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    Chinese autonomous driving firm Pony.ai launched commercial robotaxi services in Zagreb, Croatia on April 8. Photo:Courtesy of Pony.ai
Chinese autonomous-driving company Pony.ai said on Monday that its cumulative autonomous-driving distance worldwide has surpassed 100 million kilometers, marking the latest milestone as China's driverless sector moves from technology validation toward mass production and scaled commercial deployment.
The milestone comes as L4 autonomous driving gains commercial traction across passenger transport and logistics in China, while Chinese companies are accelerating overseas deployment through partnerships with local operators in markets including Europe and Southeast Asia.
Industry experts said that the significance goes beyond rising distance. As commercialization gathers pace, the next phase of competition will increasingly hinge on whether autonomous-driving technology can be deployed at scale, brought down to commercially viable costs and replicated across different transport scenarios and markets.
At a recent media briefing, Pony.ai said that its fourth-generation L4 autonomous electric heavy-duty truck had entered mass production, with commercial operations expected to begin in the coming months. The company plans to deploy 500 to 1,000 trucks over the next two to three years across long-haul freight, bulk cargo transport and port logistics.
A notable part of that transition is the sharp decline in costs. Autonomous-driving hardware costs for Pony.ai's fourth-generation heavy truck are about 70 percent lower than for the previous generation, according to the company.
Similar cost reductions are also emerging in robotaxis. Pony.ai said on its official blog that the bill-of-materials cost of the autonomous-driving kit for its seventh-generation robotaxi has fallen 70 percent from the previous generation, helping the company achieve unit-economics breakeven in Guangzhou and Shenzhen, South China's Guangdong Province.
China's autonomous-driving sector is moving from technology validation to large-scale commercial deployment, underpinned by the rapid accumulation of real-world driving data, Pan Helin, a member of the Expert Committee for the Ministry of Industry and Information Technology, told the Global Times on Monday. 
"Continuous road testing allows L4 systems to better adapt to local traffic conditions, laying the groundwork for wider commercial use," Pan said.
China has opened multiple cities to autonomous-driving applications, with commercialization gathering pace. As deployment expands and marginal technology costs fall, autonomous driving is expected to unlock significant commercial value and emerge as a new form of mobility, veteran industry analyst Liu Dingding told the Global Times.
Pony.ai aims to expand its robotaxi fleet to more than 3,000 vehicles by the end of 2026 and operate in 20 cities worldwide, with nearly half of those cities overseas. It also plans to develop an international version of its seventh-generation robotaxi tailored to different regulatory requirements and infrastructure, supporting the deployment of more than 1,000 vehicles in overseas markets. 
Pony.ai's ambition also reflects a broader push by Chinese autonomous-driving companies to expand overseas.
On August 3, WeRide announced a partnership with Danish shared-mobility platform GreenMobility to deploy autonomous ride-hailing services in Denmark, marking its first entry into the Nordic region and sixth European market. Subject to regulatory approval, the service is expected to open to the public in the first half of 2027 using WeRide's latest GXR L4 robotaxi.
WeRide said on its website that its autonomous-driving products are now deployed in more than 40 cities across 12 countries. The company holds autonomous-driving permits in eight markets and operates a global L4 fleet of more than 3,000 vehicles.
A similar expansion is taking place in public transport. On July 17, Chinese autonomous-driving company MOGOX announced a strategic partnership with Singapore-based ComfortDelGro Bus. The two companies will cooperate on autonomous-vehicle deployment and operations, commercial expansion and coordination with regulators.
Pan said that China's autonomous-driving sector has two key advantages: a broad supplier base for major components and a large domestic market that allows companies to deploy services widely and accumulate real-world data. Advances in simulation and synthetic-data technologies have further strengthened the sector's ability to train and refine autonomous-driving systems.
Liu pointed to the cost benefits of scale. As deployment expands, the cost of key automotive-grade components such as lidar and chips continues to fall, improving the economics of commercial operations and creating more room for technological iteration, he said.
。    AI摘要      全国首单信托资金投资林业生物资产票据业务在三明签约。该项目以“林票2.0”为底层资产，创新直接融资模式，盘活森林资源，为林业绿色金融提供可复制示范。         东南网8月20日讯（福建日报记者 王帅 庄紫怡） 8月18日，全国首单信托资金投资林业生物资产票据业务在三明签约，实现林票融资从银行质押贷款拓展到信托直接投资的模式创新。    在当天举办的第二十一届海峡两岸（三明）林业博览会暨2026年永安竹博会开幕式上，三明市投资发展集团有限公司与兴业银行三明分行联合举办林业绿色金融创新暨项目投资签约活动。其间，三明市供销投资集团有限责任公司、沙县夏茂供销合作社、兴业国际信托有限公司、三明市沙县区森林资源收储管理有限公司共同签约“兴业信托·三明林业生物资产票据投资集合资金信托计划”项目，该项目投资规模198.36万元，项目期限为2年。    据了解，该项目是国内首单通过中国信托登记有限责任公司预登记的林票信托项目，系国内首次以林业生物资产作为信托底层资产的创新产品。项目由三明市供销投资集团有限责任公司和沙县夏茂供销合作社作为委托人联合出资，兴业国际信托有限公司作为受托管理人，沙县区森林资源收储管理有限公司则作为项目融资方，三方通过信托机制将沉睡的零散森林资源转化为可计算、可流转、可投资的标准化金融资产，促进林票制度与现代金融体系深度融合。

B |     2023年11月，全国首单林业生物资产票据——“林票2.0”在沙县落地，从此林票正式登上产权交易中心平台，实现了跨主体、市场化流通，林农手中的股权凭证真正变成了可交易、可增值的资产。

C |     “这次签约打破了林票融资长期依赖传统银行信贷的单一格局，创新了‘社会资本进山入林’的直接融资渠道，让‘林票2.0’流通起来，成为‘盘活万重山’的新工具。

D | ”兴业国际信托有限公司相关业务负责人介绍，传统信托业务底层资产多集中于债权、不动产、股权等品类，本次业务拓展信托可投绿色资产边界，创新将“林票2.0”纳入信托底层资产池，丰富了绿色信托资产投向。同时，针对沙县区森林资源收储管理有限公司在林地经营、森林抚育方面存在的资源整合周期长、资金周转压力大的经营现状，本次业务以“林票2.0”作为投资标的，为企业森林抚育运营补充营运资金。    “该项目为今后更多资本参与林业绿色项目提供了合规、清晰的投资路径，也为全国林业绿色金融创新提供了可复制、可推广的示范经验。”福建沙县农村产权交易中心交易部经理詹光丹表示，得益于本次签约，福建沙县农村产权交易中心成为全国为数不多的拥有信托资金参与的专业交易场所，为后续信托资金批量化、常态化参与“林票2.0”挂牌交易奠定了坚实基础。

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