Reflection of Artificial Intelligence Applications in Enhancing Career Maturity: An Analytical Study at the Iraqi General Retirement Authority/Baghdad

Maysoon ali Hussein, Marwan sabah Hasan and Khalidiya Mostafa Atta
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Maysoon ali Hussein: human resource Management/organizational behavior University of aliraqia Business management department
Marwan sabah Hasan: Theory of organization and organizational behavior University of aliraqia Business management department
Khalidiya Mostafa Atta: Strategic management University of aliraqia Business management department

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 5, 4647-4667

Abstract: Understanding career maturity is vital as it enhances the impact of artificial intelligence (AI). Career maturity represents a planned effort directed towards improving and increasing the effectiveness and quality of performance through systematic and programmed interventions via organizational learning. Career maturity aligns individual and organizational goals to create cohesive and effective groups within the organization. Organizations striving to extract value from AI have shown that they often face organizational challenges rather than technical ones. Organizations capable of deriving value from their AI activities exhibit distinctive organizational behaviour, in contrast to many organizations that perceive AI merely as a technological tool. Those organizations that approach AI from a functional and organizational perspective are more likely to extract greater value from their AI investments and utilize it optimally. This research aims to identify the key AI applications that have contributed to achieving career maturity within the General Retirement Authority/Baghdad, given the importance of this institution which serves a broad segment of Iraqi society. A questionnaire was randomly distributed among 100 employees of the Authority. The descriptive-analytical method was employed. The key findings highlight the necessity of adopting AI applications to process retirement transactions, eliminate bureaucracy and monotony, and achieve career maturity.

Date: 2025
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