How OpenAI Built ChatGPT for Bankers and Analysts — Joseph Kim, OpenAI
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Joseph Kim leads ChatGPT for Financial Services, which launched a month before this talk with design partners Morgan Stanley and Evercore. He demos the product and explains the "capability overhang": the gap between what models can do and the value people actually get from them at work. He covers why the team licensed and indexed financial data themselves instead of relying on existing MCP connectors, and how firm templates, interactive charts and citation viewers were built on the same ChatGPT plugin platform open to developers. He then looks at where models are headed, the point where a task crosses the "threshold of usefulness," and his three bets for finance in 2027. Chapters: - 00:00 Intro - 01:07 What ChatGPT for Financial Services does - 02:37 Demo - 04:12 The capability overhang - 05:07 What Codex usage taught us - 06:01 Licensing and indexing financial data - 06:59 Firm templates, charts and citations - 07:55 Built on the ChatGPT plugin platform - 09:26 Where models are headed - 12:55 The threshold of usefulness - 14:50 Finance-specific training - 16:49 Proactive, persistent agents - 17:51 Three bets for finance in 2027 Joseph Kim, OpenAI: https://openai.com Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!
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