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Workers in China worry over being replaced as they adapt to the growing impact of AI on jobs
URL SCAN: Workers in China worry over being replaced as they adapt to the growing impact of AI on jobs
FIRST LINE: HONG KONG (AP) — Computer programmer Fei Zhaojun's boss asked him if artificial intelligence could soon replace humans in coding jobs.
The Dissection
This article is a field report on P1 with the terminal conclusion amputated. It documents layoffs, translation pay falling by more than half, declining interest in foreign-language programs, rapid enterprise AI adoption, shrinking creative production, advancing delivery robots, and technology-sector restructuring. It then reframes the wreckage as adaptation: workers use AI, start studios, make videos, or wait for demographic change to absorb the shock.
Its actual function is to make replacement psychologically legible without making it politically or systemically decisive. It shows AI entering offices, factories, logistics, and creative pipelines, then presents individual improvisation as a viable economic response.
The Core Fallacy
It confuses continued human activity with continued human economic necessity.
“Use AI as a tool” is not a survival mechanism when everyone can access similar tools and the owners of models, compute, distribution, and capital capture the gains. A worker helping train an AI system may simply be accelerating the technology that destroys his bargaining power. Tool access does not confer ownership.
The article also treats demographic shrinkage as a possible offset. That is a lag defense, not a reversal. A smaller workforce can reduce the number of people displaced while leaving the majority economically unnecessary. It does not restore the wage-to-consumption circuit.
Hidden Assumptions
- Productivity gains will create enough new jobs instead of reducing labor demand and concentrating returns among AI owners.
- Access to AI tools means workers share in the value those tools generate.
- Vlogging, freelance translation, and independent publishing can produce stable income rather than becoming overcrowded, low-price residual markets.
- Human judgment and teacher-student interaction will remain economically indispensable rather than protected temporarily by institutional or trust-based inertia.
- Government-led AI diffusion can accelerate productivity without accelerating mass displacement.
- Lower unemployment caused by population aging would mean stronger worker viability, rather than simply fewer workers being required.
- Social stability can absorb wage destruction through adaptation or transfers without confronting the collapse of productive participation.
Social Function
Classification: partial truth, transition management, and ideological anesthetic.
The partial truth is substantial: this is not merely speculative job anxiety. The supplied cases show actual layoffs, wage compression, declining educational demand, and rapid adoption. The anesthetic is the adaptation narrative—“if you can’t beat them, join them”—which transfers responsibility for systemic displacement onto individuals. The transition-management message is that people should reskill, freelance, experiment, and wait for demographics to rescue the labor market. That may preserve niches for a minority; it cannot preserve mass employment.
The Verdict
The article documents the early phase of the Discontinuity Thesis more clearly than it admits. China is using policy and industrial scale to accelerate P1 while workers absorb the first amputations. The reported adaptations are mostly servitor or hyena positions, not sovereignty: workers remain dependent on employers, clients, platforms, and AI owners.
The economic circuit is already fraying: fewer jobs, lower pay, weaker household confidence, and reduced consumption. Aging may buy time. Human judgment may preserve pockets of work. Neither repairs the structure. The hopeful ending is not evidence of system survival; it is the first-stage social script for learning to live inside the replacement process.
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