Vietnamese Labour-Market Signals 2024-2026 for Major-Selection Decisions: A Sector × Major × Education-Level Synthesis with AI-Disruption Overlay and a 17-Year-Old's Reality-Check Protocol

The Vietnamese major-selection framework synthesised in I3.1 specifies a labour-market reality-check at Step 4 but defers the data consolidation. This paper supplies that consolidation. It synthesises the publicly available 2024-2026 Vietnamese labour-market evidence base — General Statistics Office (GSO) Niên giám Thống kê 2023 and 2024, GSO Labour Force Survey quarterly bulletins, MOLISA labour-market reports, the World Bank Skilling for the Future 2024 review, the ILO Vietnam Employment, Wages and Skills synthesis, the ADB Vietnam Skills Development series, the OECD Skills Strategy Vietnam line, the WEF Future of Jobs 2024 country breakdown, the Acemoglu 2024 macro-AI literature, MPI FDI registry data, and the major Vietnamese commercial labour-market sources (VietnamWorks Salary Report, JobStreet Vietnam, TopCV, JobsGO, Adecco Vietnam, TopDev) — into a sector × major × education-level descriptive matrix; classifies each signal class as forward-leading (job postings, wage trends, FDI flows, ngành đào tạo expansion), coincident (current employment by sector), or lagging (graduate-employment surveys 12-18 months postgraduation); produces a wage-tier ladder by sector and education level for tier-1 cities (Hà Nội, TP.HCM) versus regional flagships; overlays an AI-disruption profile per the I4.3 thesis applied to the top Vietnamese sectors using robustness-across-scenarios framing rather than occupation-disappearance prediction; and consolidates an operationally usable reality-check protocol for a 17-year-old completing Step 4 of the I3.1 framework. The protocol specifies which data sources to consult, what each source actually tells the chooser, what each source does not tell them, the triangulation rule across forward-leading and lagging signals, and the recommended refresh cadence. Five worked examples are produced for the sectors most-asked-about in Vietnamese career-guidance content: công nghệ thông tin (CNTT), kế toán, sư phạm tiểu học, y khoa, and ngôn ngữ Anh. A projection band 2026-2030 is delivered with explicit confidence registers (measured / plausible / speculative) so a chooser can distinguish what is known from what is projected. The paper documents honestly the data-quality gap in Vietnamese graduateemployment surveys — university self-reporting, methodological unevenness across institutions, response-rate variability, and a 12-18 month measurement lag — and recommends triangulation across forward-leading sources rather than reliance on any single survey. The contribution is not a major ranking and not a forecast of which jobs will exist; it is the descriptive substrate plus a triangulation discipline that converts noisy signals into a

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-12
DOI
https://doi.org/10.5281/zenodo.20131634
Primary Topic
Economic and Technological Innovation
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Vietnamese Labour-Market Signals 2024-2026 for Major-Selection Decisions: A Sector × Major × Education-Level Synthesis with AI-Disruption Overlay and a 17-Year-Old's Reality-Check Protocol

That Le
Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
preprint

Vietnamese Labour-Market Signals 2024-2026 for Major-Selection Decisions: A Sector × Major × Education-Level Synthesis with AI-Disruption Overlay and a 17-Year-Old's Reality-Check Protocol

That Le
preprint en

Abstract

The Vietnamese major-selection framework synthesised in I3.1 specifies a labour-market reality-check at Step 4 but defers the data consolidation. This paper supplies that consolidation. It synthesises the publicly available 2024-2026 Vietnamese labour-market evidence base — General Statistics Office (GSO) Niên giám Thống kê 2023 and 2024, GSO Labour Force Survey quarterly bulletins, MOLISA labour-market reports, the World Bank Skilling for the Future 2024 review, the ILO Vietnam Employment, Wages and Skills synthesis, the ADB Vietnam Skills Development series, the OECD Skills Strategy Vietnam line, the WEF Future of Jobs 2024 country breakdown, the Acemoglu 2024 macro-AI literature, MPI FDI registry data, and the major Vietnamese commercial labour-market sources (VietnamWorks Salary Report, JobStreet Vietnam, TopCV, JobsGO, Adecco Vietnam, TopDev) — into a sector × major × education-level descriptive matrix; classifies each signal class as forward-leading (job postings, wage trends, FDI flows, ngành đào tạo expansion), coincident (current employment by sector), or lagging (graduate-employment surveys 12-18 months postgraduation); produces a wage-tier ladder by sector and education level for tier-1 cities (Hà Nội, TP.HCM) versus regional flagships; overlays an AI-disruption profile per the I4.3 thesis applied to the top Vietnamese sectors using robustness-across-scenarios framing rather than occupation-disappearance prediction; and consolidates an operationally usable reality-check protocol for a 17-year-old completing Step 4 of the I3.1 framework. The protocol specifies which data sources to consult, what each source actually tells the chooser, what each source does not tell them, the triangulation rule across forward-leading and lagging signals, and the recommended refresh cadence. Five worked examples are produced for the sectors most-asked-about in Vietnamese career-guidance content: công nghệ thông tin (CNTT), kế toán, sư phạm tiểu học, y khoa, and ngôn ngữ Anh. A projection band 2026-2030 is delivered with explicit confidence registers (measured / plausible / speculative) so a chooser can distinguish what is known from what is projected. The paper documents honestly the data-quality gap in Vietnamese graduateemployment surveys — university self-reporting, methodological unevenness across institutions, response-rate variability, and a 12-18 month measurement lag — and recommends triangulation across forward-leading sources rather than reliance on any single survey. The contribution is not a major ranking and not a forecast of which jobs will exist; it is the descriptive substrate plus a triangulation discipline that converts noisy signals into a

Zenodo (CERN European Organization for Nuclear Research)
ElSohly Laboratories (United States) (US)
Decent work and economic growth
Economic and Technological Innovation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.