Will AI Replace Customer Service Jobs in Viet Nam? Here’s What to Do in 2025
Last Updated: September 14th 2025

Too Long; Didn't Read:
By 2025 AI will reshape, not replace, customer service in Việt Nam: AI market USD 753.4M (2024), World AI Index rank 6th, GenAI startups 2nd in SEA (~27%). Bots handle routine; humans manage ~10% complex cases. ~80% leaders prioritise AI skills; talent shortfall 150–200k.
Vietnam's 2025 AI surge means customer service roles are shifting fast, not disappearing overnight: the country ranks 6th on the World AI Index and enterprises report rapid AI adoption, with many firms already rolling out chatbots and digital labour plans that free agents from repetitive tasks so they can handle complex, empathetic cases instead (Invest Vietnam: State of AI in Vietnam 2025).
Local startup momentum - Vietnam is second in SEA for GenAI startups - means more tailored Vietnamese‑language tools are arriving, but a tight talent pool and fragmented data systems slow full automation (Vietcetera report: Vietnam's GenAI startups surge to second in Southeast Asia).
The practical takeaway for leaders and agents in 2025: combine AI with human upskilling now; short, targeted courses such as Nucamp AI Essentials for Work bootcamp - practical AI skills for the workplace can equip agents to use AI tools and write effective prompts to boost productivity, turning disruption into opportunity with real skills, not wishful thinking.
Metric | Value (2025) |
---|---|
World AI Index rank | 6th |
Vietnam AI market (2024) | USD 753.4M |
GenAI startup share in SEA | 2nd (≈27%) |
“We shouldn't just be end-users of foreign technologies, we should create our own, by Vietnamese, for Vietnamese,” he said.
Table of Contents
- How AI Is Changing Contact Centers in Viet Nam
- 2025 Job Outlook for Customer Service Roles in Viet Nam
- Regulation, National Strategy and Data Infrastructure in Viet Nam
- Top Business Actions to Take in Viet Nam in 2025
- Role-Specific Training and Reskilling Strategies for Viet Nam
- Implementation Best Practices for Customer Service AI in Viet Nam
- Risks to Manage in Viet Nam and How to Mitigate Them
- Pilot Checklist and KPIs for Viet Nam Contact Centers
- Local Case Studies and Examples from Viet Nam (2024–2025)
- Conclusion and Next Steps for Leaders and Agents in Viet Nam
- Frequently Asked Questions
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How AI Is Changing Contact Centers in Viet Nam
(Up)Contact centers across Viet Nam are shifting from bulky IVRs to nimble, Vietnamese‑ready AI that understands local phrasing, plugs into Zalo and Facebook, and hands routine work to bots so humans can focus on exceptions; homegrown platforms like Viettel AI and FPT.AI lead this movement with strong Vietnamese NLP and easy integrations (Overview of Viettel AI, FPT.AI and Vietnamese chatbot platforms).
The new playbook mixes chatbots, voicebots and agent‑assist tools: voice AI can run 24/7, take payments, and even resolve simple tickets so agents avoid repetitive churn, while real‑time agent assist and speech analytics surface the right answers at the right moment - some vendors report voicebots containing up to 40% of incoming calls before escalation (XCALLY analysis of AI voicebots and call containment in contact centers).
For Vietnamese businesses the practical win is concrete: faster first‑contact resolutions, fewer peaks that require mass hiring, and a smoother omnichannel experience - picture a midnight surge of Zalo messages routed and sorted by bots while skilled agents handle the 10% of calls that truly need human judgment.
2025 Job Outlook for Customer Service Roles in Viet Nam
(Up)The 2025 job outlook for customer service in Việt Nam is less
AI replaces everyone
and more
AI reshapes careers
: chatbots and voicebots are taking routine queries so frontline agents will increasingly need empathy, judgement and technical savvy to manage escalations and cross‑system tasks - imagine bots sorting a midnight Zalo surge while skilled agents handle the 10% of cases that require human judgment.
