A superpower leading in the development of artificial technology, China faces an unusual and no less controversial situation, as the Justice of the Asian giant has decided to prohibit the replacement of human labor by AI
, understanding that companies, when claiming the need for ‘cost-cutting’, have not taken proper responsibility for the social impact of the massive use of automation.
The rapid spread experienced by AI (Artificial Intelligence) in recent years has raised fears that the new technology could cut millions of jobs across all corners of the planet. For now, the only exception is the CEOs Sam Altman of the tech giant OpenAI and Jensen Huang of Nvidia, respectively, who, after proclaiming the ‘employment apocalypse’, now adopt the rhetoric that such concern would be ‘exaggerated’. But the ‘change of discourse’, in fact, masks the corporate interest in ensuring a positive performance of their respective shares in the capital market. Indeed, there is a trend that the massive use of this artificial technology is quickly cutting jobs.
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Chinese justice prohibits replacement of employee by AI
In contrast – despite the prospect of dominating, in a very short time, the global market for this technology through massive investments – the Judiciary of China has prohibited local companies from ‘simply’ replacing employees with AI, under the pretext of ‘cutting costs’, without taking responsibility for the social impact resulting from the use of automation.
Apparently, without showing ‘automatic alignment’ with Beijing, the mandarin judges believe that it is up to corporations, at least in part, to bear the social cost of ‘technological replacement’, given the trend of high unemployment, loss of income, and rising professional insecurity.
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Asian giant presents army of robots
At the same time, the Asian giant already operates with more than 2 million industrial robots, while replacing humans in urban services. The largest Chinese delivery platform Meituan already performs around a thousand daily deliveries with autonomous robots in Shanghai.
More truthful and credible, the British bank Standard Chartered admitted that it intends to cut thousands of jobs by 2030, arguing that AI will increase operational efficiency, aiming at increased profitability.
Prophetically, the CEO of another big tech, Dario Amodei, from Anthropic, was more incisive, predicting that about 90% of jobs will be automated, leaving only the remaining 10% for workers.”
Low professional qualification foreshadows social drama
In Brazil, in turn, data from IBRE/FGV indicate that almost half of the workforce would be exposed to the impact of AI, which attests to the local social drama due to the low professional qualification of the local market. Worse, there is no consistent public policy on the horizon to mitigate the problem. In this regard, the challenge of transforming automation into an inclusive model that allows workers to supervise and direct AI, instead of being replaced by it, remains unanswered.
Job offers experience sudden drop
In a comprehensive analysis of the U.S. labor market, taking into account real-time online job vacancies, last year, the World Bank (Bird) observed that after the launch of ChatGPT, there was an average 12% drop in job offers. The institution also emphasizes that in the period between the end of 2022 and June 2025, the replacement of humans by machines increased from 6% in the first year to 18% in the third “as the technology matures and spreads, with a more significant drop among candidates without a degree or at the beginning of their careers, such as those in administrative support activities (40%) or professional services (30%).
Among the activities where the human species could remain safe from the ‘invasion of technology’, experts point out some ‘gaps’:
- AI supervision: ability to review and ensure the quality of results generated by algorithms.
- Social skills: empathy, leadership, creativity, and emotional intelligence — characteristics that machines do not possess.
- Complex problem-solving: using critical reasoning to guide technology towards expected results.

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