The Algorithmic Trap: Why Delivery Income is Plummeting
The landscape for gig workers in China has shifted from a lucrative opportunity to a grueling struggle for survival. Following intense “delivery wars” between platform giants like Meituan, Ele.me, and JD, riders are witnessing a “cliff-like” drop in earnings.
The core of the issue lies in the “system.” Riders describe a reality where their fate is entirely controlled by algorithms. If the system “loves” you, orders flow; if not, you are left waiting. This algorithmic management forces riders into a vicious cycle of increasing their hours just to maintain a basic income.
Currently, some riders report earning as little as three to four yuan per order. To compensate, “order kings” are forced to work up to 14 hours a day. Without extending these grueling hours, making a living has turn into nearly impossible.
The Human Cost of “Involution”
This economic phenomenon, often referred to as “involution” (內捲), is not just about numbers—it is about human endurance. The pressure to deliver faster and more frequently has led to a precarious existence where safety is secondary to speed.
Nearly every rider knows someone who has been in a traffic accident during a delivery. For many, the job is a double-edged sword; while some use it as a transitional tool to overcome personal struggles like depression, others find their social and language skills deteriorating due to the isolation of the work.
The demographics of this workforce are also shifting. In major hubs like Beijing, over 50% of riders are rural youth from surrounding areas, with a high concentration from Hebei province. For these workers, the delivery sector is often the only viable exit from rural poverty, leaving them with little leverage to demand better conditions.
The Ripple Effect Across the Gig Economy
The crisis in delivery is not an isolated incident but a symptom of a broader economic slowdown. Similar trends are appearing in other sectors of the gig economy:
- Ride-hailing: Didi drivers are reporting similar declines in income.
- Manufacturing: A decrease in factory hiring has pushed more unemployed workers into the delivery sector.
- Merchant Margins: The low-price wars have forced some merchants into “negative profit” territory, where the cost of the order exceeds the revenue.
Future Outlook: Regulation vs. Market Reality
As the “delivery wars” leave a trail of exhausted workers and struggling merchants, the focus has shifted toward regulatory intervention. The Chinese government has previously emphasized the demand to rectify “involution-style” competition, leading to the revision of the Anti-Unfair Competition Law.
However, the market remains saturated. With more people entering the workforce due to losses in other industries, the “too many wolves, too little meat” scenario persists. This saturation makes it easier for platforms to keep wages low, as there is always someone else willing to take the order.
The long-term sustainability of this model is questionable. When the workforce—composed largely of rural youth—reaches a breaking point, the infrastructure of urban convenience may face a systemic crisis.
For more insights on labor trends, see our analysis on the shifting landscape of urban employment and the impact of algorithmic management on worker mental health.
Frequently Asked Questions
Why has delivery rider income dropped so sharply?
The drop is attributed to intense low-price competition between platforms (the “delivery wars”), an increase in the number of riders entering the market due to economic slowdowns, and algorithmic pressure that reduces per-order pay.
Who is most affected by these changes?
Rural youth, particularly those from Hebei province working in cities like Beijing, are heavily impacted as they have fewer alternative employment options.
What is the “system” mentioned by riders?
The “system” refers to the automated dispatch algorithms used by platforms to assign orders, track timing, and determine payment, effectively controlling the rider’s earning potential.
What do you think about the future of the gig economy?
Do you believe regulation can protect riders, or is this an inevitable result of market saturation? Share your thoughts in the comments below or subscribe to our newsletter for more deep dives into global labor trends.
