Vanguard’s Five-Part Foundation for Scalable, Trustworthy AI
Vanguard’s Jing Wang explains how data, engineering, platforms, operating models and governance can scale trustworthy AI in regulated finance for investors.
Summary
A Vanguard-sponsored EmTech Future session published October 22, 2026, argues that scalable AI in highly regulated environments requires data, engineering, platforms, operating models and governance to function as one foundation. It frames responsible, trustworthy deployment of emerging capabilities, including agentic systems, as a route to better client experiences, investor outcomes and lasting, measurable business value. No architecture, performance data, investment figures or deployment timeline is disclosed.
Jing Wang, a principal who leads Vanguard’s Center for AI and Insights, oversees enterprise research, innovation and delivery across AI, machine learning, generative AI and behavioral science. She joined Vanguard in 2009 after several years as a Boston Consulting Group principal, then held leadership roles across Financial Services, Workplace Solutions, International and Corporate Services. Wang earned a physics B.S. from the University of Science and Technology of China, a Ph.D. from the University of Pennsylvania and a Wharton M.B.A. in finance and marketing; she holds Series 7, 24 and 65 licenses.
Positives
- Five integrated functions, data, engineering, platforms, operating models and governance, form Vanguard’s proposed foundation for scalable AI.
- Agentic systems are included among the emerging capabilities Vanguard aims to convert into lasting investor value.
- The Center for AI and Insights combines AI, machine learning, generative AI and behavioral science across enterprise research and delivery.
- Jing Wang has worked at Vanguard since 2009 across four divisions, providing broad operational experience for enterprise AI implementation.
- Series 7, 24 and 65 licenses complement Wang’s technical, financial and management education in a highly regulated industry.
Risks & concerns
- No architecture, performance metrics, investment figures or deployment timeline is provided for Vanguard’s scalable AI approach.
- No completed implementation or quantified improvement in client experiences, investor outcomes or business value is presented.
- Five organizational functions must converge, creating a substantial coordination challenge in a highly regulated environment.
- Agentic systems are discussed only as emerging capabilities, leaving their specific applications, controls and readiness unclear.