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Reviewed and published by trentmaziarz, July 9, 2026. Discovered and drafted by our automated research pipeline.
State Street tested a generative AI chatbot called Alpha Co-Pilot that would allow institutional clients to ask natural language questions about their portfolio data, trade status, documentation, and economic indicators.
Details
State Street developed a beta version of the Alpha Co-Pilot, a generative AI interface built into its Alpha platform — the central data repository for custody clients. The tool allows clients to ask conversational questions such as querying portfolio exposures, building data scenarios on the fly, and summarizing documents. As of December 2023, it was running on mocked-up data without a confirmed release date, partly due to unresolved legal and hallucination concerns. State Street also separately tested a generative AI chatbot for its research site, which tracks approximately 1.8 million economic indicators daily; early tests showed the bot answering questions better than the existing helpdesk within weeks.
Products affected
State Street AlphaAlpha Co-Pilot
Sources & Evidence
News Article
Cite this record
Trace Foundation. (2026). State Street: State Street tested a generative AI chatbot called Alpha Co-Pilot that would allow institutional clients to ask natural language questions about their portfolio data, trade status, documentation, and economic indicators (data as of 2026-07-09) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/f49af0b4-5b6a-4ffb-8f40-da6eb38b6ff1. Accessed October 8, 2026.
- Stable link
- https://www.aitrace.org/r/practice/f49af0b4-5b6a-4ffb-8f40-da6eb38b6ff1
- Data as of
- July 9, 2026
- Last verified
- Not recorded
Other practices by State Street
Data AnalysisState Street Global Advisors integrated a partner AI platform that uses a large language model to scan thousands of regulatory filings and categorize companies into innovation buckets used to inform the construction of innovation-themed ETFs.Data AnalysisState Street Investment Management uses machine learning models — including non-linear methods and natural language processing — to support quantitative investment processes such as earnings forecasting, risk estimation, and trading.ProductivityState Street integrated a machine learning platform from Canoe Intelligence to automatically convert unstructured private markets documents — such as PDF fund reports — into structured, usable data for institutional clients.
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