Employers are already responding: nearly 80% of Vietnamese business leaders now prioritise AI skills when hiring and a large share plan to add AI‑specific roles within 12–18 months, so demand will rise for prompt‑writing, agent‑assist fluency and systems integration know‑how (see the Invest Vietnam national AI outlook and labor metrics and the call to upscale in the AIFVN upskilling briefing).
The tight talent pool and projected shortfalls mean wage pressure for specialist roles but also clear upskilling opportunities for contact‑centre staff who can move from repetitive ticket handling to technical‑customer liaison and supervision of AI workflows.
Indicator | 2025 Snapshot |
---|---|
Total tech/IT workforce | >560,000 |
Annual IT graduates | 55–60k |
Projected IT/AI talent shortfall | 150k–200k |
Leaders prioritising AI skills | ~80% (AIFVN); 91% planning AI hires (Invest Vietnam) |
Regulation, National Strategy and Data Infrastructure in Viet Nam
(Up)Vietnam's 2025 policy landscape makes clear that AI for customer service won't be left to market forces alone: the 2021 National Strategy on R&D and Application of AI to 2030, reinforced by Resolution 57, pushes an “adaptive” path that pairs industry incentives with guardrails - think preferential tax breaks and a 150% R&D expense deduction alongside rules that ban harmful AI uses and require clear labeling of AI‑generated outputs (see the detailed policy roundup at Vietnam Briefing: Vietnam AI sector 2025 regulatory frameworks and opportunities for investors).
New instruments already on the table - the Draft Law on Digital Technology Industry with a two‑year regulatory sandbox and the Draft Personal Data Protection Law slated for final review in May 2025 - signal a pragmatic approach: enable fast pilots (a chatbot can be trialed under oversight for up to two years), while tightening data rights and interoperability so Vietnamese language models and contact‑center datasets can be built locally without leaking sovereignty.
Complementary moves - Decree No.13/2023 and MoST's nine principles on responsible AI - align privacy and ethics with global norms, but the persistent gap is infrastructure: without linked, high‑quality Vietnamese datasets and clear data governance, automation gains will lag.
Leaders should watch the drafts closely and plan for sandboxed pilots that protect customers and preserve Vietnamese control over core AI assets (see government overview at MIC: Vietnam AI strategy March 2025 overview).
Document | Key point / Status (from research) |
---|---|
Decision No.127/QĐ‑TTg (2021) | National AI Strategy to 2030 - phased R&D → application |
Decree No.13/2023 | Aligns AI/data rules with global privacy standards (effective July 2023) |
Decision No.1290/QĐ‑BKHCN (Jun 2024) | Nine principles for responsible AI (transparency, safety, privacy) |
Draft Digital Technology Industry Law | Includes incentives, prohibited AI practices, and a 2‑year regulatory sandbox |
Draft Personal Data Protection Law | Final review May 2025; enactment expected Oct 2025 - strengthens data subject rights |
“If Vietnam does not take control of its core AI technologies, it risks becoming a digital colony, dependent on foreign innovations,” he warned.
Top Business Actions to Take in Viet Nam in 2025
(Up)Practical steps for Vietnamese leaders in 2025 start with triage: audit which touchpoints are routine and outsource or automate them through vetted partners so in‑house teams focus on empathy and escalations - see a step‑by‑step call center outsourcing guide for phased rollouts, SLAs, and pilots; next, lock in infrastructure by planning for hybrid cloud and local data capacity (Vietnam's data‑centre market is expanding fast) so AI pilots don't stall for lack of GPUs or compliant hosting (Vietnam data center market brief (2024)); third, match service redesign to consumer reality - mobile‑first, social commerce and regional nuances mean omnichannel scripts, Vietnamese‑language AI and surge plans for Tet or flash sales must be ready (Vietnam consumer preferences and trends 2025).
Pair these moves with short, role‑specific upskilling for prompt engineering and agent‑assist tools, run sandboxed pilots to satisfy regulators, and treat peak nights like a midnight Zalo deluge: bots sort the volume, humans resolve the 10% that matter most.
