Turning AI Momentum into Workforce Advantage

In the first episode of a special On Aon mini-series on the 2026 Human Capital Trends study, Aon’s Human Capital leaders outline a clear leadership challenge: AI is scaling fast, but the value it delivers is determined by how effectively organizations prepare their people to use it. The discussion moves beyond adoption to focus on aligning AI to business priorities, redesigning work and equipping leaders to translate capability into sustained growth.

Key Takeaways: 

1. AI investment is ahead of workforce readiness, leaving unrealized value. Organizations that stay ahead are closing this gap by prioritizing capability-building alongside deployment.
2. Delivering value from AI requires shifting focus from activity to outcomes. Measuring success through productivity, decision-making and business impact is critical to unlocking return on investment.
3. Advantage comes from redesigning work, not just scaling tools. Embedding AI into critical workflows and aligning incentives, leadership and skills is what enables durable growth.

Experts in this episode:  

• Byron Beebe, CEO of Human Capital, Aon 
• Amanda Scott, Head of Talent Solutions, North America, Aon
• Marinus Van Driel, Partner, Workforce Transformation Advisory, North America, Aon

Key Resources:

2026 Human Capital Trends Study

Key Moments: 

(00:45) AI adoption has accelerated across organizations, but workforce readiness is lagging, creating a gap between deployment and impact

(04:20) Why moving too quickly on technology without building capability leads to stalled return on investment and slower adoption

(13:00) How AI is reshaping the future of work, driving more fluid, skills-based roles and integrated ways of working

Soundbites: 

Byron Beebe:

“I really think it's the people using AI to do jobs better or to enhance what they can accomplish for customers of a business. Those are the people that are going to win.”

Amanda Scott:

“AI is no longer a technology story; it's a people story.”

Marinus Van Driel:

“What we're seeing is most organizations are scaling their tools, but very few are redesigning their work. So, most of them are in that foundation or that developing stage. And then I think that the question that's emerging from all of this that I think all leaders will have to grapple with in the near future is we can have AI do this work, but should we have AI do this work.”