paper2025UnreviewedOpen access

A Research Landscape of Agentic AI and Large Language Models: Applications, Challenges and Future Directions

Domenico Ursino, Gianluca Bonifazi, Enrico Corradini, Michele Marchetti, S. Brohi, Qurat-ul-ain Mastoi, N. Z. Jhanjhi, T. Pillai

Algorithms

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Abstract

Agentic AI and Large Language Models (LLMs) are transforming how language is understood and generated while reshaping decision-making, automation, and research practices. LLMs provide underlying reasoning capabilities, and Agentic AI systems use them to perform tasks through interactions with external tools, services, and Application Programming Interfaces (APIs). Based on a structured scoping review and thematic analysis, this study identifies that core challenges of LLMs, relating to security,

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@article{ursino2025research,
  title = {{A Research Landscape of Agentic AI and Large Language Models: Applications, Challenges and Future Directions}},
  author = {Domenico Ursino and Gianluca Bonifazi and Enrico Corradini and Michele Marchetti and S. Brohi and Qurat-ul-ain Mastoi and N. Z. Jhanjhi and T. Pillai},
  year = {2025},
  journal = {Algorithms},
  doi = {10.3390/a18080499},
  url = {https://www.semanticscholar.org/paper/24ae03b3f1793dc2ca5aec06ed4c50ec61a6c7cd}
}