Artificial Intelligence, Human Development, and Inequality: A Cross-Country Analysis Using Global Development Data from Our World in Data
Keywords:
Artificial Intelligence, AI Readiness, Human Development Index, Digital Transformation, Cross-National AnalysisAbstract
The rapid advancement of artificial intelligence (AI) has emerged as a transformative force in global development; however, its implications for human development and national development trajectories remain contested. Variations in AI readiness across countries shape digital infrastructure, educational quality, and public policy capacity, which in turn influence the Human Development Index (HDI). This study aims to examine the interrelationships between AI readiness, human development, education, technology, and inequality across countries within the framework of Human Development Theory. The study adopts a qualitative approach based on thematic analysis of global data and documentary sources from Our World in Data, complemented by policy reviews, academic literature, as well as in-depth interviews and focus group discussions with experts in human development and technology. The data are analyzed comparatively across countries to identify patterns in the relationships between AI readiness, HDI, inequality indicators (IHDI and the Gini coefficient), and digital technology adoption. The findings indicate that countries with higher levels of AI readiness tend to exhibit stronger human development outcomes and greater capacity to manage demographic pressures and technological transformation. However, improvements in AI readiness do not automatically translate into inclusive human development. Social, digital, and educational inequalities are shown to be major barriers to converting AI potential into broader human capabilities. Education emerges as a key mediating factor in the relationship between AI readiness and human development. This study contributes to the literature by extending Human Development Theory into the context of AI, positioning AI as a conditional capability enhancer whose impacts are largely shaped by the quality of education and equity-oriented public policies. The main limitation of this study lies in its qualitative design and reliance on cross-national secondary data. Future research is encouraged to employ mixed-methods approaches and longitudinal analyses to deepen understanding of the causal relationships between AI, inequality, and human development.
References
Abdullah, & Wibowo, M. G. (2024). The Effect of Human Development Index (HDI), Inequality and Consumption on Poverty Levels in All Provinces in Indonesia. Jurnal Ilmu Ekonomi Terapan, 9(2), 257–269. https://doi.org/10.20473/jiet.v9i2.59249
Acemoglu, D., & Johnson, S. (2023). Rebalancing AI. International Monetary Fund.
Al-Zahrani, A. M., & Alasmari, T. M. (2025). A comprehensive analysis of AI adoption, implementation strategies, and challenges in higher education across the Middle East and North Africa (MENA) region. Education and Information Technologies, 30(8), 11339–11389. https://doi.org/10.1007/s10639-024-13300-y
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact. Sustainability (Switzerland) , 16(5). https://doi.org/10.3390/su16051790
Anggunia, S. D., Sowell, J., & Pérez-Ortiz, M. (2025). Decoding development: the AI frontier in policy crafting: A systematic review. Data and Policy, 7. https://doi.org/10.1017/dap.2025.10
Apata, O. E., Ajose, S. T., Apata, B. O., Olaitan, G. I., Oyewole, P. O., Ogunwale, O. M., Oladipo, E. T., Oyeniran, D. O., Awoyemi, I. D., Ajobiewe, J. O., Ajamobe, J. O., Appiah, I., Fakhrou, A. A., & Feyijimi, T. (2025). Artificial intelligence in higher education: a systematic review of contributions to SDG 4 (quality education) and SDG 10 (reduced inequality). International Journal of Educational Management, 4, 0–17. https://doi.org/10.1108/IJEM-12-2024-0856
Denzin, N. K., & Lincoln, Y. S. (2023). Denzin, N. K., & Lincoln, Y. S. (Eds.). (2023). The SAGE Handbook of Qualitative Research (6th ed.). SAGE Publications. SAGE Publications. https://doi.org/https://doi.org/10.4135/9781529762522
Dhakal, C., Adhikari, D., Subba, G., & Kapadi, P. R. (2025). Reimagining Nepal’s Future: AI for Human Development and Education. Panauti Journal, 3, 121–134. https://doi.org/10.3126/panauti.v3i01.83987
Diatmono et al., 2024. (2018). Research Article Research Article. Archives of Anesthesiology and Critical Care, 4(4), 527–534.
Insights, O. (2025). Government AI Readiness Index menunjukkan bahwa.
