How Moody’s Is Turning AI Adoption Into a People Strategy

Patrick Martin, Chief Talent Officer at Moody's, believes AI transformation is a people challenge, not just a technology one. That is why Moody's put its AI enablement team on the people team. It is also how a company built on caution has moved quickly on AI: sorting every task into work people own and work AI owns, rebuilding how it hires, and training everyone from new hires to the executive team.

In this episode, Patrick Martin joins host Joelle Emerson to talk about why AI transformation at Moody's runs through the people team, starting with how his teams sorted every task into work people own and work AI owns. He also gets into how a caution-first company got comfortable moving fast, what rebuilding the hiring process took, what candidates applying through AI agents are doing to recruiting, and why cutting early-career hiring is short-sighted.

Key Takeaways

• Patrick Martin is Chief Talent Officer at Moody's, the credit ratings and financial analytics firm. He oversees hiring, learning and development, talent strategy, and employee experience, a remit he describes as bigger than the role at many companies. He spent his career in learning and talent, first at Bechtel and then at XPO Logistics, before joining Moody's in 2021.

• AI enablement belongs on the people team. Moody's built a dedicated AI enablement function early and put it inside the people team, because Patrick sees AI as "a people change initiative" that changes jobs, how people do them, and the skills they need. He expects data visualization, data storytelling, process management, and consulting skills to matter more.

• Sort every task, not every job. Teams listed their tasks, started with the biggest pain points, and placed each on a four-square grid of complexity against value: people-owned, AI-owned, or shared. Choosing among up to 200 offer templates went to automation; teaching leadership stayed human. At first, Patrick says, nobody thought AI would take any of the tasks.

• Permission to move fast came from the top. Patrick credits CEO Rob Fauber with pulling the company together on AI, and told his own team, "we're either going to figure out how this impacts our job, or someone's going to figure that out for us." AI training went on the corporate scorecard, employees demo their builds at AI cafes, and the CEO makes songs with AI for town halls.

• You need both bottom-up and top-down. Unstructured experimentation left several people building the same agent, so Moody's added an approval path and a governance framework while keeping the experimenting. Because the tools cost money, the AI enablement team works with the technology strategy, governance, and finance teams to make sure the spend earns its return.

• Faster hiring changed how the business sees recruiting. After a listening tour, Patrick renamed talent acquisition to talent attraction, hired a TA operations lead, and took time to offer from about 90 days to 34. Recruiters can now show the business data on every step. A person still makes every candidate decision: "we do not eliminate people using AI."

• Candidates are using agents too. Applications have surged as agents apply on candidates' behalf, sometimes to companies the candidate has never heard of. Patrick has seen candidates alter their appearance with AI in video interviews, and he expects new kinds of jobs to grow up around detecting it.

• Train in waves, and train the managers. Training moved from what AI is, to agentic AI, to Claude Code, Copilot, and token management, and 99% of employees completed the core curriculum, which was tied to their bonus. Managers went through a rebuilt program, Manage Forward, with 180 assessments for managers and 360s for executives.

• Don't cut early-career hiring. Patrick thinks about it "in the inverse": if you stop hiring early-career talent, your future leaders can only come from companies that didn't. He expects more rotational programs to give AI-native new hires the business knowledge that experienced people already have.

Chapters

• [00:00] Introduction

• [01:09] Meet Patrick Martin

• [02:13] What a chief talent officer owns

• [04:45] Why AI enablement sits on the people team

• [07:16] Sorting every task: people or AI

• [11:08] Getting people to want automation

• [13:13] A caution-first company moving boldly

• [16:42] Inside Moody's AI cafes

• [17:42] Top-down and bottom-up together

• [21:18] Tokens are not free

• [22:21] Rebuilding the hiring process

• [27:25] Candidates are applying with agents

• [29:08] Bias in AI, bias in humans

• [31:01] Moving fast and getting things wrong

• [33:00] From "what is AI" to Claude Code

• [35:28] Manage Forward: rebuilding managers

• [38:05] Why early career talent still matters

• [40:21] The pitch to a skeptical CEO

• [43:16] Lightning round

• [45:20] Closing thoughts

Show Links

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• Learn more about Moody's

• Follow Patrick Martin on LinkedIn

• Connect with Joelle Emerson on LinkedIn

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