Scaling Autonomous Freight: Inside Pony.ai’s Robotruck Business Support CleanTechnica's work through a Substack subscription, on Patreon, or on Stripe. Help us produce all of the high-quality, original content we publish week after week despite the challenges of content-scraping AI, antisocial media, inflation, and other hurdles. From Gen-4 heavy-duty trucks to L4 urban delivery vehicles, shared technology, automotive-grade production and industry partnerships are shaping the next phase of Pony.ai’s autonomous freight business. At a media briefing on August 3, He Xing, Vice President of Pony.ai and Head of the company’s Robotruck business, discussed how nearly a decade of technology development in L4 autonomous driving is beginning to support broader commercial deployment in freight transportation. Over the next two to three years, Pony.ai expects 500 to 1,000 Gen-4 autonomous heavy-duty trucks to be deployed across three primary scenarios in China: long-haul freight, bulk commodity transportation and port logistics. Pony.ai also expects light-duty trucks to scale faster, with a longer-term goal of reaching 100,000 L4 autonomous light-duty trucks by 2030. The targets reflect several developments coming together: a more mature autonomous driving system, lower hardware costs, automotive-grade redundant vehicle platforms and deeper collaboration with vehicle manufacturers and logistics operators. Why freight, and why now Pony.ai began developing autonomous trucks in 2018. The first vehicles were largely hand-built prototypes. Subsequent generations moved progressively closer to automotive-grade production through partnerships with truck manufacturers. The question gradually shifted from whether the technology could work to where and under what conditions, it could create the most operational value. Road freight presents a clear need. The industry faces persistent structural pressures, including a shortage of qualified heavy-duty truck drivers, an aging workforce and sharp fluctuations in demand during peak seasons. Long hours, overnight driving and demanding routes can also increase fatigue-related safety risks. L4 autonomy can help supplement