On March 7, 2026, China’s human resources minister Wang Xiaoping said the government is studying policies to use artificial intelligence to create new jobs and upgrade traditional roles. Officials and advisers also floated requiring large employers to file impact assessments before deploying AI at scale to replace human workers.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
China is starting to put real policy muscle behind the question every advanced economy is wrestling with: how do you let AI rip through the productivity frontier without blowing up employment? Wang Xiaoping’s remarks at the Two Sessions signal that Beijing doesn’t see AI purely as a threat to jobs but as a lever to create new ones, especially in the digital economy, high‑end manufacturing, and modern services. The idea of formal impact assessments before firms roll out large‑scale AI worker replacement plans is notable; it borrows from environmental and competition policy playbooks and applies them directly to automation.
For the race to AGI, this matters less as a technical milestone and more as a governance precedent in the world’s second‑largest economy. If China couples massive AI industrial policy with guardrails around employment, it could sustain political support for very aggressive AI deployment across sectors. That in turn means more data, more edge‑case exposure, and faster model‑driven process redesign at scale—conditions that tend to favor rapid capability gains, even if some deployment paths get slowed or redirected by labor‑impact reviews.
