The way organizations think about skills is undergoing a fundamental transformation. As AI agents evolve from tools to active teammates—handling execution, analysis, and decision support—the focus is no longer just on adopting technology, but on redefining human capability. Organizations must now rethink who does what, which skills truly matter, and how quickly they can build and scale these capabilities across the workforce.

Traditional talent models—built around static roles and linear career paths—are increasingly giving way to dynamic, skills-based approaches. However, this shift brings new challenges: identifying the right mix of human and machine capabilities, avoiding workforce fragmentation, and ensuring that learning keeps pace with rapidly changing business and technology needs.

To stay competitive, organizations must move beyond reactive upskilling and embrace a skills-first, intelligence-driven approach—one that continuously maps, prioritizes, and activates skills in alignment with business strategy. Learning, in this context, becomes deeply embedded in the flow of work, enabling employees to adapt, perform, and grow alongside intelligent systems.

Join us for an insightful discussion with leading HR and L&D leaders from across India as we explore how organizations are redefining skills, workforce models, and learning strategies in an AI-augmented world. This session will unpack how forward-thinking enterprises are building agile, future-ready talent ecosystems—where humans and machines work in tandem.

Gain insights into:

• Redefining Skills in an AI-Augmented World Understand how organizations are rethinking the skills that matter most as AI takes on more execution and analytical tasks, and what remains uniquely human.
• Shifting from Roles to Skills at Scale Explore how enterprises are transitioning from job-based structures to skills-based models, and whether AI is accelerating or complicating this shift across large, diverse workforces.
• Mapping Work Across Humans and Machines Learn how organizations are defining the interplay between human and AI capabilities—clarifying ownership, value creation, and decision-making boundaries.
• Turning Skills Intelligence into Learning Action Discover how leading organizations are using data signals—from business priorities to learning behavior—to identify emerging skill gaps and translate them into targeted, scalable upskilling initiatives.
• Embedding Learning into the Flow of Work Examine how companies are making learning more continuous and contextual, ensuring that upskilling happens in real time and drives measurable performance outcomes.
• Building an AI-Ready Workforce for the Future Gain perspectives on what organizations must get right today—across leadership, learning infrastructure, and skills data—to position themselves for long-term success in an AI-driven world.