Adaptive employment reform and inclusive skill transition action (AERISTA): The concept of collaborative labor law reform in response to automation

Authors

  • Muhammad Rafli Mawla Rakhman Faculty of Law, Universitas Brawijaya, Malang, East Java 65145, Indonesia
  • Charles Leonard Moniaga Faculty of Law, Universitas Brawijaya, Malang, East Java 65145, Indonesia

DOI:

https://doi.org/10.61511/gg.v2i2.2025.2302

Keywords:

automation, labor law reform, reskilling

Abstract

Background: The Indonesian Constitution and labor laws guarantee the right to work and a decent livelihood, yet these provisions face serious challenges in the Society 5.0 era where artificial intelligence, automation, and other digital technologies disrupt labor markets at a scale that outpaces legal adaptation. Previous studies have identified fragmented regulations concerning termination of employment, limited training mechanisms, and the absence of fiscal instruments to address automation’s social impact, but legal protections remain inadequate and reactive. This study aims to analyze the weaknesses of Indonesian labor law in mitigating automation-driven layoffs and to propose a comprehensive reform framework. Methods: Using normative legal research with statute, case, and conceptual approaches, supported by primary legal sources (such as the Constitution and Employment Law), secondary sources (expert analyses and journals), and tertiary materials (dictionaries and encyclopedias), data were collected through bibliographic studies and analyzed qualitatively through grammatical, systematic, and comparative interpretations. Findings: The findings show that Indonesian labor law is ill-prepared to anticipate mass layoffs, competency mismatches, and discrimination risks from AI-based recruitment, necessitating a holistic reform model. Conclusion: As a response, this study introduces, a four-pillar framework that integrates the strengthening of labor policies to provide legal certainty, National Talent Mapping (an AI-based system to profile and align workforce competencies with industry needs), Mandatory Reskilling programs to equip workers with adaptive and competitive skills, and a Targeted Automation Tax as a fiscal mechanism to control automation adoption and fund social protection for affected workers. Novelty/originality of this article: AERISTA thus positions workers not as passive victims of disruption but as active participants in labor transformation, ensuring inclusivity, social justice, and sustainability in employment law.

References

Ahsinin, A., & Pamungkas, P. (2023). Titik-Titik Kritis Persinggungan Kecerdasan Artifisial Dan Hak Asasi Manusia. Lembaga Studi dan Advokasi Masyarakat (ELSAM).

Angela, M. (2023). Perlindungan Hukum Terhadap Pekerja/Buruh atas Pemutusan Hubungan Kerja Akibat Otomatisasi di Era Society 5.0. Universitas Kristen Indonesia.

Arifin, A. S. (2023). Human capital investment: Meningkatkan daya saing global melalui investasi pendidikan. Jurnal Education and Development, 11(2), 174-179. https://doi.org/10.37081/ed.v11i2.4672

Attallah, O., Rahmawati, N., Damayanti, P., Sari, A. M., Zahro, N., Zahra, I. A., ... & Permatasari, N. A. (2024). Optimalisasi Kebijakan Ketenagakerjaan Untuk Mengatasi Dampak PHK Massal dan Meningkatkan Perlindungan Pekerja. Media Hukum Indonesia (MHI), 2(4), 643-654. https://doi.org/10.5281/zenodo.14271188

BPS. (2024). Keadaan Angkatan Kerja di Indonesia Agustus 2024. Badan Pusat Statistik Indonesia.

Cabinet Office of Government of Japan. (2016). Society 5.0: A Human-Centered Society. Cabinet Office of Government of Japan. https://www8.cao.go.jp/cstp/english/society5_0/index.html

CNBC Indonesia. (2025). Bukti Nyata Karyawan PHK Massal Diganti Robot, Mengerikan!. CNBC Indonesia. https://www.cnbcindonesia.com/tech/20250213131803-37-610366/bukti-nyata-karyawan-phk-massal-diganti-robot-mengerikan

Das, K., Wibowo, P., Chui, M., Agarwal, V., & Lath, V. (2019). Automation and The Future of Work in Indonesia: Jobs Lost, Jobs Gained, Jobs Changed. McKinsey & Company.

Davis, D. R., Mengus, E., & Michalski, T. K. (2020). Labor market polarization and the great divergence: Theory and evidence. CEPR Discussion Paper No. DP14623. https://ssrn.com/abstract=3594253

Dianova, E. R., & Kaendo, K. E. G. (2023). Tantangan dan inovasi ketenagakerjaan dalam perlindungan pekerja: Studi perbandingan ketenagakerjaan Indonesia dengan negara Lain. Journal of Education Religion Humanities and Multidiciplinary, 1(2), 226-232. https://doi.org/10.57235/jerumi.v1i2.1281

Fachriansyah, K., & Wulandari, C. (2022). Manajemen talenta riset dan inovasi Indonesia: Formulasi kebijakan menuju SDM unggul. Bappenas Working Papers, 5(1), 79-96. https://doi.org/10.47266/bwp.v5i1.115

Farasonalia, R., & Khairina. (2019). Menteri Tenaga Kerja: 23 Juta Pekerja Indonesia Terdampak Otomatisasi di Era Revolusi Industri 4.0. Kompas. https://regional.kompas.com/read/2019/11/26/16501841/menteri-tenaga-kerja-23-juta-pekerja-indonesia-terdampak-otomatisasi-di-era

Farhan, M. (2025). Seberapa Besar Peran AI dalam Proses Rekrutmen Pekerjaan? GoodStats. https://data.goodstats.id/statistic/seberapa-besar-peran-ai-dalam-proses-rekrutmen-pekerjaan-ZkFLk