Metric | Value / Source |
---|---|
E‑commerce market (2025) | ≈ USD 24B - Invest Vietnam consumer trends |
Internet penetration (2025) | ~78% nationwide - Digital strategy outlook |
Data center market (2024) | USD 1.57B (2024) - Vietnam data center market report |
Role-Specific Training and Reskilling Strategies for Viet Nam
(Up)Role-specific training in Việt Nam should be pragmatic, short, and tied to real workflows: frontline agents need hands‑on modules that teach prompt‑writing, agent‑assist tools and customer empathy so routine tickets move from “hours to minutes” (the promise of corporate programs like AI‑First Mindset AI training program in Vietnam), team leads benefit from executive courses that translate AI outputs into better routing, forecasts and human decisions (see VinXceed's Mastering AI‑Driven Decision Making course), and engineers & data owners must train on local data practices and model integration so Vietnamese language models serve customers without leaking sovereignty - a national push like the newly launched Vietnam AI Academy program shows how government, industry and universities can scale technical pipelines.
Mix short workshops, on‑the‑job micro‑projects and sandboxed pilots: the vivid payoff is immediate - fewer escalations, faster resolutions and measurable time saved that turns training budgets into operational savings.
Implementation Best Practices for Customer Service AI in Viet Nam
(Up)Operationalise customer‑service AI in Việt Nam by measuring what matters: keep core KPIs (CSAT, FCR, AHT, service level and abandonment) but layer in AI‑era signals - AI resolution rate, intents‑per‑contact and sentiment‑shift - so a rising AHT can be read as success (complex, multi‑intent work) rather than failure; this blended view is the practical recommendation from benchmarking and AI‑strategy playbooks (Convin contact center benchmark report, Forethought customer service KPI guide).
Instrument real‑time agent assist and automated QA to surface coaching opportunities and reduce wrap‑up time, and publish dashboards that track service level, FRT and call containment so leaders can spot a failing IVR or a spike in abandoned calls before customers complain (Zendesk call center metrics guide).
Start small with sandboxed pilots, iterate fast, and tie every AI change to a clear KPI delta -
“bots sort the midnight Zalo deluge while humans resolve the 10% that need judgement”
then scale what improves CSAT and lowers repeat calls.
Continuous measurement, role‑specific coaching, and a dashboard that blends traditional and AI metrics turn pilots into repeatable wins.
KPI | Why track it (AI lens) |
---|---|
CSAT | Quality check on customer experience after AI changes |
FCR / First Contact Resolution | Shows whether AI + agents actually close problems in one interaction |
AHT (and AHT per intent) | Balance speed with complexity; use AHT per intent to interpret longer calls |
Service Level / Abandonment | Operational health - detect wait‑time spikes and infrastructure issues |
AI resolution rate / Intents per contact | AI containment and multi‑intent efficiency (new AI‑era measures) |
Sentiment shift | Detect experience friction that FCR alone can miss |
Risks to Manage in Viet Nam and How to Mitigate Them
(Up)Vietnam's AI transition is promising but risky if left unmanaged: automation can “outprice” lower‑paid skilled and semi‑skilled workers, driving real displacement in services and back‑office roles and raising the spectre of higher unemployment for unskilled workers unless reskilling is scaled fast (see the warning in Vietnam News on job displacement); at the same time, a projected AI talent shortfall and rapid salary inflation for scarce specialists will squeeze budgets and leave SMEs behind unless leaders act strategically.
Mitigations are straightforward and practical: treat reskilling as an employer‑led duty (Economist Impact finds employees expect firms to guide and fund upskilling), run regulator‑friendly sandbox pilots to test containment and privacy, and invest in unified data governance so local Vietnamese models feed on sovereign, high‑quality datasets rather than fragmented silos (Invest Vietnam's 2025 review flags data and talent as top constraints).
Protecting communities means pairing short, work‑integrated training with social safety nets, prioritising rural and SME access, and tying incentives to local hiring and data‑localisation - so when the next midnight Zalo deluge hits, bots contain volume while newly trained agents handle the human 10% with higher pay and better careers instead of being washed out by automation.
