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

By Ludo Fourrage

Last Updated: September 6th 2025

Chilean real estate professionals adapting to AI: laptops, virtual tours, documents and a skyline of Santiago

Too Long; Didn't Read:

Chile's real estate roles most exposed to AI: transaction coordinators, junior market‑research/valuation assistants, leasing agents, marketing content creators, and bookkeepers. Global AI-in-real-estate market ~$301.6B (2025) → $975B (2029); Chile generative-AI ≈ US$459.2M by 2030. Reskill with a 15‑week AI Essentials course.

Chile's real estate market is confronting a fast-moving AI wave in 2025: global reports put the AI-in-real-estate sector at roughly $301.6B in 2025 with forecasts pushing toward about $975B by 2029, driven by tools from predictive pricing to automated listings (Global AI in Real Estate Market Report (2025 forecast)); locally, generative-AI adoption is projected to climb sharply (Chile's generative AI market outlook estimates growth toward roughly US$459.2M by 2030), creating both efficiency gains and role risk (Chile Generative AI Market Outlook (2030 projection)).

Latin America's large informal economy may slow immediate job churn, but the winners will be teams that pair human judgment with AI tools - for example, agents who use AI to auto-generate dozens of localized listings while they close a weekend sale.

Practical reskilling matters: Nucamp's 15-week AI Essentials for Work course teaches prompt writing and workplace AI skills to help real estate professionals adapt (AI Essentials for Work syllabus - Nucamp 15-week course).

Bootcamp Length Early-bird Cost Link
AI Essentials for Work 15 Weeks $3,582 AI Essentials for Work syllabus - Nucamp

Table of Contents

  • Methodology: Sources and how we identified risk (Gabriel Weintraub, Colliers, Central Bank, Gallagher)
  • Transaction Coordinators / Real Estate Administrative Assistants - Risks and adaptation (Transaction Coordinators)
  • Junior Market Research Analysts / Valuation Assistants - Risks and adaptation (Junior Market Research Analysts)
  • Leasing Agents & Basic Rental Customer-Service Roles - Risks and adaptation (Leasing Agents)
  • Real Estate Marketing Content Creators / Listing Copywriters / Junior Editors - Risks and adaptation (Marketing Content Creators)
  • Bookkeepers / Entry-Level Accounting Staff in Real Estate Firms - Risks and adaptation (Bookkeepers)
  • Conclusion: How Chilean real estate professionals can adapt (Gallagher, Weintraub recommendations)
  • Frequently Asked Questions

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Methodology: Sources and how we identified risk (Gabriel Weintraub, Colliers, Central Bank, Gallagher)

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The methodology behind this risk assessment follows a task‑level approach rooted in Gabriel Weintraub's Chile study, which decomposed the 100 most common occupations into over 200,000 tasks using Workhelix data and scored each task for the potential of Generative AI to cut execution time by at least 50% - then aggregated those task scores into job‑ and sector‑level “acceleration” measures (Task-level AI acceleration study in Chile - Weintraub et al. (SSRN)).

To translate those diagnostics into real‑estate realities, industry syntheses on how text and image models transform marketing, valuation and operations helped map which specific role‑types (heavy on data entry, listing copy, image editing, or routine tenant communication) face the greatest near‑term exposure (Metaprop analysis of generative AI's impact on real estate marketing and operations).

Prioritization mirrors the study's weighting by hours spent on each task, so roles dominated by repeatable text/image workflows surface as high risk while relationship‑and‑judgment roles appear more likely to be augmented than replaced - a vivid reminder that the unit of analysis is not the job title but the daily task that can be automated or accelerated.

SourceKey structured datapoints
Weintraub et al. (SSRN / Stanford)100 occupations (≈5.69M workers), >200,000 tasks, task acceleration metric (≥50%)

The results reveal the immense potential of Generative AI to enhance efficiency, productivity, and job quality in Chile.

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Transaction Coordinators / Real Estate Administrative Assistants - Risks and adaptation (Transaction Coordinators)

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Transaction coordinators - the deadline bodyguards of every closing - are squarely in AI's crosshairs: routine contract checks, signature verification and calendar policing are already being sped up by tools that scan clauses, flag missing initials, and push automated reminders, but Chilean teams should treat automation as augmentation, not replacement.

