Top 5 Jobs in Education That Are Most at Risk from AI in Viet Nam - And How to Adapt

Vietnamese educators and school staff are already feeling the ripple effects of a global shift: AI is moving from hype to core infrastructure and, in the fast-growing Asia‑Pacific market, is reshaping how students learn and institutions operate.

Global analyses show AI boosting personalized learning, cutting teacher administrative time by roughly 44%, and - even more striking - producing up to 54% higher test scores in AI‑enhanced programs, which matters for VN classrooms where scalability and outcomes drive policy and parental choices (HolonIQ 2025 education trends snapshot on AI and workforce pathways, Engageli report on AI in education statistics and outcomes).

For Vietnamese teachers, tutors, and administrators the question is not if jobs will change but how to adapt: practical, role‑based training - like the AI Essentials for Work bootcamp - teaches usable AI skills and prompt techniques that help educators stay relevant in a rapidly evolving system (AI Essentials for Work Nucamp bootcamp registration).

To identify the Top 5 education roles in Vietnam most exposed to AI, the selection blended three practical lenses: market signals (what employers now value), system readiness (how national infrastructure and policy shape adoption), and task‑level susceptibility (which daily duties can be automated or augmented).

Market urgency comes from local hiring trends - nearly 80% of Vietnamese business leaders now prioritise AI skills over traditional experience - so roles tied to routine, repeatable tasks were scored higher for near‑term risk (AI for Vietnam - Urgency of AI Education report).

Country context used the Government AI Readiness Index framework to weight public procurement, data access, and governance as moderators of how quickly schools and private providers can deploy AI at scale (Government AI Readiness Index 2024 - Oxford Insights).

Finally, practical adaptiveness favoured roles where role‑specific training and pilots can reskill workers fast; this emphasises hands‑on, role-based programs and gamified modules for faster adoption (AI Essentials for Work syllabus - Nucamp).

The result: a shortlist that balances how likely a job is to be automated with how feasible and fast local educators can pivot - imagine an admissions officer swapping hours of paperwork for a single afternoon of student outreach once AI handles routine files.

Registrars and admissions officers in Việt Nam are among the education roles most exposed to near‑term automation because their day‑to‑day work - processing applications, verifying documents, updating student records - is highly routine and already the focus of digitalisation efforts; higher education reforms and campus tech projects are simplifying admissions workflows and improving enrollment management (Educause report on digitalization in Vietnamese higher education institutions).

At the same time, national automation trends show steady uptake - about 10% of operational tasks were automated in the three years before 2022 and a large share of organisations plan further automation - so expect intelligent document processing, OCR and CRM automation to handle bulk filing and routine queries soon (akaBot overview of the automation landscape in Vietnam).

The practical implication: registrars who currently spend hours on paperwork could be re‑skilled to oversee data quality, run outreach campaigns, or design equitable admissions policies; targeted, role‑specific AI training and gamified upskilling pathways accelerate that shift and lower adoption costs (role-specific AI training programs for higher education staff in Vietnam).

A vivid test: when automation replaces repetitive form‑checks, the new benchmark for success becomes time spent improving student access, not time spent stamping envelopes.

"AI and robotics would soon replace humans in many jobs as these technologies would create a new class of AI labour that never tires, needs no bonuses, and never takes sick leave," said Tiến.

Large‑group lecturers and test‑drill instructors in Việt Nam face a clear double‑edge from Generative AI: studies from Vietnamese universities show tools like ChatGPT, Duolingo and Gemini can deliver personalised practice and near‑instant feedback that eases heavy marking loads and boosts student autonomy, especially in English writing and vocabulary work (Study: Generative AI in English Teaching and Learning in Vietnam), yet systematic reviews warn integration is still early, with teachers divided over reliability, academic integrity and the need for prompt training and assessment redesign (Systematic review of ChatGPT use in EFL writing classes).

For large lectures and drill courses the practical stake is simple: AI can automate repetitive correction and generate tailored practice at scale, freeing time for higher‑value activities - but only if schools invest in teacher upskilling, clear ethical guidelines, and classroom workflows that prevent over‑reliance.

Role‑specific, gamified modules that blend prompt craft with assessment design shorten that runway to safe adoption and help preserve what machines cannot replace: human judgment, classroom management, and the spark that turns rote practice into real learning (Gamified immersive learning modules for AI prompt craft and assessment).

Graders and assessment technicians in Việt Nam are squarely in AI's early strike zone - not because machines will replace judgement, but because AI can swallow the grinding, repetitive parts of scoring and surface the signals humans need faster: one education analysis found machine‑assisted grading of short answers cut manual marking time by about 73%, and other guides report 70–80% reductions in routine assessment work, freeing teams to focus on calibration, fairness and intervention (AI assessment tools for educators - SchoolAI, AI-powered feedback and grading - LearnWise).

