Dampak Teknologi AI pada Tren Ketenagakerjaan: Peluang dan Tantangan Masa Depan

  • Raihan Ganteng Teknik Mesin

Abstract

This article examines the impact of artificial intelligence (AI) technology on employment trends across various economic sectors. Using a literature review method, it explores opportunities such as operational efficiency and new job creation, alongside challenges like job automation that may replace human roles. The findings indicate that AI has significant potential to drive economic growth while posing social risks. This article provides strategic recommendations to support workforce adaptation to changes driven by AI, emphasizing the importance of collaboration among stakeholders to create an inclusive employment ecosystem amidst rapid AI advancements. exploring the specific impacts of AI in certain sectors, such as education, health, and energy. In addition, in-depth studies of workers' adaptation strategies in developing countries are also important to ensure a just transition.

Downloads

Download data is not yet available.

References

Adha, L. A. (2020). Digitalisasi Industri Dan Pengaruhnya Terhadap Ketenagakerjaan Dan Hubungan Kerja Di Indonesia. Journal Kompilasi Hukum, 5(2), 267–298. https://doi.org/10.29303/jkh.v5i2.49

Ananda, E. R., & Marno, M. (2023). Analisis dampak penggunaan teknologi media sosial terhadap perilaku bullying di kalangan siswa sekolah dasar ditinjau dari nilai karakter self-confident siswa dalam konteks pendidikan. EDUKATIF: Jurnal Ilmu Pendidikan, 5(5). http://repository.uin-malang.ac.id/16328/

Harahap, M. A. K., Haryanto, Lestari, V. L., Rinovian, & Munanadar, H. (2023). Pemanfaatan Teknologi Artificial Intelligences (AI) Bagi Dosen Dalam Menghadapi Tantangan Perguruan Tinggi Pada Era Disrupsi. INNOVATIVE: Journal Of Social Science Research, 3, 10566–10576. https://j-innovative.org/index.php/Innovative/article/view/6138/4310

Novita, Y., & Zahra, R. (2024). Penerapan Artificial Intelligence ( AI ) untuk Meningkatkan Efisiensi Operasional di Perusahaan Manufaktur : Studi Kasus PT XYZ. Jurnal Manajemen Dan Teknologi, 1(1), 11–21. https://doi.org/doi.org/10.35870/jmt.v1i1.773

Sugiarti, T. (2023). Menyelidiki Dampak Teknologi Kelas Terhadap Kemajuan Siswa pada Penelitian Tindakan Kelas Berbasis Kolaborasi (Analisis Prosedur, Implementasi dan Penulisan Laporan). TEACHING: Jurnal Inovasi Keguruan dan Ilmu Pendidikan, 3(2), 108-120. http://repository.uin-malang.ac.id/16258/

Suryadi, S., & Nasution, F. A. P. (2023). Revolusi Industri, Tren Pekerjaan Masa Depan, dan Posisi Indonesia. Jurnal Ketenagakerjaan, 18(2), 124–141. https://doi.org/10.47198/jnaker.v18i2.237

Suyanto, S., Judijanto, L., Baruno, A. D., Sugiyanto, H., & Sri Lestari, V. N. (2024). Inovasi Perekonomian Digital dalam mengatasi Disparitas Regional Strategi Baru dalam Kebijakan Perekonomian di Indonesia. Journal of Management and Bussines (JOMB), 6(3), 928–940. https://doi.org/10.31539/jomb.v6i3.8482

PlumX Metrics

Published
2025-03-18
How to Cite
Ganteng, R. (2025). Dampak Teknologi AI pada Tren Ketenagakerjaan: Peluang dan Tantangan Masa Depan. Maliki Interdisciplinary Journal, 3(3), 243-246. Retrieved from https://urj.uin-malang.ac.id/index.php/mij/article/view/13797
Section
Articles