Dampak Ekonomi Komparatif ASI-AGI Melalui Kerangka Marxis Dan Weberian
DOI:
https://doi.org/10.35968/jbau.v10i2.1522Keywords:
Maxis dan Weberian, AI, ASI, AGIAbstract
Penelitian ini bertujuan menganalisis dan membandingkan dampak ekonomi dari Artificial Specialized Intelligence (ASI) dan Artificial General Intelligence (AGI) dengan merujuk pada kerangka ekonomi Marxis dan Weberian. Dengan menelaah beberapa sumber karya ilmiah, kajian ini menemukan bahwa literatur saat ini didominasi oleh kritik ekonomi Marxis atas peran AI dalam mempercepat otomasi, transformasi nilai kerja, serta kecenderungan memunculkannya kepemilikan “dead labor” dan data. Beberapa artikel juga mengembangkan model ekonomi formal yang memproyeksikan ketimpangan serta perlunya kebijakan redistribusi di era AGI. Namun, hanya sedikit karya yang secara eksplisit membandingkan ASI dan AGI secara berdampingan, dan penggunaan kerangka Weberian (rasionalisasi, birokrasi) masih sangat terbatas. Terdapat kesenjangan penelitian dalam analisis banding antara ASI dan AGI serta perlunya pendekatan interdisipliner untuk memastikan kebijakan respons yang tepat terhadap transformasi ekonomi di era AI. Gabungan dua perspektif ini memberikan lensa kritis dan komprehensif untuk menganalisis dampak ekonomi dari evolusi ASI menuju AGIReferences
Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30. https://doi.org/10.1257/jep.33.2.3
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922
Biondi, Z. (2023). The Specter of Automation. Philosophia, 51(3), 1093–1110. https://doi.org/10.1007/s11406-022-00604-x
Bunyamin, J. B. (2018). Agi (Artificial General Intelligence ): Peluang Indonesia Melompat Jauh Kedepan. Jurnal Sistem Cerdas, 01(02), 1–11.
Çetinkaya Yarımçam, E., & Kara, U. Y. (2024). an Interview With John Downey on Communication and Media Studies. Moment Journal, 11(1), 24–34. https://doi.org/10.17572/mj2024.1.24-34
Chen, D., & Tian, Y. (2023). Challenges, Risks, and Opportunities: Marxist Political Economy Review of AIGC. Computer Sciences and Mathematics Forum, 80. https://doi.org/10.3390/cmsf2023008080
CRAWFORD, K. (2021). The Atlas of AI. Yale University Press. https://doi.org/10.2307/j.ctv1ghv45t
Egan, M. (2004). Towards a Political Economy of Information. Journals.Sagepub.Com/Home/Cnc, 1(3), 519–545. https://doi.org/10.1177/03098168251326189
Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative AI. Business & Information Systems Engineering, 66(1), 111–126. https://doi.org/10.1007/s12599-023-00834-7
Gray, M. L., & Suri, S. (2019). Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass. https://api.semanticscholar.org/CorpusID:260447696
Ilya Sutskever. (2013). Raining ecurrent eural etworks. Ph.D Thesis.
Karakilic, E. (2022). Why Do Humans Remain Central to the Knowledge Work in the Age of Robots? Marx’s Fragment on Machines and Beyond. Work, Employment and Society, 36(1), 179–189. https://doi.org/10.1177/0950017020958901
Khanal, S., Zhang, H., & Taeihagh, A. (2025). Why and how is the power of Big Tech increasing in the policy process? The case of generative AI. Policy and Society, 44(1), 52–69. https://doi.org/10.1093/polsoc/puae012
Khreiche, M. (2020). A Book Review of Inhuman Power: Artificial Intelligence and the Future of Capitalism. Journal of Digital Social Research, 2(2), 73–77. https://doi.org/10.33621/jdsr.v2i2.21
Korinek, A. (2016). Economic Policy Challenges For The Age Of Ai. Working Paper 32980, 1–23.
