AI-Driven Semiconductor Demand and Malaysia’s Export Conversion Gap

Authors

  • Zhang Juan Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia https://orcid.org/0009-0008-1774-9479
  • Choo Wei Chong School of Business and Economics, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia
  • Yee Choy Leong School of Business and Economics, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia
  • Lin Yihuan School of Business and Economics, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia https://orcid.org/0000-0002-8391-7732

DOI:

https://doi.org/10.56532/mjbem.v5i2.239

Keywords:

Artificial intelligence, Semiconductor cycle, Export responsiveness, Global value chains, Malaysia

Abstract

The post-2023 AI semiconductor cycle has raised Malaysia’s strategic visibility as a semiconductor-linked production hub, but visibility does not necessarily translate into export capture. This study examines whether global semiconductor demand has strengthened Malaysia’s electronics-related export responsiveness during the AI-era. Using monthly data from January 2019 to January 2026, Malaysia’s electronics-related exports are proxied by SITC Section 7, the most consistent high-frequency public proxy available for this analysis, while global semiconductor demand is measured using worldwide semiconductor billings. A distributed lag interaction framework is employed to capture the temporal dynamics of demand transmission and to distinguish immediate exposure from cumulative export conversion. The results show that Malaysia remains positively responsive to the global semiconductor cycle, yet the post-AI interaction does not produce contemporaneous amplification. More importantly, the AI-era reshapes the timing of transmission without increasing cumulative strength. Baseline cumulative responsiveness over the six-month window exceeds the AI-era cumulative response, revealing a clear export conversion gap. This gap highlights a structural mismatch between Malaysia’s established strengths in downstream electronics and back-end semiconductor activities and the AI hardware cycle’s concentration in advanced logic, high-performance computing, memory intensity, data-centre infrastructure, and advanced packaging. The findings challenge the assumption that semiconductor supply-chain participation automatically converts AI-driven demand into export gains. The study contributes to global value-chain research and semiconductor industrial-policy debates by offering a trade-based diagnostic of whether strategic visibility becomes measurable export responsiveness.

References

Andrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. doi: https://doi.org/10.2307/2951764

Antràs, P., & Chor, D. (2013). Organizing the global value chain. Econometrica, 81(6), 2127–2204. doi: https://doi.org/10.3982/ECTA10813

Anuar, A. (2026). Neutrality by sector: Malaysia’s geoeconomic alignment under Anwar. ISEAS Perspective, 2026(37). ISEAS – Yusof Ishak Institute. url: https://www.iseas.edu.sg/articles-commentaries/iseas-perspective/2026-37-neutrality-by-sector-malaysias-geoeconomic-alignment-under-anwar-by-amalina-anuar/

Athukorala, P.-C. (2014). Growing with global production sharing: The tale of Penang export hub, Malaysia. Competition & Change, 18(3), 221–245. doi: https://doi.org/10.1179/1024529414Z.00000000058

Bain & Company. (2024). Prepare for the coming AI chip shortage. url: https://www.bain.com/insights/prepare-for-the-coming-ai-chip-shortage-tech-report-2024/

Baldwin, R., & Venables, A. J. (2013). Spiders and snakes: Offshoring and agglomeration in the global economy. Journal of International Economics, 90(2), 245–254. doi: https://doi.org/10.1016/j.jinteco.2013.02.005

Dedrick, J., Kraemer, K. L., & Linden, G. (2010). Who profits from innovation in global value chains? A study of the iPod and notebook PCs. Industrial and Corporate Change, 19(1), 81–116. doi: https://doi.org/10.1093/icc/dtp032

Deloitte. (2024). 2024 semiconductor industry outlook. url: https://www.deloitte.com/global/en/industries/tmt/perspectives/semiconductor-industry-outlook.html

Department of Statistics Malaysia. (2026). Monthly trade by SITC section (1 digit) [Data set]. OpenDOSM. url: https://open.dosm.gov.my/data-catalogue/trade_sitc_1d

Ernst, D. (2002). Global production networks in East Asia’s electronics industry and upgrading perspectives in Malaysia (East-West Center Working Papers, Economics Series No. 44). East-West Center. url: https://ideas.repec.org/p/ewc/wpaper/wp44.html

Gereffi, G., Humphrey, J., & Sturgeon, T. (2005). The governance of global value chains. Review of International Political Economy, 12(1), 78–104. doi: https://doi.org/10.1080/09692290500049805

Hafiz, M. I. A. H., Azmi, E. D. S. K., Azlie, M. I. N. N., Zaki, M. H., Mazilan, M. A. H., Mazuki, M. S. M., Nor, M. I. N. M., Ghani, J. A., Rahmat, M. S., & Khamis, N. K. (2025). Application of artificial intelligence in electronics and semiconductor industries. Jurnal Kejuruteraan, 37(7), 3245–3253. doi: https://doi.org/10.17576/jkukm-2025-37(7)-11

