AI can help bridge digital gap: Experts - World - Chinadaily.com.cn

TEXT START: Artificial intelligence should be viewed not as a threat to jobs, but as a tool for creating them, particularly in developing economies where the right technology can accelerate progress that might otherwise take decades.

The Dissection

The text is performing institutional damage control. It acknowledges the machinery of displacement—falling demand for routine work, endangered graduate entry paths, reduced labor participation, and rising capital concentration—then subordinates those facts to a growth narrative about “small AI,” accessibility, skills, and job creation.

Its central maneuver is to treat AI adoption as automatically developmental. Productivity gains are presented as if they naturally become employment gains. They do not. The article describes the distribution problem, but offers education, hiring incentives, data collection, and affordability as substitutes for confronting ownership and control of the productive system.

The Core Fallacy

The main error is conflating increased productive capacity with increased demand for human labor.

AI can make firms more capable while requiring fewer workers. “Small AI” may help developing economies produce more with less labor; that is a productivity mechanism, not proof of mass employment creation. The article never establishes that new AI-enabled occupations will appear at the scale, wage level, speed, or accessibility required to replace the routine jobs being removed.

Under the Discontinuity Thesis, this is the decisive failure: the employment → wage → consumption circuit can be severed even while output and access to technology expand. A richer productive machine can coexist with a poorer, economically unnecessary population.

Hidden Assumptions

• New jobs will be created in sufficient volume to offset displaced routine work.
• Those jobs will be accessible to the same people whose roles are eliminated.
• Lifelong learning can outrun the speed of cognitive automation.
• Employers can be induced to hire graduates despite cheaper machine substitutes.
• Productivity gains will diffuse broadly rather than accrue to AI owners and controlling institutions.
• Digital access will translate into economic bargaining power.
• Capital concentration can be managed through fiscal adjustment without changing ownership.
• Preventing “prolonged joblessness” is primarily an education and policy-design problem rather than a structural demand problem.
• Human labor will remain indispensable in enough cognitive domains to preserve mass participation.

None of these assumptions is demonstrated. Several are directly contradicted by the article’s own warnings.

Social Function

Classification: partial truth, transition management, and ideological anesthetic.

The partial truth is that AI can raise productivity, expand access, and create specialized niches. The anesthetic is the implication that these niches constitute a replacement for the mass labor system. The article gives policymakers a respectable vocabulary—agility, lifelong learning, affordability, structural incentives—with which to discuss displacement without naming the underlying power transfer.

Its most revealing sentence is the warning about “reduced labor participation and rising capital concentration.” That is the actual crisis. Everything else is largely a program for making the transition appear governable while leaving the ownership structure intact.

The Verdict

This is not an argument that AI will preserve employment. It is a bureaucratic lullaby for a system that can see the labor circuit breaking but still speaks as though training and access will repair it.

AI may bridge a digital gap while widening the economic gap. If machines capture productive capacity and humans do not control the assets producing the gains, development becomes efficient dispossession: more output, fewer necessary workers, and a larger population dependent on transfers or patronage. The article identifies the corpse’s symptoms, then labels them a skills gap.