China’s high-profile industrialist Dong Mingzhu has pushed back against alarmist narratives that artificial intelligence will render human workers obsolete. Speaking in recent public remarks, Dong described AI as “essentially a tool” that can improve efficiency but cannot fully replace people, urging firms and policymakers not to treat machines as a wholesale substitute for labour.
Her view reflects a pragmatic stance from the head of Gree, one of China’s largest appliance makers, which is navigating an era of rapid automation and intensifying competition. Dong emphasised that technology should be deployed to raise productivity and sharpen product features rather than as an excuse to discard employees or ignore the human dimensions of manufacturing and service work.
The comments arrive amid broader national and global debates about AI’s labour-market impact. In China, where manufacturing still employs millions and the state has signalled support for both technological upgrade and social stability, corporate leaders’ public reassurances matter: they shape investor expectations, worker sentiment and the contours of debate about retraining, social protection and industrial strategy.
Dong also stressed that product differentiation remains central to competitiveness: while AI and automation can streamline operations, the core of consumer demand is distinctive, reliable products. That argument points to an approach some Chinese manufacturers are taking — marrying digital tools with traditional strengths in scale and supply-chain mastery rather than pursuing cost-cutting automation alone.
Her remarks are notable for their political as well as commercial resonance. In a policy environment that prizes employment stability, high-profile executives who underline the limits of automation help to defuse social anxieties and align corporate behaviour with government priorities on jobs and income growth.
At the same time, Dong’s stance is an implicit warning to managers and policymakers: technological adoption without attention to workforce transition risks social friction and wastes potential gains. The practical questions ahead — how to reskill workers, where to invest in human-centric AI applications, and how to redistribute productivity gains — will determine whether automation is a source of growth or disruption.
For international observers, Dong’s message offers two takeaways. First, even champions of industrial upgrade in China are keen to frame AI as an augmenting force rather than an existential threat to labour; second, competition in consumer markets will increasingly hinge on how firms combine digital efficiency with product quality and brand trust.
The debate is far from settled. Companies will continue to experiment with automation and AI, but the political economy of employment in China means technological change will proceed in close conversation with social policy, corporate strategy and public expectations.