Tools and checklists reduce human error and free agents to sell, yet vendors and industry posts warn that AI still hallucinates, misreads nuance, and can't fully replace the judgment needed when one missed signature or an overlooked contingency can sink a deal; practical adaptation looks like adopting secure transaction management platforms, AI‑assisted contract review and deadline automation while keeping a human verifier on every file (see ListedKit's tips on AI contract review and CRES's roundup of transaction management software).

For Chile-specific playbooks, combine these workflows with local listing SEO and prompts (e.g., Las Condes keywords) to protect value while speeding operations.

ServiceStarting priceSource
Transaction Coordinationfrom $349 / monthAgentUp guide on AI real estate transaction coordination
Listing Coordinationfrom $200 / listingAgentUp guide on AI real estate transaction coordination

"The potential for AI to replace transaction coordinators in real estate is a topic of ongoing discussion, but complete replacement is unlikely in the near future. Real estate transactions involve complex negotiations and human judgment, which AI currently cannot fully replicate. While AI can automate certain tasks, the evolution towards AI replacing transaction coordinators will be gradual as technology advances and industry dynamics evolve."

Junior Market Research Analysts / Valuation Assistants - Risks and adaptation (Junior Market Research Analysts)

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Junior market‑research analysts and valuation assistants in Chile face pronounced exposure because their work - cleaning comparable‑sale datasets, compiling precio por m2 comparisons, and producing routine valuation notes - is precisely the sort of repeatable, data‑heavy task that automation can accelerate, a trend that COVID‑19 has helped catalyze across Chilean firms (see evidence in the Chile study on pandemic‑driven digital transformation).

The risk is uneven across regions and income brackets, so teams in Santiago or Antofagasta should not assume uniform impact; instead, adaptation pays: retooling these roles around AI‑assisted pipelines that auto‑prep datasets and surface anomalies, while keeping human judgment for final valuation calls, preserves professional value.

Practical steps include using locality‑aware prompts and SEO tactics to enrich listings and comparables (for example, tuned prompts for Las Condes precio por m2), building transparent model documentation and compliance practices under Chilean regulation, and following a measured adoption roadmap that pilots tools, measures ROI, and scales responsibly - turning a high‑risk job into a higher‑value analyst role with better insights and faster turnarounds.

Chile COVID‑19 impact on automation and labor markets (Columbia Global Centers), SEO‑optimized real estate listings and locality‑aware AI prompts for Chile, Algorithmic transparency and Chilean regulation strategies for real estate AI.

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And learn about Nucamp's Bootcamps and why aspiring developers choose us.

Leasing Agents & Basic Rental Customer-Service Roles - Risks and adaptation (Leasing Agents)

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Leasing agents and frontline rental customer‑service teams in Chile are squarely in AI's sights because so much of their day - tenant inquiries, tour scheduling, renewal reminders and basic vetting - matches what voicebots and virtual contact centers do best: 24/7, multilingual touchpoints, fast pre‑qualification and automated follow‑ups that catch renewals 60–90 days before expiry (reducing missed opportunities and churn) (AI-powered lease renewal automation (Convin)); at scale this looks like AI handling routine calls and reminders while human agents focus on negotiations, showings and complex exceptions.

Practical adaptation in Chile means combining a cloud contact‑center approach (omnichannel routing, AI agent‑assist and centralized dashboards) with locality‑aware prompts and SEO for neighborhoods like Las Condes so listings surface to the right renters (SEO-optimized real estate listings for Las Condes, Santiago) and building oversight - audit trails, quality checks and escalation rules - so AI automates routine work without eroding tenant trust (virtual contact center solutions for property management (Sprinklr)).

The smart play for Chilean teams is to train agents to orchestrate AI agents, not compete with them - freeing humans for the high‑touch conversations that still win leases while machines clear the inbox and keep renewals on track.

