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<p>With the rapid advancement of artificial intelligence (AI), workplace job design has transformed significantly. AI’s technological capabilities have enabled the automation of repetitive and standardized tasks, allowing employees to shift their focus toward non-routine, cognitively demanding activities. We define this transition—where AI facilitates the movement of employees away from routine tasks—as AI-enabled job non-routinization. To explore how and when AI-enabled job non-routinization affects employee creativity, we adopted a multistudy approach, including a scenario-based experiment (Study 1), a three-wave survey (Study 2), and a three-wave longitudinal study (Study 3). Our findings demonstrate that AI-enabled job non-routinization enhances AI-based learning by employees, which in turn facilitates creativity (the causal effect). Furthermore, the moderating effects of employees’ meta-knowledge of AI suggest that individuals with greater awareness of AI capabilities can more effectively leverage AI in non-routine tasks, maximizing their learning and creative output. By advancing the understanding of AI’s role in shaping job design, this research provides valuable insights for optimizing human–AI collaboration in organizational settings.</p>

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From routine tasks to creative endeavors: how and when AI-enabled job non-routinization affect employee creativity

  • 期刊论文

  • 发表日期：

    2026年1月12日

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  • Yanghao Zhu,
  • Lirong Long,
  • Shiyingzi Huang

摘要

With the rapid advancement of artificial intelligence (AI), workplace job design has transformed significantly. AI’s technological capabilities have enabled the automation of repetitive and standardized tasks, allowing employees to shift their focus toward non-routine, cognitively demanding activities. We define this transition—where AI facilitates the movement of employees away from routine tasks—as AI-enabled job non-routinization. To explore how and when AI-enabled job non-routinization affects employee creativity, we adopted a multistudy approach, including a scenario-based experiment (Study 1), a three-wave survey (Study 2), and a three-wave longitudinal study (Study 3). Our findings demonstrate that AI-enabled job non-routinization enhances AI-based learning by employees, which in turn facilitates creativity (the causal effect). Furthermore, the moderating effects of employees’ meta-knowledge of AI suggest that individuals with greater awareness of AI capabilities can more effectively leverage AI in non-routine tasks, maximizing their learning and creative output. By advancing the understanding of AI’s role in shaping job design, this research provides valuable insights for optimizing human–AI collaboration in organizational settings.