Why Is The Valuation Of Autonomous Driving Going Down? What Is The Reason?

According to the automotive soft and hard combination board factory, a very important reason for the low valuation of autonomous driving is that the US stock IPO is currently under great pressure. In particular, technology companies are mostly considered to be overvalued before, which of course includes self-driving companies. The second reason is the high investment in autonomous driving research and development and the difficulty in making profits. Autonomous driving is an important application of artificial intelligence technology in the automotive field, and naturally it also has some characteristics of the artificial intelligence industry, of which high investment in research and development is one aspect. At present, the underlying technology of almost all autonomous driving technologies is machine learning. As the complexity of the scene continues to increase, the machine learning model used in autonomous driving increases exponentially in algorithm complexity and volume, which requires a lot of manpower, Material cost input, such as algorithm research and development, test vehicle purchase, etc. These factors make the development of autonomous driving very expensive.

It can be seen from GM's second-quarter 2022 financial report that the company's autonomous driving division Cruise had a business loss of $500 million in the second quarter, and a cumulative loss of $900 million in the first half of the year. Since its establishment, Cruise has lost more than $5 billion in a row.

According to the editor of the automotive soft and hard combination board, large-scale investment makes it difficult for these autonomous driving companies to make profits. However, there is a very objective factor in the difficulty of making profits. The current autonomous driving technology is not universal. There are strong customization attributes for different scenarios, such as mining areas, parks, low-speed takeaway vehicles, etc.

According to the editor of the automotive soft and hard combination board, these scenarios are obviously different in terms of training data, so they need to be customized, which leads to companies that have already been listed and companies that are preparing to go public, in fact, there are not many advantages for start-ups. , the latter is easily ordered by studying a representative field. The third reason is that the legal system and other supporting facilities are also crossing the river by feeling the stones. As a disruptive technology in the transportation industry, autonomous driving has a huge impact on the existing transportation system. In my country, it is actually "illegal" for self-driving cars to be on the road at present.

Therefore, Yi Tong, deputy to the National People's Congress, director of the Institute of Innovation and Development Strategy of the Beijing Academy of Science and Technology, and researcher previously pointed out that the current legal framework under the "Road Traffic Safety Law" is based on motor vehicles and human drivers. Yes, only qualified drivers are allowed to drive motor vehicles on the road. The automatic driving system does not have the legal status of driving motor vehicles and cannot meet the development needs of new technologies. These realities make the rosy vision of autonomous driving seem too far away, and investors tend to waver about it.