Important Concerns About AI in the Automobile Industry
Which fields haven’t yet utilized artificial intelligence? Almost everyone uses it, from generating fresh ideas to finding solutions for business problems. The automobile industry is one of those that does not want to be left behind in utilizing AI. Recently, we’ve been hearing news about driverless taxis produced by China. According to scmp.com on August 29, 2025, “China is likely to have 300,000 driverless taxis operating in its four major cities by the early 2030s, fueled by advances in artificial intelligence (AI) and a highly competitive electric vehicle (EV) sector”. This futuristic car, produced by a Chinese technology and vehicle company, has spent billions of dollars in recent years to catch up with the industry leader in the United States. Just like ordering a conventional taxi online, we can easily order a driverless taxi instantly.
Driverless Taxi Accidents

Source: www.chinadaily.com
But does everyone like and agree with the presence of this driverless taxi? For some people, it might be as amazing as in fantasy films. However, it turns out that an accident involving a driverless car occurred in China in December 2025. According to the online news outlet CarNewsChina, eyewitness reports and videos shared on social media indicated that the autonomous vehicle struck two pedestrians at around 9:00 a.m. on Yanjiang Road. One victim was trapped under the vehicle, while the other victim was injured nearby. Video footage showed the victim trapped under the vehicle, wearing a helmet, with bleeding from the face, while witnesses tried to lift the vehicle to save him. It’s also stated that “Hello Robotaxi has only been tested in two small cities: Zhuzhou and Liyang, and its robotaxi service has been suspended in Zhuzhou following this accident”. There could be several crucial problems, such as the automatic braking system failing to function, which would cause the vehicle to become out of control.
The Concerns About Cybersecurity in the Automobile Industry

Source: connectedtechnologysolutions.co.uk
Considered walking computers, AI-powered cars have an impact we shouldn’t underestimate. Just as we use our internet-connected devices, these high-tech cars could also pose a threat in the cyber world. It creates fear of disabling the braking system or even manipulating the direction of the car. Given this possibility, the automobile industry is inevitably spending bombastic research dollars to ensure that its encryption systems are more advanced than the AI used by cybercriminals.
Labor Issues with Automotive Work Culture

Source: sg.jobstreet.com
The presence of AI has certainly increased efficiency by up to 30-40%. However, at the same time, the issue of mass layoffs is also a concern. AI has truly revolutionized the manufacturing sector. Production, once handled by humans, is now being taken over by artificial intelligence. This clearly presents a significant social challenge. Traditional factories with thousands of factory workers who cannot be able to utilize AI will lose their livelihoods. Given this situation, rapid retraining is essential for the laborers. On the other hand, automakers are also challenged to compete with technology companies for talent to recruit software engineers and data scientists. The overly rigid and slow work culture in the automotive industry must be abandoned, as it clashes with the agile culture of technology companies. If this cultural divide cannot be bridged, multibillion-dollar AI projects are doomed to failure.
Supply Chain and Independent Creation of AI-Specific Chips

Source: www.weetechsolution.com
The next challenge faced by car manufacturers in the automobile industry is the supply chain. The increasing reliance on AI has created new vulnerabilities in the supply chain, such as AI-specific chips, such as GPUs (Graphics Processing Units) and NPUs (Neural Processing Units). If raw material shortages or geopolitical tensions arise, these supply chains can instantly come to a global halt. Therefore, many automakers are trying to design their own chips to reduce their reliance on third-party suppliers. Although this inevitably comes at a very high cost, it ultimately leads to higher car prices for consumers.
AI has transformed the automobile industry into a high-tech business, although, on the other hand, it cannot eliminate human error on the road. The challenges affect demand for fundamental changes so that in the future, the focus will not only be on how powerful the machines are but also on how safe, intelligent, and ethical the software that controls them is.
