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TRV-2026-0177Certified recordPeer-reviewed

Approach 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…

Labor · G Space — documented gain · certified 2026-07-13 · v1 · article view · machine-readable

Current reading — gain

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.

What this doesn’t fix

Findings were domain-specific to work outcomes and did not extend to broader well-being, as both pathways failed to affect life satisfaction.

Evidence

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Truvace Impact Record TRV-2026-0177, v1: “Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability.” Truvace, 2026-07-13. /record/TRV-2026-0177 (accessed at citation time). sha256 30d47e07e6984dbc

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Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

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