Journal of Smart Computing ISSN 2979-8752 · Biannual
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Research Article · Vol. 1, No. 1 (2025)

Future Trends of Artificial Intelligence: A Comprehensive Review of Emerging Technologies, Applications, and Societal Implications

Jian Wang* , Ameer El-Sayed

College of Science, China University of Petroleum (East China), Qingdao 266580, China · Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig 44511, Egypt

* Corresponding author: wangjiannl@upc.edu.cn

Abstract Artificial intelligence (AI) has evolved from a niche academic discipline into one of the most transformative forces shaping modern civilization. Over the past five years, the field has witnessed unprecedented advances driven by the development of large language models, multimodal generative systems, and domain-specific foundation models. This review paper synthesizes findings from 20 peer-reviewed, highly cited studies published between 2019 and 2024 to provide a comprehensive analysis of current AI trends and their projected trajectories. The paper examines key thematic areas, including scaling laws and emergent capabilities, multimodal AI architectures, applications in healthcare and life sciences, AI for climate action and sustainability, ethical governance frameworks, and sector-specific adoptions in finance and construction. Expert survey data from nearly 2,800 AI researchers indicate that machines may achieve human-level performance across all tasks within two decades. The paper concludes by identifying critical limitations, managerial insights for organizations adopting AI, and directions for future research.

Keywords: Artificial intelligence, Large language models, Foundation models, AI ethics, Future trends

DOI
10.5281/zenodo.22853843
Pages
27-38
Published
14 Sep 2025
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To cite this article: Wang, J., & El-Sayed, A. (2025). Future Trends of Artificial Intelligence: A Comprehensive Review of Emerging Technologies, Applications, and Societal Implications. Journal of Smart Computing , 1(1) , 27-38. https://doi.org/10.5281/zenodo.22853843

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