Workers in China worry over being replaced as they adapt to the growing impact of AI on jobs

TEXT START: Computer programmer Fei Zhaojun's boss asked him if artificial intelligence could soon replace humans in coding jobs.

The Dissection

The article documents the early stages of the employment circuit being severed: AI adoption rises, narrow cognitive roles contract, wages fall, firms restructure, and displaced workers improvise with AI-enabled side ventures. It correctly shows that substitution is already occurring, not merely predicted.

But its framing converts a structural rupture into a labor-market adjustment story. Layoffs become “adaptation,” independent work becomes a possible escape route, and human judgment is treated as a durable residual role. The article catalogs the corpse while implying that better repositioning might revive it.

The Core Fallacy

The central error is confusing labor scarcity with economically necessary human participation.

China’s aging population may create shortages of workers in selected tasks. Automation can fill those tasks while simultaneously destroying wage income across software, translation, media, delivery, and other sectors. Fewer workers needed does not mean displaced workers regain purchasing power. Productivity can rise while the mass employment-to-wage-to-consumption circuit collapses.

The article also treats “AI as a tool” and human selection as stable moats. They are not. If AI generates the options, performs the production, and increasingly verifies its own output, selecting among outputs becomes another low-value coordination layer. Independent creators and AI-enabled entrepreneurs are not a mass solution; they are a crowded transition niche whose returns are competed away.

Hidden Assumptions

• Productivity gains will translate into sufficient new jobs rather than concentrating returns among AI owners.
• Aging will absorb displaced workers instead of merely reducing the number of people needed to produce output.
• Human oversight, taste, and judgment will remain scarce after AI systems improve.
• Workers can individually adapt at the speed and scale required by economy-wide substitution.
• New AI-enabled businesses will create broad employment rather than a small number of winner-take-most positions.
• Government diffusion of AI can stabilize society without controlling ownership of the productive systems.
• A roughly stable headline unemployment rate captures underemployment, wage collapse, discouraged workers, and declining job quality.

These assumptions are not demonstrated. They are the scaffolding holding up the article’s cautious conclusion.

Social Function

Primary classification: transition management and ideological anesthetic, with a substantial partial-truth component.

The article prepares readers to accept displacement as an individual adaptation problem: learn the tools, start a venture, become more flexible. It acknowledges social instability and consumption weakness, but avoids the harder ownership question—who receives the productivity gains when human labor is no longer required?

Its most revealing move is presenting demographic decline as a possible remedy. That reframes fewer humans being needed as favorable simply because fewer humans will be available. It is a demographic explanation applied to an ownership crisis.

The Verdict

This is an accurate field report wrapped in an inadequate theory of recovery. China’s aggressive “AI Plus” diffusion accelerates the three conditions of the Discontinuity Thesis: cognitive automation gains superiority, institutions cannot preserve human-only economic domains at scale, and productive participation contracts.

The article’s hopeful mechanisms—aging, adaptation, entrepreneurship, and human judgment—are lag defenses or temporary niches. They may slow visible unemployment, but they do not restore mass wage-based participation. The decisive variable is not whether China can automate enough work. It is whether those who lose economically necessary work retain ownership or control of the automated capital. The article observes the transition while refusing to name its governing fact: productivity can survive the workforce that once made society solvent.