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Abstract
This study aims to examine the upskilling and reskilling strategies implemented by Startup XYZ in response to the integration of artificial intelligence (AI) into its operations. A qualitative single-case study design was employed at a technology-based transportation startup in Bali, Indonesia, during the period of February to April 2025. Five informants were purposively selected, consisting of one HR manager, one line manager, and three employees who had participated in training programs. Inclusion criteria required direct involvement in program planning or participation for at least three months. Data were collected through in-depth interviews (45–60 minutes each), observation of two training sessions (±2 hours each), and document reviews, then analyzed using thematic analysis. The findings show that upskilling enhanced technical competencies, particularly in AI-based data analysis and decision-making, while reskilling facilitated transitions from administrative to AI-related roles. Key supporting factors included strong management commitment, collaboration with training partners, digital infrastructure, and employee readiness. However, challenges were identified, including budget constraints, employee resistance, uneven competencies, and conflicts between training schedules and operational workloads. The study concludes that upskilling and reskilling are effective strategies for improving workforce adaptability and competitiveness in small startups. Practically, modular training design, flexible scheduling, and career development pathways are recommended to overcome financial and psychological barriers, providing a scalable model for other startups undergoing AI-driven transformation.
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References
- Alviani, D., Hilmiana, W., Widianto, S., & Muizu, W. O. Z. (2024). Workforce agility: a systematic literature review and research agenda. Frontiers in Psychology, 15, 1376399. https://doi.org/10.3389/fpsyg.2024.1376399
- A.R., & Shemluck, S. H. N. (2023). Scaling AI across talent management in financial services organizations. Deloitte.
- Brynjolfsson, E., Chandar, B., & Chen, R. (2025). Canaries in the coal mine? Six facts about the recent employment effects of artificial intelligence. In Stanford Digital Economy Lab. Stanford University.
- Company, M. &. (2024). The State of AI in 2024: Reskilling for the Future of Work. McKinsey Global Institute.
- Consortium, A. I. W. (2025). Enterprises are concerned about “critical shortages” of staff with AI ethics and security expertise.
- Dantes, I. G. R., Adnyana, P. B., & Surjono, H. D. (2019). Evaluation of e-learning as a learning agent. International Journal of Innovation and Learning, 25(4), 254–266. https://doi.org/10.1504/IJIL.2019.099989
- Deloitte. (2024). AI and the Future of Work: Building Human-Centric Transformation. Deloitte Insights.
- Divayana, D. G. H. (2020). Model Evaluasi Divayana: Deskripsi dan aplikasi dalam evaluasi layanan pendidikan berbasis ICT. Universitas Pendidikan Ganesha.
- Djajadi, M. (2024). Efektivitas In-House Training Berbasis AI dalam Meningkatkan Kompetensi Widyaiswara di BPSDM Sulawesi Selatan. Jurnal Widyaiswara Indonesia, 5(3), 13–26.
- Forum, W. E. (2025a). Future of Jobs Report 2025: The jobs of the future.
- Forum, W. E. (2025b). Reskilling Revolution.
- Gupta, R., & Sharma, P. (2022). Leveraging artificial intelligence for strategic workforce planning: Predicting future skill needs. International Journal of Human Resource Studies, 12(4), 56–72. https://doi.org/10.5296/ijhrs.v12i4.19876
- Hasan, M., Haque, M. A., Nishat, S. S., & Hossain, M. M. (2024). Upskilling and Reskilling in a Rapidly Changing Job Market: Strategies for Organizations to Maintain Workforce Agility and Adaptability. European Journal of Business and Management Research, 9(6).
- Hernández, M., López, J., & Rivera, P. (2024). Immersive AI simulations for workforce training: Enhancing critical thinking and problem-solving. Journal of Workplace Learning, 36(2), 101–118. https://doi.org/10.1108/JWL-07-2023-0112
- Heryanda, K. K. (2019). The effect of job insecurity on turnover intention through work satisfaction in employees of PT Telkom Access Singaraja. International Journal of Social Science and Business, 3(4), 424–432.
- Johnson, T. (2025). Ethical implications of AI in corporate learning and development. Human Resource Development International, 28(1), 45–63. https://doi.org/10.1080/13678868.2024.1998745
- Lee, H., & Chen, M. (2023). Personalized AI learning and employee adaptability in digital transformation. International Journal of Training and Development, 27(1), 45–62. https://doi.org/10.1111/ijtd.12345
- Metarini, R. A., & Rusilowati, U. (2023). Optimizing Learning Organizations in the Digital Era in the Business Sector in Indonesia. Jurnal Ad’ministrare.
- Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The impact of artificial intelligence on workers’ skills: Upskilling and reskilling in organisations. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 39–68. https://doi.org/10.28945/5078
- Pearson. (2025). Lost in Transition: Fixing the Skills Gap.
- Prasad, S. (2025). Resistensi terhadap perubahan dalam program pelatihan teknologi. Jurnal Psikologi Industri, 12(3), 67–79.
- Putra, K. E. S., Atidira, R., Suarmaja, I. B. K., Kusuma, G. W., & Atmaja, I. M. D. (2021). Impact of advertising and publicity on student decisions at the Faculty of Economics UNDIKSHA BT - Proceedings of the 6th International Conference on Tourism, Economics, Accounting, Management, and Social Science (TEAMS 2021). https://doi.org/10.2991/aebmr.k.211124.015
- PwC. (2023). AI and the workforce of the future: Upskilling for employability. PwC Global Research.
- PwC. (2024). CEO Survey: Navigating Talent Gaps in the Age of AI. PwC Global.
- Ramachandran, K. K., Srivastava, A., Panjwani, V., Kumar, D., Cheepurupalli, N. R., & Mohan, C. R. (2024). Developing AI-powered training programs for employee upskilling and reskilling. Journal of Innovative Education Research, 4(2), 45–59. https://doi.org/10.52783/jier.v4i2.903
- Review, H. B. (2024). AI in the Workforce: Beyond Efficiency to Resilience. Harvard Business School Publishing.
- Setyaningsih, D., & Putri, C. J. (2025). Persepsi mahasiswa terhadap penggunaan kecerdasan buatan (AI) dalam pengembangan kompetensi MSDM. Journal of Artificial Intelligence and Digital Business (RIGGS), 4(2), 151–156.
- Suarmanayasa, I. N. (2024). Bumdesa’s role in village poverty reduction. Management Studies and Entrepreneurship Journal, 5(1), 44–55.
- Suharsono, N. (2018). Implementasi model manajemen strategis dan operasional berbasis kinerja di Fakultas Ekonomi Undiksha. ResearchGate.
- TalentLMS. (2024). The State of Upskilling & Reskilling: 2024 Research.
- Tariq, M. U. (2024). The role of AI in skilling, upskilling, and reskilling the workforce. IGI Global.
- Telagawathi, N. L. W. S., Suci, N. M., Mayasari, N. M. A. D., & Yuliantini, N. N. (2019). Nilai yang dipersepsikan terhadap kepuasan pelanggan serta dampaknya pada loyalitas pelanggan industri jasa perbankan di Kota Denpasar. Ekuitas: Jurnal Ekonomi Dan Keuangan, 23(3), 387–402.
- Wang, K.-H., & Lu, W.-C. (2025). AI-induced job impact: Complementary or substitution? Empirical insights and sustainable technology considerations. Sustainable Technology and Entrepreneurship, 4, 100085. https://doi.org/10.1016/j.stae.2024.100085
- Widiastini, N. M. A., Trianasari, T., & Rahmawati, P. I. (2023). How is the tourism informal sector resilience in Bali? Prospek: Jurnal Manajemen Dan Bisnis, 5(1), 25–40.
- Yazdani, A., & Wells, R. (2018). Barriers for implementation of successful change to prevent musculoskeletal disorders and how to systematically address them. Applied Ergonomics, 73, 122–140.
- Yudiaatmaja, F., & Trianasari, T. (2023). The impact of the collapse of Silicon Valley Bank on the volatility of sectoral stock indices on the Indonesian Stock Exchange. Jurnal Ilmiah Akuntansi, 8(2), 155–168.
- Yulianthini, N. N., Mayasari, N. M. D. A., Dewanti, M. A., & Atidira, R. (2021). Customer orientation and competitor orientation influence on the marketing performance of restaurant MSEs in Buleleng District. ResearchGate.
- Zhang, Y., & Li, X. (2023). Adaptive AI learning systems and employee engagement in digital workplaces. Computers in Human Behavior, 145, 107736. https://doi.org/10.1016/j.chb.2023.107736
