Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial Services
Joseph Kim, lead of ChatGPT for Financial Services at OpenAI, discusses the engineering and product decisions behind OpenAI's specialized enterprise finance tooling. He explains why bundling reliable financial data proved essential over flaky third-party connectors, how upstream training and plugin architecture enable startups to build on foundation models, and how the team is tackling human taste, review chains, and domain-specific benchmarks.
- OpenAI expects financial AI to shift from entry-level workflows to associate and managing director decisions by 2027. Read →
- OpenAI omitted the GDP eval from the GPT-6 Astra launch because the benchmark was saturated, and the untested portions were broken. Read →
- Joseph Kim, lead of ChatGPT for Financial Services at OpenAI, builds agent safety around existing corporate review hierarchies instead of novel alignment mechanisms. Read →
- OpenAI tested third-party Model Context Protocol (MCP) connectors from prominent data providers and uncovered error rates exceeding 40 percent. Read →
- OpenAI does not train isolated, proprietary models for finance; it feeds financial reasoning data directly into the core foundation model run, dubbed "the big run" (such as runs like 6 Astra or 61 Astra). Read →
- Factual hallucinations in finance are fading rapidly; the real barrier to enterprise adoption is human aesthetic judgment and subjective taste. Read →