aceApproach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability
Introduction: As generative artificial intelligence (AI) is increasingly integrated into employees' daily workflows, it is profoundly reshaping the nature of work, which raises critical theoretical questions about how employees can build sustainable careers. Drawing on approach-avoidance motivation theory, this study distinguishes between two types of proactive employee adaptation to AI (i.e., AI job crafting): an approach-oriented type aimed at leveraging AI to expand job boundaries and enhance personal capabil…
Employees who use approach-oriented AI job crafting to expand job boundaries and enhance capabilities report higher career satisfaction and performance through increased work meaningfulness.
Findings were domain-specific to work outcomes and did not extend to broader well-being, as both pathways failed to affect life satisfaction.
Evidence
- Peer-reviewedFrontiers in Psychology2026-03-24
- Peer-reviewedPLOS One2025-08-18
- Peer-reviewedEmployee Relations: The International Journal2023-02-25
- Peer-reviewedPhilosophy & Technology2019-11-01
- Peer-reviewedFrontiers in Psychology2026-01-09
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Truvace Impact Record TRV-2026-0177, v5: “Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability.” Truvace, 2026-07-19. /record/TRV-2026-0177 (accessed at citation time). sha256 6dadfa407c6f672d…
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