Hidayanto, N. J., Listiana, S. N. P., Aulia, N. N., Amoro, K. H. P. D., Zahratu, N. S., & Wati, D. S. (2024). Tantangan dan perubahan terkini dalam hukum ketenagakerjaan: Analisis terhadap dinamika peraturan dan perlindungan pekerja. Innovative: Journal Of Social Science Research, 4(1), 971-980. https://doi.org/10.31004/innovative.v4i1.7781

Ihsan, R. N., & Hutama, R. G. (2023). United Nations Economic and Social Council (UNESC): Pemenuhan Hak Asasi Manusia Melalui Penerapan Pajak Karbon di Indonesia. Padjadjaran Journal of International Relations, 5(2), 165-177. https://doi.org/10.24198/padjir.v5i2.47088

Kasmawati, Y. (2017). Human capital dan kinerja karyawan (suatu tinjauan teoritis). JABE (Journal of Applied Business and Economic), 3(4), 265-280. http://dx.doi.org/10.30998/jabe.v3i4.1781

Kresnadi, M. I., & Narendra, D. A. (2023). Transformasi Upskiling dan Reskiling Sumber Daya Manusia Dalam Mengahadapi Tantangan Revolusi 4.0 Di Sektor Kepelabuhanan dan Logistik. EKONOMIKA45: Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan, 10(2), 169-174. https://doi.org/10.30640/ekonomika45.v10i2.870

Mahfud, M. M. D. (2013). Dekontruksi dan Gerakan Pemikiran Hukum Progresif. Thafa Media.

Muhaimin. (2020). Metode Penelitian Hukum. Mataram University Press.

Neltje, J., & Panjiyoga, I. (2023). Nilai-Nilai Yang Tercakup Di Dalam Asas Kepastian Hukum. Innovative: Journal of Social Science Research, 3(5), 2034-2039. https://j-innovative.org/index.php/Innovative/article/view/5009

Nurdifa, A. R. (2024). AI Perbesar Badai PHK Perusahaan Teknologi, 200.000 Pekerja Terdampak pada 2024. Bisnis Tekno. https://teknologi.bisnis.com/read/20240823/266/1793526/ai-perbesar-badai-phk-perusahaan-teknologi-200000-pekerja-terdampak-pada-2024

Ooi, V, & Glendon, G. (2018). Taxation of Automation and Artificial Intelligence as a Tool of Labour Policy. Ejournal of Tax Research, 19(2), 273–303. https://doi.org/10.2139/ssrn.3322306

Satriya, F., & Basid, A. (2024). Perlindungan Hukum Terhadap Pekerja Atas Pemutusan Hubungan Kerja Dengan Alasan Efisiensi Akibat Penggunaan Mesin Otomatisasi Pekerjaan Berdasarkan Pasal 43 Ayat (2) Peraturan Pemerintah Nomor 35 Tahun 2021 Tentang Perjanjian Kerja Waktu Tertentu. Duta Hukum, 1(2), 64-79. https://journal.univgresik.ac.id/index.php/dutahukum/article/view/243

Shidqie, C. P. (2025). Analisis Pajak Atas Robot Dan Otomatisasi Sebagai Langkah Dalam Menanggulangi Tingkat Pengangguran Teknologi. Journal of Tax Policy, Economics, and Accounting (TAXPEDIA), 3(1), 44-58. https://doi.org/10.61261/taxpedia.v3i1.76

Soepono, D. D., Siregar, R. A., & Siringoringo, P. (2025). Perkembangan Teknologi Mengharuskan Pekerja Untuk Memiliki Keterampilan Baru Yang Relevan. Honeste Vivere, 35(1), 50-61. https://doi.org/10.55809/hv.v35i1.421

Soewono, D. H. (2020). Aspek Hukum dan Penegakan Hukum PKWT: Menuju Pemikiran Hukum Progresif. Fakultas Hukum Universitas Kadiri, 2.

Sonderling, K. E., Kelley, B. J., & Casimir, L. (2022). The promise and the peril: Artificial intelligence and employment discrimination. University of Miami Law Review, 77(1). https://repository.law.miami.edu/umlr/vol77/iss1/3

Sundayana, D. (2025). Akibat Otomatisasi di 2025, Fenomena AI Hilangkan 300 Juta Pekerjaan. Deskjabar. https://deskjabar.pikiran-rakyat.com/digital/pr-1139289371/hari-buruh-85-juta-pekerjaan-hilang-akibat-otomatisasi-di-2025-fenomena-ai-hilangkan-300-juta-pekerjaan

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

Syahril, M. A. F., TL, A. D., Murdiono, M., & Asriyani, A. (2024). Artificial Intelligence Dan Hak Asasi Manusia: Kajian Hukum Tentang Potensi Bahaya Di Indonesia. Jurnal Litigasi Amsir, 11(3), 359-364. https://journalstih.amsir.ac.id/index.php/julia/article/view/443

Triwulandari, A. M. (2020). Problematika pemberian bantuan hukum struktural dan non struktural kaitannya dengan asas equality before the law. Jurnal Ilmiah Kebijakan Hukum, 14(3), 539-552. https://doi.org/10.30641/kebijakan.2020.v14.539-552

World Economic Forum. (2025). Future of Jobs Report 2025. World Economic Forum. https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf

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Published

2025-08-31

How to Cite

Rakhman, M. R. M., & Moniaga, C. L. (2025). Adaptive employment reform and inclusive skill transition action (AERISTA): The concept of collaborative labor law reform in response to automation . Green Governance: Exploring Politics, Social Justice, and the Environment, 2(2), 91–107. https://doi.org/10.61511/gg.v2i2.2025.2302

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