward AI development and deployment. Atlassian joins a growing list of established software firms betting that AI-powered features will define the next era of enterprise productivity tools, even as the human cost of these transitions continues to mount.

Meta Platforms has acquired Moltbook, an experimental social network designed exclusively for AI agents, bringing its founders into Meta's Superintelligence Labs (MSL) division led by former Scale AI CEO Alexandr Wang. The deal, expected to close mid-March, will see Moltbook co-founders Matt Schlicht and Ben Parr join MSL starting March 16. Financial terms were not disclosed.

Moltbook launched in late January as what has been described as "Reddit for AI bots" — a platform where AI agents autonomously post, comment, upvote, and downvote content without human intervention. The platform went viral in the tech community, though it also faced scrutiny over security vulnerabilities that were subsequently patched. Schlicht had been developing autonomous AI agent technology since 2023 and positioned Moltbook as an experimental "third space" for agent-to-agent interaction.

The acquisition signals Meta's growing interest in AI agent ecosystems beyond traditional human social networking. By integrating Moltbook's team into its superintelligence research unit, Meta appears to be exploring how networks of AI agents might interact, collaborate, and generate value — a frontier that could reshape how the company thinks about social platforms in an increasingly AI-mediated world.

The U.S. Department of Commerce reached a critical March 11 deadline to publish its evaluation of state artificial intelligence laws that the federal government considers inconsistent with national policy. The report, mandated by a December 2025 executive order titled "Ensuring a National Policy Framework for Artificial Intelligence," identifies state laws that require AI systems to alter or suppress model outputs, impose transparency obligations raising constitutional concerns, or create regulations conflicting with federal innovation goals.

The evaluation focuses particularly on algorithmic discrimination laws, generative AI transparency requirements, regulation of AI-generated political content and deepfakes, and reporting obligations on AI developers. States including Colorado, California, and New York have received particular federal scrutiny. The same executive order established a DOJ AI Litigation Task Force, led by Attorney General Pam Bondi, specifically tasked with challenging state AI laws in federal court on grounds including unconstitutional burdens on interstate commerce.

The report's release creates significant compliance uncertainty for AI companies navigating a patchwork of state regulations. While state laws like California's Transparency in Frontier AI Act and Texas's Responsible AI Governance Act remain enforceable absent court action, the Commerce Department's findings will serve as a roadmap for potential federal preemption efforts — and could even tie access to billions in broadband funding to states withdrawing laws flagged as "onerous."