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OpenAI builds eleven licensed data providers into its finance ChatGPT

OpenAI's financial-services ChatGPT arrives with market data licensed from the vendors banks already pay, and without a published price the buy-or-keep comparison cannot be run. Its own benchmark still misses about three answers in ten.

The Product Desk · Product desk

Illustration accompanying OpenAI builds eleven licensed data providers into its finance ChatGPT

What happened

  • The ChatGPT version OpenAI announced on Thursday for banks and investment firms has licensed market data built in, aimed at valuations, buyer screening, earnings analysis and pitchbook work.
  • It runs on GPT-6 Astra and was developed with Morgan Stanley and Evercore, and OpenAI is selling it to eligible financial institutions without publishing a price.
  • Named data partners include Daloopa, PitchBook, S&P Capital IQ, LSEG, MSCI, Moody's, Dow Jones Factiva, Preqin, Intapp, Datasite and Box, with Reuters available through LSEG.
  • The announcement mentions no EU data residency, no European hosting region and no DORA, the rules that have governed ICT third-party arrangements for EU financial firms since January 2025.

Compiled by The Product DeskSomething wrong?How this is made

Why it matters

  • decision Nobody can size this against existing data spend until OpenAI says whether the feeds require a firm's own subscription, so the call sits with whoever owns the vendor contracts.
  • constraint A 30.1 percent miss rate on the vendor's own document test puts a named reviewer in front of anything client-facing, and that reviewer is headcount the productivity case has to pay for.
  • exposure A European bank that adopts it inherits the compliance work itself, including the provider register entry and an exit plan it can actually execute.
  • precedent If EU supervisors ever designate a model provider as critical, inspection findings would land on every institution that embedded it, so early adopters carry the remediation risk.

The second-year analyst building a leveraged buyout model at 11pm already has a market data terminal open in one tab and a private-markets database in another. OpenAI's version puts those feeds behind a prompt in a single workspace [1]. That is who this is for: the person assembling the deck, not the portfolio manager reading it.

Eleven providers are named [23]. The negotiation behind that list is the expensive part, because permission to use a vendor's data inside another company's product can take time and involve complicated licensing agreements [7]. TNW's read is that the data deals may be more important than the model itself [8].

What a buyer cannot do yet is the arithmetic. OpenAI has not published a price [3]. The reporting also does not say whether the licensed feeds appear for every buyer or only for firms that already subscribe to them [24]. Those two gaps decide whether this is a cheaper front end on data a bank already pays for, or a second bill for the same content.

On the model, the gain on OpenAI's OfficeQA Pro test of financial document analysis is 9.7 percentage points [10]. The figure that governs rollout is the other one: 30.1 percent of the test still comes back wrong [11]. TNW notes that an error there can end up in a valuation model or a client presentation [12].

The controls read like a list written by someone who has sat through a bank vendor review: single sign-on, user provisioning, role-based access, no training on business data by default, encryption at rest and in transit, configurable retention and audit log exports [13]. Information barriers run as separate workspaces, which TNW describes as a practical way of dealing with the Chinese walls investment banks use to keep sensitive information apart [14].

The European picture is thinner. Under DORA the obligations sit with the financial entity: a register of ICT providers, contract terms covering subcontracting and audits, an exit strategy and resilience testing [17]. TNW reports that many European financial firms are still not ready for those requirements [18]. DORA also lets European supervisors designate a technology provider as a critical ICT third-party service provider, and designated firms face direct EU oversight including inspections and recommendations that institutions may have to act on [19]. No AI model provider has been designated under that mechanism [20].

Morgan Stanley helped design the product [2]. Morgan Stanley analysts have also predicted that European banks could lose a fifth of their jobs to AI [21]. The model underneath was released on 3 September with OpenAI's own warning about its cyber capabilities, and ENISA was given access this week to test it [22].

For anyone rolling this out, the decision splits on two answers. The first is whether a feed appears only for firms that already license it; if it does, the comparison is against the seats you can drop, and if it does not, you are paying twice for the same content until a renewal. The second is where the output lands; internal screening and first-pass research can absorb a 30.1 percent miss rate with a spot check, and a client-facing document needs a named reviewer and the hours that costs [11]. A European entity doing client-facing work has the hardest cell of the four, because its register entry and exit plan are due under a regime the announcement does not address [15].

What to watch

  • Whether OpenAI publishes pricing, and whether it is per seat or per institution.
  • Any move by EU supervisors toward designating a model provider as a critical ICT third party.
  • Whether OpenAI adds an EU hosting region or DORA contract terms for European buyers.
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