Skip to main Communities My dashboard Log in Sign up Published April 20, 2026 | Version v1 Journal article Open Artificial Intelligence and Burnout among Professionals: The Moderating Role of Cognitive Efficacy Authors/Creators Sehrish Rafique (Contact person) 1 Hira Afzal (Researcher) 2 Aurang Zaib Ashraf Shami (Researcher) 3 Saima Ashraf (Researcher) 4 Abdul Rafay (Researcher) 5 Show affiliations 1.
Chief Executive Officer (CEO), Mindspark Consultants, Pakistan 2.
Lecturer, NIMS, Pakistan 3.
Manager Legal, Legal Department, Punjab Thermal Power (Private) Limited, Lahore, Pakistan 4.
Lecturer, Department of Applied Psychology, OPF College, Islamabad, Pakistan 5.
BS Scholar, Department of Allied Health Sciences, Superior University, Lahore, Pakistan Description The increasing integration of the artificial intelligence (AI) into the professional environments has transformed the work processes while the raising concerns about the employee well being and the burnout. This study aimed to examine a relationship between the AI usage and a burnout with particular focus on moderating role of the cognitive efficacy among the clinical and organizational professionals. A quantitative cross-sectional research design was employed. A total of 180 professionals participated in the study, including 100 clinical and 80 organizational professionals selected through purposive sampling based on their exposure to AI tools in the workplace. Standardized measures, including the Maslach Burnout Inventory, a Cognitive Efficacy Scale, and an AI Usage Intensity Scale, were administered via an online survey. Data were analyzed using Pearson correlation, multiple regression, and moderation analysis. Results indicated that AI usage significantly predicted burnout, whereas cognitive efficacy was negatively associated with burnout. Furthermore, cognitive efficacy significantly moderated the relationship between AI usage and burnout, such that individuals with higher cognitive efficacy reported lower levels of burnout despite increased AI engagement. Additionally, clinical professionals demonstrated higher levels of emotional exhaustion compared to their organizational counterparts. The findings highlight dual impact of the AI as both a job demand or resource, emphasizing the protective role of cognitive efficacy. Implications for organizational training and psychological resilience interventions are discussed. Files 2. 241. Sehrish Rafique formatted.pdf Files (693.0 kB) Name Size Download all 2. 241. Sehrish Rafique formatted.pdf md5:01a31809dbd36af87d9a3734c99dd562 693.0 kB Preview Download Additional details Software Repository URL https://ojs.ijpssr.org.pk/index.php/ijpssr/article/view/241 Development Status Active 35 Views 54 Downloads Show more details All versions This version Views Total views 35 35 Downloads Total downloads 54 54 Data volume Total data volume 38.8 MB 38.8 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Artificial Intelligence; Burnout; Cognitive Efficacy; Technostress; Job Demands–Resources Model; Moderation Analysis; Occupational Well-being Details DOI DOI Badge DOI 10.5281/zenodo.19660860 Markdown [](https://doi.org/10.5281/zenodo.19660860) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19660860.svg :target: https://doi.org/10.5281/zenodo.19660860 HTML <a href="https://doi.org/10.5281/zenodo.19660860"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19660860.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19660860.svg Target URL https://doi.org/10.5281/zenodo.19660860 Resource type Journal article Publisher Zenodo Published in International Journal of Politics & Social Sciences Review (IJPSSR), 5(II), 16-22, ISSN: 2959-6467, 2026. Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 20, 2026 Modified April 20, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies