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OpenAI Targets Work of Wall Street Junior Bankers

OpenAI launched ChatGPT for Financial Services, a Wall Street-focused version of ChatGPT Work built with Morgan Stanley and Evercore on the company's GPT-6 Astra model, which can research companies, analyze financial data, and build presentations. OpenAI Vice President of Product Nick Turley said the company is "effectively teaching ChatGPT to research like an analyst and back up its conclusions like an analyst as well," a rollout that pushes OpenAI into work traditionally done by junior bankers and analysts as the company prepares for an expected IPO.

by read1 min views2 publishedSep 10, 2026

OpenAI has launched ChatGPT for Financial Services, a Wall Street-focused version of ChatGPT Work developed with Morgan Stanley and Evercore that can research companies, analyze financial data, and build presentations using the company's latest and most advanced model, GPT-6 Astra. "We're effectively teaching ChatGPT to research like an analyst and back up its conclusions like an analyst as well," said OpenAI's Vice President of Product, Nick Turley. CNBC reports: The rollout puts OpenAI deeper into territory traditionally occupied by Wall Street's entry-level bankers, the recent college graduates called analysts and associates that the industry has employed for decades to research deals and create pitchbooks. It also showcases the company's continued push into enterprise offerings as it gears up for what is widely expected to be a blockbuster IPO.

In a live demonstration of the new offering, Turley showed the platform analyzing a potential M&A target, pulling financial figures from industry-standard data sources and creating a formatted PowerPoint deck based on a bank's pre-formatted style guide. "It's very easy to make slides that look good, but it's much harder to make slides [that] actually make sense," Turley said. "To get here, ChatGPT had to choose the relevant peers. It had to pull the prices into a spreadsheet. It had to check the chart against the data, and it had to explain the selloff and the rebound." Read more of this story at Slashdot.

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