China has unveiled its most comprehensive policy to date on managing the labour market effects of artificial intelligence, signaling that future AI deployment will be evaluated not only for its technological and economic benefits, but also for its potential impact on employment. According to a new policy document issued by the General Office of the State Council, authorities will promote AI-driven industrial development while introducing mechanisms aimed at mitigating job displacement risks and supporting workforce transitions.
The document, titled Opinions on Adapting to the Development of Artificial Intelligence and Building an Employment-Friendly Development Model (国办发〔2026〕29号), was released on 23 October and outlines 18 policy measures across six areas covering job creation, workforce training, social protection, labour rights and risk monitoring. The policy was approved by the State Council and dated 16 October 2026.
A notable feature of the framework is the introduction of employment-risk assessments for certain AI projects. Under the policy, AI application projects in market-access sectors that could have a significant impact on jobs will be subject to employment impact evaluations during the approval process. Authorities will also coordinate retraining and re-employment support where disruption is anticipated.
The policy further encourages companies implementing AI at scale to notify affected workers in advance and provide assistance for redeployment or occupational transition. It also proposes the exploration of “unemployment buffer period” arrangements during major AI-driven workforce restructuring.
From industrial policy to social policy
The document reflects a broader evolution in China’s AI strategy. Earlier policy initiatives largely focused on technological self-sufficiency, industrial competitiveness and infrastructure development. The new guidance places employment considerations alongside innovation objectives, suggesting that policymakers increasingly view labour market stability as a critical component of AI governance.
Rather than framing AI primarily as a source of productivity gains, the policy repeatedly emphasises balancing technological progress with employment preservation. It states that AI deployment should be prioritised in labour-shortage occupations and high-risk working environments, while authorities should take a cautious approach to the pace and scale of adoption in labour-intensive industries to minimise disruption to existing workforces.
At the same time, Beijing is seeking to capture the employment opportunities generated by AI. The policy calls for expansion of the “AI+” initiative, support for AI startups and specialised technology firms, and the development of new occupations related to AI engineering, training and digital management. Universities and vocational institutions are also encouraged to accelerate the creation of AI-related disciplines and interdisciplinary programmes.
In addition, the government plans to strengthen AI-focused vocational training for university graduates, migrant workers and unemployed individuals, while integrating AI education throughout the broader education system. The document also reiterates the government’s commitment to expand social protection mechanisms for flexible and platform-based workers who have become an important part of the workforce in recent years.
While similar debates over AI-driven job displacement are unfolding globally, the Chinese approach appears to combine industrial promotion with direct labour-market intervention. By embedding employment considerations into AI governance, the government is effectively treating workforce stability as a regulatory issue rather than leaving adjustment entirely to market forces.
With the establishment of formal employment-risk assessments, future AI deployment in China may face a higher level of regulatory scrutiny. For businesses operating in China’s AI ecosystem, compliance obligations may increasingly extend beyond data, security and algorithm governance to include demonstrating how AI adoption affects workers and employment outcomes.
Disclaimer: This article is for informational purposes only and does not constitute legal or compliance advice.
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