Skip to content
AI ConnectPowered by VELENTIS
AI-generated1 min

IREM and AppFolio Study Finds Widespread AI Adoption in Property Management Despite Severe Governance Vacuum

A survey by IREM and AppFolio reveals that 58 percent of US property managers use AI regularly, yet only 8 percent work under written corporate AI policies.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

On September 28, 2026, the Institute of Real Estate Management (IREM) and software provider AppFolio released the findings of a comprehensive joint industry study. Based on responses from 3,662 professionals across the US real estate sector, the report reveals that artificial intelligence has rapidly become an operational fixture in property management. However, this swift adoption in daily workflows is unfolding alongside a pronounced deficit in organizational governance and formal oversight.

According to the study, 58 percent of property managers now deploy AI on a regular basis to handle recurring operational duties. Key areas of implementation include answering tenant inquiries, auditing vendor invoices, and drafting marketing property listings. By automating these repetitive administrative burdens, management teams are shortening response times and streamlining standard interactions across residential and commercial portfolios.

The financial and operational benefits of these tools appear substantial across the surveyed companies. A full 85 percent of active AI users report measurable gains in staff productivity. Furthermore, 48 percent of respondents indicate that these efficiency gains have directly improved their Net Operating Income, demonstrating that algorithmic assistance is already influencing bottom-line performance.

Despite this widespread operational reliance, formal structural governance remains largely nonexistent. Only 8 percent of the surveyed property management firms have instituted written policies governing the acceptable use of artificial intelligence. In addition, only 26 percent of staff members have received formal training, meaning the vast majority of employees navigate these tools on an ad-hoc and unsupervised basis.

This institutional void mirrors the primary concerns voiced by management executives regarding deeper system integration. Survey respondents identified liability risks and reliability concerns, particularly regarding computation errors and flawed accounting calculations, as the greatest impediments to expanded automation. Until structured verification frameworks and clear compliance protocols are established, full automation across critical property workflows will likely face sustained industry resistance.

What this means for you

For property managers and real estate asset operators, the study underscores an acute operational vulnerability: relying on generative tools without formal corporate policies invites severe compliance and calculation errors. Establishing formal training programs and written guidelines is no longer an administrative afterthought, but a prerequisite for protecting net operating income gains.

Evidence

Solidly sourced
46/100
  • A joint survey by IREM and AppFolio evaluated responses from 3,662 US real estate professionals.

    single source
  • 58 percent of property managers regularly deploy AI for routine tasks such as tenant communications, invoice reviews, and listing creation.

    single source
  • 85 percent of AI users report productivity gains, while 48 percent report a positive impact on Net Operating Income.

    single source
  • Only 8 percent of surveyed firms have established written AI policies, and just 26 percent of employees received formal training.

    single source

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: September 29, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
1
Verified statements
0 / 4
Evidence score
46Solidly sourced

Want to put this into practice?

We connect you with suitable AI providers from the DACH region, free of charge and without obligation.

What's next?