Across sectors from advertising to tech, the shift is subtle but pervasive. Rather than issuing severance notices, employers are simply failing to renew contractor agreements and curbing graduate intake. Internal workflows are being re-engineered around automated systems like OpenClaw, allowing smaller teams to maintain or exceed previous output quotas. Performance reviews in some firms now hinge on AI usage metrics, effectively weeding out staff who fail to integrate these tools into their daily routines.
Beijing finds itself caught in a precarious balancing act. While the "AI Plus" policy demands rapid technological modernization to bolster global competitiveness, the government remains wary of the social fallout from widespread joblessness. Current labor regulations require official approval for large-scale redundancies, and courts have previously penalized companies for layoffs explicitly linked to automation. This legal friction has forced a pivot toward a more granular, invisible reduction of headcount.
This transition creates a profound structural challenge for the world’s second-largest economy. With youth unemployment already elevated, the rapid erosion of entry-level and mid-skill roles risks exacerbating inequality. While productivity gains in manufacturing may offer some long-term economic offsets, the current pace of displacement is outpacing the creation of new, high-skill positions. For now, the strategy remains one of managed contraction, testing how effectively a state-led economy can decouple industrial efficiency from the traditional metrics of full employment.





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