Thousands of Inland Jobs Could be Lost to Automation
The Institute of Spatial Economic Analysis (ISEA), which is a division of the University of Redlands, has conducted research which finds that nearly two-thirds of jobs in America’s Inland region may be at risk of automation.
According to the institute’s study, thousands of jobs may be lost in the next 20 years as machines and robots take over.
In a nutshell, roughly 62.7% of all jobs in the “Inland Empire,” which covers Riverside and San Bernardino counties, are expected to be automated. The institute reports that there are about more than 1.3 million jobs in the Inland region.
The study suggests that warehouse jobs are at the greatest risk of being lost, as a majority of them are easily automated. Other job functions that have a high risk of being automated include jobs of salespeople and cashiers.
According to the ISEA, there are more than 55,000 warehouse jobs in the Inland region, of which over 47,000 could be automated. Likewise, over 82,000 sales positions and more than 87,000 cashier jobs could become automated.
The institute studied various industries to determine the ones most susceptible to automated transformation. ISEA finds that restaurant businesses could make the biggest shift towards automating their work tasks. In second and third place, farming and retail industries could see thousands of jobs being automated.
About 87.3% of jobs in food services could be lost due to automation. Likewise, more than 86% of the jobs in farming and over 82% of the jobs in retail could face automation in the years to come.
The institute finds that education may play a part in the probable job losses. Jobs that are easily automated involve tasks for which little-to-no education is needed. As a result, workers in the Inland region, many of whom do not have formal education beyond high school, are at a great risk of losing their jobs to robots.
The research by the ISEA was conducted on data gathered from the U.S. Bureau of Labor Statistics. The report also considered the findings of a similar study conducted by Oxford University.
“Find out which local jobs are threatened by automation,” The Press-Enterprise, July 10, 2017.