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Anthropic is weighing a $50 billion funding round at a valuation exceeding $900 billion, which would leapfrog OpenAI's $852 billion post-money valuation from earlier this year. Investors have been given a 48-hour allocation deadline, with a board decision expected within two weeks. This could be Anthropic's last private round before a possible October IPO.
The Trump administration is opposing Anthropic's proposal to expand its Mythos cybersecurity model from its initial cohort of roughly 30 organizations to over 100, citing misuse potential and infrastructure risks. Mythos can autonomously discover zero-day vulnerabilities and completed a 32-step simulated corporate network attack end-to-end — and an unauthorized access breach shortly after launch underscored the containment challenge. The standoff marks a significant escalation in government oversight of frontier AI capabilities.
Anthropic now leads global LLM revenue with a 31.4% market share versus OpenAI's 29%, having reached $30 billion in annualized run-rate — up from roughly $1 billion just 15 months ago. The key differentiator: Anthropic generates $16.20 per monthly active user versus OpenAI's $2.20, reflecting its dominant position in the high-end enterprise and developer market. This is the fastest revenue expansion in enterprise software history.
Alphabet, Amazon, Microsoft, Meta, and Oracle collectively reported over $130 billion in Q1 capital expenditures and are projecting up to $700 billion for the full year, nearly doubling 2025 levels. Amazon leads at $200 billion, followed by Alphabet at $175-185 billion. No one knows where the buildout ends — the spending trajectory has tripled in just two years.
Amazon's Q1 net income included $16.8 billion in pre-tax gains from its Anthropic investment — more than half of its pre-tax income for the quarter. Alphabet posted a $36.9 billion equity gain, more than triple its prior peak, driven largely by its Anthropic stake. The numbers raise the question of how much of Big Tech's "AI profits" reflect actual business performance versus paper gains from a single startup's skyrocketing valuation.
OpenAI fell short of its internal goal of 1 billion weekly active ChatGPT users and missed annual revenue targets, according to The Wall Street Journal. CFO Sarah Friar has reportedly warned colleagues that without revenue acceleration, the company could face difficulty funding future compute agreements. Google Gemini's late-year surge and Anthropic's enterprise gains both contributed to the shortfall.
Analyst Ming-Chi Kuo reports OpenAI is developing a custom smartphone chip with Qualcomm and MediaTek, with manufacturer Luxshare co-designing the device. The concept replaces traditional apps with AI agents that maintain continuous context via on-device and cloud models. OpenAI is targeting 300-400 million annual shipments by 2028 — a volume that would rival Apple's iPhone.
ByteDance's Doubao AI model is now embedded in 145 car models across 50+ brands, reaching over 7 million vehicles on the road. Alibaba's Qwen is integrating with BYD, Geely, Li Auto, and six other automakers, enabling voice-driven food ordering, hotel booking, and package tracking from the driver's seat. China's EV competition has shifted from battery range to driver-assist to a full-blown in-cabin AI platform war.
Anthropic's cybersecurity-focused Mythos model identified 271 vulnerabilities in Firefox source code — up from just 22 found by Opus 4.6 in the previous version. Palo Alto Networks reported that Mythos accomplished the equivalent of a year's worth of pentesting in under three weeks. Mozilla noted that no bugs were beyond what an elite human researcher could find — the breakthrough is speed and scale, not capability class.
Snap is cutting roughly 1,000 employees and closing 300+ open roles, with CEO Evan Spiegel citing AI advancements that allow smaller teams to match previous output. The company says AI now generates over 65% of new code, and expects $500 million in annual savings. Snap's stock jumped 7% on the news — a stark illustration of the market rewarding AI-driven workforce reduction.