OpenAI targets junior bankers with new ChatGPT tool

### OpenAI Launches ChatGPT for Financial Services, Targeting Wall Street Workflows

OpenAI has introduced a new version of ChatGPT designed specifically for financial-services professionals, expanding artificial intelligence into research, financial analysis and presentation-building tasks.

The product, known as ChatGPT for Financial Services, is aimed at investment banking and equity research teams that handle large amounts of financial data and documents.

OpenAI says the platform can help professionals analyze financial information, conduct research, develop and update financial models, and create outputs supported by citations.

The system can work with materials such as company filings, earnings transcripts, presentations and spreadsheets, allowing financial professionals to bring multiple sources into their workflows.

OpenAI developed the product alongside financial-industry partners including Morgan Stanley and Evercore, as it seeks to adapt its technology to the specific requirements of financial institutions.

The platform can also connect with financial-data providers such as LSEG, Daloopa and PitchBook, enabling users to work with information from services they already use.

The launch marks another step in the automation of work traditionally performed by junior investment bankers and equity research analysts.

For decades, junior bankers have spent significant amounts of time collecting company information, reviewing financial statements, analyzing comparable companies, building models and preparing client presentations.

While much of this work is repetitive, it has also served as an important training ground for young professionals learning how financial transactions and markets operate.

OpenAI is increasingly targeting these workflows through products designed to automate multiple stages of the analyst process.

Its ChatGPT for Excel product, for example, allows financial professionals to create, update and analyze financial models directly within spreadsheets.

OpenAI has also integrated financial information from providers including FactSet, Dow Jones Factiva, LSEG, Daloopa and S&P Global into its broader financial-services ecosystem.

The latest offering aims to take that automation further by allowing ChatGPT to coordinate several research and analytical tasks rather than simply assisting with individual steps.

In one demonstration reported around the launch, the system analyzed a potential acquisition, retrieved relevant financial information and generated a PowerPoint presentation using a bank’s preferred formatting.

The demonstration illustrates the type of workflow OpenAI wants to automate, although it does not independently establish the accuracy or reliability of the system’s financial analysis.

Given the sensitive nature of financial information, OpenAI is also emphasizing safeguards designed for professional and regulated environments.

The company highlights citations that allow users to trace information back to its original sources, along with tools designed to verify charts and other outputs against underlying data.

Enterprise customers can also use administrative, security and access controls intended to protect sensitive organizational information.

The launch comes as major financial institutions increasingly experiment with AI to improve productivity and reduce time spent on manual tasks.

Morgan Stanley has already worked with OpenAI on AI tools for its financial advisers, with OpenAI saying that more than 98% of the firm’s adviser teams actively use its internal AI assistant.

The assistant helps advisers retrieve information from Morgan Stanley’s internal knowledge base and illustrates how financial institutions are incorporating AI into everyday professional work.

OpenAI says its broader financial-services products are being used or evaluated by organizations including Morgan Stanley, BNY, Fidelity International, MUFG and Commonwealth Bank.

As AI becomes increasingly capable of processing lengthy documents, spreadsheets and complex research assignments, adoption across financial services could accelerate.

However, the technology is also raising concerns about the traditional career path for junior investment bankers.

Entry-level employees have historically learned through repetitive assignments such as reviewing filings, checking financial figures, building models and preparing presentation slides.

Although these tasks can be time-consuming, they provide young analysts with practical experience that can eventually prepare them for more complex responsibilities.

If AI takes over a large portion of this work, banks could face a difficult question about how to train future generations of financial professionals.

The concern is part of a broader debate over whether AI will primarily augment employees or eventually replace substantial portions of their responsibilities.

OpenAI argues that its tools can allow financial professionals to spend less time on manual work and more time on analysis, judgment and strategic decision-making.

However, that distinction could become harder to maintain if AI systems become capable of handling increasingly large portions of an analyst’s daily workflow.

For young professionals seeking careers in investment banking, the shift could eventually influence hiring practices, training programs and the number of entry-level positions available.

For OpenAI, financial services also represents an important test of its strategy to develop specialized AI systems for highly regulated and data-intensive industries.

The bigger question for Wall Street may ultimately be not whether AI can perform a junior banker’s tasks, but how much of that work financial institutions will continue to assign to humans.