id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bjmsr-2442	Shannaq , Boumedyen ; Alabri , Ahmed ; Sriram , V. P.; Ali , Oualid Ben 	INVESTIGATING THE IMPACT OF AI ON THE WORKFORCE AND THE FUTURE OF WORK IN THE REGION: A MACHINE LEARNING PERSPECTIVE	2025	10	.pdf	application/pdf	6712	397	37	By assigning automation-likelihood scores and conducting field examinations, job categories are stratified into distinct levels of AI automation risk, allowing us to identify those abilities—such as complex problem-solving, emotional intelligence, and digital fluency—that remain resilient despite technological advancements. The research employs machine learning techniques to conduct an extensive evaluation of the effects of AI adoption on job structures, as well as professional requirements and workplace risk factors.	cache/bjmsr-2442.pdf	txt/bjmsr-2442.txt