How AI is Transforming Finance in 2025: Claude, Citi

AI Meets Finance: The Big Shift in 2025

Artificial intelligence is no longer just a support tool in finance—it’s now a decision-maker. In July 2025, we’re witnessing a pivotal moment where tools like Anthropic’s Claude, Citi’s FX platform, and agentic AI models are reshaping how financial institutions operate.

Claude for Financial Services: AI Analyst on Duty

Anthropic recently unveiled Claude for Financial Services, an AI assistant that merges natural language understanding with financial domain expertise. Integrated with platforms like PitchBook, Morningstar, and Snowflake, Claude can:

• Conduct real-time market research
• Generate due diligence reports
• Automate compliance checks
• Model Excel spreadsheets with 83% accuracy

Claude is already being adopted by major banks including Commonwealth Bank of Australia. The tool reduces analysis time by up to 50%, according to Anthropic’s internal studies.

“Claude is like having a team of analysts at your fingertips.” — Marco Figueroa, Cybersecurity & AI Specialist

Citi & Ant International’s FX Tool: Real-World Savings

Citi Bank has joined forces with Ant International to pilot an AI-powered FX hedging tool. Built using Ant’s Falcon Time-Series Transformer, this solution delivered a 30% cost reduction for a large Asian airline during trials.

Why this matters: FX markets are volatile and expensive. Automating decision-making here means huge savings.

“This isn’t just AI for dashboards. This is AI reducing real financial risk.” — Tom Cole, Head of FX Strategy at Citi

Agentic AI: Beyond Automation

Agentic AI refers to systems that don’t just respond but act autonomously. In 2025, financial firms in the U.S., U.K., and India are experimenting with agentic models for:

• Automated underwriting
• Risk modeling
• Prospectus generation
• Customer service

Goldman Sachs recently revealed they now generate IPO documentation in minutes with agentic models, a task that used to take weeks.

“The analyst’s role is shifting from execution to judgment.” — Sophie Zhang, AI Transformation Lead, Goldman Sachs

???? The Bigger Picture: Jobs, Ethics & Strategy

While AI boosts efficiency, it also brings challenges. Entry-level finance roles are under pressure. Ethical concerns around model bias, data privacy, and decision transparency are also under scrutiny.

Google, OpenAI, and Anthropic have all published AI safety frameworks in 2025, addressing:

• Prompt injection attacks (like those seen in Gmail Gemini)
• Data access restrictions
• Human-in-the-loop oversight

How to Prepare:

• Finance professionals: Upskill in prompt engineering, data analysis, and AI interpretation.
• Firms: Redesign workflows to integrate AI while ensuring compliance.
• Investors: Track AI adoption rates and how they affect cost structure and revenue.

Written by Anish Khan – a tech enthusiast and digital content creator focused on AI trends, gaming rewards, and blogging tools. Anish shares practical guides and updates to help users stay ahead in the digital world.