Aaron Linsky

To be useful, an AI agent must be able to search *all* the data its user can access—and none they can’t. This is straightforward when the corpus is small. On millions of documents with overlapping and frequently changing permission scopes, it becomes a serious systems problem that prevents many enterprise agents from reaching prod.

Model intelligence and persistence have reached a level where we believe applied AI in the enterprise is now about context and connectors. Out of the box frontier intelligence in the investment domain is fundamentally limited by access to information. Bridgewater's investment philosophy is fundamental and systematic.

The present has caught up with the future in financial services. New generative AI capabilities have helped financial institutions automate labor-intensive tasks like extracting information from unstructured data sources, summarizing complex documents, and curating market intelligence.