Automated Vehicles Will Create a Shift in Workforce Demands
August 08, 2018

Soraya Kim
American Center for Mobility

Despite concerns that a rise in automated vehicles (AVs) will displace significant numbers of truck drivers in the United States, only a modest number of truck driver jobs, if any, will be affected, according to a new report commissioned by the American Center for Mobility (ACM), led by Michigan State University (MSU) and supported by Texas A&M Transportation Institute (TTI).

Automated technology will largely support truck drivers instead of replacing them

Due to existing truck driver worker shortages, and the belief that automated technology will largely support truck drivers instead of replacing them, truck drivers are not likely to be displaced in large numbers during the next ten years that the study covered.


Also, limousine and bus/transit drivers who are executing services that necessitate face-to-face interaction or passenger assistance, such as luxury services and paratransit, are less likely to be displaced by automated vehicles in the foreseeable future, the report found. These drivers will likely undergo training to learn how to use the new supportive technology.

"In the near-term there is great potential for these technologies to assist commercial drivers in safely operating trucks. Longer-term it will be important to define, develop, and deliver targeted training for the workforce," said Christopher Poe, Assistant Director for Connected and Automated Transportation Strategy, TTI.

However, while significant numbers of AVs will not be deployed until the latter half of the 2020s, at that point, some displacement of passenger car-based driving jobs could occur, mainly among taxicab drivers, according to researchers.

"Automated vehicle technology could incorrectly be viewed as a change that will eliminate driving jobs; however, the more nuanced assessment is that over the next decade the innovation will foster broader societal changes resulting in shifts in the workplace and workforce demands," said Shelia Cotten, MSU Foundation Professor at Michigan State University, who led the research. "Additionally, this level of advanced technology has the potential to lead to the creation of thousands of new jobs in the engineering, data analysis, cybersecurity and vehicle 'monitoring' areas. Based on data collected from industry experts during the study, there is already a significant demand in several of these areas related to AVs."

The results of the report indicate substantial and multifaceted education and training efforts will be needed to transition the workforce and public for automated vehicles. ACM is working with academic and industry partners to facilitate the adoption of new skillsets that the workforce will need in the future.

Based on the report's findings, ACM and the study authors recommend the following steps be taken:

■ Conduct additional research that captures the input of the vehicle operators in different workforce sectors on what training they would be interested in pursuing.

■ Identify, in greater detail, the specific skillsets needed by the automotive and technology industries to facilitate the creation and adoption of AVs.

■ Establish rapid coursework and training that meets those specific needs.

■ Conduct additional research to quantify the overall positive financial impact of automated vehicle technology on the economy as a whole, and the potential for job creation.

Finally, the report suggests a substantial change to the way workers in many industries do their jobs, in some instances radically. The research indicates motor vehicle manufacturers and technology firms working in the automated vehicle arena are already finding it difficult to hire enough workers with certain technology skillsets; and as automated vehicles begin to proliferate, maintenance and certain adjacent occupations will need to evolve and expand.

The research was funded by ACM, Waymo, AARP and the Toyota Research Institute.

Soraya Kim is Chief Innovation Officer at American Center for Mobility (ACM)
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