Document Type : Research Paper
Authors
1 Assistant Prof., Department of Industrial Management, Faculty of Human Sciences, Meybod University, Meybod, Iran.
2 Masters student of Industrial Management, Department of Management, Meybod University, Meybod, Iran.
Abstract
Artificial Intelligence (AI), as one of the most transformative emerging technologies, is rapidly evolving and reshaping various sectors. For Iran, as a developing country, understanding the future trajectories of AI and implementing strategic planning for its optimal development are of critical importance. This study aims to explore the future of AI development in Iran using a structural scenario planning approach with a horizon set to 2035. The research is applied in nature and employs a descriptive-survey method for data collection. The statistical population includes university professors, managers, and experts in the AI industry. Unlike previous studies that primarily focused on specific domains of AI, this research adopts a comprehensive and national-level perspective, introducing the first structural scenario framework for AI development in Iran. It identifies and analyzes four key scenarios: the AI Vacuum, the AI Renaissance, the AI Mirage, and AI Transactions. These scenarios are built upon the analysis of critical driving forces, such as governmental policies, advanced technological infrastructure, challenges of technological singularity, geopolitical dynamics, innovation accelerators, and AI applications across industries. The findings reveal that the future development of AI in Iran is highly dependent on governmental support and the advancement of appropriate infrastructure. While critical scenarios demand immediate policy intervention, the more desirable ones offer significant opportunities for sustainable AI growth. These scenarios can serve as a foundation for designing targeted policy strategies, such as a national AI roadmap and the restructuring of innovation support systems, thereby providing a structured framework for decision-making under conditions of uncertainty.
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Main Subjects
- Alahi, M.E.E., Sukkuea, A., Tina, F.W., Nag, A., Kurdthongmee, W., Suwannarat, K., & Mukhopadhyay, S.C. (2023). Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors, 23(11), 5206. https://doi.org/10.3390/s23115206
- Awan, U., Shamim, S., Khan, Z., Zia, N.U., Shariq, S.M., & Khan, M.N. (2021). Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance. Technological Forecasting and Social Change, 168, 120766. https://doi.org/10.1016/j.techfore.2021.120766
- Bashiri, H. (2021). Artificial intelligence observatory of Economic Cooperation and Development Organization. Scientific Quarterly for Promotion of Science, 10(21), 90-105. https://sid.ir/paper/1035614/fa. [In Persian].
- Carrasco Ramírez, J.G., & Islam, M. (2024). Application of Artificial Intelligence in Practical Scenarios. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023,2(1), 14–19. https://doi.org/10.60087/jaigs.v2i1.41
- Charmchi, S., Kiani pour, P. and Mashayekh, J. (2023). Prediction and Navigation of World Technology Futures. Science and Technology Policy Letters, 13(2), 121-147. https://doi.org/ 20.1001.1.24767220.1402.13.2.6.0. [In Persian].
- De Jonge, D., Baarslag, T., Aydoğan, R., Jonker, C., Fujita, K., & Ito, T. (2019). The Challenge of Negotiation in the Game of Diplomacy. In M. Lujak (Ed.), Agreement Technologies: 6th International Conference, AT 2018, Revised Selected Papers (pp. 100-114). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11327 LNAI). Springer. https://doi.org/10.1007/978-3-030-17294-7_8
- De Spiegeleire, S., Matthijs M., & Tim Sweijs, H. (2017). AI –Today and tomorrow: Artificial Intelligence and the future of defence: Strategic implications for small and medium sized force providers. Hague Centre for Strategic Studies. http://www.jstor.com/stable/resrep12564.8
- Dellot, B., & Wallace-Stephens, F. (2017). The age of automation. Artificial intelligence, robotics and the future of low-skilled work, 44. https://www.thersa.org/globalassets/pdfs/reports/theautomation-report.pdf
- Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics. Procedia Social and Behavioral Sciences, 195, 564-573. https://doi.org/10.1016/j.sbspro.2015.06.134
- Fahey, L., & Randall, R. M. (Eds.). (1997). Learning from the future: Competitive foresight scenarios. John Wiley & Sons. ISBN-10: 9780471303527
- Fakhrai, M., & Ki-Qabadi, M. (2014). Looking at future research methods: introducing six important and widely used techniques in future research. Tehran: Einde Pazheh Publications. https://doi.org/10.22034/sspp.2023.2005798.3443. [In Persian].
