OpenAI launches a ChatGPT built specifically to automate junior banker and analyst work
Built with Morgan Stanley and Evercore as design partners and bundling data from PitchBook, LSEG News, and Crunchbase, ChatGPT for Financial Services targets company research, financial modeling, and pitchbook generation -- the highest-margin junior-analyst labor on Wall Street.
OpenAI launched ChatGPT for Financial Services on September 10, 2026, a vertical enterprise product built on GPT-6 Astra and aimed at investment-banking and equity-research work: company research, financial modeling, and pitchbook or presentation generation. Morgan Stanley and Evercore served as design partners. The product bundles data from Daloopa, PitchBook, LSEG News, and Crunchbase, and ships with SAML SSO, SCIM provisioning, role-based access, and a default no-train-on-business-data policy.
The labor this is actually aimed at
OpenAI VP of Product Nick Turley put the target plainly: "if you study the life of an analyst or banker, they're working 100-hour weeks." That's not incidental framing -- it's a direct statement that this product is scoped at the specific labor that makes junior banking roles infamous, with a Fortune-listed bank as a named co-design partner rather than a hypothetical customer.
A template for what comes next
This is OpenAI's clearest vertical enterprise play yet, and the pattern -- partner with a marquee customer in the target industry, bundle the data sources that industry already pays for, wrap it in enterprise identity/compliance controls -- is a template other verticals will likely see repeated. For this site's audience, it's a direct instance of the question Merit AC exists to answer: whether AI spend on a specific job function is producing real, measurable output, or just automating the appearance of it.