Friday, April 10, 2026
Anthropic overtakes OpenAI at $30B run rate
Anthropic just hit a $30B revenue run rate—actually surpassing OpenAI (wild)—while simultaneously releasing their powerful Mythos model exclusively for cybersecurity partners and cutting off third-party agent access to Claude subscriptions. Meanwhile, OpenAI's out here proposing robot taxes and four-day work weeks for the AI economy (bold move), and Meta quietly dropped Muse Spark with multi-agent reasoning capabilities. So Anthropic's winning the revenue race but closing the gates—would you trade growth for control?
Top Stories
Bloomberg
Anthropic's revenue run rate has skyrocketed to $30 billion from $9 billion in just months, driven by surging enterprise demand for Claude, with 1,000+ customers spending over $1 million annually and partnerships with Broadcom and Google supporting its growth.
TechCrunch
Anthropic launched Mythos, its most powerful AI model yet, exclusively for defensive cybersecurity work with major tech partners, claiming it has already discovered thousands of critical zero-day vulnerabilities. The limited release reflects concerns about weaponization while aiming to strengthen critical infrastructure security across the industry.
TechCrunch
OpenAI has proposed a comprehensive economic policy framework for the AI age, including public wealth funds, robot taxes, shifting tax burden from labor to capital, and subsidized four-day workweeks, positioning itself in the debate over how to distribute AI-driven prosperity amid growing concerns about job displacement and wealth concentration.
Meta AI
Meta unveiled Muse Spark, a multimodal reasoning model with multi-agent orchestration that requires 10x less compute than their previous models, marking their first step toward 'personal superintelligence' with applications in health, visual reasoning, and agentic tasks. The model is available at meta.ai with a private API preview for select users.
The Register
Anthropic has restricted Claude subscription use with third-party AI agent tools like OpenClaw due to capacity constraints and system strain, forcing heavy users to pay for extra usage or switch to more expensive API access. The enforcement reflects broader infrastructure challenges as AI demand outpaces datacenter availability.
Keep Reading
Industry Voices
Jiten Behl
Partner at Eclipse
Follow for early-stage AI infrastructure insights from Eclipse's partner investing at the intersection of data systems and foundation models.
Boris Cherny
Head of Claude Code at Anthropic
Follow for insider perspectives on AI-native developer tools and code generation from the team building Claude's coding capabilities.
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