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

Vietnam's real estate sector is entering a fast, tech-driven era: proptech surged into prominence with roughly 140 startups by 2021 and AI is now embedded in virtual tours, predictive valuation and automated property management, reshaping roles that handle listings, paperwork and routine analysis (Proptech in Vietnam - Vietnam Briefing analysis).

At the same time the national AI market is growing rapidly (valued at about USD 753.4M in 2024), meaning routine back-office and transaction jobs face automation pressure while new data-skilled roles appear.

For professionals and firms in Việt Nam the practical response is reskilling: short, applied programs such as the AI Essentials for Work bootcamp (Nucamp) teach prompt-writing and business use cases so teams can pivot from repetitive tasks to higher-value, AI-augmented services - imagine transaction coordinators become workflow designers rather than form-fillers.

“Vietnam is an attractive proposition not just for seasoned investors, entrepreneurs, and factory owners seeking to diversify their investments and businesses into other countries, but also buyers looking for holiday homes and prestige seekers who are eyeing luxury properties,” - Winston Lee, PropertyGuru's Director of Special Projects.

Selection combined Vietnam-specific signals, practical task analysis, and industry-readiness metrics: roles were flagged where AI/proptech already automates structured, repeatable work (machine-learning valuations, virtual tours and AVMs noted in industry coverage), where buyers and developers routinely consult generative tools, and where national AI momentum makes automation near-term rather than hypothetical.

To do this, the team cross-checked on-the-ground adoption (buyers using phone AI at launches and researchers saying

tasks that once took several days…can now be done in five minutes

) with market and policy indicators - fast-growing AI market size, 5G and cloud rollouts, and regulatory pushes to standardise data - then mapped those signals to job duties that are high-volume, rule-based and data-rich (paperwork, title checks, routine underwriting, telemarketing lists, junior market reports).

The result: jobs that score high on

routine + data + existing AI tools

were prioritised for the Top 5 list, while roles scoring high on judgment, relationship management or complex legal work were deprioritised.

For more on local adoption and technology trends, see reporting on smart tools in Vietnam and wider sector analysis.

“In 2024, I used an AI app for the first time to assess a real estate project … it provided me with high-quality advice and after a year, I earned a decent return.” - buyer quoted in OpenGovAsia

Transaction managers and transaction coordinators in Việt Nam are squarely in the automation crosshairs because their work is precisely the kind RPA and AI do best: repetitive, document‑heavy and rules‑driven - think deadline tracking, signature chasing, data entry and cross‑checking titles.

Global trend reports show digital TCs now handle most coordination online and that agents using coordinators save roughly 10–20 hours per transaction and close more deals, so brokers are already buying automation to scale (see AgentUp 2025 transaction coordination trends report).

Tools described by ReBillion and RPA analysts automate PDF extraction, CRM updates, reminders and routine approvals, while local deployments can use Vietnamese OCR tuned for land‑use certificates and household books to cut processing time and errors (Vietnamese OCR for mortgage and document automation); the durable implication is clear: coordinators must evolve into workflow designers, compliance overseers and client‑experience specialists who supervise AI, rather than simply doing the manual work machines now handle.

“These days, RPA is doing far more than just automating repetitive tasks. With AI, ML, and advanced analytics, automation is learning and adapting on the go. That means fewer manual headaches, smoother workflows, and better collaboration between people and digital workers. I'm sure that companies that embrace this shift will lead the way in a world where automation and data rule.” - Dmitry Nazarevich

Data-entry and administrative staff - including title clerks - are the clearest short‑term casualties of Vietnam's automation wave because their day is built from the very tasks AI and RPA do best: repetitive extraction, validation and cross‑checking of documents.

Tools already in use can OCR land‑use certificates and household books, auto‑fill CRMs and reconcile records so that what once took teams hours or days becomes a few clicks; imagine a pile of certificates that used to monopolise an entire desk parsed into a searchable index in minutes with Vietnamese‑tuned OCR (Vietnamese OCR for mortgage and document automation).

Firms that adopt robotic process automation are already reassigning people to oversight, exception handling and data‑governance roles rather than raw keying, as RPA case studies show real gains in speed and accuracy when bots replace manual entry (RPA for real‑estate back‑office automation).

With the government moving toward a digital real‑estate transaction centre, administrative staff who can validate AI outputs, manage standardized data feeds and translate messy legal records into audit‑ready formats will be the ones whose jobs persist - and become higher‑value.

