AI Revolution Spurs Shift in Business Models, Finds Goldman Sachs
Goldman Sachs recently returned from its third annual Silicon Valley AI field trip, where it met with AI companies, venture capital firms, and academic researchers to assess the impact of artificial intelligence on its coverage universe.
The investment bank identified four main conclusions from these meetings. Firstly, as AI adoption grows, proprietary information is expected to become more valuable. Secondly, AI applications are moving beyond simple information delivery into workflow execution. Thirdly, physical services and education platforms appear better protected than business models that rely on white-collar staffing volumes.
Lastly, monetization methods are expanding beyond traditional seat-based pricing to include usage fees, transactions, product premiums, and completed outcomes. Goldman Sachs cited specific examples from its coverage, including implications for FactSet Research Systems and S&P Global from Daloopa's source-linked financial-data workflows.
The bank also highlighted Thomson Reuters' potential changes from Harvey and Clio's expansion across legal work, as well as Verisk Analytics' possible impact from Corgi's AI-native insurance platform. Moody's connected-intelligence deployment was noted as a model for monetizing proprietary information through agent access and workflow execution.