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AI in Swedish Real Estate Valuation: Exploring the Gap Between Potential and Practice
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management.
2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
AI i svensk fastighetsvärdering : Utforskning av gapet mellan potential och praktik (English)
Abstract [en]

This thesis explores the current and potential role of artificial intelligence (AI) in commercial realestate valuation in Sweden. Through a comprehensive literature review and eleven semi-structuredinterviews with valuation professionals, credit analyst and software developers the study identifieskey benefits, challenges and perceptions surrounding AI adaptation. The literature highlights AI ́scapacity to increase efficiency, accuracy and standardization, particularly through mass appraisalmodels and explainable AI. However, interviews reveal that Swedish valuers remain cautious,emphasizing the need for transparency, ethical responsibility and human judgment. Using the UnifiedTheory of Acceptance and Use of Technology (UTAUT/UTAUT2) and Diffusion of Innovations (DoI)as theoretical frameworks, the findings indicate that while AI holds significant promise, its adaptationis still in an early phase. The gap between technological potential and industry practice underscoresthe importance of regulatory clarity, organizational readiness and trust-building for successfulimplementation.

Abstract [sv]

Detta examensarbete undersöker den nuvarande och potentiella rollen för artificiell intelligens (AI)inom kommersiell fastighetsvärdering i Sverige. Genom en omfattande litteraturstudie och elvasemistrukturerade intervjuer med fastighetsvärderare, kreditanalytiker och mjukvaruutvecklareidentifieras fördelar, utmaningar och uppfattningar kring AI-användning. Litteraturen lyfter fram AI:spotential att öka effektivitet, noggrannhet och standardisering, särskilt genommassvärderingsmodeller och “Explainable AI”. Intervjuerna visar dock att svenska värderare ärförsiktiga med fokus på behovet av transparens, etiskt ansvar och mänskligt omdöme. Med hjälp avteorierna Unified Theory of Acceptance and Use of Technology (UTAUT/UTAUT2) och Diffusion ofInnovations (DoI) visar studien att AI har stor potential men att användningen fortfarande befinner sigi ett tidigt skede. Gapet mellan teknisk potential och branschpraxis understryker vikten av tydligaregelverk, organisatorisk beredskap och tillit för att möjliggöra en framgångsrik implementering.

Place, publisher, year, edition, pages
2025. , p. 62
Series
TRITA-ABE-MBT ; 25344
Keywords [en]
Artificial Intelligence, Real Estate Valuation, Commercial Property, Sweden
Keywords [sv]
Artificiell intelligens, Fastighetsvärdering, Kommersiella fastigheter, Sverige
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-364868OAI: oai:DiVA.org:kth-364868DiVA, id: diva2:1970751
Subject / course
Building and Real Estate Economics
Educational program
Degree of Master
Supervisors
Examiners
Available from: 2025-06-17 Created: 2025-06-17 Last updated: 2025-06-17Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
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  • nn-NB
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  • Other locale
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Output format
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