

Dr. Steve Wong
Dec 29, 2025
AI and Localized Recycling in the United State
Under the background of increasing global restrictions on the transboundary movement of plastic waste and other discarded materials, the recycling industry is undergoing a profound shift from globalization to localization. As more countries adopt policies requiring domestic waste processing, this transition presents not only a challenge but also significant opportunities. In response we are establishing advanced recycling facilities in the United States. By partnering with organisations with extensive industry experience, we convert plastic waste into high-quality recycled pellets suitable for a wide range of applications. At the same time, we actively collaborate with local universities and county governments to develop innovative solutions for waste collection and resource utilization, with the goal of building a truly closed-loop circular economy for local communities.
Our core competitiveness lies in the precise control of raw materials. Our input streams include a broad range of post-consumer plastic waste, such as mixed rigid plastics (MRP) and plastics recovered from electrical and electronic equipment. At this stage, the introduction of AI technology has fundamentally transformed production efficiency.
AI-driven vision systems and automated processing technologies are capable of accurately identifying material compositions within complex mixed streams and performing high-speed automated sorting. This significantly improves the purity of recycled pellets and ensures that final products meet the stringent quality requirements of international brands.
On the marketing and logistics side, we work directly with brand owners through a direct-souring model that excludes intermediary market traders. Looking ahead, autonomous driving technology has the potential to fundamentally reshape the logistics cost structure. Through driverless transportation, we can overcome labor shortages and the high costs of human drivers, achieving 24-hour uninterrupted logistics delivery and making localized recycling more economically sustainable.
Our business philosophy emphasizes that technology must serve the environment and safety; AI is not merely an efficiency tool, but the core of management. Intelligent monitoring and warning AI systems can track the operational data of machinery in real time. Before mechanical failure occur, the system automatically issues alerts, enabling predictive maintenance. This extends equipment lifespan and helps prevent massive production losses caused by unexpected downtime.
The digital data captured by AI system also enables complete chain-of-custody tracking for regulatory and compliance purposes. This level of transparency allows brands owners to clearly understand the environmental footprint of their products, making them more willing to pay a premium for recycled materials and to provide financial support in pursuit of their ESG and carbon-reduction goals.
Equally important is the humanistic care of technological advancement. In response to partners' concerns regarding labor challenges, our approach remains firmly people-centric. In the coming years, AI will serve as a powerful partner to workers rather than a replacement. High-risk, highly polluted, or repetitive tasks can be delegated to AI-enabled machines. For example, AI robotic systems can safely handle contaminated agricultural plastics or dismantle complex appliances, removing humans from dangerous operations and ensuring workplace safety.