Artificial Intelligence Applications in Business and Management: Opportunities, Challenges, and Future Prospects

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, SI1 (2026), pp. 5865
Proceedings of Selected Papers from the
National Conference on Emerging Trends in Commerce and Management
NCETCM-2K26
2026-03-30 to 2026-03-31
Vijayawada, Andhra Pradesh, India
Organized by Andhra Loyola College, Vijayawada, India
eISSN: 3107-9075

This work is licensed under a Creative Commons Attribution 4.0 International License .

Artificial Intelligence Applications in Business and Management: Opportunities, Challenges, and Future Prospects

Shaik Rasool

Head, Department of Commerce, Osmania College (Autonomous), Affiliated to Rayalaseema University, Kurnool, India

Abstract

Artificial Intelligence (AI) has emerged as a revolutionary technology transforming business and management practices worldwide. Organizations increasingly adopt AI-driven tools to improve operational efficiency, enhance customer experience, and support strategic decision-making. AI technologies such as machine learning, natural language processing, predictive analytics, and robotic process automation enable businesses to automate repetitive tasks, analyze large datasets, and gain competitive advantages. The integration of AI across functional areas such as marketing, finance, human resource management, supply chain management, and operations management is redefining traditional business models. Despite the significant benefits, organizations face challenges such as high implementation costs, lack of skilled professionals, ethical concerns, and data privacy issues. This study examines the applications of Artificial Intelligence in business and management, identifies its benefits and challenges, and explores future opportunities. The paper is based on secondary data collected from journals, reports, and academic publications. The findings reveal that AI adoption enhances productivity, improves decision-making, and promotes innovation. The study concludes that AI will continue to reshape business management and organizations must strategically integrate AI technologies to achieve sustainable growth.

Keywords: Artificial Intelligence, Business Analytics, Automation, Decision Making, Digital Transformation.

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DOI: 10.66710/ijersem.v2si1.7

Open Access • Peer Reviewed Article

References

  1. J. B. Hussein et al., “A Review of the Use of Artificial Intelligence in Renewable Energy for Food Processing and Preservation Process Optimisation, Challenges, and Future Prospects,” Renewable and Sustainable Energy Reviews, vol. 223, p. 116076, Jul. 2025. https://doi.org/10.1016/j.rser.2025.116076
  2. M. H. Natsir, W. F. Mahmudy, M. Tono, and Y. F. Nuningtyas, “Advancements in Artificial Intelligence and Machine Learning for Poultry Farming: Applications, Challenges, and Future Prospects,” Smart Agricultural Technology, vol. 12, p. 101307, Aug. 2025. https://doi.org/10.1016/j.atech.2025.101307
  3. H. Mao, “The Optimization Strategy and Application Practice of Business Management Supply Chain Based on Artificial Intelligence Technology,” Procedia Computer Science, vol. 261, pp. 707–715, Jan. 2025. https://doi.org/10.1016/j.procs.2025.04.324
  4. H. Pallathadka, E. H. Ramirez-Asis, T. P. Loli-Poma, K. Kaliyaperumal, R. J. M. Ventayen, and M. Naved, “Applications of Artificial Intelligence in Business Management, E-Commerce and Finance,” Materials Today Proceedings, vol. 80, pp. 2610–2613, Jul. 2021. https://doi.org/10.1016/j.matpr.2021.06.419
  5. J. Tulimelli, S. Satpathy, and A. K. Samminga, “Role of Artificial Intelligence in Commerce Education: Opportunities and Challenges,” International Journal of Emerging Research in Science Engineering and Management, vol. 2, no. si1, pp. 20–30, May 2026. https://doi.org/10.66710/ijersem.v2si1.3
  6. V. Ch. Purna Chandra Rao, Z. U. Rehman, P. Rao Suda, and K. P. R. Rajesh, “Evolution of Neo-Banks: Navigating Regulation and Driving Industry Disruption,” International Journal of Emerging Research in Science Engineering and Management, vol. 2, no. si1, pp. 31–42, May 2026. https://doi.org/10.66710/ijersem.v2si1.4
  7. K. Raina, G. D. Sharma, B. Taheri, D. Dev, and S. Chavriya, “Artificial Intelligence-Driven Management: Bridging Innovation, Knowledge Creation, and Sustainable Business Practices,” Journal of Innovation & Knowledge, vol. 11, p. 100860, Nov. 2025. https://doi.org/10.1016/j.jik.2025.100860
  8. F. Binsar, I. Wahyudi, G. D. P. Atmoko, F. Nurdin, and T. N. Santoso, “Optimizing Business Competitiveness Through Artificial Intelligence: A Framework for Digital Innovation and Operational Efficiency,” Advances in Business and Management Research, vol. 1, p. 100002, Feb. 2026. https://doi.org/10.1016/j.abmr.2026.100002
  9. J. Antczak et al., “Artificial Intelligence in Business Management - SWOT Analysis,” Procedia Computer Science, vol. 270, pp. 4410–4420, Jan. 2025. https://doi.org/10.1016/j.procs.2025.09.566
  10. J. Yu, X. Zhan, and G. R. Bojja, “Exploring Artificial Intelligence for Sustainable Business Development: A Review,” Data Science and Management, Oct. 2025. https://doi.org/10.1016/j.dsm.2025.10.001
  11. F. Khaleel, P. Harte, and A. Avdukic, “Future Proofing the Integrity of Assessments Within Business Management Studies for the Age of Artificial Intelligence,” in Elsevier eBooks, 2024, pp. 2–8. https://doi.org/10.1016/B978-0-443-13701-3.00330-3
  12. H. Tian, “Enterprise Business Information Management Archive System under Computer Artificial Intelligence Technology,” Procedia Computer Science, vol. 243, pp. 850–857, Jan. 2024. https://doi.org/10.1016/j.procs.2024.09.102
  13. O. M. H. Nasser, B. W. Bresnahan, N. M. Cross, and J. V. Rawson, “Review of Artificial Intelligence Business Cases to Advance Toward Learning Health Care Systems,” Journal of the American College of Radiology, vol. 23, no. 3, pp. 399–409, Dec. 2025. https://doi.org/10.1016/j.jacr.2025.12.012
  14. M. Gupta, S. Ammani, M. R. R. Dontineni, B. R. Kumar, M. Gupta, and S. K. R. Katta, “The Future of HR Marketing AI-Driven Approaches to Talent Acquisition and Management,” in 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), Guntur, India, 2024, pp. 1–6. https://doi.org/10.1109/ICEC59683.2024.10837377