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Anthropic introduced 10 new AI agents designed to automate routine tasks in finance, such as building models and preparing pitches. The launch coincides with partnerships including a $1.5 billion joint venture and integrations with Microsoft tools. Major banks like JPMorgan and Goldman Sachs are already deploying similar AI technologies.
fortune.comAnthropic announced on Tuesday the launch of 10 new AI agents tailored for financial services, aiming to automate repetitive tasks on Wall Street. The agents handle functions like creating financial models from filings, drafting pitchbooks for client meetings, and conducting market research.
This move positions the company deeper into the finance sector, where it reports that financial services rank as its second-largest industry by enterprise revenue. The announcement came during an invite-only briefing in New York, where Anthropic also unveiled Claude Opus 4.7, described as its most capable model for financial tasks.
Anthropic's CEO Dario Amodei shared the stage with JPMorgan Chase Chairman and CEO Jamie Dimon, discussing AI's impact on markets and the workforce. Dimon recounted using the AI to generate a dashboard on asset swaps and Treasury spreads in just 20 minutes.
Anthropic revealed a $1.5 billion joint venture with private equity firms including Blackstone, Hellman & Friedman, and Goldman Sachs to embed its AI into mid-sized company operations. The venture involves contributions from participants like Apollo Global Management, General Atlantic, and Sequoia Capital.
Anthropic's CFO Krishna Rao stated that enterprise demand for its AI exceeds current delivery models, creating a direct pipeline into private equity portfolios. The company also introduced Microsoft 365 integrations, allowing the AI to operate across Excel, PowerPoint, Word, and Outlook.
Add-ins for the first three became generally available, while Outlook launched in beta. New data connectors were added, including partnerships with Moody's for credit ratings analysis and sources like Verisk, Dun & Bradstreet, and Experian.
“Enterprise demand for Claude is significantly outpacing any single delivery model.”
Major banks have integrated AI tools internally.
JPMorgan, Goldman Sachs, and Morgan Stanley have deployed assistants to summarize research, draft reports, and prepare for meetings. Goldman Sachs CIO Marco Argenti described AI deployment in waves, starting with technology teams and extending to risk and investment decisions.
JPMorgan Chase CIO Lori Beer noted the challenge of organizational absorption of AI capabilities. AIG CEO Peter Zaffino shared that the AI scored 88% accuracy on insurance claims benchmarks, viewing it as a tool for human learning. Anthropic's chief economist Peter McCrory projected AI could add 1.8 percentage points to U.S. labor productivity annually over the next decade.
Startups are competing in this space. One startup, valued at $2 billion and founded by former investment bankers, serves over 250 clients with tools for drafting pitches and building models. Its president emphasized the tools' model-agnostic nature and finance expertise, welcoming improvements in foundational models.
Another startup provides AI platforms for simultaneous queries across datasets to generate company comparisons and documents. A financial services technology consulting leader at EY Americas predicted consolidation around core model providers, with success tied to integration into existing systems.
Anthropic reported 40% of its top 50 customers are in finance, with deployments at firms like Citi, AIG, and Visa. The company's chief commercial officer Paul Smith outlined a 'staircase of autonomy' for AI in finance, evolving from research assistance to senior-level work.
A research product management leader at Anthropic noted finance adoption lags coding by six months to a year but is at an inflection point. Banks have not announced mass AI-related layoffs, though some CEOs mentioned slowing hiring and redeployment plans.
Anthropic's growth has exceeded projections, with one quarter showing 80x annualized revenue increase. The company positions its AI around reliability and safety for enterprise use.
“This is the first time that instead of buying infrastructure, you can actually buy intelligence.”
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