In August of 2017, companies Google and Facebook announced to invest $150 million dollars into a Toronto based AI institute, making it one of the largest investments in Artificial Intelligence. With companies, and even governments, investing millions into Artificial Intelligence, it is no doubt that the growth of AI ought to be exponential. As companies get closer to introducing their autonomous capable semi-trucks, it is clear there exists a lack of regulations that can potentially regulate the extent to which companies can use Artificial Intelligence to affect the job outlook in the transportation industry. In this study, the major companies involved in the development of Autonomous technologies were researched and analyzed. With a set criterion for the choice to ensure credibility and viability, companies’ (Tesla, Google, GM and Mercedes Benz) autonomous programs were selected as part of secondary data analysis research. The variables research and development budgets and production units set the stage for the quantitative data while, the risks, tech innovation, and industry trends accounted for the qualitative form of data. Upon the collection and analysis of the data from the companies’ annual reports, it was noted that Tesla and Mercedes Benz would be the future industry leaders of autonomous technologies on the roads, with budgets of $ 3.8 billion and $ 4.6 billion respectively. Google and GM do seem behind in terms of budgets and production due to the fact that their department is currently focused on different parts of the transportation industry. With this data mind, it would be in the best interests of the lawmakers to focus on finding solutions towards reducing the number of units being produced and the corresponding budgets of the companies to maximize efficiency in transportation while also maintaining ethical standards.
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Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report
