Choose the right field, and don't be afraid of AI taking your job. - Vietnam.vn

TEXT START: Choose the right field, and don't be afraid of AI taking your job.

The Dissection

This is transition management disguised as career advice. It converts a structural threat—AI severing the labor-to-wage circuit—into an individual responsibility problem: choose better, learn continuously, develop “human” skills, and adapt.

The article acknowledges disruption while preserving the comforting premise that every student can still secure a viable place through correct preparation. The 22% figure measures jobs affected, not jobs eliminated, wage compression, or the downstream collapse in labor demand. The program’s institutional function is equally clear: keep students moving toward university, vocational training, credentials, and admissions pipelines while making the future appear manageable.

The Core Fallacy

It confuses surviving tasks with surviving jobs.

Critical thinking, communication, cultural understanding, and problem-solving may remain useful, but usefulness does not guarantee employment. Under P1, AI only needs durable cost and performance superiority across enough cognitive tasks to make human labor economically redundant. Employers can retain a few high-value operators while eliminating the larger workforce around them.

“AI assists humans” describes a transitional workflow, not the endpoint. Under P2, institutions cannot preserve stable human-only economic domains at scale. Under P3, adaptation may help individuals compete for shrinking roles, but it cannot restore mass productive participation.

“Choose the right field” is therefore a relative survival tactic masquerading as a systemic solution.

Hidden Assumptions

• Labor demand will continue expanding fast enough to absorb displaced workers.
• Human communication and cultural judgment will remain scarce rather than becoming AI capabilities.
• Continuous learning can outrun accelerating automation.
• Credentials will retain their labor-market value.
• Workers, rather than owners of AI capital, will capture productivity gains.
• AI exposure will remain partial and gradual instead of cascading through entire occupational structures.
• Medicine and language education can convert technical competence into durable bargaining power.
• Individual effort can overcome a collective collapse in the wage-consumption circuit.

The most important omission is ownership. The article tells students to become better users of AI, but says nothing about controlling the systems that capture the resulting value. That is the difference between a Sovereign and a replaceable operator.

Social Function

Primary classification: transition management and ideological anesthetic.

Secondary classifications: partial truth, prestige signaling, and lullaby.

The advice is not wholly false. Education, domain knowledge, physical presence, licensing, trust, and liability can create temporary niches. But the article inflates these lag defenses into career security. It shifts responsibility for a system-level displacement process onto teenagers who have no control over capital ownership, deployment decisions, or labor-market coordination.

English translation, editing, and routine text processing are already near the kill zone. Communication skills may delay replacement; they do not defeat it. Medicine has stronger physical, legal, and institutional moats, but those are hospice defenses, not immunity. AI can attack diagnosis, documentation, triage, research, scheduling, and other cognitive layers before the remaining physical work is compressed around fewer professionals.

The Verdict

This is a polished lullaby with some useful tactical advice buried inside it. It may help a minority select less-exposed niches or become indispensable Servitors. It cannot make mass employment durable.

The instruction not to fear AI is analytically indefensible. Fear is rational. Preparation is mandatory. The article offers students a map for navigating the first wave while pretending the ocean itself has not changed.