Curtis Odom

expert panel

Tracking AI adoption rates and hours saved tells you only part of the story. Members of the Senior Executive HR Think Tank—a curated group of human resources leaders, executives and organizational strategists—reveal the KPIs that actually capture whether human-AI collaboration is creating lasting business value, from quality-adjusted productivity and decision quality to capacity redeployment and the often-overlooked power of belonging.Organizations are pouring capital into artificial intelligence, yet many executives still cannot answer a deceptively simple question: Is it working? Adoption dashboards light up, automation counts climb and hours-saved tallies fill quarterly reports—but those metrics measure activity, not impact. They tell you the machine is running. They say nothing about whether the humans alongside it are doing their best work.That gap is exactly where the Senior Executive HR Think Tank steps in. The curated group of human resources leaders, executives and organizational advisors has spent considerable time examining what it really means for AI to amplify—rather than simply accelerate—human capability. Their answer is anything but monolithic: the most meaningful KPI depends on organizational context, strategic priorities and the kind of synergy leadership is actually trying to build. But taken together, their perspectives form a compelling, actionable framework for any enterprise ready to measure beyond the obvious.Urgency is warranted. Research from IDC's 2026 FutureScape for the AI-Enabled Future of Work found that organizations focused on measuring AI-human collaboration—rather than raw productivity alone—are projected to see margin gains of up to 15% by the end of the decade. Meanwhile, barely a third of global enterprises report being fully ready for AI-driven ways of working. The measurement gap is not academic. It is a competitive liability.