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Anthropic Tests Claude Money Feature for Financial Data Analysis

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Anthropic is testing a new personal finance capability for its Claude AI, which would allow users to link their bank accounts directly to the platform. The feature, identified as “Claude Money,” was recently observed within the Claude application for iOS.

The new section is designed to help users “understand [their] money” by allowing the AI to analyse spending habits, assist with financial planning, and answer questions regarding personal finances. While the feature has appeared in the mobile app, specific details regarding the rollout, the banking institutions that will be supported, and the connection protocols have not yet been confirmed by Anthropic.

Competition with OpenAI

The development mirrors a similar offering from OpenAI, which provides a “Finances” feature within ChatGPT. OpenAI’s version allows users to connect bank accounts, credit cards, and brokerages via the financial service Plaid. OpenAI has previously stated that it does not use personal financial data to train its artificial intelligence models.

Privacy and Regulatory Implications

The integration of highly sensitive financial data into large language models (LLMs) introduces significant privacy considerations. Because the feature involves the processing of detailed personal financial records, it may face regulatory challenges in regions with stringent data protection laws, such as the European Union.

The exact scope of the rollout and the specific security measures used to protect connected accounts remain unconfirmed as the feature undergoes testing.

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Published: November 2, 2026
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Ikeh James Certified Data Protection Officer (CDPO) | NDPC-Accredited

Ikeh James Ifeanyichukwu is a Certified Data Protection Officer (CDPO) accredited by the Institute of Information Management (IIM) in collaboration with the Nigeria Data Protection Commission (NDPC). With years of experience supporting organizations in data protection compliance, privacy risk management, and NDPA implementation, he is committed to advancing responsible data governance and building digital trust in Africa and beyond. In addition to his privacy and compliance expertise, James is a Certified IT Expert, Data Analyst, and Web Developer, with proven skills in programming, digital marketing, and cybersecurity awareness. He has a background in Statistics (Yabatech) and has earned multiple certifications in Python, PHP, SEO, Digital Marketing, and Information Security from recognized local and international institutions. James has been recognized for his contributions to technology and data protection, including the Best Employee Award at DKIPPI (2021) and the Outstanding Student Award at GIZ/LSETF Skills & Mentorship Training (2019). At Privacy Needle, he leverages his diverse expertise to break down complex data privacy and cybersecurity issues into clear, actionable insights for businesses, professionals, and individuals navigating today’s digital world.

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