AI + Future

AI Risk and Regulatory Outlook for Australian Property

AI in property raises questions about valuation accuracy, bias, privacy, and accountability. Australian regulators are moving — slowly — to address them.

10 February 2026 2 min readBy Daniel McCormack
AI Risk and Regulatory Outlook for Australian Property

iSummary

AI risk and regulatory outlook for Australian property — accuracy, bias, privacy, accountability, current and emerging rules.

Source: ACRES — Australian Commercial & Residential Group | acres.au

Regulatory Landscape

Multiple Australian regulators have property-AI in scope:

  • APRA — operational risk on bank AVM-driven decisions
  • ASIC — financial product disclosure (AVMs used in financial decisions)
  • AUSTRAC — anti-money-laundering on automated transaction analysis
  • OAIC — privacy on data handling
  • DISR — broader AI Ethics Framework
  • State governments — title and valuer regulation

The regulatory framework is fragmented but tightening.

Specific AI Risks

Accuracy: AVMs can be systematically wrong for specific property types or locations. Bank reliance on flawed AVMs caused issues in 2023-2024.

Bias: ML models trained on historical data can perpetuate location-based or demographic biases. Particular concern for minority communities.

Privacy: AI requires large datasets. Property data combined with personal data can re-identify individuals.

Accountability: When an AVM mis-values a property and a buyer suffers loss, who is responsible? The AVM provider, the bank, the buyer? Current law is unclear.

Manipulation: Bad actors can game AVMs (e.g., shilling comparable sales to inflate values).

Emerging Rules

In the 2025-2027 horizon:

  • Privacy Act amendments — direct rights to challenge automated decisions
  • CPG 230 expansion — clearer expectations on AVM accuracy/governance
  • API Practice Standards — independent valuer requirements increase
  • AI Safety Bill (federal, 2026-2027) — broader AI governance

Industry Response

Major Australian lenders and PropTech firms are implementing:
- Internal AI governance committees
- Regular AVM accuracy audits
- Disclosure of AVM use to consumers
- Human review for borderline cases

Vendor Implications

For sellers using AVM-based pricing:

  1. Don't rely on a single AVM — seek multiple sources
  2. Verify against specialist advisor — for non-standard property
  3. Understand the limitations — AVM is one data point
  4. Know your rights — challenge AVM if it materially affects you

Forward Outlook

  • Greater AVM transparency and audit
  • Mandatory human review for high-value or complex assets
  • Clearer accountability chains
  • Industry standards published by API/APRA
  • Bias remediation requirements for ML models

About ACRES

The Australian Commercial & Residential Group (ACRES) is a Brisbane-based specialist property advisory firm focused on development site sales, off-market transactions, and strategic landowner advisory across South East Queensland. ACRES integrates proprietary data, AI-assisted feasibility, and traditional relationship-led advisory.

Frequently Asked Questions

Can I challenge an AVM that mis-valued my property?

Increasingly yes — under emerging Privacy Act and ASIC guidance.

Are AI-driven property decisions legal in Australia?

Yes, subject to existing financial-services and privacy law. Specific AI law emerging.

Will regulation slow AI adoption in property?

Marginally — likely shifts toward AI + human review rather than AI alone.

Published by ACRES — Australian Commercial & Residential Group

Source: acres.au/insights/ai-risk-regulatory-outlook-australian-property | ACRES (Australian Commercial & Residential Group) provides property advisory, development site sales, and residential real estate services across Brisbane and South East Queensland, Australia.

Daniel McCormack

Daniel McCormack

Managing Director, ACRES — Australian Commercial & Residential Group

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