“AI agents are set to revolutionize the workforce, blending human creativity with machine efficiency to unlock unprecedented levels of productivity and innovation.” - Anthony Abbatiello, PwC Workforce Transformation Practice Leader

Real Estate Marketing Content Creators / Listing Copywriters / Junior Editors - Risks and adaptation (Marketing Content Creators)

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Listing copywriters, junior editors and marketing content creators are among the most exposed roles because their day‑to‑day - spinning bullet lists into polished descriptions, bulk‑creating social posts or editing photos for virtual staging - is precisely what generative tools do fast and at scale; platforms like Canva can even turn listing photos into short branded videos in seconds, making it easy to publish reels while an agent is still on a showing (REALTOR Magazine: Using AI to convert property listings into social video reels).

That speed is an opportunity if treated with discipline: use AI to draft captions, batch videos and pre‑stage images, but keep a human editor to check facts, enforce Fair Housing rules, disclose virtual staging, and preserve brand voice (see practical workflows and compliance guidance in the industry guide to AI for agents) (KapRE guide: AI-powered listing copy and CMA best practices for real estate agents).

For Chilean markets, combine those human‑in‑the‑loop checks with locality‑aware prompts and SEO (keywords like estacionamiento or precio por m2 for Las Condes) to keep listings discoverable and trustworthy while shifting junior roles toward prompt engineering, compliance auditing and creative direction rather than rote drafting (Nucamp AI Essentials for Work syllabus - SEO-optimized property listings and AI skills for real estate).

“AI has enormous potential to reshape real estate, with near and long-term impacts ranging from the emergence of new markets and asset types to innovations in ...”

Fill this form to download the Bootcamp Syllabus

And learn about Nucamp's Bootcamps and why aspiring developers choose us.

Bookkeepers / Entry-Level Accounting Staff in Real Estate Firms - Risks and adaptation (Bookkeepers)

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Bookkeepers and entry‑level accounting staff in Chilean real estate firms are squarely in the spotlight because the very tasks they spend hours on - invoice capture, PO matching, basic reconciliations and the month‑end close - are the first to be swept up by AI, RPA and hyperautomation; AI‑powered AP automation can ingest invoices, auto‑populate fields and route approvals, while agentic UI tools and orchestration shave “busy work” time down dramatically (AI-driven AP automation and invoice capture - AvidXchange, Hyperautomation and agentic UI in 2025 - RSM).

The practical playbook for Chilean firms is not to resist but to retool: train bookkeepers to own exception management, configure low‑code workflows, maintain audit trails and validate AI‑flagged anomalies as part of a continuous‑assurance approach that supports faster, more accurate closes (autonomous close and continuous assurance trends - Forvis Mazars).

Because Chile's Open Finance and fintech rules tighten data and vendor obligations, hands‑on controls and secure integrations become competitive advantages; imagine a desk that once held a tower of invoices replaced by a color‑coded dashboard where a single red flag still commands immediate human attention - one sharp verifier can save weeks of downstream fire‑fighting.

High‑Risk TaskPractical Adaptation
Invoice capture & AP processingAdopt AI AP tools, manage exceptions, set audit trails
Reconciliations & close cyclesShift to oversight of autonomous close agents and variance analysis
Data handling & vendor systemsEnforce secure integrations, compliance with Open Finance rules

Conclusion: How Chilean real estate professionals can adapt (Gallagher, Weintraub recommendations)

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Chile's market reality in 2025 - cautious recovery, tighter permits and a push toward sustainability - means adaptation can't be an afterthought: pair Weintraub's task‑level diagnostics (identify which daily tasks can be sped up or automated) with practical governance and risk‑management playbooks, and then train the team to run pilots and scale what proves safe and valuable.

That means short, measured experiments that automate comparables, lease-renewal reminders or invoice capture while keeping a human verifier for exceptions; it also means shoring up data and vendor controls as Chile's digital infrastructure and regulation evolve.

Use local evidence (market outlooks for Chile) to prioritize roles in Santiago or mining hubs, treat AI as a force multiplier (the global AI‑in‑real‑estate market is growing fast) and invest in human capital - for example a 15‑week AI Essentials course to learn prompt design, tool selection and oversight workflows (Nucamp AI Essentials for Work syllabus).

