Core Insights - The company aims to double its autonomous taxi fleet this year, leveraging AI to significantly reduce costs and move closer to profitability [1][3] - The internal AI testing platform has reduced data collection and training costs by 75%, allowing the company to compete effectively in the autonomous taxi market [1][2] - The company is confident in achieving profitability by 2030, aligning with industry trends, and has set a global fleet target of 2,000 to 3,000 vehicles by the end of this year [3] Cost Reduction through AI - The company has developed a simulator that uses AI to train autonomous taxis for extreme weather, heavy traffic, and nighttime driving scenarios [2] - The AI testing platform, named Genesis, enhances safety by teaching vehicles to handle unexpected situations, while also significantly lowering costs [2] - The focus on cost control is crucial for the company and its domestic competitors, such as Xiaoma Zhixing and Baidu's Apollo Go, as they aim for large-scale development of autonomous vehicles [2] Competitive Landscape - The company is part of the "Big Three" in China's autonomous taxi industry, competing domestically and internationally against rivals like Waymo [2][3] - Xiaoma Zhixing has achieved single-vehicle breakeven in Guangzhou, indicating a potential path to profitability for the company as well [3] - The company plans to continue investing heavily in R&D, prioritizing quality products and core technology over rapid profitability [4]
文远知行CEO韩旭：AI将训练成本降低75% 有望2030年前盈利