AI Is a Loud and Clear Threat to Unskilled Human Resources - The Asian Age

TEXT START: The rapid development of Artificial Intelligence (AI) is transforming the world of work at an unprecedented pace.

The Dissection

The text identifies visible symptoms—automation, displacement, Bangladesh’s exposure, and the vulnerability of routine labor—then converts a systemic rupture into a workforce-preparation problem. Its proposed cure is education, retraining, digital literacy, and employer responsibility.

That framing is politically convenient and structurally inadequate. It treats AI as a tool that rearranges occupations rather than as a mechanism that can sever the mass employment → wage → consumption circuit. The article sees the first wave of casualties but refuses to follow the machinery into the larger slaughterhouse.

The Core Fallacy

The central error is assuming that displaced workers can be moved into enough “new opportunities” through training. That only works when technological progress creates replacement demand at roughly the scale of eliminated labor. The Discontinuity Thesis rejects that assumption once AI achieves durable cost and performance superiority across cognitive work.

Training does not create economic necessity. It merely increases competition for the smaller number of jobs AI has not yet absorbed. “Working alongside AI” is not a stable destination for the majority; it is a temporary arrangement for workers who remain cheaper, more adaptable, or legally required than full automation.

The article also isolates “unskilled” workers as the threatened class. That is a staging error. Unskilled labor is the exposed edge of the process, not its boundary. As AI capability expands, routine white-collar, supervisory, analytical, translation, administrative, and eventually professional work enters the same kill zone.

Hidden Assumptions

• New occupations will emerge quickly and at sufficient scale to absorb displaced workers.
• Retraining can convert millions of people into economically indispensable workers.
• AI will remain mainly a supplement to labor rather than a substitute for it.
• Human institutions can coordinate a stable human-only economic domain.
• Businesses will retrain workers when replacement is cheaper and more reliable.
• Bangladesh’s labor-intensive sectors will retain their current export and employment logic.
• Productivity gains will be broadly distributed rather than captured by AI owners.
• Education can solve a problem caused by ownership, automation, and declining labor demand.

None of these assumptions is established by the article. Several contradict the thesis’s core mechanics.

Social Function

This is a partial truth functioning as ideological anesthetic and transition-management rhetoric. It acknowledges enough danger to appear serious, then redirects the reader toward familiar institutional remedies—schools, vocational programs, government coordination, and corporate retraining.

Its practical effect is to make structural displacement sound administratively manageable. Responsibility is distributed across institutions, while the decisive question—who owns and controls the automated productive system—is omitted. The article prepares workers to compete for diminishing relevance instead of confronting the possibility that productive participation itself is collapsing.

The Verdict

The article correctly detects that AI threatens routine labor, but it radically understates the event. It mistakes the opening breach for a localized skills shortage and prescribes retraining for a problem that may be caused by the permanent elimination of labor demand.

Under the Discontinuity Thesis, Bangladesh’s low-skilled workforce is not merely underprepared; it is positioned on the wrong side of an ownership transition. A minority may become AI operators, technicians, maintainers, or indispensable servitors. The rest face declining bargaining power, falling wages, and eventual exclusion from economically necessary work. Education may improve individual positioning. It cannot restore the mass employment circuit once AI no longer needs the masses.