Recruiting Future with Matt Alder - What's Next For Talent Acquisition, HR & Hiring? Ep 752: Using Job Architecture To Drive Value From AI
Dec 1, 2025
In this engaging discussion, Ben Zweig, CEO of Revelio Labs and author on workforce data, dives deep into job architecture. He emphasizes the critical difference between skills, tasks, and jobs, asserting that these terms are often confused, but clarity is essential as AI reshapes work. Ben shares how organizations can effectively build taxonomies using large language models and why a precise understanding of tasks is crucial for implementing AI. He also explores the potential risks of job displacement by automation and the need for adaptable labor markets.
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Differentiate Skills, Tasks And Jobs
- Skills are attributes of people while tasks and activities are the components of work.
- Jobs are bundles of activities and must be analysed at the task level to understand AI impact.
Analyse Work At The Task Level
- Do not treat jobs as mere collections of skills; instead, deconstruct jobs into tasks and activities.
- Use tasks as the unit of analysis because skills are inputs to completing those activities.
AI Targets Tasks Not Jobs
- AI automates components of jobs, not whole jobs or human skills.
- Understanding which tasks are automated is essential to plan augmentation and redeployment.
