An investigation of skill requirements in artificial intelligence and machine learning job advertisements
Abstract
Due to the advent of big data and efficient computational resources, artificial intelligence (AI) and machine learning (ML) have seen massive growth in recent years. Informatics degree programs are scrambling to meet the ever-increasing market demand of such professions. To explore the skillsets required for AI and ML positions, the authors conducted a content analysis of online job advertisements posted on Indeed.com . They present a ranking of the relevant skills for the two positions. Further, they performed a pairwise comparison between AI and ML positions. Overall, it was observed that technical skills like data mining, programming, statistics and big data are more valued for ML positions than for AI positions. On the contrary, AI positions tend to be more generic, with an emphasis on communication skills. These clearly defined skills can be valuable for the hiring process as well as to revamp existing course curricula to cater to the increasing market demand.
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Employees who are comfortable with numbers and measurements can better understand and use machine learning algorithms to predict outcomes, classify data or optimise processes.
“In addition, employees who are comfortable with numbers and measurements can better understand and use machine learning algorithms to predict outcomes, classify data or optimise processes (Verma et al., 2022 ).”
From The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023) · cites this paper as Verma et al., 2022
Cites
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“Pejic Bach et al. (2020) also studied Industry 4.0 job descriptions, using text mining to develop a job profile that highlighted the required skills. The first group of these job profiles focused on the Internet of Things and smart production design and control. The second group was more generic, with application area…”
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“Wamba-Taguimdje et al. (2020) studied the influence of AI on firm performance.”
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The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations
Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023) · Informing Science: The International Journal of an Emerging Transdiscipline · doi:10.28945/5078 · Cited by 439 · see citing works
“In addition, employees who are comfortable with numbers and measurements can better understand and u se machine learning algorithms to predict outcomes, classify data or optimise processes (Verma et al., 2022 ).”
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- Authors
- Verma, A., Lamsal, K., & Verma, P.
- Affiliations
- Missouri Western State University (US)
- University of Kansas (US)
- Corresponding author
- Verma, Amit
- ORCID
- Verma, Amit
- Venue
- Industry and Higher Education
- Publisher
- SAGE Publications
- Published
- 2021-02-01
- Volume
- 36
- Issue
- 1
- Pages
- 63-73
- ISSN
- 0950-4222 (ISSN-L)
- 2043-6858
- OpenAlex
- W3127710218
- Cited by
- 115
- References
- 5
- Citations by year
- 2026: 16 · 2025: 23 · 2024: 37 · 2023: 21 · 2022: 13 · 2021: 5
- FWCI
- 17.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Industry and Higher Education (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
- Social Sciences › Education › Higher Education and Employability
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Keywords
- job advertisements, skill requirements, technical skills, communication skills, big data, data mining, programming skills, curriculum development, personnel selection
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