Risk / Indicator | 2025 Snapshot (source) |
---|---|
Projected AI/IT talent shortfall | 150k–200k (Invest Vietnam) |
Average monthly pay (2025) | ~VND 8.3 million (Vietnam Briefing) |
Unskilled worker exposure | Rising unemployment risk amid automation (VietnamNet) |
“Problem solving and algorithmic thinking are becoming even more important because AI can help to code but programmers need the analytical skills such as how to approach an issue, analyse a problem and design what to code.”
Pilot Checklist and KPIs for Viet Nam Contact Centers
(Up)Treat your first AI pilot like a line‑training flight: use a short, repeatable checklist so nothing critical is missed - know your “report centre” (live dashboards and routing tables), be time‑aware for SLAs and handovers, pack a flight‑bag of essentials (logins, headset, secure credentials and a notepad for feedback), learn your SOPs and escalation manuals, map channels like Zalo and Facebook as you would know each airport, rehearse standard replies and PAs, run phase checklists for shift start/peak surge and log every incident for post‑pilot review (inspired by classic line‑training guidance at VietPilotJob: Preparing for Line Training).
Pair that checklist with a tight KPI set: CSAT, FCR, AHT per intent, AI containment rate and sentiment‑shift; treat slower AHT as a win when it reflects multi‑intent, higher‑value work.
Before launch, confirm travel‑style housekeeping - data access, SIM/connection checks and local compliance - using a travel/checklist mindset (see the Complete Vietnam Travel Checklist) and include role‑specific prompts and in‑ticket tools so agents can act, not just read, during the midnight Zalo deluge (see Nucamp's Customer Reply Generator for in‑ticket speedups).
Pilot checklist item | Contact‑center pilot equivalent |
---|---|
Know report centre | Live dashboards & routing |
Be time aware | SLAs, handover timings |
Flight bag checklist | Logins, headset, credentials, notepad |
Get to know manuals | SOPs, escalation playbooks |
Flight phase checklists | Shift start, peak surge, wrap‑up |
“For some pilots, a good-luck charm is standard equipment.”
Local Case Studies and Examples from Viet Nam (2024–2025)
(Up)Local case studies from 2024–2025 show a pragmatic, Vietnamese‑flavoured pivot: rather than wholesale layoffs, firms stitch together voice IVR, SMS and in‑ticket automations so bots handle routine bookings and confirmations while humans step in for nuance - picture a midnight Zalo deluge where automated IVRs and SMS nudges contain the bulk and trained agents take the human 10% (a common pattern across vendor case notes).
Regional vendors and global platforms illustrate the playbook: Emitrr's examples of AI IVR, script‑to‑voice and SMS agents highlight how appointment handling, missed‑call‑to‑text and automated summaries cut churn and speed follow‑up (see Emitrr's breakdown of IVR and SMS use cases), while enterprise voice work from Speechmatics shows the same voice‑AI levers deliver fast ROI and sub‑second latency for real‑time agent assist.
Practical takeaways for Vietnamese leaders: pilot conversational IVR + SMS first, reuse in‑ticket automations like Gorgias for Shopify merchants, and lock training to role‑specific micro‑projects so agents become AI supervisors, not casualties - a small, measured rollout wins more than big bets.
“bots sort the midnight Zalo deluge while humans resolve the 10% that need judgement”
Conclusion and Next Steps for Leaders and Agents in Viet Nam
(Up)Conclusion - pragmatic, urgent, and local: Vietnamese leaders should treat 2025 as the year to lock in hybrid-friendly policies, run regulator‑aware AI pilots, and invest in short, work‑integrated upskilling so agents move from routine ticketing to high‑value, empathetic problem‑solving; hybrid models are already mainstream (workers and customers expect flexibility), so pair those policies with secure infrastructure and clear outcome KPIs rather than proximity mandates (see the hybrid culture briefing for SEA and VN at PixiTech briefing on hybrid working culture in Southeast Asia and Vietnam).
