AI and the Future of Work

Artificial intelligence is reshaping labor markets, challenging traditional career pathways, and
raising urgent questions about equity, access, and longterm economic stability. AI and the
Future of Work examines how artificial intelligence is transforming jobs, skills, and
organizational structures — and what that means for workers, employers, and society at
large. This panel brings together innovators and executives to explore where AI is creating
new opportunities, where it’s disrupting established roles, and the strategies organizations
need to stay competitive in an AI-driven economy. Panelists will have a candid discussion
on productivity, ethics, reskilling, and the policies needed to ensure that AI-driven progress
supports economic mobility, protects workers, and strengthens the future of
human–machine collaboration.

PANELISTS:

Emma Sharma
Founder, Agentic AI
Emma is an executive leader with a 30-year career working globally in the technology, government contracting, and legal industries – including for companies such as Capgemini, Business Objects and SAP. As a serial entrepreneur, she has co-founded and successfully scaled businesses organically and through strategic acquisition delivering double-digit returns to early investors. Read full profile…

The Hon. Dr. John R. Unger II
Founder, Agentic AI
Dr. John R. Unger II helps institutions build artificial intelligence that is not only powerful, but responsible, reliable, and worthy of public trust. A Rhodes Scholar (Oxford, PPE), he is Adjunct Professor in West Virginia University’s Statler College, where he is helping establish an AI Center of Excellence and teaches Responsible and Reliable AI and Cybersecurity Ethics. Read full profile…

Ryan Paul Kim
First-Year College Student, Business
Ryan Paul Kim is currently part of Cuebench, which builds reinforcement learning environments for scientific discovery and inference, with a focus on reasoning and performance engineering. Cuebench was accepted into Y Combinator, receiving $500,000 in funding and $2 million in AI credits, along with access to experienced mentors and technical resources. Read full profile…