New research shows many labor markets face a skills mismatch, not a talent shortage. And in the 'messy middle' of the AI transformation, that mismatch will be harder for leaders, workers and hiring managers to ignore as they build future-ready teams. To compete, companies will need to focus on skills-based hiring to ensure worker capabilities reflect what rapidly evolving roles require. In this episode, Maria Flynn, CEO of non-profit Jobs for the Future, explains why skills, not degrees will be the currency of the future workplace, and why education and workforce systems built for the past are struggling to keep pace with AI-era job shifts. She shares changes needed in how workers are trained, assessed, tested and hired. Flynn also discusses the importance of designing quality jobs in all sectors and how worker voice and agency matters in both AI training and implementation and how this can reduce turnover, strengthen AI adoption, and close gender gaps.
Key takeaways: • What is the skills mismatch - and what hiring managers need to understand to build their teams • How skills-based hiring can expand across hiring, advancement and talent management • Why successful AI adoption needs worker input, better job quality and inclusive workforce design
Part two of our three-part AI and Jobs series. Subscribe to Meet the Leader for more conversations on leadership, AI, skills and the future of work.
Podden och tillhörande omslagsbild på den här sidan tillhör
World Economic Forum. Innehållet i podden är skapat av World Economic Forum och inte av,
eller tillsammans med, Poddtoppen.