Practical next steps: run a two‑quarter sandboxed pilot for Vietnamese‑language chat + voice assist, instrument CSAT/FCR plus AI containment metrics, fund role‑specific prompt‑writing and agent‑assist modules, and harden cyber controls before scaling (Cisco's Vietnam hybrid study highlights security and readiness as critical).
For workforce mobility, align hiring and reskilling to a 2025 job market that prizes IT, data and AI tool fluency - short bootcamps work best in fast cycles, for example Nucamp AI Essentials for Work bootcamp, which teaches promptcraft and practical AI at work.
Act now: pilots, measurement, and focused training will turn automation risk into career ladders and better customer outcomes.
Metric | 2025 Snapshot (source) |
---|---|
Employees wanting hybrid | ~76% (Cisco Vietnam) |
Productivity reported improved | ~67% (Cisco Vietnam) |
E‑commerce market size | ≈ USD 24B (Invest Vietnam) |
“2025 will present numerous opportunities for workers as Việt Nam continues to be a magnet for foreign investment in the region and globally,”
Frequently Asked Questions
(Up)Will AI replace customer service jobs in Viet Nam in 2025?
Not wholesale. In 2025 AI is reshaping roles rather than eliminating them overnight: Vietnam ranks 6th on the World AI Index and its AI market (2024) was about USD 753.4M, with strong local GenAI startup momentum (2nd in SEA, ~27%). Chatbots and voicebots will automate routine queries (some voicebots already contain up to ~40% of incoming calls before escalation), while humans take on the complex, empathetic 10% of cases that need judgement. The practical outcome: fewer repetitive tasks, more demand for empathy, judgement and AI-tool fluency - provided firms invest in training and pilots.
Which customer service skills and roles will be most in demand?
Demand will grow for prompt‑writing, agent‑assist fluency, systems integration, technical‑customer liaison and supervision of AI workflows. Indicators: a tech/IT workforce >560,000, 55–60k annual IT graduates, but a projected AI/IT talent shortfall of 150k–200k. Employers are prioritising AI skills (~80%) and many plan AI hires (≈91%), so specialists will see wage pressure while upskilled agents can move into higher‑value roles.
What should contact‑centre leaders and agents do now to prepare for AI?
Take pragmatic, immediate steps: 1) audit touchpoints and automate routine queries with vetted partners so agents focus on escalations; 2) run sandboxed pilots (Vietnam's Draft Digital Technology Industry Law includes a two‑year regulatory sandbox) and tie pilots to clear KPIs; 3) secure hybrid cloud and local data capacity (data‑centre market expanding) and implement unified data governance to protect sovereignty; 4) invest in short, role‑specific upskilling (promptcraft, agent‑assist tools, empathy modules) to convert disruption into career ladders.
How should pilots be run and what KPIs prove success?
Treat pilots like line training: confirm your "report centre" (live dashboards & routing), SLAs, logins/credentials, SOPs and surge phase checklists. Start small, iterate fast and measure blended KPIs: traditional metrics (CSAT, FCR, AHT, service level/abandonment) plus AI‑era signals (AI resolution/containment rate, intents‑per‑contact, sentiment‑shift, AHT per intent). Tie every change to a KPI delta so slower AHT that reflects higher‑value, multi‑intent work is interpreted as success, not failure.
What are the main risks for Viet Nam and how can they be mitigated?
Key risks: displacement of lower‑skilled workers, a persistent AI/IT talent shortfall, fragmented data systems, and over‑dependence on foreign tech. Mitigations: employer‑led, work‑integrated reskilling and short bootcamps; regulator‑aware sandbox pilots to test privacy and containment; invest in unified, local data governance and incentives for Vietnamese language models; pair training with social safety nets and SME access so automation raises wages/careers rather than causes mass job loss. Follow national policy signals (National AI Strategy, Decree No.13/2023, Draft Personal Data Protection Law) when designing programs.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible