OpenAI Launches ChatGPT for Financial Services to Assist Wall Street Junior Bankers

OpenAI is targeting some of Wall Street’s most time‑consuming tasks with a new version of ChatGPT that can research companies, crunch financial data, and produce the presentations investment bankers rely on.

The product unveiled Thursday, called ChatGPT for Financial Services, is a tailored version of its enterprise product, ChatGPT Work, that was made with “design partners” Morgan Stanley and Evercore, according to Nick Turley, OpenAI’s vice president of product. It runs on the company’s newest and most powerful model, GPT‑6 Astra.

The launch pushes OpenAI further into the realm traditionally dominated by Wall Street’s entry‑level bankers—recent college graduates known as analysts and associates who have spent decades researching deals and assembling pitchbooks. It also highlights the firm’s ongoing expansion into enterprise services ahead of a much‑anticipated blockbuster IPO.

“We’re essentially training ChatGPT to conduct research and justify its findings the way an analyst would,” Turley remarked during the briefing that introduced the new product.

Over the past year, OpenAI has aggressively pursued business customers in the highly competitive enterprise market, seeking to outmaneuver rivals such as Anthropic and Google. Last year, Anthropic introduced its own Wall Street‑focused offering, Claude for Financial Services.

In August, OpenAI’s finance chief Sarah Friar told investors that the enterprise segment now generates more revenue than the consumer side, which surged after ChatGPT’s debut in 2022.

During the briefing, Turley told reporters that OpenAI intends to launch tailored versions for a variety of sectors beyond finance.

During a live demo, Turley demonstrated how the platform evaluates a prospective M&A target, extracting financial figures from standard industry data sources and generating a polished PowerPoint deck that conforms to a bank’s preset style guide.

“Creating visually appealing slides is straightforward, but crafting slides that truly convey meaning is far more challenging,” Turley noted. “To reach this point, ChatGPT had to identify appropriate peers, import the prices into a spreadsheet, verify the charts against the underlying data, and articulate the reasons behind the sell‑off and subsequent rebound.”

Potential Impact on Banking Jobs

What distinguishes this version from its predecessor, ChatGPT Work, is its native integration with data providers LSEG, Daloopa and PitchBook, which supplies financial statements, earnings transcripts and automated access to customers’ existing data subscriptions.

Additional finance‑focused features comprise citation tools that let users trace data back to original filings and audit charts, plus administrative controls for safeguarding sensitive deal information.

Although Turley acknowledged strong demand for this ChatGPT variant—initially aimed at investment banking and equity research—he refrained from naming the banks that have adopted it.

When CNBC inquired whether the new ChatGPT might lessen the demand for junior bankers at investment firms, Turley positioned the release as an efficiency enhancer that boosts productivity per employee.

“If you examine the workload of an analyst or banker—various by sector—they often log 100‑hour weeks,” Turley observed. “Just as Microsoft Excel revolutionized the field by enabling quicker, superior analysis, I expect this technology to deliver a comparable leap forward.”

Nevertheless, the product raises fundamental questions for an industry founded on a rigorous apprenticeship model. If generative AI can handle multi‑step tasks such as research and pitchbook creation in minutes, Wall Street may need to reconsider how it trains—and how many—future dealmakers it employs.

Last month, Chris Churchman, the Goldman Sachs partner overseeing one of the bank’s flagship AI initiatives, cautioned that automating tasks used to train junior bankers could lead to “cognitive atrophy” among the next wave of financiers.

“Reasoning remains essential,” Churchman said at the time. “You still need to think through problems and build an argument, yet we are now outsourcing that reasoning.”

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