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Home > Weatherhead > JOE > Spring 2024 > Iss. 1 (2024)

 

Abstract

In 2017, automation was forecasted to see a 47% increase in the next two decades (Bughin et al. 2017). With the usage of algorithms, automation can now be used for more than routine tasks and has the ability to replace labor in cognitive tasks, greatly expanding the range of roles in the labor market it could take on (Frey et al. 2017). With this, there will be the subsequent impacts on Ohio’s economy and productivity levels in manufacturing and productivity. Ohio is a main state in manufacturing, and 7.6% of Ohio jobs have a high level of exposure to automation (Exposure to Automation in Ohio 2021). We use data from the Bureau of Labor Statistics to create initial data visualizations on Ohio’s manufacturing employment. Through this initial research, we hypothesize a negative correlation between robotic expenditures and manufacturing employment and wages. However, in the future, we hope to run regressions with variables such as robotic expenditures and robot count using data from national manufacturing surveys.

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