Hummels, D., Ishii, J., & Yi, K.-M. (2001). The nature and growth of vertical specialization in world trade. Journal of International Economics, 54(1), 75–96. doi: https://doi.org/10.1016/S0022-1996(00)00093-3

Johnson, R. C., & Noguera, G. (2012). Accounting for intermediates: Production sharing and trade in value added. Journal of International Economics, 86(2), 224–236. doi: https://doi.org/10.1016/j.jinteco.2011.10.003

Koopman, R., Wang, Z., & Wei, S.-J. (2014). Tracing value-added and double counting in gross exports. American Economic Review, 104(2), 459–494. doi: https://doi.org/10.1257/aer.104.2.459

Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1–3), 159–178. doi: https://doi.org/10.1016/0304-4076(92)90104-Y

Lu, Q., & Moorthy, R. (2026). Strategic responses and regional pressures: Malaysia in the U.S.-China semiconductor competition. The Pacific Review, 39(1), 177–207. doi: https://doi.org/10.1080/09512748.2025.2530476

Ministry of Investment, Trade and Industry. (2024). National Semiconductor Strategy. url: https://www.miti.gov.my/miti/resources/NSS_141024.pdf

Ministry of Investment, Trade and Industry. (2025, February 18). Pelan terperinci diluluskan bagi membangunkan 110 syarikat semikonduktor bernilai tinggi Malaysia di bawah Strategi Semikonduktor Nasional [Detailed plan approved to develop 110 high-value Malaysian semiconductor companies under the National Semiconductor Strategy]. url: https://www.miti.gov.my/index.php/announcements/view/857

Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708. doi: https://doi.org/10.2307/1913610

Ou, S., Yang, Q., & Liu, J. (2024). The global production pattern of the semiconductor industry: An empirical research based on trade network. Humanities and Social Sciences Communications, 11, 750. doi: https://doi.org/10.1057/s41599-024-03253-5

Prabheesh, K. P., & Vidya, C. T. (2025). Interconnected horizons: ASEAN’s journey in the global semiconductor trade network amidst the COVID-19 pandemic and supply chain realignments. Emerging Markets Finance and Trade, 61(8), 2185–2205. doi: https://doi.org/10.1080/1540496X.2024.2446387

Rasiah, R. (2010). Are electronics firms in Malaysia catching up in the technology ladder? Journal of the Asia Pacific Economy, 15(3), 301–319. doi: https://doi.org/10.1080/13547860.2010.494910

Said, F., & Tan, A. (2024). Malaysia’s semiconductor ecosystem amid geopolitical flux. Institute of Strategic & International Studies Malaysia. url: https://www.isis.org.my/2024/06/20/malaysias-semiconductor-ecosystem-amid-geopolitical-flux/

Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. doi: https://doi.org/10.1093/biomet/71.3.599

Sturgeon, T. J., & Kawakami, M. (2011). Global value chains in the electronics industry: Characteristics, crisis, and upgrading opportunities for firms from developing countries. International Journal of Technological Learning, Innovation and Development, 4(1–3), 120–147. doi: https://doi.org/10.1504/IJTLID.2011.041902

Timmer, M. P., Erumban, A. A., Los, B., Stehrer, R., & de Vries, G. J. (2014). Slicing up global value chains. Journal of Economic Perspectives, 28(2), 99–118. doi: https://doi.org/10.1257/jep.28.2.99

United Nations Statistics Division. (2008). Standard International Trade Classification, Revision 4: Correspondence tables. url: https://unstats.un.org/unsd/trade/sitcrev4.htm

United Nations Statistics Division. (2026). UN Comtrade database [Data set]. url: https://comtradeplus.un.org/

Wang, H., & Lim, G. (2023). Catching-up in the semiconductor industry: Comparing the Chinese and Malaysian experience. Asian Journal of Technology Innovation, 31(1), 49–71. doi: https://doi.org/10.1080/19761597.2021.2007144

Wong, C.-Y., Yeung, H. W.-C., Huang, S., Song, J., & Lee, K. (2024). Geopolitics and the changing landscape of global value chains and competition in the global semiconductor industry: Rivalry and catch-up in chip manufacturing in East Asia. Technological Forecasting and Social Change, 209, 123749. doi: https://doi.org/10.1016/j.techfore.2024.123749

World Semiconductor Trade Statistics. (2026a, March 6). Global semiconductor market grows 26% in 2025 to $796 billion. url: https://www.wsts.org/76/103/Global-Semiconductor-Market-grows-26-in-2025-to-796B

World Semiconductor Trade Statistics. (2026b). Historical billings report [Data set]. url: https://www.wsts.org/67/Historical-Billings-Report

Yahoo Finance. (2026). Historical price data [Data set]. url: https://finance.yahoo.com/

Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the Great Crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. doi: https://doi.org/10.1080/07350015.1992.10509904

Downloads

Published

09.10.2026

Issue

Section

Articles