OpenAI unveiled ChatGPT for Financial Services on Thursday, a specialized enterprise tool built with Morgan Stanley and Evercore that automates research, data analysis, and pitchbook creation — work traditionally handled by entry-level Wall Street bankers.
OpenAI on Thursday unveiled ChatGPT for Financial Services, a tailored version of its enterprise product built with design partners Morgan Stanley and Evercore, putting the company in direct competition with the entry-level workforce that has long powered Wall Street's deal machine.
The product is a customized iteration of ChatGPT Work, powered by the company's latest model, GPT-6 Astra, and is designed to research companies, analyze financial data, and produce formatted presentations of the kind that analysts and associates have spent decades generating for investment banks.
"We're effectively teaching ChatGPT to research like an analyst and back up its conclusions like an analyst as well," Nick Turley, OpenAI's Vice President of Product, said during a briefing announcing the product.
What distinguishes the new offering from the underlying ChatGPT Work platform is native data access through LSEG, Daloopa, and PitchBook — sources that supply financial statements and earnings transcripts — as well as automated access to users' existing data subscriptions. The product also includes citation tools that allow users to trace figures back to source filings, audit charts, and administrative controls for managing sensitive deal materials.
In a live demonstration, Turley showed the platform analyzing a potential M&A target, pulling financial figures from industry-standard data sources, and assembling a formatted PowerPoint deck styled to a bank's preexisting template.
"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."
When asked whether the product would reduce demand for junior bankers, Turley framed it as a productivity enhancer rather than a workforce reduction tool, drawing a comparison to the spreadsheet software that transformed the industry decades ago.
"If you study the life of an analyst or of a banker, depending on the industry, they're working 100-hour weeks," Turley 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."
The launch comes as OpenAI faces competition on the same turf from Anthropic, which released its own Claude for Financial Services last year. OpenAI has spent much of the past year racing to build enterprise market share against rivals including Anthropic and Google.
OpenAI's finance chief, Sarah Friar, told investors in August that the company's enterprise business now generates more revenue than its consumer segment, which accelerated following the original launch of ChatGPT in 2022. Turley indicated that sector-specific products beyond financial services are in the pipeline, saying the company plans to release tailored solutions for "a number of sectors."
The rollout adds a new dimension to a broader industry debate about the long-term effects of automation on junior talent pipelines. Last month, Chris Churchman, the Goldman Sachs partner overseeing one of the bank's flagship AI projects, warned that delegating research and reasoning tasks to AI systems risks causing "cognitive atrophy" in the next generation of bankers.
"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."
The product is initially aimed at investment banking and equity research teams. Turley said there was "a ton of demand" for the tool but declined to name financial institutions that have signed on. The launch also signals OpenAI's continued push to build enterprise revenue streams ahead of what analysts broadly anticipate will be a high-profile IPO.
Sara Montes de Oca is the Editor in Chief of TechEchelon. Previously a correspondent and producer in Washington, D.C., covering business, finance, and politics.
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