The Real Cost of AI in the Workforce: What the Math Actually Looks Like When You Stop Guessing

22 Oct 2026
Oceanside C Ballroom
Breakout Session
Every organization is making AI workforce decisions right now, and most are doing so without a reliable model of what those decisions actually cost or return. This session cuts through the noise on one of the most consequential questions HR leaders face: how do you plan for a workforce that is being augmented by AI in some places and replaced by it in others, and how do you know which is which before the bill comes due?

Analysts and CHROs who have been in real deployments join a frank, spirited conversation about what the ROI math actually looks like in practice, why the augmentation-vs.-replacement framing leads organizations into bad planning decisions, and what has driven success or failure when the rubber meets the road. This isn't a session about token costs or IT budgets alone. It's about workforce strategy, financial planning, and the organizational traps already catching companies off guard, and what HR leaders need to own next.
Speakers
George LaRocque
George LaRocque, Founder and Principal Analyst - WorkTech
Kyle Forrest
Kyle Forrest, US Human Capital Chief Marketing Officer - Deloitte Consulting LLP
Chris Havrilla
Chris Havrilla, Chief Advisor and Analyst - AI Alchemists

Learning Objective 1

Understand why the augmentation vs. replacement binary is a planning trap, and how to build a more accurate model for AI workforce decisions before committing resources.

Learning Objective 2

Gain an honest, practitioner-level perspective on what's actually working and what isn't when organizations deploy AI at workforce scale.

Learning Objective 3

Leave with a clear view of what HR leaders need to own, ask, and solve for before AI workforce costs outpace the value they were promised.

Access Type

Conference Pass