Lincoln Kong --
Goldman Sachs -- Analyst
Thank you, management. I want to ask about our sales of our advanced chips to China because we have seen recently a lot of press report around U.S. chip restriction against China. So, we wonder how you are seeing these restrictions impacting your ability to grow the business by AI Cloud, the autonomous driving, and lastly, wider our AI business.
Could you also remind us our business that the most depending on advanced large AI chips and if there's any way we'll be able to manage this with domestic capability?
Dou Shen --
Executive Vice President and Head of AI Cloud Group
Thank you, Lincoln. Thank you. You're right. This is a hot topic recently, actually.
So, the short answer to your question is that, you know, we think the impact is quite limited in the near future. You know, here are the reasons. So, first of all, you know, as of today, a large portion of our AI Cloud business and even wider AI business does not rely too much on the highly advanced chips. And secondly, you know, for the part of our businesses that need advanced chips, we have already stocked enough in hand, actually, to support our business in the near term.
Certainly, there was some alternative to the restricted chips. And we have the technologies to use these alternatives to achieve or most of the same effectiveness and efficiency in our AI Cloud and wider AI businesses. Last but not least, automotive chips are not on the prohibited list. So, this means that in the near future, in-vehicle computing is not affected.
So, when we look at it at a mid to a longer term, we actually have our own developed AI chip, so named Kunlun. Actually, we already started to use Kunlun chip to support some large-scale AI-computing tasks internally. We also use Kunlun to serve external customers already. So, because we have full stack of AI capabilities from chips to AI frameworks to foundation models and then to application software, so we can achieve much higher efficiency as we optimize the AI tasks from end to end.
So, let me give you some examples. By using our Kunlun chips [Inaudible] in large language models, the efficiency to perform text and image recognition tasks on our AI platform has been improved by 40% and the total cost has been reduced by 20% to 30%. There are more cases like this in quality inspection in our smart manufacturing projects and image recognition in the smart city products and so forth. So, as our business grows, we believe our end-to-end capabilities will gain us even stronger competitive advantages.
For the core chips, so we expect to see more auto parts, including core chips, to be manufactured in China in the future. So, as China's intelligent driving market continues to develop rapidly. So, this means that supply chain in auto industry may become more and more independent and less rely on the imports. So, once again, I want to emphasize that Baidu has built a very strong R&D team.
We keep introducing cutting-edge technologies to the market. And we have users and customers to use these technologies to improve efficiency. So, that's why we believe we can leverage our strong AI capabilities and algorithms to support the top-level computing, even though we faced some turbulence in the semiconductor supply change. So, to sum up, chips sales restriction should have a limited impact on our business operations in the near term.
Instead, we think it creates some good market opportunities for the Chinese chip companies. And our Kunlun AI chips and our AI business will eventually benefit from these opportunities.