Key findings
- Clerical and related workers score 8.5/10 on AI exposure, covering around 2.1 million workers in banking operations, government administration, insurance processing, and the growing fintech and digital payments sector centred in Ho Chi Minh City and Hanoi.
- Professionals score 6.5/10, covering around 3.8 million workers - including Vietnam's rapidly expanding IT workforce. Vietnam graduates approximately 50,000 IT professionals annually and hosts R&D centres for Samsung, Intel, Bosch, and Siemens.
- Plant and machine operators score 3.5/10 on AI exposure but 7.5/10 on robotics risk, covering 7.2 million workers. Samsung's four factories in Bac Ninh and Thai Nguyen employ over 100,000 workers directly - and the automation of electronics assembly is accelerating.
- Agricultural and fishery workers score 2.0/10 on AI exposure, covering approximately 14 million workers. Vietnam is the world's largest cashew nut exporter and second largest coffee exporter - sectors where AI disruption is slow but precision agriculture is emerging.
- Vietnam's weighted average AI exposure of 3.21/10 reflects a predominantly low-to-mid exposure workforce - one of the lowest averages among the 206 countries analysed, driven by its large agricultural and elementary occupation workforce.
53 million workers, ILO ILOSTAT/GSO data
Employment data comes from ILO ILOSTAT (Creative Commons CC BY 4.0), sourced from GSO (General Statistics Office of Vietnam), using ISCO-08 one-digit major group classifications. Data year: 2023, covering approximately 53 million workers. GSO conducts quarterly Labour Force Surveys across all provinces, making it one of the most comprehensive workforce databases in Southeast Asia. Vietnam's workforce is young - median age around 30 - and increasingly urban, with major migration from rural provinces to industrial zones in the north and south.
Vietnam's economic geography matters for understanding AI disruption. The north (Hanoi, Bac Ninh, Thai Nguyen, Hai Phong) concentrates electronics and manufacturing - home to Samsung, Canon, Honda, and dozens of component manufacturers. The south (Ho Chi Minh City, Binh Duong, Dong Nai) concentrates financial services, technology services, consumer goods, and garment manufacturing. The central coast is dominated by tourism (Da Nang, Hoi An), fishing, and agriculture. These regions face very different AI disruption timelines and intensities.
The most AI-exposed jobs in Vietnam
Clerical and related workers score 8.5/10 on AI exposure - the highest in Vietnam, consistent with every other country we have analysed. Around 2.1 million workers perform data entry, banking operations, government records processing, insurance administration, and accounting support. In Vietnam's context, this category includes the back-office operations of major Vietnamese banks (Vietcombank, BIDV, VPBank, Techcombank) which are actively deploying AI for document processing and customer service.
Vietnam's fintech sector is among Southeast Asia's fastest growing, with MoMo, ZaloPay, and VNPay processing billions of transactions annually. The digitisation of payments - accelerated sharply by COVID - means that traditional bank teller and cashier roles are being compressed from both the customer-facing side (mobile apps) and the back-office side (AI document processing). The 2.1 million Vietnamese clerical workers are the most directly exposed segment of the workforce.
Professionals score 6.5/10, covering 3.8 million workers. Vietnam's IT sector employs approximately 1.2 million workers and is growing at 15-20% annually. Samsung's R&D centre in Hanoi and Intel's assembly and testing plant in Ho Chi Minh City have seeded a generation of Vietnamese engineers who are now deploying AI tools as part of daily work. Vietnamese software developers, accountants in Big Four firms, and engineers in multinational manufacturing operations all face AI augmentation of core tasks.
| Occupation Group (ISCO-08) | AI Score | Robotics Risk | Workers (2023) | % of Total |
|---|---|---|---|---|
| Clerical and related workers (4) | 8.5/10 | 2.0/10 | 2.1M | 4.0% |
| Professionals (2) | 6.5/10 | 2.0/10 | 3.8M | 7.2% |
| Technicians and associate professionals (3) | 5.5/10 | 2.5/10 | 2.9M | 5.5% |
| Service and sales workers (5) | 4.5/10 | 3.0/10 | 7.1M | 13.4% |
| Managers (1) | 4.0/10 | 1.5/10 | 1.1M | 2.1% |
| Plant and machine operators (8) | 3.5/10 | 7.5/10 | 7.2M | 13.6% |
| Craft and related trades workers (7) | 3.0/10 | 4.5/10 | 6.2M | 11.7% |
| Elementary occupations (9) | 2.0/10 | 5.0/10 | 8.5M | 16.0% |
| Skilled agricultural and fishery (6) | 2.0/10 | 3.0/10 | 14.1M | 26.6% |
Samsung Vietnam and the factory automation frontier: Samsung's four Vietnamese factories produced over 250 million smartphones in 2023, making Vietnam the source of roughly half of all Samsung phones globally. The Bac Ninh factory alone employs over 70,000 workers. Samsung has publicly committed to increasing automation in its Vietnamese operations - deploying robotic arms for assembly, AI-powered defect detection, and automated materials handling. The 7.2 million Vietnamese plant and machine operators are not primarily at risk from AI software (3.5/10) but from robotics and physical automation (7.5/10). This distinction matters enormously: the disruption timeline is different (capital investment cycles, not software deployment), but the endpoint is similar.
