JD.com is injecting significant capital and technological ambition into its logistics operations, unveiling a comprehensive “Physical AI Acceleration Plan” designed to revolutionize its supply chain. This ambitious initiative reiterates a five-year target to deploy an astounding 3 million robots, 1 million autonomous vehicles, and 100,000 delivery drones, signaling a decisive shift towards hyper-automation.
The plan, formally launched at JD Discovery 2026 in Beijing, was accompanied by the unveiling of JD Logistics’ new industrial “Wolf Robot” series. These robots are engineered for a diverse range of tasks spanning warehousing, intricate sorting processes, inter-facility transport, and last-mile delivery. The specialized equipment includes advanced systems capable of operating in extreme sub-zero temperatures as low as minus 20 degrees Celsius, sophisticated automated pharmacy dispatch systems, and a fleet of autonomous delivery vehicles and drones ready to tackle complex logistical challenges.
This aggressive five-year procurement strategy is not an entirely new endeavor but rather an escalation of JD Logistics’ existing automation prowess. As of June 30, its cutting-edge LangzuTech Goods-to-Person automated warehousing system had already been deployed across more than 30 strategically located warehouses throughout China. Crucially, JD Logistics has also extended its automated warehousing footprint internationally, with deployments now active in the United Kingdom and Germany, underscoring a global vision for efficient logistics.
JD Logistics’ expansive warehouse network is a testament to its scale. As of June 30, it encompassed over 1,800 self-operated warehouses and an additional 2,000 third-party cloud warehouses integrated into its Open Warehouse Platform. Collectively, this network covers an impressive aggregate area exceeding 36 million square meters, providing a robust foundation for its expanding operations.
The company’s commitment to autonomous mobility is equally significant. By the end of June, thousands of unmanned vehicles were already in regular operation across more than 20 Chinese provinces. Complementing this, over 100 domestic drone routes were actively serving a variety of critical applications, including routine parcel and food delivery, urgent medical supply transport, and vital disaster relief efforts.
### From AI Decisions to Physical Execution: The Meta Brain Advantage
At the core of JD Logistics’ physical automation strategy lies the seamless integration of its hardware with “Meta Brain,” a sophisticated AI system that orchestrates operations across warehousing, transportation, and delivery. The latest iteration, Meta Brain 3.0, represents a significant leap forward, capable of calculating optimal routes for hundreds of millions of parcels in mere seconds—a dramatic improvement from the minutes previously required.
Meta Brain also serves as the intelligence behind JD Logistics’ LangzuTech Packer robotic arm. This advanced arm, powered by Meta Brain and enhanced with multimodal sensor data, demonstrates remarkable dexterity in tracking, grasping, and precisely placing parcels of varying shapes and sizes. Regulatory filings from JD’s first quarter revealed that the Packer utilizes parallel reinforcement learning within simulated environments to continuously optimize parcel-placement sequences and loading layouts. This technological approach is specifically designed to boost sorting efficiency and maximize the utilization of available space within carriers.
Further refining its robotic capabilities, JD upgraded the Packer’s force-control technology during the second quarter to enable more precise cage-loading operations. By June, the Packer was operating around the clock at multiple JD Logistics hubs, a testament to its reliability and operational readiness.
To fuel the continuous development of its AI initiatives, JD is significantly bolstering its computing infrastructure. JD Cloud is partnering with Chinese chipmaker Moore Threads to establish a massive cluster equipped with 100,000 GPUs. This powerful infrastructure will be dedicated to large-model training, advanced inference, and the development of embodied-AI workloads, pushing the boundaries of artificial intelligence in practical applications. While previous collaborations have involved a 10,000-GPU cluster, the specifics of the Moore Threads GPU models for the forthcoming 100,000-GPU system remain undisclosed.
Moreover, JD Cloud is committed to collecting over 10 million hours of video data documenting real-world human activities over the next two years. This extensive dataset is crucial for training embodied AI systems, enabling them to better understand and interact with the physical world.
Beyond the confines of warehouses, JD Logistics is aggressively expanding its autonomous vehicle network to encompass night-time delivery services. Its interim report highlighted the successful launch of autonomous night routes in Shenzhen, allowing vehicles to operate continuously. In rural logistics, JD is leveraging drones to bridge geographical challenges. The launch of a drone delivery network in Zizhong, Sichuan province, in June, now serves 78 administrative villages, with deliveries to some remote mountain communities completed in as little as seven minutes.
### Scaling Automation: A Strategic Imperative in a Competitive Landscape
JD has not disclosed the total projected cost of its ambitious five-year procurement program or provided a network-wide return-on-investment target. However, financial figures offer insight into its escalating investment in technological advancement. JD Logistics reported RMB2.3 billion in research and development expenditure for the first half of 2026, a notable 23.7% increase from RMB1.9 billion in the prior year. The company attributed this growth to ongoing investments in technology and innovation, though specific allocations to AI and robotics were not detailed.
Concurrently, depreciation of property and equipment, along with amortization of other intangible assets, rose by 18.7% to RMB2.6 billion in the first half of 2026, up from RMB2.2 billion a year earlier. JD Logistics primarily attributed this increase to the acquisition of additional logistics equipment and vehicles.
Purchases of property and equipment, along with investment properties, totaled RMB3.09 billion during the same six-month period, compared to RMB2.70 billion in the previous year. These figures represent broader capital expenditures across JD’s logistics business and are not exclusively linked to the new physical AI program.
JD’s aggressive automation strategy unfolds amidst an intensifying competitive environment among China’s major e-commerce players. Companies like Alibaba and Meituan are also making significant investments in fulfillment infrastructure, shifting focus from delivery subsidies towards optimizing logistics networks, expanding supply chains, and refining order-level economics. Alibaba and JD have been actively establishing “dark stores” and rapid-fulfillment “lightning warehouses” in densely populated urban centers to facilitate delivery times within an hour. Meituan, meanwhile, has been expanding its grocery operations through the development of supermarkets. Research from the Ministry of Commerce estimates China’s instant-retail market to reach RMB1.2 trillion (approximately $178 billion) by the end of 2026.
With approximately 700,000 delivery and logistics personnel employed by JD and its ecosystem companies, the potential impact of widespread automation on the workforce is substantial. JD founder Richard Liu has previously articulated a vision where robots would eventually assume parcel delivery roles currently performed by human couriers. Reflecting this foresight, JD has reportedly forged agreements with around 120 educational institutions to facilitate the retraining of workers for emerging roles, including robot repair and maintenance.
JD Logistics currently operates eight dedicated robot repair centers across China and intends to significantly expand its robotics after-sales capabilities over the next five years. This strategic expansion is anticipated to create over 100,000 new job opportunities for robotics service engineers, highlighting a proactive approach to workforce transition in the era of advanced automation.
Original article, Author: Samuel Thompson. If you wish to reprint this article, please indicate the source:https://aicnbc.com/25589.html
