A panel discussion in the conference’s Ethics, Governance & Responsible Innovation track with Amit Mohindra, Keelan Evanini, and Lisa Simon.

This year, the conference’s theme, The Business of Intelligent Transformation, is a strategic examination of how organizations translate AI innovation into sustained business value. Explore how organizations align technology, people, and purpose to navigate complexity, redesign work, and build adaptive organizations across four integrated tracks: 

• Future of Work and Transformation

• Talent & Culture

• AI & Human Capability

• Next-Generation Talent Perspectives

Signals from the AI Economy: Labor Market Intelligence & Workforce Development

AI is no longer a future capability—it is already reshaping how work gets done, how performance is evaluated, and how decisions are made. Yet while the technology is advancing rapidly, the workforce is not transforming at the same pace.

This session brings together perspectives from organizational adoption, AI development, and labor market intelligence to explore what it truly takes to build a workforce that can work with AI. We move beyond the hype of “AI skills” to examine the real gap: not just technical expertise, but organizational AI literacy, judgment, and trust. Drawing on real-world examples, we will explore how generative AI is redefining productivity, reshaping skills, and introducing new governance challenges.

Designed as an interactive discussion, this session will challenge assumptions, surface tensions, and offer practical frameworks. Participants will leave with a clearer understanding of how to design, govern, and lead AI-enabled workforces responsibly—without losing the human advantage.

Join this session to:

• Distinguish between technical AI expertise and organizational AI literacy, and identify why most organizations are solving the wrong skills problem.

• Consider how generative AI is redefining productivity and recognize where it augments performance versus where it risks skill atrophy.

• Evaluate governance and accountability challenges when AI participates in decision-making and performance evaluation.

• Understand how AI is reshaping performance measurement, fairness, and trust in the workplace.

• Identify practical actions for preparing the next generation of AI-enabled workers across universities and organizations.