Abstract

Proponents of artificial intelligence (AI) have envisaged a scenario wherein intelligent machines would execute routine tasks performed by humans, thus, relieving them to engage in creative pursuits. While there is widespread fear of corresponding job losses, organizational think tanks vouch for the synergistic culmination of human–machine competencies. Using the dynamic skill, neo-human capital and AI job replacement theories, we contend that the introduction and adoption of AI calls for employees to upskill themselves. To determine the key skills deemed critical for the upskilling of employees, we interviewed 20 experienced professionals in multinational corporations (MNCs) in the information technology sector in India. Deploying Gioia’s methodology for qualitative analysis, our investigation revealed five critical skills for employee upskilling: data analysis, digital, complex cognitive, decision making and continuous learning skills.

摘要

人工智能 (AI) 的支持者设想了一种场景，其中智能机器将执行人类执行的日常任务，从而减轻他们从事创造性追求的工作。虽然人们普遍担心相应的失业，但组织智囊团保证人机能力的协同作用达到顶峰。利用动态技能、新人力资本和人工智能工作替代理论，我们认为人工智能的引入和采用需要员工提高自己的技能。为确定对提升员工技能至关重要的关键技能，我们采访了印度信息技术领域跨国公司 (MNC) 的 20 位经验丰富的专业人士。使用 Gioia 的定性分析方法，我们的调查揭示了员工提升技能的五项关键技能：