Don't let graduates be out of sync with the needs of businesses. - Vietnam.vn

TEXT START: The gap between the classroom and the reality of the workplace.

THE DISSECTION

This is a labor-market adjustment memo disguised as education reform. It admits that AI is absorbing entry-level cognitive tasks, then relocates the crisis into graduate deficiencies: weak critical thinking, poor punctuality, low perseverance, and inadequate adaptability.

Its proposed remedies—AI literacy, process-based evaluation, professional certifications, and greater business involvement—are attempts to preserve the credential pipeline and produce more adaptable workers for the remaining human niches. The article treats a structural collapse in labor demand as a training failure.

THE CORE FALLACY

It confuses making graduates more employable with making mass employment viable.

Under the Discontinuity Thesis, P1 makes cognitive labor cheaper and more capable through AI. P2 prevents institutions from preserving stable human-only economic domains at scale. P3 removes the majority from economically necessary work. Better communication, punctuality, and AI fluency may improve an individual’s position temporarily, but they do not restore the mass employment-to-wage-to-consumption circuit.

The article’s job-creation figures are treated as proof of opportunity without establishing that the new jobs will match the lost jobs in volume, wages, durability, geography, or accessibility. “New opportunities” is used as a sedative phrase for an unproven transition.

HIDDEN ASSUMPTIONS

• The main bottleneck is worker quality rather than the destruction of entry-level demand.
• Employers will continue hiring humans when AI can perform more cognitive work at lower cost.
• New jobs will appear in sufficient numbers to absorb displaced workers.
• Universities, businesses, and governments can coordinate faster than competitive automation proceeds.
• Credentials and competency certificates will retain market value as AI makes many forms of competence cheap and abundant.
• Human traits such as commitment and perseverance will remain economically decisive rather than becoming managerial preferences for workers competing against machines.
• Teaching people to use AI will preserve independent judgment instead of making them more efficient components of AI-mediated production.
• The burden of adjustment can be distributed fairly, although the proposed solution places most of it on students, teachers, and workers.

SOCIAL FUNCTION

Primary classification: transition management, partial truth, and ideological anesthetic.

The article contains a real observation: graduates often lack workplace skills, and AI requires a deeper redesign of education than adding a few software courses. But it uses that partial truth to conceal the larger mechanism. Students are told to become more adaptable while ownership and control of AI capital remain outside their reach. Businesses are invited to help train the workforce, preserving the labor supply that automation is steadily making less necessary.

The emphasis on punctuality, commitment, and perseverance also functions as managerial discipline. It converts declining worker leverage into a moral test of employee attitude. A graduate who cannot find durable productive participation is implicitly blamed for being insufficiently resilient.

THE VERDICT

This article correctly detects that AI is invalidating the old education-to-entry-level-job pipeline. Its proposed answer is structurally inadequate because it tries to repair the worker instead of confronting the disappearance of the worker’s economic necessity.

“Degree Plus,” AI training, employer partnerships, and self-learning may help a minority secure temporary Servitor positions in verification, coordination, transition intermediation, maintenance, or other protected niches. They cannot preserve post-WWII capitalism. This is not a strategy for defeating obsolescence. It is a transition manual for making graduates more usable while the employment system that was supposed to absorb them is being dismantled.