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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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In this episode of the Future Proof HR podcast, Thomas Kunjappu sits down with Shari Chernack, Chief People Officer at Isaacson Miller and an ICF-certified executive coach, to unpack what it now takes for HR to operate as true business athletes in the age of AI. Drawing on experience across Fortune 100, PE, and VC-backed environments, Shari talks about how the CHRO role has shifted from administrative support to strategic leadership and why HR leaders can’t afford to stay on the sidelines as AI reshapes every workflow, capability, and expectation inside the organization.
Shari breaks down how performance management and learning have become HR’s most powerful levers for driving AI adoption, why some moments in the employee journey should stay high-touch even as automation grows, and how pilots, redeployment, and risk matrices help organizations adopt AI without unintentionally damaging culture, talent, or trust.
Topics Discussed:
- Why the CHRO role has evolved from administration to strategy and now to business athlete expectations
- The skill gaps CHROs themselves say they wish they had closed earlier in their careers
- Why HR must be involved in AI strategy from the start, not brought in at the end to “execute” decisions
- How performance management can accelerate responsible AI adoption through goals, impact, and clarity
- How learning teams can use AI tools to design faster, gather insight quicker, and build real-time capability
- When automation makes sense and when high-touch human support still matters in employee moments
- The risks of replacing people too quickly and the value of thoughtful redeployment
- What pilots reveal about organizational readiness, culture fit, and technology maturity
- How “garbage in, garbage out” applies to HR processes, documentation, and data hygiene
- Why non-linear change with AI requires experimentation, transparency, and shared learning across teams
If you’re responsible for guiding your organization through AI adoption. Whether in HR, people operations, or the broader business, this episode gives you concrete examples, decision lenses, and practical ways to shape work without falling into hype or fear.
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