4 ways AI will improve the automotive industry by 2030

AI is expected to have a significant impact on the automotive manufacturing industry over the next 7–10 years and indeed, we have seen this in the work of Tesla et al on the customer side but now is the time for it to emerge as a significant force in the redefinition of the design and production areas within the automotive industry. We have seen how robotics have streamlined production but the next step is to leverage data and trends within the manufacturing “transaction” to both improve efficiency and reduce greatly the environmental impact of the industry.

Photo by carlos aranda on Unsplash

Here are some ways in which I see AI making big impacts in the Automotive Industry and supply chain over the next 7years or so:

1. Improving efficiency: This is a given really so it’s pretty obvious that AI will help (and will lead) in streamlining all aspects of the production process by automating tasks on a data front, identifying production or supply chain bottlenecks and mitigating these, and optimising the use of resources to reduce costs of both fiscal and time exchange. These improvements will help reduce waste and improve the overall efficiency of the production processes.
2. Predictive maintenance: With improved processes and the efficiency savings this will bring, coupled with greater production transaction visibility, AI will play a…