Anthropic rolls out new AI model aimed at financial research
Days after announcing new legal tools that sent shockwaves through the stock market, Anthropic has unveiled its updated Claude Opus 4.6 AI model, which it says has improved capabilities for financial research. Per Anthropic, the new model is "much better at retrieving relevant information from large sets of documents," such as market reports and regulatory filings. The announcement led to an immediate downturn in shares for financial services firms like FactSet and S&P Global. Anthropic's rival OpenAI also debuted a new enterprise platform earlier on Thursday.
Opus 4.6 is here! This one is especially built for your hardest tasks, navigating larger codebases, deeper planning and reasoning, and expert-level judgment across multiple domains.
For Claude Code users, agent teams are here. Multiple agents working in parallel on the same task. On the API, we're introducing adaptive thinking and context compaction for longer-running tasks. Opus 4.6 is also the first Opus-class model with a 1M token context window (in research preview).
For Claude Code users, agent teams are here. Multiple agents working in parallel on the same task. On the API, we're introducing adaptive thinking and context compaction for longer-running tasks. Opus 4.6 is also the first Opus-class model with a 1M token context window (in research preview).
Anthropic just showed us what's coming, and the market panicked!
Last Friday, they dropped domain-specific plugins for Cowork (sales, marketing, legal, finance). The legal plugin alone wiped $285B off the market caps of Thomson Reuters, RELX, and LegalZoom by Tuesday. The Future of Work is becoming real.
It seems that Anthropic is going from "best model provider" to "workflow automation platform." Contract review, NDA triage, compliance tracking, tasks that millions of professionals do manually every day, now have an agentic AI that can plan, execute, and iterate through them.
For anyone building AI into their company's operations: this is the moment it stops being about chatbots and becomes about digital colleagues who actually do the work. The question isn't whether your workflows get automated, but it's whether you're designing how.