Emerging Technologies and the Transformation of Public Power: Opportunities, Challenges, and Future Directions

The use of technologies like Artificial Intelligence and Cloud Computing and Big Data Analytics is changing the way the government works. This is making things easier for people. Artificial Intelligence and Cloud Computing and Big Data Analytics are making things more efficient. People are getting an experience when they use these services.However there are problems that need to be solved. For example there are security threats. There is also the divide. This means some people do not have access to the internet. There are also issues. The government needs to make some changes.Any attempts by the government to use Artificial Intelligence and Cloud Computing and Big Data Analytics must be done in a way. The government must be transparent. This means they have to be honest, about what they're doing. The government must also include everyone.This will require some changes. The government will have to make some rules. The government will have to keep doing research. Different groups will have to work. A good solution would be to focus on the people. The government should try to make things sustainable. This means they should try to make things that will last. The government should use Artificial Intelligence and Cloud Computing and Big Data Analytics to make things better. The government should make institutions that people can trust.

Aninakwah, K. A. (2026). Digital Transformation and AI Adoption in Government: Evaluating the Productivity Gains, Implementation Barriers, and Governance Risks. Journal of Information and Technology, 10(1), 1–17. https://doi.org/10.53819/81018102t4368 Bolívar, M. P. R., & Muñoz, L. A. (2022). Identification of research trends in emerging technologies implementation on public services using text mining analysis. Information Technology and People, 37(8), 43–65. https://doi.org/10.1108/itp-03-2021-0188 Damar, M., Köse, H. Ö., Cagle, M., & Özen, A. (2024). Mapping the Digital Frontier: Bibliometric and Machine Learning Insights Into Public Administration Transformation. Sayıştay Dergisi, 132, 9–41. https://doi.org/10.52836/sayistay.1455036 Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J. S., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994–101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002 Mergel, I., Dickinson, H., Stenvall, J., & Gascó‐Hernández, M. (2023). Implementing AI in the public sector. Public Management Review, 1–14. https://doi.org/10.1080/14719037.2023.2231950 Zuiderwijk, A., Chen, Y., & Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 38(3), 101577–101577. https://doi.org/10.1016/j.giq.2021.101577