Assessing the impact of technological change on similar occupations: Implications for employment alternatives

Abstract

Background The fast-changing labor market highlights the need for an in-depth understanding of occupational mobility impacted by technological change. However, we lack a multidimensional classification scheme that considers similarities of occupations comprehensively, which prevents us from predicting employment trends and mobility across occupations. This study fills the gap by examining employment trends based on similarities between occupations. Method We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. We used the Principal Component Analysis to categorize occupations in the Standard Occupational Classification, which is grouped into a four-level hierarchy. Then, we paired the occupation clusters with the occupational employment projections provided by the U.S. Bureau of Labor Statistics. We analyzed how employment would change and what factors affect the employment changes within occupation groups. Particularly, we specified factors related to technological changes. Results The results reveal that technological change accounts for significant job losses in some clusters. This poses occupational mobility challenges for workers in these jobs at present. Job losses for nearly 60% of current employment will occur in low-skill, low-wage occupational groups. Meanwhile, many mid-skilled and highly skilled jobs are projected to grow in the next ten years. Conclusion Our results demonstrate the utility of our occupational classification scheme. Furthermore, it suggests a critical need for skills upgrading and workforce development for workers in declining jobs. Special attention should be paid to vulnerable workers, such as older individuals and minorities.

Industry 4.0 Technologies and Law in Enhancing Human Capacity Among Women in The Nigeria Construction Industry: A Systematic Review

“…This theory infers that introducing Industry 4.0 technologies such as robotics, the Internet of Things (IoT), and artificial intelligence into the construction industry has the potential to fundamentally transform labour processes, leading to increased efficiency and productivity. This theory is corroborated by several studies that have analysed how technologies are altering many sectors and creating opportunities to boost human capacities (Torosyan et al, 2023;Ra et al, 2019;Horváth & Szabó, 2019). While the introduction of technologies holds invaluable potentials to revolutionize work, Mormina (2019) pointed out that technological advancements can reinforce power dynamics and inequities in work place unless they are utilized with careful consideration.…”