China’s minister for human resources and social security, Wang Xiaoping, told a livelihood-focused press briefing at the National People’s Congress on March 7 that the ministry is studying measures to harness artificial intelligence both to create new jobs and to augment traditional roles. The announcement framed AI as a tool for “inclusive development,” aiming to align technological progress with improvements in people’s livelihoods rather than allowing automation to erode employment opportunities.
The statement is short on detail but significant in tone. It arrives as Beijing doubles down on an industrial policy that prizes advanced computing and AI while trying to defuse domestic anxieties about unemployment and social stability. Officials have in recent months emphasised vocational training, development of new occupations, and targeted support for older and displaced workers — and Wang’s remarks indicate the human-resources wing of government intends to fold AI into that policy toolbox.
The backdrop is familiar: China is pursuing commercial and state-led AI platforms at scale, driving demand for new capabilities across cloud, chips, algorithms and large models. At the same time the economy faces persistent structural challenges — from slower growth to a large cohort of university graduates entering the labour market — that make employment an increasingly sensitive policy priority. Framing AI as a source of jobs and job enhancement helps Beijing reconcile technological ambition with social objectives.
Practically, Beijing’s approach is likely to combine supply- and demand-side measures. On the supply side, expect accelerated certification of new occupations, expanded vocational and digital-skills training, and special programmes for older and mid-career workers. On the demand side, the state can use procurement, subsidies, and partnerships with large tech firms to stimulate companies that deploy AI in ways that complement human labour — for example, through human-in-the-loop applications, new service roles, and AI-enabled small-business tools.
The policy pivot has broader implications for companies and foreign observers. For domestic startups and incumbents it signals market encouragement for tools that boost worker productivity and create auxiliary services, from AI-assisted manufacturing operators to customer-service specialists trained to work with bots. For foreign firms and investors, Beijing’s line underscores that Chinese AI policy will be shaped as much by social governance and employment management as by competition for technological leadership.
Risks and limits remain. Creating “good” jobs is harder than creating tasks; many AI-enabled roles may be part-time, platform-based, or lower-paid unless paired with labour protections and standards. Regional disparities in training capacity could leave interior provinces or smaller firms behind, and rapid deployment without robust oversight could accelerate precarious gig work and weak social protections. Wang’s pledge sets the intent; the substantive test will be the detail and scale of the measures that follow.