OpenAI on Thursday unveiled ChatGPT for Financial Services, a specialized version of its enterprise platform designed to automate research, financial analysis and pitchbook generation — tasks long performed by Wall Street entry-level bankers.
The product, built with design partners Morgan Stanley and Evercore, runs on OpenAI's GPT-6 Astra model and features native data access from LSEG, Daloopa, Crunchbase and PitchBook, providing integrated access to financial statements, earnings transcripts and proprietary subscription data. Other finance-specific features include citation links back to source filings, audit-ready chart validation and administrative controls for sensitive deal materials.
During a live demonstration, Nick Turley, OpenAI's vice president of product, showed the platform analyzing a hypothetical M&A target, pulling figures from industry-standard databases and producing a formatted PowerPoint deck aligned to a bank's preconfigured 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 sell-off and the rebound."
The launch deepens OpenAI's commitment to enterprise customers as the company builds toward a widely anticipated initial public offering. Sarah Friar, OpenAI's finance chief, told investors in August that enterprise revenue already surpassed its consumer business. Turley confirmed plans to release tailored versions for additional sectors beyond financial services.
The move directly competes with Anthropic, which launched Claude for Financial Services last year, intensifying a rivalry that also includes Google. When asked whether the tool would reduce hiring of junior bankers, Turley characterized it as a productivity enhancer rather than a headcount reducer, drawing a parallel to Microsoft Excel's historical impact.
"If you study the life of an analyst or of a banker, depending on the industry, they're working 100-hour weeks," he said. "I think in the same way that Microsoft Excel transformed the industry and allowed them to produce better analysis faster, you will see technology like this do the same."
Turley declined to name banks that have adopted the product but described demand as "very strong." However, the tool has reignited debate over AI's impact on Wall Street's apprenticeship model. Chris Churchman, a Goldman Sachs partner overseeing one of the bank's flagship AI initiatives, warned last month that automating research and analysis tasks could cause "cognitive atrophy" in junior bankers who learn reasoning through hands-on deal work.
"Reasoning is still important," Churchman said. "You still need to reason about problems and structure it into an argument, and now we're delegating reasoning."
