How AI is Reshaping Skills, Hiring, and Education

The way we think about jobs is changing. As artificial intelligence reshapes how work gets done, traditional roles and titles are giving way to something more fluid: a skills-based economy. But while organizations are moving quickly to redefine what they need, workers and educators are still catching up, creating a growing gap between the skills people claim to have and the capabilities employers truly value.

On this season premiere episode of Where AI Works, host Matthew Bidwell is joined by James Crowley, Global Products Industry Practices Chair at Accenture, and Eric Bradlow, Vice Dean of AI and Analytics at Wharton, to unpack the findings of the Wharton Accenture Skills Index. Drawing on analysis of millions of worker profiles and job postings, they explore how AI is accelerating demand for specialized expertise, domain knowledge, and judgment-driven work, while making generalized skills less important on their own. Their conversation also explores what this shift means for business leaders, educators, and employees alike, as AI transforms both how we work and how we learn. It turns out success may depend less on what you know today — and more on how quickly you can build the skills you’ll need tomorrow.

Episode Highlights:

6:22 - James explains how the Wharton Accenture Skills Index was built using an analysis of 150 million worker profiles and 100 million job postings.

13:25 - Eric reflects on why AI should be viewed as a learning accelerator, and why employers should invest in how quickly people can learn rather than in what they already know.

23:25 - James lays out why business leaders need to come up with a “taxonomy” for the skills they need, the skills their employees already have, and the ones they’ll need in the future.