February 15th

Anthropic raised $30 billion in a Series G round led by GIC and Coatue, pushing its post-money valuation to $380 billion. With a reported run-rate revenue of $14 billion—growing 10x annually—this massive capital injection solidifies Anthropic's position as the primary enterprise-focused rival to OpenAI.

SpaceX acquired xAI in an all-stock deal valuing the combined entity at $1.25 trillion, ahead of a planned IPO targeting June. This merger integrates Musk's AI ambitions with orbital infrastructure capabilities, though it has triggered a significant leadership shakeup with half of xAI's founding team departing.

Runway secured $315 million in Series E funding, nearly doubling its valuation to $5.3 billion to build "world models." This investment signals a shift from pure video generation to AI systems that simulate and understand physical environments—a critical step toward general-purpose AI.

Alphabet tapped the debt market to raise over $20 billion, contributing to a projected $600 billion in total capex spending by hyperscalers this year. This historic infrastructure buildout highlights the immense cost required to sustain the next generation of model training and inference.

Spotify reported that its best developers have not written a single line of code since December due to AI adoption, signaling a profound shift in software engineering where high-level architectural oversight is rapidly replacing manual coding as the primary value driver.

Harvard Business Review published a study revealing that AI tools often intensify work rather than reducing it, leading to burnout and blurred work-life boundaries. Contrary to the productivity narrative, employees voluntarily expanded tasks and worked faster, creating a cycle of unsustainable expectations and cognitive fatigue.

IBM is restructuring entry-level hiring to deprioritize coding skills in favor of customer engagement and soft skills, suggesting major enterprises believe technical entry-level roles face imminent obsolescence due to automation.

Microsoft AI CEO Mustafa Suleyman predicted that "most, if not all" white-collar knowledge work could be fully automated within 18 months. While likely aggressive, the statement underscores the industry's intent to move beyond copilots to autonomous agents that replace entire workflows.

OpenAI disbanded its "Mission Alignment" team, which was tasked with ensuring AGI benefits humanity, and reassigned its leader to a "chief futurist" role. This move—following the dissolution of the "Superalignment" team last year—raises further concerns about the prioritization of safety research versus product commercialization.

Anthropic donated $20 million to Public First Action to support AI regulation, including export controls and transparency frameworks, marking a rare instance of a major lab directly funding political action to advocate for government oversight of its own industry.

xAI, OpenAI, and Anthropic saw a wave of high-profile resignations from safety researchers, with one departing Anthropic lead warning that "the world is in peril." These exits suggest a growing rift between the researchers building these systems and the commercial imperatives driving their deployment.

The U.S. Department of Labor released a voluntary AI Literacy Framework to guide workforce training and skill development, representing a light-touch regulatory approach focused on upskilling workers to adapt to AI rather than imposing strict mandates on deployment.

OpenAI launched GPT-5.3-Codex-Spark, a specialized coding model capable of processing over 1,000 tokens per second. This latency-first model is designed for rapid iteration, fundamentally changing the developer experience from waiting for code to real-time collaboration.

Airbnb reported that its AI customer support agent now handles 33% of all tickets in North America without human intervention. CEO Brian Chesky plans to expand this to AI-native interfaces that anticipate user needs, validating the efficacy of agentic AI in high-volume service operations.

ByteDance released Seedance 2.0, a multimodal model capable of generating video, audio, and images from mixed prompts, escalating the generative media arms race and challenging U.S.-based competitors like Runway and OpenAI's Sora.

Uber Eats deployed an AI "Cart Assistant" that converts natural language text or images of handwritten lists into grocery carts, demonstrating the increasing utility of multimodal AI in bridging offline habits with digital commerce.

OpenAI released its first production model powered by Cerebras chips rather than NVIDIA GPUs, leveraging the Wafer Scale Engine 3 for high-speed inference. This is a significant strategic pivot to diversify supply chains and reduce reliance on NVIDIA's hardware dominance.

The U.S. Government imposed a 25% tariff on NVIDIA's H200 AI chips destined for China, escalating the trade war and complicating revenue projections for U.S. chipmakers while accelerating China's drive for domestic semiconductor self-sufficiency.

Siemens and NVIDIA deepened their partnership to utilize AI-native chip design and digital twins for industrial manufacturing, aiming to use AI not just for validation but to actively propose new physical designs—bridging the gap between digital AI and physical industrial production.