In partnership with

Welcome to today's edition of AI Business Weekly. Chai Discovery raised $130 million just three months after its last round, Trump launched a 1,000-person Tech Force partnering with Amazon and Microsoft, and ServiceNow closed its Moveworks acquisition while Nvidia secured control of critical workload scheduling software. These stories share one thread: AI is no longer just a technology sector—it's becoming essential infrastructure requiring government mobilization, strategic consolidation, and breakthrough scientific applications. Let's dive in.

OpenAI-Backed Chai Discovery Hits $1.3B Valuation Three Months After Last Round

The AI drug discovery startup raised $130 million in Series B funding at a $1.3 billion valuation, bringing total capital to $225 million. CEO Josh Meier says after years of hype, "this is the year things started working" for AI in pharmaceutical development. The rapid successive funding rounds signal investor confidence that computational drug design has crossed from promising research to functional applications. Read more →

Trump Launches 1,000-Person 'Tech Force' with Amazon, Apple, and Microsoft

The administration unveiled the U.S. Tech Force recruiting approximately 1,000 engineers to build AI infrastructure across federal agencies in collaboration with major tech companies. The initiative embeds private sector talent directly in government operations rather than traditional contracting, potentially accelerating AI adoption but raising questions about conflicts of interest and vendor favoritism. Read more →

ServiceNow Closes Moveworks Deal to Boost Enterprise AI Platform

The $159 billion software giant completed its acquisition of Moveworks, integrating conversational AI workplace assistant technology across its enterprise automation platform. The deal reflects broader consolidation as established software companies acquire AI startups rather than building capabilities internally, with ServiceNow competing against Microsoft's copilots and Salesforce's Einstein AI. Read more →

Nvidia Acquires SchedMD to Control AI Workload Scheduling Software

Nvidia secured ownership of Slurm, the open-source workload manager used across research institutions and enterprises to schedule computing jobs on GPU clusters. The acquisition gives Nvidia control over software infrastructure critical to operating the data centers that power AI development, deepening vertical integration as competition intensifies from AMD, Intel, and cloud providers. Read more →

Mount Sinai AI Predicts Diseases from Genetic Mutations, Not Just Detection

Scientists developed an AI tool that identifies disease-causing genetic mutations and predicts the specific diseases those mutations may trigger, advancing beyond simple variation detection. The breakthrough could transform genetic counseling by providing actionable disease risk assessments rather than uncertain flags, enabling personalized screening protocols and targeted interventions. Read more →

Introducing the first AI-native CRM

Connect your email, and you’ll instantly get a CRM with enriched customer insights and a platform that grows with your business.

With AI at the core, Attio lets you:

  • Prospect and route leads with research agents

  • Get real-time insights during customer calls

  • Build powerful automations for your complex workflows

Join industry leaders like Granola, Taskrabbit, Flatfile and more.

📢 The Signal Behind the Noise

Chai Discovery's $130 million raise three months after its previous round shows AI drug discovery has matured from experimental to investable. Trump's Tech Force signals government recognition that AI competitiveness requires mobilizing talent at scale, not just funding research. ServiceNow's Moveworks acquisition and Nvidia's SchedMD deal reveal the consolidation pattern: established players are buying AI capabilities rather than building them, recognizing that speed matters more than ownership. Mount Sinai's genetic prediction breakthrough demonstrates AI moving beyond efficiency gains into genuine scientific discovery. The pattern across all five stories: AI infrastructure—whether computational, organizational, or scientific—is being rapidly assembled by those who understand it's no longer optional. The question isn't whether to invest in AI capabilities but how quickly you can acquire or build them before competitors establish insurmountable advantages.