Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
OpenAI Launches ChatGPT for Financial Services
September 11, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Wealthtech Investing And Trading, Risk Compliance And Regtech
OpenAI Brings Premium Financial Data Into ChatGPT
On September 10, 2026, OpenAI launched ChatGPT for Financial Services, a version of ChatGPT Work built for finance around GPT-6 Astra, premium financial data, connected firm information and tools for research, modelling and client materials. OpenAI developed the product with Morgan Stanley and Evercore as design partners, starting with investment banking and equity research.
A financial institution no longer has to start with a general AI model and then separately connect every data source, build research workflows and figure out how the output gets into a valuation model, research note or pitchbook. Some of that assembly work now comes inside the product.
That positions ChatGPT closer to the type of work bankers and analysts produce every day. It also puts OpenAI into more direct competition with fintech copilots, research platforms and financial software vendors building similar workflows around third party AI models.
OpenAI Bundles PitchBook, Daloopa and LSEG Data
ChatGPT for Financial Services includes premium datasets from providers such as Daloopa, PitchBook and LSEG News. OpenAI says the available data covers areas including earnings transcripts, financial statements, company fundamentals and private companies. Teams can start using supported datasets that are included without negotiating separate contracts or configuring their own connectors.
The scope still depends on the provider and dataset. PitchBook says users get access to its expanded Essential dataset, including firmographic information on companies, investors and funds. OpenAI's terms also set rules for each provider around timing, storage, copying and reuse.
OpenAI indexes and hosts supported partner data on its own infrastructure so the system can retrieve it faster and attach citations to figures and claims. In finance, analysts need to know where their numbers came from, which period it covers and whether the source supports the conclusion.
There are real limits. OpenAI's Financial Services Terms say data and outputs may be inaccurate, incomplete, delayed or outdated. Daloopa data listed in the terms is delayed by 24 hours, while Nasdaq pricing supplied through Financial Modeling Prep is delayed by at least 15 minutes. Those details become important when the same system is used for research, valuation work and client materials.
For financial data companies, ChatGPT can become another route to institutional users. OpenAI gets licensed data closer to the research workflow, while the provider keeps control over how its underlying information can be copied, exported or reused.
Templates Push ChatGPT Into Analyst Production Work
OpenAI is also going after the work produced after the research. Administrators can publish approved Excel, Word and PowerPoint templates so teams can turn analysis into valuation models, research notes, pitchbooks and other documents in the firm's own format and style.
Investment banking and research teams spend a lot of time getting numbers, commentary and analysis into the right spreadsheet, memo or presentation. If AI can produce that work using approved templates, companies can cut production time without rebuilding the workflow around a separate tool. Morgan Stanley and Evercore helped OpenAI identify those pain points. OpenAI says reliable data access and high quality artifact creation were among the biggest problems raised through the design work. The announcement doesn't say either firm has deployed ChatGPT for Financial Services across its entire organization at this point.
Fintech copilot models that mainly wrap a large language model around research or document creation now face tougher competition. Specialists still have room where they own proprietary data, regulated workflows, execution capability, integrations built for individual institutions or financial expertise that a general platform can't easily reproduce. NCFA recently looked at decision intelligence in financial services which highlights a similar competitive issue. Access to data matters, but the firms creating the most value will be the ones that turn it into better research, decisions and client outcomes.
OpenAI Sets Boundaries Around Advice and Firm Controls
ChatGPT for Financial Services includes enterprise controls such as SAML SSO, SCIM provisioning and access controls by role. OpenAI says business data is not used to train its models by default, data is encrypted at rest and in transit, administrators can configure workspace retention, and supported workspace logs can be exported through its Compliance Platform.
Those controls help firms manage who gets access and what information can be used. They don't make a bank, dealer, investment firm or advisor compliant by themselves. Each institution still has its own obligations around privacy, records, supervision, model risk, client information and material information that isn't public.
See: AI Governance for Canadian Financial Advisors
Its Financial Services Terms say the service provides information and tools for financial research and analysis and that OpenAI does not provide financial or investment advice. Users are told to apply independent professional judgment and check important sources, dates and calculations before relying on the output.
That keeps responsibility with the institution. Citations can make research easier to check and firm templates can make the output easier to use, but someone still has to stand behind the analysis, recommendation or client communication.
Talking Point
OpenAI is making general finance copilots easier to copy and harder to defend. Fintechs will need an edge in proprietary data, regulated execution, deep workflow integration or trusted financial expertise to compete.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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