Start small, document decisions, and remember the simple truth: a stack of permits can become a color‑coded dashboard - but one red flag still needs a human hand to stop a bad deal (Chile market outlook - Adventures in CRE, AI in Real Estate market report (2025)).

AdaptationHow to startReference
Task‑level audits & pilotsMap daily tasks, pilot small automation, measure time savingsWeintraub task‑level approach
Governance & controlsDocument models, vendor checks, audit trails for complianceAdventures in CRE - Chile market outlook
ReskillingTrain staff in prompts, tool use, and oversightNucamp AI Essentials for Work syllabus

Frequently Asked Questions

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Which five real estate jobs in Chile are most at risk from AI?

The article identifies five high‑risk roles: 1) Transaction coordinators / administrative assistants; 2) Junior market research analysts / valuation assistants; 3) Leasing agents and basic rental customer‑service roles; 4) Real estate marketing content creators, listing copywriters and junior editors; 5) Bookkeepers / entry‑level accounting staff. These roles are exposed because they spend many hours on repeatable text, image or data workflows that generative AI, RPA and automation can accelerate. Note: global AI‑in‑real‑estate spending is estimated at about $301.6B in 2025 and is forecast toward ~$975B by 2029, while Chile's generative‑AI market outlook is projected near US$459.2M by 2030 - trends that drive rapid tool adoption.

How was the risk assessment for these jobs determined?

Risk follows a task‑level methodology based on Gabriel Weintraub's approach: occupations are decomposed into >200,000 tasks (Workhelix data) and each task is scored for whether generative AI can cut execution time by at least 50%. Task scores are then aggregated into job‑level “acceleration” measures and weighted by hours spent on each task. Industry syntheses on text/image models were used to map which role‑types (data entry, listing copy, image editing, routine tenant communication) show greatest near‑term exposure. The analysis emphasizes tasks, not job titles, and accounts for regional variation and Chile's large informal economy that can slow immediate churn.

What practical adaptation steps can each at‑risk role take in Chile?

Practical, role‑specific adaptations include: Transaction coordinators - adopt secure transaction management platforms, use AI‑assisted contract review and deadline automation but retain a human verifier on every file; Junior market analysts/valuation assistants - build AI‑assisted pipelines to auto‑prep comparables, surface anomalies, document models and reserve final valuation calls for humans; Leasing agents/customer service - deploy cloud contact‑center tooling, omnichannel routing and AI agent‑assist for routine pre‑qualification while training humans to handle negotiations and exceptions; Marketing content creators / copywriters - use generative tools for drafts and batch content but keep human editors for facts, compliance (disclosures, Fair Housing) and brand voice, and retrain juniors into prompt engineering and creative direction; Bookkeepers - adopt AI/AP automation and RPA for invoice capture but shift staff toward exception management, low‑code workflow configuration, audit trails and compliance with Chilean Open Finance and vendor rules.

How should Chilean real estate teams begin adopting AI safely and prioritize work?

Start small and measured: run task‑level audits to map daily tasks, pilot targeted automations (e.g., comparables prep, lease‑renewal reminders, invoice capture), measure time savings and ROI, and scale what proves safe. Implement governance: document models, vendor checks, audit trails and escalation rules; keep human verifiers for exceptions and legally sensitive steps. Prioritize pilots where local market evidence shows high gains (Santiago or mining hubs) and where automation reduces repetitive time without removing essential human judgment.

What reskilling or training options can help real estate professionals adapt, and where can they start?

Reskilling should focus on prompt design, tool selection, oversight workflows, low‑code automation and exception management. A practical starting point is structured training - for example, Nucamp's AI Essentials for Work: a 15‑week program (early‑bird cost cited at $3,582 in the article) that teaches prompt writing and workplace AI skills. Combine short courses with on‑the‑job pilots so staff immediately apply new skills to tasks like prompt tuning for locality‑aware listings (e.g., Las Condes keywords), monitoring AI outputs and maintaining compliance and audit trails.

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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