Research on Employee Skill Remodeling and Career Development Path of Enterprises in the Era of Artificial Intelligence

Mingchen Xu ()
Additional contact information
Mingchen Xu: Northeast Normal University, School of Economics and Management

A chapter in Proceedings of the 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025), 2025, pp 1273-1281 from Springer

Abstract: Abstract The rapid evolution of artificial intelligence (AI) technology has had a multidimensional and dynamic impact on the global labor market, replacing low and middle-skill jobs through automation, as well as giving rise to emerging occupations and exacerbating structural shifts in skill demand. This study focuses on the interaction between employee skill reshaping and career development paths in enterprises in the era of AI and systematically reveals the disruptive impact of technological advancements on job competencies through literature analysis, empirical research, and industry case studies. It is found that AI technology promotes the transformation of skill demand from Programmed Operation to Data-Driven and Composite Data-Driven, and human-computer collaboration has become the core path of ability upgrading; the career development path presents the trend of vertical promotion complexity and horizontal flow innovation, and the personalized design needs to balance the algorithmic efficiency and occupational autonomy; there is a bi-directional interactive relationship between skill remodeling and career path, and the skill upgrading promotes the career transformation, while the career goal inversely guides the career development path. There is a two-way interaction between skill remodeling and career paths, with skill upgrading promoting career transformation and career goals reversing the direction of skill investment. The study further points out that in the future, it is necessary to deepen the analysis of micro-mechanisms, incorporate ethical considerations, and explore the path of collaboration between government and enterprises, to address the challenges of algorithmic bias and skill mismatch.

Keywords: Artificial Intelligence; Skill Reshaping; Career Paths; Human-Machine Collaboration; Employment Polarization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-874-5_144

Ordering information: This item can be ordered from
http://www.springer.com/9789464638745

DOI: 10.2991/978-94-6463-874-5_144

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().