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Paper ID:IJSREM67541

Role of generative AI in enhancing Employee Productivity in businesses

Stream/Area:

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Subject:

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Paper ID:

IJSREM67541

Volume:

10 |

9 |

Sep 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Amod Pradeep Sonawane

Amod Pradeep Sonawane

INFORMATION TECHNOLOGY AND COMPUTER SCIENCE

D.G. Ruparel College of Arts, Science and Commerce

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Aarti Sanjay Gawai

INFORMATION TECHNOLOGY AND COMPUTER SCIENCE

D.G. Ruparel College of Arts, Science and Commerce

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Abstract

Generative Artificial Intelligence (GenAI) is becoming an important technology in modern businesses and is increasingly being used to support employees in their daily work. This research examines the role of Generative AI in enhancing employee productivity and improving workplace efficiency. The study focuses on how AI tools can help employees complete tasks faster, reduce repetitive work, generate ideas, support research and communication, and improve overall work performance. The research also discusses the major benefits of using Generative AI, such as saving time, reducing workload, improving efficiency, supporting decision-making, enhancing creativity, and helping employees develop new skills. At the same time, the study examines challenges such as inaccurate information, data privacy and security concerns, employee dependence on AI, fear of job loss, lack of AI skills, and reduced human interaction. The study concludes that Generative AI can positively contribute to employee productivity when it is used properly and responsibly. Human supervision, employee skills, data security, and proper organizational guidelines remain important for achieving effective and balanced use of Generative AI in the workplace.

KEYWORDS

Generative AI Employee Productivity Artificial Intelligence Workplace Efficiency Business Automation

Cite This Article

Amod Pradeep Sonawane, Aarti Sanjay Gawai, "Role of generative AI in enhancing Employee Productivity in businesses," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-8, Sep 2026.

Full Article/Conclusion

Generative Artificial Intelligence (GenAI) is becoming an important technology in modern businesses. It helps employees complete their work faster, reduce repetitive tasks, generate ideas, prepare documents, perform research, and improve communication. From the study, it can be understood that GenAI has the potential to improve employee productivity and overall work efficiency. GenAI can save employees' time by helping them with routine and time-consuming activities. It can also reduce workload and support employees in problem-solving, decision-making, creativity, and learning new skills. When used correctly, AI tools can allow employees to focus more on important and creative tasks instead of spending too much time on repetitive work. However, the use of GenAI also has some challenges. AI-generated information may sometimes be incorrect, and employees may become too dependent on AI tools. Data privacy and security are also important concerns, especially when employees use confidential business information. There may also be concerns about job security and the need for employees to develop proper AI-related skills. Therefore, Generative AI should be considered as a tool that supports employees rather than completely replacing human involvement. Human knowledge, judgment, creativity, and supervision are still important for maintaining the quality and accuracy of work. Overall, the study concludes that Generative AI can have a positive effect on employee productivity when it is used responsibly and effectively. Businesses should provide proper training, create clear guidelines, protect confidential information, and maintain human supervision while using AI. A balanced combination of human skills and Generative AI can help businesses improve productivity, efficiency, and workplace performance.

References

1.       Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187–192. https://doi.org/10.1126/science.adh2586 2.       Brynjolfsson, E., Li, D., & Raymond, L. R. (2025). Generative AI at Work. The Quarterly Journal of Economics, 140(2), 889–942. https://doi.org/10.1093/qje/qjae044  3.       Brynjolfsson, E., Li, D., & Raymond, L. R. (2023). Generative AI at Work. NBER Working Paper No. 31161. National Bureau of Economic Research. https://doi.org/10.3386/w31161  4.       Peng, S., Kalliamvakou, E., Cihon, P., & Demirer, M. (2023). The impact of AI on developer productivity: Evidence from GitHub Copilot. arXiv. https://doi.org/10.48550/arXiv.2302.06590 5.       Dell’Acqua, F., McFowland, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2023). Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality. Harvard Business School Working Paper. 6.       Choi, J. H., Monahan, A., & Schwarcz, D. (2023). Lawyering in the age of artificial intelligence. Minnesota Law Review, 109, 145–189.  7.       GitHub. (2024). Research: Quantifying GitHub Copilot’s impact on developer productivity and happiness. GitHub.  8.       Stanford Institute for Human-Centered Artificial Intelligence. (2023). AI Index Report 2023. Stanford University.  9.       Stanford Institute for Human-Centered Artificial Intelligence. (2024). AI Index Report 2024. Stanford University.  10.    Stanford Institute for Human-Centered Artificial Intelligence. (2025). AI Index Report 2025. Stanford University.

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Publication Date

9/28/2026

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