How artificial intelligence is changing the field of automotive manufacturing ?




Artificial intelligence promises to revolutionize the way cars are designed, manufactured, and interacted with. In 2025, artificial intelligence will play a prominent role in shaping the future of transport by improving safety, providing comfort, and personalizing the driving experience. A smart dashboard will reduce distractions and reduce the risk of loss of attention, as well as develop driving assistants and autonomous driving technology. The industry of self-driving taxis (robotaxi) will also expand and become available in more cities in 2025.

Here are more details on how artificial intelligence affects the automotive industry, and the challenges associated with its use in this area:

The impact of artificial intelligence in the manufacture and development of cars:

The spread of self-driving cars:

Users can currently use the Waymo 

 app in cities such as San Francisco, Los Angeles, and Phoenix to order self-driving taxis. In 2025, Waymo plans to expand its services to new cities such as Atlanta and Austin.

A Motional company resulting from a collaboration between Hyundai and Aptiv is developing self-driving taxis and plans to expand its operations in 2025.

The evolution of intelligent driver assistance systems:

The car does not need to be fully autonomous to take advantage of artificial intelligence. Intelligent driver assistance systems such as GM's Super Cruise can enable hands-free driving on highways. These systems rely on intelligent algorithms to provide advanced features such as adaptive cruise control, automatic emergency stops, and lane departure warnings, which help the driver while driving.

Improved driving experience:

Companies such as Volkswagen and Mercedes-Benz have announced the integration of technologies such as ChatGPT into their cars to offer drivers a natural and personalized experience. And instead of asking complicated traditional voice commands, the driver can say simple phrases like: “Take me to the Italian restaurant recommended by my friend Alla” and get a quick response.

Self-maintained cars:

Thanks to artificial intelligence, cars are able to anticipate problems that need maintenance before they occur, such as: detecting abnormal changes in performance or abnormal behavior during charging. Intelligent systems can also interpret the vehicle's problems in an easy way for the driver, such as determining whether the problem is minor or needs immediate maintenance.

Improve the efficiency of car manufacturing:

Artificial intelligence contributes to the improvement of all aspects of car manufacturing, from improving design methods to managing supply chains. For example: BMW was able to manufacture electric and hybrid cars in the same production line thanks to artificial intelligence technologies.

Challenges associated with the use of artificial intelligence in the field of automotive manufacturing:

Although artificial intelligence provides many benefits that help in the development of the field of automotive manufacturing, there are challenges associated with its use in this field, such as:

The need for highly efficient security systems: 

Car manufacturers should thoroughly test safety systems to verify their efficiency and avoid mistakes that may occur while driving.

Maintaining privacy: 

The smart systems integrated into modern cars collect a significant amount of personal data to ensure a comfortable and personalized driving experience tailored to the driver's preferences, which raises privacy concerns and necessitates effective strategies to maintain data privacy.



Artificial intelligence technologies play a major role in the development of the automotive manufacturing industry, affecting both drivers, manufacturers, and regulators, as consumers benefit from safer, more comfortable, and personalized driving experiences thanks to these technologies, and car manufacturers can take advantage of these technologies to improve manufacturing efficiency and quality while reducing costs. Regulators may face challenges related to developing a legal framework to deal with new technologies and ensuring the protection of users ' privacy and security.

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