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China orders its apps to stop sending orders to exhausted drivers. The algorithm is now subject to collective bargaining.

Posted on April 26, 2026 By 164news66 No Comments on China orders its apps to stop sending orders to exhausted drivers. The algorithm is now subject to collective bargaining.

China Formalizes Gig Worker Protections with Algorithm Transparency and 2027 Deadline

April 26, 2026 – 11:52 am

TL;DR

China’s CPC Central Committee and State Council issued comprehensive labor rules for the country’s 200+ million gig workers—the first time the party’s highest authority has formalised protections for platform workers. The rules mandate:

  • Minimum wage
  • Maximum working hours enforced by apps
  • Algorithm transparency subject to collective bargaining
  • A 2027 compliance deadline

These regulations are a blend of labor policy and demand-side economics, aiming to boost consumer spending in the country’s pivot towards consumption-driven growth.

The Rules

The new rules establish several concrete protections:

  • Platforms must ensure gig workers receive at least the local minimum wage plus reasonable holiday compensation.
  • Maximum consecutive order-taking time and daily working hours are determined through negotiations with labor unions or worker representatives. Once reached, the app stops dispatching orders and sends rest reminders.
  • When conditions for an employment relationship exist, businesses must enter into employment contracts; otherwise, written agreements specifying terms are required.
  • Platform rules must be publicly displayed for at least seven days before taking effect, and they should involve worker input during formulation or revision.

The algorithm provisions are a unique aspect, marking a significant departure from previous Chinese labor regulation and contrasting with practices in the EU and US regarding gig workers. Platforms must develop and regularly revise algorithms that control various aspects of work, including onboarding, task assignment, payment structures, and incentives.

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