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Bridgewater’s shared repository and access platform for internal and external unstructured information, including research notes, policy documents, meeting transcripts, and internal debates. In his October 13, 2026 presentation, Green described participating in building Vault with colleagues, including head of product engineering Aaron Linsky. Green emphasized cleaning, governance, point-in-time usability, and enrichment with countries, markets, economic concepts, and periods discussed. He reported that Vault held more than 100 million documents from 135 external sources alongside internal information at the time of the talk. This is collaborative project participation, not sole authorship; the search benchmarks, filtering implementation, and adoption work were presented by Linsky.
ai.engineerA Bridgewater research experience that Green described as work his team was building on October 13, 2026. An always-on agent tracks an investor’s priorities, proposes topics deserving attention, and presents a synthesis, supporting evidence, and access to deeper analytical work. Investors decide whether to pursue or dismiss suggestions. Findings from human-agent investigations are automatically returned to Vault for future research. The source supports Green’s collaborative involvement, not individual ownership or sole implementation credit.
ai.engineerBridgewater research published December 10, 2021, explicitly crediting Greg Jensen, Atul Narayan, and Sam Green as coauthors. It examines how withdrawing liquidity and deflating speculative bubbles could affect broader equity valuations, leveraged investors’ other holdings, household spending, private funding markets, and large technology companies receiving startup spending on cloud services and advertising. These are the authors’ contemporaneous analyses of possible transmission mechanisms, not claims that every projected outcome subsequently occurred.
bridgewater.comBridgewater research published March 21, 2023, explicitly crediting Greg Jensen, Larry Cofsky, Alex Schiller, Nick Meyer, and Sam Green as coauthors. It distinguishes emergency measures that stop withdrawals from the profitability pressure of replacing cheap deposits with more expensive funding while retaining long-duration, low-yielding assets. The authors examine possible bank retrenchment and consolidation, reduced lending and bond demand, and disruption for specialized borrowers whose credit access depends on smaller lenders’ sector knowledge and relationships.
bridgewater.comBio, Work & Ideas
Conference affiliation: Bridgewater Associates
Sam Green works at the intersection of investment research and applied AI at Bridgewater Associates. In October 2026, he was team lead for Applied AI in AIA Labs, helping build systems that make the firm’s research available to investors and agents—and preserve what they learn together. His earlier published work examined how changes in liquidity and bank funding could spread through financial markets and the economy.
In December 2021, Green coauthored research on speculative bubbles with Greg Jensen and Atul Narayan. Their analysis followed the consequences of withdrawing liquidity beyond the assets most exposed to speculation. Leveraged investors could be forced to sell other holdings, while falling household wealth could weaken spending. Startup funding provided another connection: young companies spent capital on cloud computing and online advertising, making their access to financing relevant to the revenues of much larger technology businesses.
In March 2023, he coauthored an analysis of the banking system’s changing economics with Greg Jensen, Larry Cofsky, Alex Schiller, and Nick Meyer. The team distinguished stopping a bank run from restoring a bank’s profitability. Emergency liquidity could address withdrawals without resolving the squeeze between low-yielding, long-term assets and increasingly expensive funding. They examined how that pressure could restrict lending, encourage consolidation, and reduce banks’ appetite for bonds. Their analysis also explained why replacing a smaller bank with a larger lender might preserve overall lending capacity while disrupting credit for borrowers whose businesses depended on specialized knowledge and established relationships.
Green’s applied-AI work includes Vault, Bridgewater’s shared repository and access platform for internal and external unstructured information. Working with colleagues including head of product engineering Aaron Linsky, he helped build a system that brings research notes, policy documents, meeting transcripts, and internal debates into an investment process historically centered on structured data.
For Green, making those documents useful requires more than collecting them. They must be cleaned, governed, and connected to the countries, markets, and economic concepts they discuss. Time is especially important: research must distinguish information available when an investment decision was made from information that appeared afterward. Those preparations let investors and agents investigate a question within the relevant market and period, rather than rely on whatever a general search happens to return.
He also works on an investor workbench designed to make agents proactive research collaborators. An ongoing agent follows an investor’s priorities and proposes issues worth investigating, presenting a short synthesis and the evidence behind it. The investor can dismiss the suggestion or pursue deeper analysis. Findings from that collaboration return to Vault, where they become available for subsequent investigations.
This work forms part of AIA Labs, Bridgewater’s AI research and investment lab. Its mission includes building an artificial investor capable of rigorous, explainable fundamental research, while developing tools that help human investors work with more information and examine more complex economic relationships.
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