AI in the Workplace: A Systematic Review of Skill Transformation in the Industry

Leili Babashahi, Carlos Eduardo Barbosa (), Yuri Lima, Alan Lyra, Herbert Salazar, Matheus Argôlo, Marcos Antonio de Almeida and Jano Moreira de Souza
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Leili Babashahi: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
Carlos Eduardo Barbosa: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
Yuri Lima: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
Alan Lyra: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
Herbert Salazar: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
Matheus Argôlo: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
Marcos Antonio de Almeida: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
Jano Moreira de Souza: Program of Systems and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil

Administrative Sciences, 2024, vol. 14, issue 6, 1-28

Abstract: Artificial Intelligence (AI) applications streamline workflows, automate tasks, and require adaptive strategies for effective integration into business processes. This research explores the transformative influence of AI on various industries, such as software engineering, automation, education, accounting, mining, legal services, and media. We investigate the relationship between technological advancements and the job market to identify relevant skills for individuals and organizations for implementing and managing AI systems and human–machine interactions necessary for actual and future jobs. We focus on the essential adaptations for individuals and organizations to flourish in this era. To bridge the gap between AI-driven demands and the existing capabilities of the workforce, we employ the Rapid Review methodology to explore the integration of AI in businesses, identify crucial skill sets, analyze challenges, and propose solutions in this dynamic age. We searched the Scopus database, screening a total of 39 articles, of which we selected 20 articles for this systematic review. The inclusion criteria focused on conference papers and journal articles from 2020 or later and written in English. The selected articles offer valuable insights into the impact of AI on education, business, healthcare, robotics, manufacturing, and automation across diverse sectors, as well as providing perspectives on the evolving landscape of expertise. The findings underscore the importance of crucial skill sets, such as technical proficiency and adaptability, to successfully adopt AI. Businesses respond strategically by implementing continuous skill adaptation and ethical technology to address challenges. The paper concludes by emphasizing the imperative of balanced skill development, proactive education, and strategic integration to navigate the profound impact of AI on the workforce effectively.

Keywords: automation; skill development; workforce dynamics; artificial intelligence; technological advancements (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2024
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