AI: A Revolution Already Here, But at What Cost? - Trabajadores.cu

TEXT START: Artificial intelligence (AI) is no longer just a technological promise.

The Dissection

The article accurately inventories the visible symptoms: task automation, staff reduction, intensified work, algorithmic surveillance, opaque evaluation, regional inequality, and the mismatch between displaced workers and new occupations.

But its deeper function is transition management. It concedes that AI will eliminate tasks and reduce headcount, then relocates the decisive question to regulation, training, unions, and benefit-sharing. The text treats the crisis as a negotiable redesign of work rather than a structural break in the wage-to-consumption system.

The Core Fallacy

The central error is assuming that better rules can preserve mass productive participation after AI makes human cognitive labor economically unnecessary.

The article’s proposed remedies—collective bargaining, retraining, shorter hours, wage protection, algorithmic transparency, and redistribution—may soften displacement or preserve consumption. They do not restore workers’ necessity to production. Under the Discontinuity Thesis, once AI achieves durable cost and performance superiority, and institutions cannot maintain human-only economic domains at scale, productive participation collapses. A positive net job figure is irrelevant if the new jobs are inaccessible, inferior, geographically mismatched, or eventually exposed to the same automation cycle.

The text mistakes a distributional problem for a production problem. It assumes the system can keep paying people because it wants to, after it no longer needs most of them.

Hidden Assumptions

• Training can reliably convert displaced workers into economically indispensable workers.
• New occupations will scale fast enough to absorb those made redundant.
• Firms will voluntarily distribute productivity gains through wages or reduced hours.
• Trade unions retain sufficient leverage against capital that can substitute systems for members.
• Regulation can preserve stable human-only labor domains despite competitive pressure.
• Algorithmic accountability can correct the power imbalance rather than merely document it.
• Global South countries can close infrastructure, capital, and capability gaps before automation widens them.
• AI will remain a tool augmenting workers instead of becoming the controlling layer of production.
• Employment can remain the primary mechanism for dignity, income, and social integration after employment loses its productive function.

Social Function

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

The article is not false about the immediate effects. It correctly identifies the mechanism by which automation first arrives: task removal, lower staffing, higher intensity, surveillance, and unequal exposure. Its anesthetic quality appears in the implied solution. By presenting bargaining and reskilling as decisive, it preserves the belief that the old order can absorb AI without confronting concentrated ownership of AI capital and the disappearance of labor’s bargaining power.

It gives institutions a program and workers a battlefield, but not a credible answer to the terminal question: what happens when the economy needs their consumption but no longer needs their work?

The Verdict

The article sees the bleeding but prescribes a workplace policy manual for a severed artery. Its safeguards may delay the social death of the employment system and redistribute some gains, but they do not defeat the Discontinuity Thesis. AI’s decisive cost is not merely harsher work or obsolete skills; it is the conversion of the majority from producers with leverage into economically maintained consumers without ownership.