Vietnam's coffee, cashew, and agricultural sectors
Vietnam's 14 million agricultural workers score 2.0/10 on AI exposure - among the lowest of any occupation group globally. Vietnam is the world's largest robusta coffee exporter (around 1.7 million tonnes annually, primarily from the Central Highlands around Buon Ma Thuot), the world's largest cashew nut exporter, and a major rice, shrimp, and pangasius fish producer. These are labour-intensive sectors where AI and automation adoption is slow.
Precision agriculture tools - drone spraying, soil sensor networks, AI-powered crop monitoring - are beginning to penetrate Vietnam's coffee and rice sectors, but adoption is constrained by land fragmentation (most Vietnamese farmers work plots of 0.5-1 hectare), high upfront capital costs, and limited rural digital infrastructure. The 14 million agricultural workers face a 10-20 year disruption timeline rather than the 3-5 year window facing clerical and professional workers in cities.
Vietnam's garment sector: at the intersection of AI and reshoring: Vietnam's approximately 2.7 million garment workers (within the craft and elementary occupation categories) are affected by three converging forces: AI-driven apparel design tools, automated cutting and sewing machines, and the broader reshoring of manufacturing away from Vietnam back to nearshore locations as AI makes manufacturing less labour-dependent. Nike, Adidas, and Zara source heavily from Vietnamese factories. The garment sector pays minimum wages (around $200-250/month depending on province) - exactly the wage level where automated alternatives are becoming commercially viable.
The safest Vietnamese jobs
Agricultural and fishery workers score 2.0/10 on AI exposure, covering 14 million workers - Vietnam's single largest occupation group. Elementary occupations (construction labourers, street vendors, domestic workers, waste collection) score 2.0/10 on AI exposure, covering 8.5 million workers. Craft and related trades workers score 3.0/10 on AI exposure, covering 6.2 million workers including carpenters, electricians, plumbers, and traditional craft workers in ceramics, lacquerware, and silk - exported products that face no immediate AI disruption.
What this means for Vietnamese workers
For clerical workers in Vietnamese banks, government ministries, and insurance companies - the 2.1 million workers scoring 8.5/10 - AI automation of routine document processing and data entry is underway now. Vietnam's Ministry of Information and Communications has a national AI strategy that explicitly targets administrative process automation. The Hanoi and Ho Chi Minh City municipal governments have AI-powered document processing pilots that are compressing clerical workforces in government agencies.
For IT professionals and engineers - 3.8 million workers scoring 6.5/10 - AI augmentation is creating productivity gains while simultaneously raising the bar for entry-level positions. Vietnamese software companies like FPT Software (140,000+ employees) are deploying AI coding tools across their workforce, which changes the mix of skills needed but does not yet reduce headcount. Vietnam's tech labour market is so supply-constrained that AI augmentation is adding capacity without displacement at current growth rates.
For the 7.2 million factory workers in electronics manufacturing - scoring 7.5/10 on robotics risk - the disruption is structural but gradual. Samsung and Intel are automating, but Vietnam's wage advantage (still 40-60% below Chinese manufacturing wages in comparable roles) means full automation ROI timelines are 5-10 years. Workers in the least-skilled assembly and packing roles face the soonest displacement; skilled technicians maintaining and programming automation systems face rising demand.
See Vietnam's full occupation breakdown
Explore AI exposure, robotics risk, and employment data for all Vietnamese occupation groups - or compare against 205 other countries.
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Methodology
Employment figures are from ILO ILOSTAT (CC BY 4.0), sourced from GSO (General Statistics Office of Vietnam) Labour Force Survey, using ISCO-08 one-digit major group classifications. Data year: 2023, covering approximately 53 million workers. AI exposure scores are research-based estimates per ISCO-08 group, informed by Frey-Osborne (Oxford), OECD, and IMF studies on task-level automation. They reflect the proportion of an occupation's core tasks that current AI can perform or significantly augment - not predictions of job loss rates. Robotics risk scores are separately assessed and reflect physical automation risk distinct from AI software automation.
Frequently asked questions
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Related analyses
Data sources
- ILO ILOSTAT - Employed persons by sex, occupation (ISCO-08), Vietnam 2023 (CC BY 4.0)
- GSO - General Statistics Office of Vietnam - Labour Force Survey 2023
- Frey, C.B. and Osborne, M.A. (2017). The future of employment. Technological Forecasting and Social Change.
- IMF - Gen-AI: Artificial Intelligence and the Future of Work (2024)
- OECD - Automation, skills use and training (2018)