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Scaling AI with Humanity: S&P Global’s CPO on Skills, Spark Assist, and 7,000 Change Leaders

Scaling AI with Humanity: S&P Global’s CPO on Skills, Spark Assist, and 7,000 Change Leaders

Episode 62 Published 1 month, 3 weeks ago
Description

Summary

AI is racing ahead—but how do you bring a 40k+ global workforce along without losing the human connection? Girish Ganesan, Chief People Officer at S&P Global, shares how his team is redesigning work around skills and tasks while keeping “humanity as the multiplier.” He outlines three macro challenges—pace of change vs. org readiness, the shift from roles to skills, and maintaining connection across 41 countries—and the practical ways S&P Global is responding. Expect concrete examples: making change tangible at the workflow level, rolling out a companywide AI Academy, launching Spark Assist (an internal genAI platform) with a shared “Spark Store” of 2,000+ employee prompts, and building a skills-powered internal talent marketplace on Eightfold. Girish also details how they’re equipping 7,000 people leaders through a Change Leadership Academy, the “power skills” that drive ROI from AI (judgment, systems thinking, emotional intelligence), and how personalization at scale is reshaping learning, mobility, and manager support.

Timestamps

[00:45] – S&P Global’s scale and Girish’s mandate as CPO

[01:36] – Three macro challenges: AI’s pace, skills vs. roles, and human connection

[04:11] – Making change tangible: task-level AI use and a companywide AI Academy

[06:18] – “Humanity is the multiplier”: protecting power skills amid tech disruption

[11:47] – Urgency with intention: the jobs-to-skills shift and standing up a talent marketplace

[13:03] – Spark Assist: internal genAI platform and a shared “Spark Store” with 22,000 prompts

[13:49] – Equipping 7,000 people leaders: Change Leadership Academy and the power of listening

[18:06] – Building a skills graph with Eightfold, internal mobility, and personalized learning at scale

Takeaways

- Redesign work at the task/workflow level—don’t just layer AI onto legacy roles and processes.

- Build an enterprise learning engine: baseline AI literacy plus role-specific upskilling.

- Double down on power skills (judgment, systems thinking, emotional intelligence) to unlock AI ROI.

- Shift from jobs to skills via an internal talent marketplace to mobilize and grow talent transparently.

- Invest in managers at scale—teach change leadership, listening, and contextual communication.

- Use internal genAI platforms and prompt-sharing to safely crowdsource adoption and speed learning.

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