Tricia Wang is a technology and strategy expert at the intersection of AI, data, and human insight.
She is the co-founder and CEO of the Advanced AI Society, an industry association accelerating enterprise adoption of credible alternatives to centralized AI by making them visible, trusted, and financially viable at scale. With more than two decades advising Fortune 500 leaders—including Google, Spotify, and P&G—she has helped transform data from a cost center into a growth engine by aligning governance, customer insight, and digital strategy.
Long before today’s AI boom, Tricia foresaw both the promise and the dangers of machine intelligence. As a global tech ethnographer at Nokia, she witnessed how over-reliance on dashboards blinded leadership to shifting consumer behavior, leading her to coin the term “quantification bias.” Her influential TED talk argued that successful enterprises require not just big data infrastructure but “thick data”—the deep contextual insights that ground decisions in human reality.
She founded Sudden Compass to address the same governance gap she observed at Nokia: organizations investing heavily in infrastructure without building the leadership systems to act on insights. At Sudden Compass, she worked with senior executives to embed thick data into decision-making and design change-management frameworks that made transformation sustainable. Today, as enterprises navigate generative AI, she continues to emphasize that adoption is not only a technical challenge but a governance one.
Tricia’s cross-sector career spans launching innovation labs in China, opening up a digital product lab in Peru, and co-founding CRADL (Crypto Research and Design Lab) with the World Economic Forum to advance decentralized technologies that return agency and ownership to individuals—later acquired by the Crypto Council for Innovation.
She holds a Ph.D. in Sociology and contributes to expert communities through affiliations with Harvard University’s Berkman Center for Internet & Society, US Japan Leadership Program, Data & Society. She also serves on the board of New Mexico Community Capital and advises Dangerous Ventures and startups on AI strategy and data governance.
Her work has been featured in The New Yorker, Fortune, Wired, Quartz, and The Guardian. She is a Global Expert on AI and data at Singularity University and a sought-after speaker on enterprise AI, data ethics, and future-proofing organizations.
Across every role—from NASA to Nokia, from Fortune 500 boardrooms to tech labs—Tricia has advanced one principle: technology must serve humanity, not erode it. Learn more at triciawang.com.
