Description
AI is fundamentally reshaping work, forcing enterprises to rethink how they identify, develop, and manage skills. But many skills strategies remain disconnected from the realities of work, leaving leaders with fragmented data, disengaged learners, and no clear way to turn insights into action. To stay ahead, skills leaders need a unified strategy that connects validated skills data, AI-driven tools, and employee career growth—building a workforce ready to adapt and thrive.
In this fireside chat, Dani Johnson, Co-Founder & Principal Analyst at RedThread Research, and Kian Katanforoosh, CEO of Workera and AI adjunct lecturer at Stanford, explore what’s changing, what’s not working, and what skills leaders must do next to build a future-ready workforce
Together, they’ll discuss:
- What’s driving the next evolution of the L&D and HR tech stack, from AI workforce readiness to global talent strategies
- The difference between inferred and validated skills data, and why both business leaders and employees need clearer visibility into real capabilities
- How skills data, job architectures, and learning ecosystems need to work together to deliver both workforce intelligence and personalized employee value
- Why skills validation and verified proficiency are critical not just for planning and reporting, but for driving employee trust, career development, and engagement