Analysis of the Relationship between AI Advancement and Employment Dynamics in Canadian Higher Education
Year: 2026
Type: article
Abstract: The study focuses on the employment dynamics and higher education in Canada. AI technologies have been one of the most important drivers for employment growth, but it should be discussed whether AI advancements also increase the unemployment rate. Additionally, AI technologies are positively utilized by postsecondary education institutes, but whether the AI advancements can also impact the lower-income families on higher education remains discussed. This study primarily employs secondary data, leveraging existing datasets to evaluate four hypotheses. For the classification task, a Random Forest algorithm was selected as the main predictive modeling approach. Our results suggest that AI has slightly restricted access to higher education for low-income students, but is unlikely to have a significant contribution to job replacement within Canadian universities, and our results can be also used to explore longitudinal data on AI’s impact on education and employment, assess how AI-driven policies shape long term workforce trends, and examine the ethical considerations surrounding AI deployment in academia. Keywords: artificial ıntelligence, higher education, employment in Canada, job replacement, low-income family
Source: Athens Journal of Sciences
DOI: 10.30958/ajs.13-3-3
Authors: Abedeh Gholidoust, Peng Wang
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W7204751697