OpenAI targets Wall Street bankers with a new version of ChatGPT
SiliconANGLE Mike Wheatley ● Covered by 3 sources
OpenAI built a ChatGPT version for bankers. It plugs into finance data and could speed up pitchbooks, but it may also squeeze junior work.
Based on reporting by SiliconANGLE, Mike Wheatley — read the original for the full story.
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OpenAI is aiming ChatGPT straight at Wall Street. The company has a new product, ChatGPT for Financial Services, built for analysis, calculations, research and client-facing materials, and it’s wrapped around GPT-6 Astra’s reasoning skills.
The pitch is simple: give banks one tool that can work with financial data and produce the stuff analysts spend their days assembling. Nick Turley, OpenAI’s vice president and head of ChatGPT, said finance is one of the company’s biggest priorities, alongside software engineering and cybersecurity. He also made clear that OpenAI wants this to be more than a nice extra. The goal is for it to become the “one product” large financial firms need.
OpenAI is late. Anthropic already has Claude for Financial Analysis, which arrived in May 2025. But OpenAI is leaning on a different selling point: close work with the people who would actually use it. Turley said he spent time with Morgan Stanley and Evercore Inc. to figure out what a finance-focused chatbot needs, and to make sure the outputs are reliable rather than just flashy in a demo.
Access won’t be casual. Banks need an enterprise subscription first, then they have to apply directly because the product is only for “eligible institutions.” The interface looks a lot like standard ChatGPT, but with finance-specific toggles that let users connect their own data or sources like Bloomberg and FactSet. OpenAI also lists pre-loaded data from Crunchbase, Pitchbook, Daloopa and LSEG News, plus about 50 Model Context Protocol connectors for other data and software.
The product can do more than answer questions. OpenAI says it can build PowerPoint slides, Excel spreadsheets and web dashboards, and even turn a single prompt into an editable model or pitchbook using a firm’s templates. Users can also choose whether the model should use high, medium or low effort, with slower responses consuming more tokens but aiming for better results. Turley’s broader point is that OpenAI wants to change how financial work gets done, not just make the old workflow a bit faster.
My take — AI-written commentary, not fact-checked reporting
This is OpenAI doing the obvious enterprise move: take a powerful model, wrap it in industry jargon, and call it strategy. The real question isn’t whether banks want faster pitchbooks; it’s whether they also want a chatbot quietly sanding down the apprenticeship that made junior banking so brutal in the first place. Silicon Valley loves calling that productivity. Banks may call it staffing efficiency, which is usually the same thing with a nicer haircut.
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