Goldman Sachs relays thoughts on AI from field work

Investing.com -- Goldman Sachs shared findings from its third annual Silicon Valley AI field trip, outlining how artificial intelligence will affect companies in the business and information services sector.

The investment bank met with AI companies, venture capital firms and academic researchers to assess the technology's impact on its coverage universe. Goldman Sachs identified four main conclusions from these meetings.

First, proprietary information is expected to become more valuable as AI adoption grows. Second, AI applications are moving beyond simple information delivery into workflow execution. Third, physical services and education platforms appear better protected than business models that rely on white collar staffing volumes. Fourth, monetization methods are expanding beyond traditional seat-based pricing to include usage fees, transactions, product premiums and completed outcomes.

Goldman Sachs said competitive positioning will depend on whether companies own differentiated data, control critical workflows and can convert higher AI-enabled activity into additional customer spending.

The bank cited specific examples from its coverage, including implications for FactSet Research Systems (NYSE: FDS) and S&P Global (NYSE: SPGI) from Daloopa's source-linked financial-data workflows. Thomson Reuters (NYSE: TRI) faces potential changes from Harvey and Clio's expansion across legal work, while Verisk Analytics (NASDAQ: VRSK) may be affected by Corgi's AI-native insurance platform.

Moody's (NYSE: MCO) connected-intelligence deployment was highlighted as a model for monetizing proprietary information through agent access and workflow execution.

Goldman Sachs expects AI to produce different stock outcomes based on information ownership, workflow control, business-model exposure and the ability to convert adoption into measurable revenue.

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