For VN schools and testing centres that still wrestle with paper backlogs, the practical shift is striking: a scorer who once stacked exam booklets can instead monitor dashboards that flag misconceptions in real time and design targeted remediation.

But implementation matters - ethics, bias mitigation, and human oversight are recurring caveats in sector guidance, which recommends hybrid workflows, transparent rubrics and phased pilots to keep AI as an amplifier of educator judgement rather than a black box (AI in educational assessments: balancing innovation with responsibility - e‑Assessment).

The smart play for VN institutions is role‑specific reskilling and small pilots that prove AI saves time while preserving trust - think: fewer red pens, more one‑to‑one coaching.

“As it (AI) has the potential to improve speed, consistency, and detail in feedback for educators grading students' assignments.” – Rohim Mohammed, Lecturer at University College Birmingham

Low‑skill private tutors who rely on memorization and endless drills - especially for language drills and rote math practice - are among the most exposed in Việt Nam because students increasingly accept AI as a convenient, personalised practice partner: a study of Vietnamese students found ChatGPT was viewed as a useful tool that engages learners and supports language learning while warning that over‑reliance can blunt critical thinking and creativity, so a compromise between AI and conventional teaching is advised (Study of Vietnamese students using ChatGPT for language learning).

Practically, that means the tutors who thrive will be the ones who stop competing with chatbots on repeat drills and instead supervise AI‑generated exercises, add human feedback, and design follow‑up tasks that build reasoning.

Role‑specific upskilling and short, gamified modules make that pivot realistic and fast - programs that teach prompt craft, assessment design, and ethical use help tutors move from rote‑machine competitors to guided practice coaches (Role-specific AI training programs for tutors in Viet Nam, Gamified AI learning modules for education in Viet Nam), turning a once‑humdrum drill session into an opportunity to teach thinking, not just recall.

Content authors and textbook writers in Việt Nam face a fast‑arriving fork: AI can draft scalable, adaptive textbooks and generate banks of practice items - tools that publishers and ministries overseas are already piloting - but it can't reliably craft lessons that provoke deep thinking or guarantee inclusive, culturally relevant material, so human authors must move up the value chain to editing, knowledge‑engineering, and curriculum design.

Generative systems can accelerate first drafts, spot concept gaps, and produce differentiated examples (useful for localising content at scale), yet a study that analysed 310 AI lesson plans found only about 4% asked students to analyse or create - most prompts stayed at rote recall - so the real work becomes shaping AI output into higher‑order tasks and safeguarding equity and accuracy (EdWeek analysis: Why AI may not be ready to write lesson plans).

Practical moves for VN authors include adopting “concept‑check” tools and bias detectors, co‑designing AI‑assisted textbooks with clear guardrails, and shifting professional development toward prompt literacy and ethical review - approaches already recommended for publishers embracing AI‑powered materials (LearningMole: How AI is influencing educational publishing, Getting Smart: Customizable AI‑powered textbooks reshape learning).

The memorable test is simple: if a digital textbook makes every lesson feel like a rephrased chapter, it failed; when AI helps authors surface richer, contextualised problems that students must wrestle with, it succeeds.

“The teacher has to formulate their own ideas, their own plans. [Then they could] turn to AI, and get some additional ideas, refine [them]. Instead of having AI do the work for you, AI does the work with you.” - Robert Maloy

Vietnam's path forward is clear: national momentum (Vietnam's strong World AI Index showing, large teacher-training drives and local pilots) plus policy muscle mean the country is well placed to make AI a practical ally in classrooms - but success depends on coordinated, role‑specific action.

Practical next steps for Viet Nam include scaling ethical pilot projects that pair tools like Khanmigo with teacher oversight, priority funding and teacher upskilling driven by MOET's 2025 National Plan and multi‑stakeholder forums, and fast, task‑focused reskilling so registrars, graders, tutors and textbook authors can move from routine work to higher‑value roles.

The recent rollout of large‑scale training (for example, 4,000 Quang Tri teachers completing an “AI in Education” course) shows how quickly capacity can grow when ministries, NGOs and platforms align - a vivid reminder that adoption is as much social as technical.

To shorten the runway, combine national guidance with small, measurable pilots, adopt transparent data and bias safeguards, and offer hands‑on programs such as the AI Essentials for Work syllabus to build prompt literacy and practical AI skills for education staff.

“Education is a long-term cause that demands vision, perseverance and responsibility. I call on managers, teachers, staff and students to unite, prepare well and make this school year successful.” - Minister Nguyễn Kim Sơn