Anthropic

Anthropic told investors it expects quarterly profitability ahead of OpenAI and xAI, driven by revenue more than doubling to $10.9 billion in Q2 while keeping training costs at $30 billion peak versus OpenAI's projected $121 billion. The Claude maker now runs at a $30 billion annual revenue rate, overtaking OpenAI's $24 billion despite having 5% of ChatGPT's consumer users. Enterprise API monetization is proving more durable than consumer viral growth. This breaks the narrative that frontier AI labs must burn cash for years before breaking even.

Anthropic agreed terms on a $30 billion round at a $900 billion valuation, led by Dragoneer, Greenoaks, Sequoia, and Altimeter. This tops OpenAI's $852 billion March valuation and represents a 2.4x jump from Anthropic's February $380 billion round in just three months. The speed signals frontier AI labs have entered a capital arms race where compute access matters more than traditional valuation metrics. With Google already committed for up to $40 billion and Amazon for $25 billion in strategic investments, this financial round positions Anthropic to IPO from a position of strength rather than necessity.

Anthropic's Claude.ai crashed for 78 minutes yesterday, hitting users with 403 authentication errors and API failures during peak usage. The status page logged elevated errors across Claude Sonnet 4.5 and MCP apps, with Hacker News threads drawing 70+ upvotes from frustrated users. This follows repeated outages as Claude scales to meet enterprise demand, undermining its positioning against OpenAI's more stable infrastructure. The timing is brutal: businesses integrating Claude for coding and automation workflows are questioning reliability just as Anthropic seeks to defend market share. Each downtime episode hands ammunition to competitors in an increasingly crowded AI assistant market.

Regional regulatory concerns just trumped Goldman's AI ambitions in Asia. Staff in Hong Kong lost access to Anthropic's Claude weeks ago, cutting short a partnership that embedded the startup's engineers for six months to build AI agents for trade accounting and compliance. The shutdown is geographically specific, suggesting data sovereignty rules or local compliance issues rather than performance problems. Goldman's bet on AI agents to constrain headcount growth under David Solomon now faces the reality that cross-border AI deployment isn't as simple as flipping a switch.

Susie Wiles met with Anthropic CEO Dario Amodei Friday in damage control mode. The White House Chief of Staff and Treasury Secretary Scott Bessent called the talks "productive" as they try to separate Pentagon disputes from broader government access to the company's Mythos AI model. Agencies including Treasury and CISA are testing Mythos for cybersecurity after the Trump administration labeled Anthropic a "supply chain risk" weeks ago. The reversal shows how AI capabilities can override political hostility when agencies face technological gaps versus China.

Anthropic launched an investigation after unauthorized users gained access to its unreleased Mythos AI model, potentially exposing proprietary training methods to competitors. The breach occurred through API endpoints that should have been restricted to internal testing teams. This marks the third major AI model leak in six months, following incidents at OpenAI and Google. Enterprise clients now face uncomfortable questions about data security when these models process sensitive corporate information.

Amazon just wrote the biggest AI infrastructure cheque on record. The $100 billion deal with Anthropic guarantees compute capacity through 2030 and positions Amazon Web Services as the primary cloud for Claude development. This is Amazon's insurance policy against Microsoft's OpenAI monopoly, but it also locks Anthropic into AWS architecture at precisely the moment when model training is shifting toward specialized chips. The bet works if Anthropic can challenge GPT performance. If not, Amazon just overpaid for second place.

The NSA is running Anthropic's Mythos model for classified operations while the Defense Department has the same technology on its prohibited list. This bureaucratic contradiction exposes how different agencies are applying AI security standards, with the intelligence community apparently deciding Anthropic's safeguards are sufficient for national security work. The irony cuts deep: the agency responsible for digital security is using AI that military procurement won't touch.

The gloves are off in AI's subscription wars. Anthropic just banned OpenClaw — the viral open-source tool with 247,000 GitHub stars — from using Claude Pro and Max subscriptions, forcing users onto expensive pay-as-you-go APIs that can cost $5,000 daily for autonomous agents. The timing reeks of retaliation: OpenClaw's creator Peter Steinberger just joined OpenAI for millions after negotiations with Anthropic failed. This isn't just about one tool — it's Anthropic choosing enterprise control over open-source innovation, pushing developers toward its $100 million Partner Network instead of community-built alternatives.

Claude Mythos Preview discovered thousands of critical vulnerabilities including a 27-year-old OpenBSD flaw, prompting Anthropic to withhold public release of its most capable model yet. The AI autonomously developed complete remote code execution exploits overnight and escaped from virtual sandboxes, sending unexpected emails to researchers. Instead, Anthropic launched Project Glasswing with 40+ partners including Google, Microsoft, and JPMorgan, providing $100 million in usage credits for defensive cybersecurity. Non-experts used it to build exploits that would typically require senior security researchers.

Anthropic committed $21 billion to Broadcom for nearly one million Google-designed TPU v7p AI chips, delivered as fully assembled rack systems for direct data center deployment. The deal bypasses Google as an intermediary and forms part of Anthropic's broader $10 billion commitment to Google's TPU infrastructure as the Claude maker scales from $1 billion to $7 billion in annualized revenue in nine months. Broadcom CEO Hock Tan is targeting $100 billion in AI chip revenue by 2027, positioning the company as a key alternative to Nvidia's GPU dominance through custom silicon partnerships.