Jannah, N., Tarigan, A. A., Helmi, M., & Harahap, F. A. (2022). Rethinking Human Development: Contributions of Mahbub Ul Haq, Amartya Sen, and Umer Chapra to Conventional and Islamic Indices. Economica: Jurnal Ekonomi Islam, 13(2), 243–257. https://doi.org/10.21580/economica.2022.13.2.13576
Jöhnk, J., Weißert, M., & Wyrtki, K. (2021). Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors. Business and Information Systems Engineering, 63(1), 5–20. https://doi.org/10.1007/s12599-020-00676-7
Lengfelder, C., Tapia, H., & Biggeri, M. (2025). Navigating AI with a Human Development Compass–Shaping Tomorrow’s Capabilities. Journal of Human Development and Capabilities, 26(3), 439–448. https://doi.org/10.1080/19452829.2025.2520011
Melina, G. (2024). Pemetaan Kesiapan Dunia untuk Kecerdasan Buatan Menunjukkan Prospek yang Berbeda.
Putri, F. A., & Restikasari, W. (2025). The Influence of Democracy, Technology, and Investment on the Human Development Index in Indonesia. Formosa Journal of Multidisciplinary Research, 4(10), 4943–4956. https://doi.org/10.55927/fjmr.v4i10.546
Revolusi, P., & Febriandy, R. K. (2025). Human-AI Educational Collaboration: Facing Learning Challenges in the Digital Age. International Journal of Management, Entrepreneurship, Social Science and Humanities, 8(2), 289–312. https://doi.org/10.31098/ijmesh.v8i2.3229
Rioseco País, M., Vargas Vitoria, R., Martínez Salazar, C., & Silva Quiroz, J. (2025). Towards AI education: qualitative analysis of the perceptions of professors at a regional public university. Social Sciences and Humanities Open, 12(August 2024), 101668. https://doi.org/10.1016/j.ssaho.2025.101668
Rockall, E., Mendes Tavares, M., & Pizzinelli, C. (2025). AI Adoption and Inequality. IMF Working Papers, 2025(068), 1. https://doi.org/10.5089/9798229006828.001
Saldaña, J. (2021). The coding manual for qualitative researchers. SAGE Publications. https://doi.org/https://doi.org/10.4135/9781529762522
Salo-Pöntinen, H., & Saariluoma, P. (2022). Reflections on the human role in AI policy formulations: how do national AI strategies view people? Discover Artificial Intelligence, 2(1). https://doi.org/10.1007/s44163-022-00019-3
Sheetal N Acharya. (2025). Bridging the Skills Gap: Role of AI to Transform Talent Acquisition and Education in a Digitally Transformed World. Journal of Information Systems Engineering and Management, 10(55s), 787–797. https://doi.org/10.52783/jisem.v10i55s.11665
Sibarani, A. J. P., & Marpaung, P. (2025). Segmentation Analysis of Countries Based on Human Development Index and Artificial Intelligence Readiness Using Unsupervised Learning Methods : Principal Component Analysis and K-Means Clustering. 4(9), 1991–2002. https://doi.org/https://doi.org/10.55927/ijar.v4i9.15404
Sunita, Jain, M., & Nagpal, A. (2019). An Empirical Investigation on associated linkage between Human Development and ICT : A South Asian Perspective. Munich Personal RePEc Archive, 96167, 1–18. https://doi.org/https://doi.org/10.1017/dap.2025.10
Tsampazi, M., D’Oro, S., Polese, M., Bonati, L., Poitau, G., Healy, M., & Melodia, T. (2023). A Comparative Analysis of Deep Reinforcement Learning-Based xApps in O-RAN. Proceedings - IEEE Global Communications Conference, GLOBECOM, 1638–1643. https://doi.org/10.1109/GLOBECOM54140.2023.10437367
UNDP. (2025). Apa itu pembangunan manusia?
Uren, V., & Edwards, J. S. (2023). Technology readiness and the organizational journey towards AI adoption: An empirical study. International Journal of Information Management, 68. https://doi.org/10.1016/j.ijinfomgt.2022.102588
Vodka Oleksii, K. P. (2021). Penentuan permukaan respons berdasarkan parameter kekuatan dan getaran bilah turbin uap. https://doi.org/https://doi.org/10.20998/2078-9130.2021.2.249808
Wibowo, S. &. (2023). Indeks Pembangunan Manusia Indonesia pada tahun 2023 mencapai 74,39, meningkat 0,62 poin (0,84 persen) dibandingkan tahun sebelumnya (73,77).
Yar, M. A., Hamdan, M., Anshari, M., Fitriyani, N. L., & Syafrudin, M. (2024). Governing with Intelligence: The Impact of Artificial Intelligence on Policy Development. Information (Switzerland), 15(9). https://doi.org/10.3390/info15090556
Yoon, I. S. (2021). Amartya Sen’S Capabilities Approach: Resistance and Transformative Power in the Age of Transhumanism. Zygon, 56(4), 874–897. https://doi.org/10.1111/zygo.12740
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