Kosar, A. (2024). Marx, Automation and the Future of Work. Global Labour Journal, 15(2), 83–96. https://doi.org/10.15173/glj.v15i2.5402
Lan, Z. (2022). From Animals to Artificial Intelligence: Non-Human Beings’ Intellectual Property Protection by “Judicial Capacity for Copyrights.” Beijing Law Review, 13(04), 697–714. https://doi.org/10.4236/blr.2022.134045
Liu, L. (2025). What is the Future of Work in the Generative AI Era? A Marxist and Ricardian Analysis. TripleC , 23(1), 131–148. https://doi.org/10.31269/triplec.v23i1.1536
Liu, Z. (2021). Sociological perspectives on artificial intelligence: A typological reading. Sociology Compass, 15(3), 1–13. https://doi.org/10.1111/soc4.12851
Marx, K. (1887). Capital Volume 1: A Critique of Political Economy Chapter 7 and 8. Progress Publishers, 1(2), 1–777.
McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine, 27(4), 12–14.
Mittelman, J. H. (2022). The Power of Algorithmic Capitalism. International Critical Thought, 12(3), 448–469. https://doi.org/10.1080/21598282.2022.2070858
Muldoon, James, Cant, Callum, Wu, Boxi, & Graham, Mark. (2024). A typology of artificial intelligence data work. Big Data & Society, 11(1), 20539517241232630. https://doi.org/10.1177/20539517241232632
Pasquale, F. A. (2015). The Black Box Society: The Secret Algorithms that Control Money and Information. In Harvard University Press.
http://scioteca.caf.com/bitstream/handle/123456789/1091/RED2017-Eng-8ene.pdf?sequence=12&isAllowed=y%0Ahttp://dx.doi.org/10.1016/j.regsciurbeco.2008.06.005%0Ahttps://www.researchgate.net/publication/305320484_SISTEM_PEMBETUNGAN_TERPUSAT_STRATEGI_MELESTARI
Rodin, L. (2019). Robo-revolution: A marxist approach to social uprising in the High-Tech Age. Russian Sociological Review, 18(3), 224–244. https://doi.org/10.17323/1728-192x-2019-3-224-244
Shafer, M. (2023). Mute compulsion: A Marxist theory of the economic power of capital. Contemporary Political Theory, 24, 305–308. https://doi.org/10.1057/s41296-023-00638-0
Sørensen, S. B. (2024). Value and Productive Labour in the Era of Digital Technologies: Revisiting the Digital Labour Debate. TripleC, 22(2), 498–517. https://doi.org/10.31269/triplec.v22i2.1475
Steinhoff, J. (2021). The Social Reconfiguration of Artificial Intelligence: Utility and Feasibility. AI for Everyone? Critical Perspectives, Braverman 1998, 123–143. https://doi.org/10.16997/book55.h
Thuemmel, U. (2023). Optimal Taxation of Robots. Journal of the European Economic Association, 21(3), 1154–1190. https://doi.org/10.1093/jeea/jvac062
Turner, Bryan S. (2021). Book Review: Ali Shariati: Expanding the Sociological Canon. Journal of Classical Sociology, 22(2), 249–253. https://doi.org/10.1177/1468795X211059877
Wang, B., Ding, Y., Wang, C., Li, D., Wang, H., Bie, Z., Huang, Y., & Xu, S. (2022). G-ROBOT: An Intelligent Greenhouse Seedling Height Inspection Robot. Journal of Robotics, 2022. https://doi.org/10.1155/2022/9355234
Weber, M. (2014). The Protestant ethic and the spirit of capitalism. In Religion, Postcolonialism, and Globalization A Sourcebook. https://doi.org/10.4324/9781003320609-30
William Gilfeather, R. J. (2022). A World Without Work: Technology, Automation, and How We Should Respond. Theology and Science, 20(1), 133–134. https://doi.org/10.1080/14746700.2021.2012929
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 JURNAL BISNIS DAN AKUNTANSI UNSURYA
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
