Expert Interview
A Second Look: Discuss the outlook for S&P Global following its recent earnings miss, and assess the longer-term AI risk
Ticker(s): SPGI, AMZN, GOOG, NVDA, MSFT, MCO, Anthropic- Currently CEO of Sapient Advisors, advising financial data providers, insurers, and mid-market financial services firms on AI-driven product transformation, data monetization, and LLM-enabled workflow redesign. Leads initiatives focused on embedding generative AI into regulated data businesses while balancing compliance, governance, and subscription economics.
- Former product and strategy executive at Moody’s Analytics, FactSet, and Aiera, where she built and monetized AI-ready data platforms, structured finance analytics tools, and enterprise research workflows. Led AI and machine learning product strategy, global data partnerships, research distribution modernization, and generative AI-powered market intelligence solutions across large-scale subscription businesses.
- Brings 30+ years of experience across incumbents (Moody’s, FactSet) and AI-native challengers, with deep expertise in customer stickiness dynamics, ratings and market data economics, subscription retention, workflow embedding, private markets data expansion, and the competitive pressures generative AI poses to established financial information franchises — including long-term risks of commoditization, churn, and AI-driven disintermediation.
How significant is the AI-related risk to SPGI in the long term?
Could the Claude AI plug-in meaningfully enhance customer workflows or insights?
How resilient are SPGI’s customer relationships, and could AI-driven disruption lead to churn?
What are the key growth drivers across Ratings, Market Intelligence, Indices, and Mobility in 2026?
What is the potential of the newly independent Mobility business after the spinoff?
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