Speaker
The skills agenda has dominated HR transformation for over a decade driving taxonomies, marketplaces, and reskilling initiatives. Yet, the arrival of agentic AI makes traditional skills models look static. No longer confined to automation, AI can learn, act independently, and reshape tasks in real time. This challenges HR to move from skills as a classification exercise to skills as a living system of assessment and allocation.
In this session, OECD perspectives on global skills frameworks meet GSK’s organisational practice to unpack what’s next: a model where HR continuously reallocates talent, integrates adaptive AI, and supports human development in dynamic environments. Delegates will leave with insights into the policy and practice implications of building an operating model that goes beyond skills inventories to intelligent allocation systems.
Key Takeaways:
- Why skill mapping and taxonomies are no longer enough in an adaptive AI world
- How agentic AI reshapes skills assessment, allocation, and workforce design
- Building HR models that enable continuous reallocation of both human and machine capabilities
- The risks of reducing human talent to data—and how to preserve human value
- Lessons from policy and practice: OECD frameworks and GSK’s organisational evolution
Speaker