劳动力
转化式学习
自动化
适应性
知识管理
工程类
业务
工程伦理学
工程管理
社会学
计算机科学
管理
经济增长
教育学
经济
机械工程
标识
DOI:10.55529/jaimlnn.44.11.21
摘要
This study explores the profound impact of artificial intelligence (AI) on workforce dynamics, focusing on automation trends and the imperative for skill development, exemplified by case studies of InnovateTech Manufacturing and SkillCraft Solutions. The findings underscore the vulnerability of routine tasks to automation, prompting a nuanced understanding of sector-specific challenges. Soft skills emerge as pivotal in an AI-centric job market, with a growing emphasis on adaptability and technological literacy. The study used mixed approach and using secondary as well as primary data with advocates for a holistic approach to workforce development, encouraging continuous learning, strategic automation, and collaboration across industries. Recommendations address the need for reskilling programs, industry-academia collaboration, and policies that safeguard workers in the evolving AI landscape. The abstract encapsulates the study's essence, highlighting the transformative journey toward a harmonious coexistence of automation and a skilled, adaptable workforce.
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