“In 2024, I used an AI app for the first time to assess a real estate project … it provided me with high-quality advice and after a year, I earned a decent return.” - buyer quoted in OpenGovAsia

Mortgage processors and routine underwriters in Việt Nam are squarely in the path of practical automation: modern automated underwriting platforms can cut approvals

from days to hours

while keeping accuracy, giving lenders a speed edge that often determines who wins a commercial deal (Blooma automated underwriting comparison and efficiency).

Locally, the biggest unlock is document automation - Vietnamese‑tuned OCR that parses land‑use certificates and household books turns a banker's desk piled high with paper into a searchable applicant profile in minutes (Vietnamese OCR mortgage and document automation use cases).

Advanced agentic workflows (supervisor + sub‑agents) can extract, validate and run compliance checks end‑to‑end, flagging only complex, judgmental cases for human review so underwriters focus on exceptions, portfolio monitoring and relationship work (AWS agentic mortgage processing with Bedrock and data automation).

The net effect for VN lenders: faster closes, lower back‑office cost, and a shift in roles from data keying to exception handling and risk oversight - picture a week's worth of paperwork becoming an instant, auditable loan dossier.

Lead-generation teams and outbound telemarketers in Việt Nam are among the most exposed to AI because the core task - answering, qualifying and scheduling hundreds of calls - is exactly what conversational AI, IVR and virtual agents now automate; instead of a morning shift of dialers, imagine a multilingual virtual agent answering investor inquiries from Singapore or Australia at 2 a.m., qualifying interest and booking viewings into an agent's calendar.

Local firms can combine global lead‑gen platforms with Vietnamese‑tuned chatbots and IVR to handle first contact and multilingual follow‑ups (see practical AI tool reviews for agents in 2025 at APPWRK), while Nucamp‑highlighted multilingual chatbots let teams serve international buyers instantly.

The business case is clear from vendor data: automated virtual agents boost qualified leads and appointment rates, cut manual follow‑up and free agents to do high‑value closing work - so dialer headcount must pivot to AI supervision, script design and relationship selling rather than pure outbound calling.

For brokerages in VN, the smart move is rapid retooling: keep the human touch where it matters and let tested AI systems do the always‑on capture and qualification work.

Routine property analysts and junior market‑researchers in Việt Nam face swift disruption because the very tasks they do - collecting comps, scraping public records, building initial underwriting decks - are precisely what AI and AVMs excel at: Morgan Stanley's industry analysis finds roughly 37% of real‑estate tasks are automatable and sees large productivity gains ahead (Morgan Stanley AI in Real Estate 2025 report).

Early adopters in commercial markets are already getting 90% of a finished deal deck in hours rather than days, which raises the hiring bar and squeezes entry‑level roles unless those roles shift to interpreting models, vetting data quality and telling the story behind the numbers - not just compiling them (see reporting on changing analyst expectations in CRE hiring, and what firms now expect) (Bisnow: AI rush reshapes CRE analyst expectations).

In Việt Nam the outcome is already visible: AI‑powered property search and hyperlocal models are cutting time‑to‑match in places such as Di An, Thu Duc and Vung Tau, so the durable advantage will belong to analysts who pair local market judgement and data governance with prompt‑engineering and narrative skills - imagine turning a week of spreadsheet drudgery into one sharp insight that wins a client.

For practical guidance on local tooling and use cases, see the Nucamp AI Essentials for Work syllabus and guide to AI‑powered property search in Việt Nam (Nucamp AI Essentials for Work syllabus).

“AI is clearing the noise, allowing analysts to ask better questions, not just answer them faster.” - Steven Song

The clear next steps for Việt Nam's real‑estate workforce are practical and immediate: firms should run small pilots that deploy Vietnamese‑tuned AI agents to qualify leads and automate document extraction, regulators and industry groups must prioritise data standards and privacy oversight, and professionals need prompt‑engineering and AI‑supervision skills so routine tasks become supervision, exception handling and storytelling work.

Start with tools that prove ROI - AI agents that can

qualify leads 24/7

and book viewings streamline front‑line capture (see a practical AI agent playbook at GPTBots) - then scale into Vietnamese OCR and multilingual chatbots to serve cross‑border buyers.

Training is the bridge: short, applied courses that teach prompt writing, agent workflows and validation are what turn displaced roles into higher‑value jobs; for example the AI Essentials for Work bootcamp teaches prompt skills and job‑based AI workflows and is designed to get teams productive in 15 weeks.

Policymakers should match pilots with clear audit trails and compliance checks so automation raises productivity without sacrificing trust - picture a morning dashboard showing dozens of vetted prospects instead of a desk buried in paperwork.