- Falkenreck, C., & Wagner, R. (2017). The internet of things – Chance and challenge in industrial business relationships. Industrial Marketing Management, 66, 181–195. https:/doi.org/10.1016/j.indmarman.2017.08.007
- Fartash, K., Kheiri, E., & Hadi, N. (2024). Exploring Future Scenarios of Artificial Intelligence Development: a Media Scanning Approach. Industrial Management Journal, 16(3), 361- 397. https://doi.org/22059/IMJ.2024.375152.1008148. [In Persian].
- Fertash, K., Khayatan Yazdi, M., Ghorbani, A. (2021). Iran's renewable energy development scenarios in the horizon of 1420 with a forward-looking approach. Futures of Management Quarterly, 32(4), 153-138. https://doi.org/10.30495/jmfr.2022.19496. [In Persian].
- Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology and health, 25(10), 1229-1245. https://doi.org/10.1080/08870440903194015
- Fu, Z., Barbara, A., & Scupelli, P. (Eds.). (2025). Digital futures in human-computer interaction: Design thinking for digital transformation (1st ed.). CRC Press. https:/doi.org/10.1201/9781032693606
- Godet, M. (2006). Creating Futures: Scenario Planning as a Strategic Management Tool. ISBN-10: 2717852441
- Guni, A., Varma, P., Zhang, J., Fehervari, M., & Ashrafian, H. Artificial Intelligence in Surgery: The Future Is Now. Eur Surg Res (2024) 65 (1): 22–39. https://doi.org/10.1159/000536393
- Inayatullah, S. (2008). Six Pillars: Futures Thinking for Transforming. Foresight, 10(1), 4-21. https://doi.org/10.1108/14636680810855991
- Inayatullah, S. (2004). Causal layered analysis: Theory, historical context, and case studies. In The causal layered analysis reader: Theory and case studies of an integrative and transformative methodology (pp. 1-52). Tamkang University Press. ISBN: 957907885
- Johnson, J. (2019). Artificial intelligence & future warfare: implications for international security Defense & Security Analysis,35: 1-23. https:/doi.org/1080/14751798.2019.1600800
- Kelly, K. (2017). The inevitable: Understanding the 12 technological forces that will shape our future. Penguin. https:/doi.org/1080/24751448.2017.1292803
- Kopka, A., & Grashof, N. (2022). Artificial intelligence: Catalyst or barrier on the path to sustainability? Technological Forecasting and Social Change, 175, 121318. https://doi.org/10.1016/j.techfore.2021.121318
- Meiring, C., Dixit, A., Harris, S., MacCallum, N. S., Brealey, D. A., Watkinson, P. J., ... & Ercole, A. (2018). Optimal intensive care outcome prediction over time using machine learning. PloS one, 13(11), e0206862. https://doi.org/10.1371/journal.pone.0206862
- Menzies, J., Sabert, B., Hassan, R., & Mensah, P. (2024). Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice. Thunderbird Int, Bus, Rev, 66, 185–200. https://doi.org/1002/tie.22370
- Mir, MM., Mir, GM., Raina, NT., Mir, SM., Mir, SM., Miskeen, E., Alharthi, MH., & Alamri, MMS. (2023). Application of Artificial Intelligence in Medical Education: Current Scenario and Future Perspectives. J Adv Med Educ Prof, 11(3), 133- 140. https://doi.org/10.30476/ JAMP.2023.98655.1803.
