Jobs and University Skills: Artificial Intelligence Effects on Employment in the Future

Omary, Joud (2018) Jobs and University Skills: Artificial Intelligence Effects on Employment in the Future. Research Report. Memorial University of Newfoundland, St. John's, Newfoundland and Labrador.

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Abstract

In this study, we examine how susceptible automation caused by the rise of Artificial Intelligence (AI) and Machine Learning (ML) is going to affect employment rates in the next two decades. We start by talking about the previous studies that went over AI and ML. In the second part, we explain set of equations that determines the jobs that have low resilience for automation. In the third part, we go through tables and database that can reflect on job automation, the predicted time spent on activities, and database that captures detailed information from country, sector, job, and specific activity level. Lastly, we use information from a previous research paper to approximate the automation percentages of university skills. The report indicates that 42% of the Canadian labor force is at high risk of being affected by automation, For the final part, we link every job with its related set of skills, then provide their probability of computerization.

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