AI-Informed Job Architecture

AI is reshaping work at the task and role level — but most job architectures remain static, making it difficult for organizations to translate AI investments into workforce decisions that actually hold up. In this webinar, Elin Thomasian, Head of Alliances & Strategy at TalentNeuron, outlines a practical, market-informed approach to AI-informed job architecture that helps leaders move from ambition to role-level action.

In this session, you’ll learn how to:

• Detect AI disruption at the role and task level by quantifying automation exposure across job families using labor market and task-level data
• Make informed automation decisions by distinguishing which tasks should be automated, augmented, or remain human-led and what that means for skills and workforce mix
• Redesign roles for the future via a dynamic job architecture that evolves with AI, enabling smarter build, buy, borrow, and automate decisions

This session is designed for HR, workforce planning, and business leaders responsible for translating AI strategy into practical, defensible workforce design decisions