The AI Saturation Problem — with KPMG's Kelle Fontenot

Your people aren't tired of change — they're saturated. There's a difference, and it's the difference between an AI rollout that lands and one that bounces off your workforce entirely.

I sat down with Kelle Fontenot, Chief Digital Officer at KPMG US — where the CIO, CTO, and Chief Data Officer all report to her. She owns internal innovation, architecture, engineering, and data across a 40,000-person workforce, and she's spent four and a half years steering that organization through cloud, data, and now an AI wave reshaping how every one of her people works.

Kelle reframes "change fatigue" as "change saturation," explains why KPMG refuses to use AI as a head-count lever, and breaks down how 40,000 employees built 25,000 AI agents in just six months. We also get into the synthetic-data acquisition powering regulated AI testing at scale, and the new Anthropic partnership turning a 140-year-old services firm into a products company.

Chapters:

0:00 — Introduction

1:44 — Why "change fatigue" is the wrong diagnosis

4:28 — "Prompting like it's November" — the saturation problem

5:54 — Giving your people space to actually innovate

7:55 — Why KPMG refuses to use AI as a head-count lever

11:07 — Building AI inside a regulated, rules-based business

13:23 — The risk-management container around every AI rollout

16:58 — What an AI-augmented auditor's day looks like

20:15 — 25,000 employee-built agents in six months

25:23 — Why the CIO, CTO, and CDO all report to one person

27:50 — Building Emerging Products & Services as an inside startup

35:38 — "You have to innovate from the edge"

43:06 — The AI agent ROI math nobody's actually running

45:35 — Why KPMG bought a synthetic data company

51:20 — Inside the Anthropic deal — KPMG becomes a products company

58:30 — The leadership lesson buried in shipping AI at scale

Guest: Kelle Fontenot, Chief Digital Officer, KPMG US — LinkedIn