Published: 2025-03-04
Future-Proofing AI Talent in The United States: The Role of Academia in Meeting Industry Demands
DOI: 10.35870/ijmsit.v5i1.3837
Sunish Vengathattil
- Sunish Vengathattil: Clarivate Analytics , United States
Article Metrics
- Views 0
- Downloads 0
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
The rapid growth of technology has created a strong demand for skilled professionals, requiring universities to adapt their programs to meet industry needs. This paper examines the role of higher education, especially in the United States, in preparing students for the future workforce by addressing key challenges such as keeping curricula up to date, securing research funding, and providing hands-on training. To tackle these issues, universities are introducing specialized programs, encouraging interdisciplinary learning, and building stronger partnerships with industries to close the skills gap. Additionally, new educational tools are being used to personalize learning and better equip students for technology-driven careers. This paper emphasizes that continuous innovation in higher education is essential to developing a well-prepared, industry-ready workforce, helping the U.S. maintain its leadership in the global economy.
Keywords
AI Talent Development ; Future-Proofing Workforce ; Academia-Industry Collaboration ; AI Education Strategies ; Skill Gap in AI ; Artificial Intelligence Curriculum
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the International Journal of Management Science and Information Technology. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 5 No. 1 (2025)
-
Section: Articles
-
Published: %750 %e, %2025
-
License: CC BY 4.0
-
Copyright: © 2025 Authors
-
DOI: 10.35870/ijmsit.v5i1.3837
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
-
Ahmed, S., & Thompson, N. (2023). What should be done about the growing influence of industry in AI research? Brookings Institution. Retrieved from https://www.brookings.edu/articles/what-should-be-done-about-the-growing-influence-of-industry-in-ai-research/
-
-
Faruqe, F., Watkins, R., & Medsker, L. (2021). Competency model approach to AI literacy: Research-based path from initial framework to model. Advances in Artificial Intelligence and Machine Learning, 2(4), 580-587. https://doi.org/10.54364/aaiml.2022.1140
-
Katsamakas, E., Pavlov, O. V., & Saklad, R. (2024). Artificial intelligence and the transformation of higher education institutions. Sustainability, 16(14), 6118. https://doi.org/10.3390/su16146118
-
McKinsey & Company. (2022). The AI talent gap and the future of work. McKinsey Global Institute Reports. Retrieved from https://www.mckinsey.com/reports
-
OECD. (2023). AI workforce trends and skills development. OECD Digital Economy Papers, 334. https://doi.org/10.1787/334-en
-
Siau, K., & Wang, W. (2020). Artificial intelligence education for students: An essential skill for the future. International Journal of Information Management, 50, 24-30. https://doi.org/10.1016/j.ijinfomgt.2019.12.017
-
Soori, M., Arezoo, B., & Dastres, R. (2023). Artificial intelligence, machine learning and deep learning in advanced robotics, a review. Cognitive Robotics, 3, 54-70. https://doi.org/10.1016/j.cogr.2023.04.001
-
Stanford University. (2021). Gathering strength, gathering storms: One-hundred-year study on artificial intelligence (AI100) 2021 report. Retrieved from https://ai100.stanford.edu/gathering-strength-gathering-storms-one-hundred-year-study-artificial-intelligence-ai100-2021-1/sq8
-
UNESCO. (2023). AI education in developing economies. UNESCO AI Policy Reports. Retrieved from https://unesco.org/reports
-
Wang, P., & Goertzel, B. (2022). The state of artificial general intelligence research. Artificial Intelligence, 299, 103574. https://doi.org/10.1016/j.artint.2021.103574
-
World Economic Forum. (2023). The future of jobs report. World Economic Forum Publications. Retrieved from https://www.weforum.org/reports
-
Xu, M., & Ouyang, H. (2022). Role of artificial intelligence in workforce development. American Institutes for Research. Retrieved from https://www.air.org/sites/default/files/2023-11/Role-of-Artificial-Intelligence-Workforce-Development-Nov-2023-508.pdf
-
Zhang, B., & Dafoe, A. (2019). Artificial intelligence: American attitudes and trends. AI & Society, 34(4), 539-576. https://doi.org/10.1007/s00146-018-0841-4
-
Zhang, Y., Gitzendanner, M. A., Maxwell, D. S., Richardson, J. W., Smith, K. E., Stubbs, E. A., Stucky, B. J., Zhang, J., & Deumens, E. (2021). Building an AI-ready RSE workforce. arXiv preprint arXiv:2111.04916. https://doi.org/10.48550/arXiv.2111.04916

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.