OpenAI and Anthropic outline safety frameworks for financial agents
Joseph Kim, head of ChatGPT for Financial Services at OpenAI, opened the AI Engineer New York conference by describing a “threshold of usefulness” – the point where a model becomes reliable enough to save time. He predicted that by 2027 agents will handle investment idea generation and trading, and that traceability will improve as models can show where numbers originate within the ChatGPT for…
Key points
- OpenAI’s Joseph Kim said agents could handle investment idea generation and trading by 2027, emphasizing a “threshold of usefulness.”
- Two Sigma’s John Feminella outlined five composable guardrails, including auto‑mode classifiers, to cut approval fatigue while preserving agent safety.
- Anthropic launched Claude for Financial Advisors and a three‑step trust layer—identity, sandbox, and ongoing validation—for financial agents.
Two Sigma’s SVP of Architecture, John Feminella, presented five composable guardrails, including auto‑mode classifiers that surface only high‑impact decisions for human review, aiming to curb approval fatigue while keeping agents safe. Anthropic announced Claude for Financial Advisors and, through Belinda Neal and Keon Shahab, detailed a three‑step trust layer – identity, sandboxed approval, and ongoing validation – to ensure agents act within defined boundaries. Bloomberg’s Andrey Rybka added that deterministic controls outside the model, such as scoped identities, tool‑call limits, audit trails, budgets and kill switches, are essential for preventing mishaps.
Model page: Claude for Financial Advisors →
Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents
Latent Space · 14 October 2026
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