Here's the thing about China's food delivery crackdown: it's not really about subsidies. It's about what happens when the subsidies vanish and you're left with the actual economics of getting dumplings to someone's door. That's where JD.com Inc. (JD) and Meituan (MPNGF) start looking like completely different species.
Meituan's business runs on people—almost 7 million delivery riders, to be precise. And those people get more expensive and more regulated every single year. JD took one look at that model and said "no thanks." Instead, they're building what they literally call a "Wolf Pack": roughly 3 million delivery robots, 1 million autonomous vans, and 100,000 drones. The entire operation is designed around one goal—making last-mile delivery cheaper every year, not pricier.
When Subsidies Die, Math Matters
Back when subsidies ruled everything, scale just meant burning more cash faster. Regulators have decided they're done with that game. Once you cap the discounts, delivery stops being a marketing problem and becomes a pure math problem. Whoever can move a meal from restaurant to customer for the lowest cost per order wins. That's it.
And here's the uncomfortable truth: humans don't scale cheaply. Machines do.
JD's Automation Play
Late in 2025, JD Logistics rolled out a five-year blueprint to automate the entire last-mile chain. Warehouses, sorting, routing, final delivery—increasingly handled by software, sensors, and hardware instead of riders fighting traffic.
Why does this matter? Robots don't unionize. They don't demand higher wages. They don't trigger regulatory crackdowns about working conditions. And once you've deployed them, they actually get cheaper with every software update.