AI Isn't Replacing Jobs in China (Yet) — CNBC's China Connection

CNBC's The China Connection newsletter reports that, despite rapid adoption of artificial intelligence, China has not yet experienced mass job displacement; firms are prioritizing efficiency gains and cost savings for now. The newsletter highlights a gap between high-profile declarations and on-the-ground outcomes.

Concrete developments cited include remarks from Zhou Hongyi, founder of 360 Security Technology, who said his company plans to replace its marketing team with generative AI tools, a comment that drew significant attention on Weibo. Meituan told investors that roughly 52% of new code was generated by AI, up from 27% in March, reflecting accelerating integration of AI into core operations. Meanwhile, Citi announced plans to cut about 3,500 tech jobs in China by October, and Anthropic CEO Dario Amodei warned AI could push unemployment into the 10–20% range over the next one to five years.

These developments have moved markets. CNBC noted that on the day of the report mainland China's CSI 300 rose about 0.8% while Hong Kong's Hang Seng Index climbed roughly 0.6% in early trade. Year-to-date moves were mixed, with CSI 300 showing a modest decline while the Hang Seng delivered more substantial gains, underscoring sectoral divergences as investors price in AI-related opportunities and macro risks.

In a broader economic context, China's AI push coincides with slower growth and weak domestic demand. The newsletter referenced sharp monthly drops in exports to the U.S. and highlighted policy responses: Beijing allocated 66.74 billion yuan for employment subsidies and launched pilot programs testing robots in elderly care. Those measures aim to blunt short-term labor-market stress as firms explore automation.

Analysts say AI will likely automate repetitive tasks and shift the skills employers seek, but widespread job loss depends on corporate strategies, retraining programs and government support. For markets, the near-term story is a trade-off between productivity improvements from AI adoption and downside risks from softer demand; upcoming hiring data and corporate disclosures about AI deployment will be key signals to watch.