Risk of labour shortages in core industries

TEXT START: The unmanned aerial vehicle (UAV) market in Ho Chi Minh City is forecast to grow by around 40% annually, however the supply of highly specialised personnel meets only about 5-7% of demand.

The Dissection

The text converts a real transitional bottleneck into a comforting development narrative. It treats shortages of semiconductor engineers, UAV specialists, AI workers, and automation personnel as proof that human labor remains the foundation of future growth. Its proposed remedy is familiar: expand universities, align curricula with businesses, create dual education, and coordinate the State, schools, and employers.

The article is therefore not diagnosing the economic system. It is managing the transition psychologically and administratively. It tells institutions that better training can preserve their centrality while the ownership and control of AI-enabled production remain elsewhere.

The Core Fallacy

The central error is confusing temporary scarcity of specialized labor with durable mass economic indispensability.

The shortage is real under current production conditions. But it is also a market signal: these sectors are immature, poorly automated, and still dependent on human interfaces. Training more workers helps firms deploy existing technology. It does not prove that those workers will remain necessary once AI systems improve chip design, engineering, diagnostics, coding, testing, documentation, and operational coordination.

The article assumes that each new high-tech sector creates a stable ladder of human employment. Under P1, the opposite pressure dominates: the more valuable and structured the work becomes, the more aggressively capital will automate it. Under P2, coordinated attempts to reserve these domains for humans will fail against cost and performance competition. Under P3, training can produce a temporary specialist caste without restoring broad productive participation.

The city is filling a pipeline into an occupation structure that may narrow faster than its universities can expand it.

Hidden Assumptions

• That demand forecasts through 2030 describe durable employment rather than a short deployment phase.
• That a six-to-eight-month corporate training period falling to one-to-two months represents lasting human advantage rather than accelerating automation readiness.
• That education can adapt faster than AI capability and capital deployment.
• That high-tech investment automatically creates broad-based wage income instead of concentrating returns among firms and owners of productive systems.
• That human “adaptability,” innovation, and technology mastery cannot themselves be automated or heavily augmented by AI.
• That the State, universities, and businesses can coordinate a stable human labor market against competitive incentives to substitute machines.
• That attracting 170 semiconductor FDI projects means Vietnam captures productive sovereignty rather than supplying labor around externally controlled capital.

Social Function

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

The partial truth is important: there are genuine shortages now, and skilled workers can command leverage in the near term. The anesthetic lies in presenting education reform as a systemic solution. It preserves the myth that workers merely need better credentials to remain economically secure.

The article also performs elite self-exoneration. If the transition later destroys employment, institutions can claim they pursued training, partnerships, and innovation. Responsibility is displaced onto workers who supposedly failed to adapt, while ownership of the automated productive base remains unexamined.

The Verdict

Accurate symptom, obsolete diagnosis. Ho Chi Minh City is not discovering a permanent human-labor renaissance; it is encountering the labor bottleneck that appears while AI-intensive industries are being installed. Training may create valuable Servitor positions and short-lived specialist moats, but it does not defeat the Discontinuity Thesis. The decisive question is not whether Vietnam can produce enough engineers by 2030. It is who owns the AI, semiconductor, energy, logistics, and automated production systems those engineers are being trained to serve.