- Mirzaei, A. (1403). Future scenarios of the impact of artificial intelligence on various dimensions of human life. Quarterly Journal of Strategic Future Studies, 3(9), 7-30. https://doi.org/20.1001.1.28212592.1403.5.5.2
- Mohamed Hashim, M. A., Tlemsani, I., & Matthews, R. (2021). Higher education strategy in digital transformation. Education and Information Technologies, 1-25. https://doi.org/10.1007/s10639-021-10739-1
- MohammadHosseini, B., Hadizadeh, M., & Khaflebashi, S. F. (2020). Drivers of sustainable cyber delivery in government using artificial security methods. Iran's Future Research Quarterly, 5(2), 35-65. https://doi.org/10.30479/jfs.2021.14002.1221. [In Persian].
- Mohammadi Zanjireh M., Mortazavi, S.M., & Hadizadeh, M. (2024). Futures studies for development of smart education considering the role of new technologies. Journal of Applied Educational Leadership, 5(1), 176-194. https://doi.org/10.22098/AEL.2024.14391.1401. [In Persian].
- Mowlaei, M. (2022). Future technology in Iranian science fiction cinema, techno-friendly or techno-phobic. Future Studies of Iran, 6(2), 199-219. https://doi.org/10.30479/jfs.2022.16161.1330. [In Persian].
- Qiyasi Fard, N., Mohebbi, H., & Nabi Meybodi, M. (2023). Analysis of barriers to entrepreneurship development in deprived areas using Delphi and ANP methods. Journal of Entrepreneurship Development. 16(1), 61-76. https://doi.org/22059/jed.2023.348813.654053 [In Persian].
- Russell, S.J., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach. Pearson. https://thuvienso.hoasen.edu.vn/handle/123456789/8967
- Shaddel, A. (2023). The future of management and decision-making with the S Sdeployment of artificial intelligence systems. Strategic Futures Research Quarterly, 2(5), 115-130. https://doi.org/20.1001.1.28212592.1402.2.5.5.2 [In Persian].
- Torfi, S., Mohebbi, H. and Babaei meybodi, H. (2025). Identification and Structural Analysis of Drivers Influencing the Future of Renewable Energy Technologies in Iran (Case Study: Solar Energy). Journal of sustainable Energy Systems, 4(3). doi: 10.22059/ses.2025.388342.1112
- Trujillo-Cabezas, R. (2024). Investigating the relationship between foresight methods and artificial intelligence to strengthen collective future-building in areas of social instability. Foresight, 27 (2), 267–305. https://doi.org/10.1108/FS-11-2023-0231
- Van der Heijden, K. (2005). Scenarios: the art of strategic conversation. John Wiley & Sons. ISBN: 978-0-470-02368-6
- Wajcman, J. (2017). Automation: is it really different this time? The British journal of sociology, 68(1), 119-127. https://doi.org/10.1111/1468-4446.12239
- Wamba, S.F., Bawack, R.E., Guthrie, C., Queiroz, M.M., & Carillo, K.D.A. (2021). Are we preparing for a good AI society? A bibliometric review and research agenda. Technological Forecasting and Social Change, 164, 120482. https://doi.org/10.1016/j.techfore.2020.120482
- Yousefi, M., Ghorbanpour Yami, M., & Hajiani, E. (2023). Imaging the capabilities and functions of the future of robotics in the horizon of 1414. Crisis Management and Emergency Situations, 1(4), 161–188. DOR: https://doi.org/20.1001.1.27173674.1402.4.1.6.1. [In Persian].
- Zeighami, R., hariri, H. and Eivazi, M. (2024). Artificial Intelligence and Its Function in Futures Studies: Focusing on the Domain of Watching (Scanning and Monitoring). Strategic Futures Studies, 3(10), 75-96. https://doi.org/20.1001.1.28212592.1403.3.10.4.8 [In Persian].
- Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23,100224. https://doi.org/10.1016/j.jii.2021.100224
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