Talent Management in the Age of AI | Harvard Business Review

Talent Management
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AI in the workplace has far-reaching implications for all facets of talent management. This article by LinkedIn’s CEO, Ryan Roslansky, outlines three significant shifts that business leaders need to embrace as organizations integrate AI into talent management practices and processes. 1) Redefine jobs as a collection of skills and tasks, not titles; 2) Bring skills and workforce learning to the center of talent management; and 3) Embrace AI to focus teams on collaboration. Regarding reconceptualizing jobs as a compilation of skills and tasks, this approach enables organizations to identify tasks vulnerable to AI automation and focus on upskilling employees to handle more complex tasks while emphasizing human-centric skills like communication and collaboration. As organizations develop their capability to deconstruct roles into tasks and skills, this supplemental article by Gartner, Plan Your Workforce Without the Limitations of Roles, shares four steps to break down roles into a group of tasks and then analyze those tasks to determine optimal workforce strategies (e.g., automation) for task delivery. Although jobs won’t completely go away, deconstructing work from the job level to the task and skill level presents firms with greater flexibility in accomplishing those tasks through different work options (e.g., AI, outsourcing, full-time employees, etc.)