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OpenAI brings ChatGPT to Wall Street 14 months after Anthropic's Claude for financial analysis

OpenAI's finance product was designed with Morgan Stanley and Evercore and is sold only to institutions the company clears in advance. Nick Turley said demand was heavy and would not name a bank that has bought it.

The Investor · Invest desk

Photograph accompanying OpenAI brings ChatGPT to Wall Street 14 months after Anthropic's Claude for financial analysis
Photo: americanbanker.com

What happened

  • OpenAI unveiled ChatGPT for Financial Services on Thursday, a tailored version of its ChatGPT Work enterprise product running GPT-6 Astra and built with design partners Morgan Stanley and Evercore.
  • Access requires a ChatGPT enterprise account and is open only to eligible institutions, which have to speak directly with OpenAI to get cleared.
  • Banks connect their own Bloomberg or FactSet subscriptions alongside pre-loaded Daloopa, PitchBook, Crunchbase and LSEG News feeds, with around 50 connectors in total through MCP.
  • Turley said there was a ton of demand for the product, which is aimed first at investment banking and equity research, and declined to name any bank that has signed on.

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Why it matters

  • constraint Because every buyer has to be cleared in a direct conversation, the pace of adoption is set by how fast OpenAI can process institutions.
  • cost A bank cannot know what a deck costs until an analyst chooses an effort level, which pushes part of the bill from a fixed per-seat licence into a usage line that finance has to forecast.
  • decision Heads of banking now have to size next year's analyst class for the work that remains. The training that work provided is what Lau argues has been automated.
  • contradiction Turley's Excel comparison says output per banker rises while headcount holds; DeStefano and Lau say efficiency improves but judgement stays human. The sources do not agree on whether hiring falls.

A user picks high, medium or low, the higher setting spends more tokens and costs more, and OpenAI says the higher setting can produce a better output [10]. The marginal cost of a deck therefore sits with whoever is building it at two in the morning. Those sample slides took Astra about 10 minutes [11]. OpenAI did not say at which setting.

The data bill stays where it was. A bank plugs in the market data subscriptions it already pays for [9], so what OpenAI adds to the invoice is enterprise seats plus token consumption that OpenAI does not set.

Anthropic debuted a version of Claude for financial analysis in July 2025 [4]. CNBC's report on the OpenAI launch is dated 10 September 2026 [22], about 14 months later [23]. Finance is one of three verticals OpenAI picked, with cybersecurity and software engineering [3], and Turley said tailored products for "a number of sectors" will follow [14].

"This is the canonical product we are hoping the industry adopts," Turley said [5], and OpenAI wants it to be "the one product" a bank with tens of thousands of employees ever needs [6]. Set against that ambition, the disclosure is thin: no price, no seat count, and no customer beyond the two design partners, since Turley said there was "a ton of demand" and then declined to name a bank that had signed [12]. Sarah Friar told investors in August that OpenAI's enterprise business accounted for more revenue than its consumer business [13]. That figure covers every enterprise product the company sells.

Asked whether banks would need fewer junior hires, Turley went to productivity. "If you study the life of an analyst or of a banker, depending on the industry, they're working 100-hour weeks," he said [15], and "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" [16]. A 100-hour week is more than 14 hours a day, seven days a week [24].

Theodora Lau, founder of Unconventional Ventures, told American Banker that "We are removing the ability for the junior bankers to learn what a wrong model looks like" [17] and that "Ten years down the road, you'll end up with managing directors who have never built a model from scratch. That's what apprenticeship is supposed to be for, and it just got automated by OpenAI" [18]. Annie DeStefano, a fintech and banking consultant who previously worked at Goldman Sachs and Silicon Valley Bank, told the same publication she does not see ChatGPT replacing junior analyst work entirely [20].

My read is that the clearance process sets how fast this sells: every buyer arrives through a direct conversation with OpenAI [7], and American Banker said the company did not immediately respond when asked what determines eligibility [8]. DeStefano's counter-argument is that the gate is the product. She said the depth regulated industries require for AI adoption will absolutely require this type of industry-led design partnership [19]. The reading fails if a bank with tens of thousands of employees turns up next quarter with thousands of seats live and a token bill to match.

What to watch

  • A named bank disclosing a seat count or a token spend line for ChatGPT for Financial Services.
  • Whether OpenAI publishes the criteria that make an institution eligible after declining American Banker's question.
  • Which of the two remaining verticals, cybersecurity or software engineering, ships next, and whether Anthropic updates Claude for Financial Services in response.
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