Bob Pulver and Gordon Ritchie share their insights on the evolving complexities of skills in today’s workplace. We dive into how AI impacts skills inference, the challenges of creating global skills taxonomy, and why durable skills like problem-solving are critical. Skills-based hiring is examined through the lens of automation and its limits.
In this episode, we look at skills, AI, automation, skills-based hiring, internal mobility, reskilling, and responsible AI practices, highlighting how these elements reshape the future of work and talent acquisition.
Key Takeaways:
Skills assessments are key in identifying individual and organizational capabilities in a dynamic workforce.
Skills ownership remains contested as various HR solutions aim to define the skills system of record.
AI-driven skills inference can uncover hidden aptitudes but is prone to biases and limitations.
Durable skills, such as critical thinking and adaptability, are increasingly valuable in today’s volatile job market.
Skills-based hiring often lacks consistency, with better results seen in skills-based sourcing instead of hiring.
Automation's impact on hiring and talent management must be weighed carefully, particularly regarding employee engagement and retention.
Gordon Ritchie: https://www.linkedin.com/in/gordon-m-ritchie
Skill Collective: https://skillcollective.co.uk
Navigating the Skills Landscape for the Evolution of Work with Gordon Ritchie