ARTIFICIAL INTELLIGENCE GUIDANCE AS WORKING MODELS FOR IMPLEMENTATION OF UPSKILLING AND RESKILLING IN ORGANIZATIONS

Building accessible services that connect education and job services is a significant challenge for career guidance in the age of lifelong learning. This study explores how artificial intelligence (AI) can enhance career counseling in postsecondary education and the workplace. Findings from focus groups, scenario planning, and real-world experiments highlight AI’s potential applications from the perspectives of institutions, guidance personnel, and students. While AI can reduce cognitive workload and improve efficiency, its rapid adoption raises concerns about job displacement, requiring organizations to implement upskilling and reskilling initiatives.AI-driven training programs offer innovative solutions for developing skills that meet evolving workforce demands. Grounded in theories of adult learning and technology adoption, this research examines how AI can customize learning experiences and boost workplace productivity. The study’s unique approach assesses the relevance of upskilling and reskilling based on professional knowledge requirements to guide targeted strategies and activities. Given AI’s multidisciplinary nature— spanning computer science, engineering, behavioral sciences, and more a transdisciplinary approach is essential to fully understand its implications. Soft skills also play a critical role in successful AI adoption. With the rise of Industry 5.0, future research must focus on balancing automation with human collaboration and addressing emerging workforce challenges.