How AI Is Making Insurance More Affordable and Responsive for Australians

CSIRO and the Insurance Council of Australia highlight AI’s role in tackling insurance challenges like rising costs and natural disaster risks. AI can improve affordability, claims processing, and customer service.

Categorized in: AI News Insurance
Published on: Aug 25, 2025
How AI Is Making Insurance More Affordable and Responsive for Australians

AI for Better Insurance: Enhancing Customer Outcomes amid Industry Challenges

CSIRO, Australia’s national science agency, and the Insurance Council of Australia (ICA) have published a report on how artificial intelligence (AI) can address key challenges in the insurance sector. The report, AI for Better Insurance: Enhancing Customer Outcomes amid Industry Challenges, outlines how AI can help insurers manage rising operational costs, natural disaster risks, and evolving customer expectations.

In Australia, about one in three properties—around 5.6 million homes—face some degree of bushfire risk. Additionally, 1.36 million homes are exposed to flood risk. These hazards, combined with inflation, labour shortages, and increased reinsurance costs, have caused significant rises in insurance premiums and claims. Catastrophic event claims have surged by nearly 50% in the past five years and are projected to grow 5% annually until 2050. These pressures heavily impact communities, especially households in high-risk areas and those already managing cost of living challenges.

Why AI Matters for Insurance

Dr Alexandra Bratanova, who leads the CSIRO project, stresses the urgency of adopting new solutions in Australia’s insurance industry. She notes that climate change, rising costs, and shifting customer demands put the sector under pressure. The research identifies seven key focus areas to guide responsible AI adoption, aiming to improve affordability, customer service, and industry resilience.

AI offers insurers the opportunity to streamline operations and provide more personalised experiences. This can make insurance more affordable, responsive, and accessible. However, Dr Bratanova highlights the need for strong governance to ensure consumer privacy and fairness are maintained during this transition.

Priority AI Use Cases for Insurers

The report highlights five key AI applications for Australian insurers:

  • Automated claims processing
  • Fraud detection
  • Enhanced underwriting
  • Natural disaster impact prediction
  • Operational compliance

ICA CEO Andrew Hall emphasizes that this research offers a practical guide for insurers to adopt AI responsibly and focus on customer outcomes. Effective AI implementation can improve affordability and bolster natural disaster response and recovery efforts, helping more Australians secure financial protection.

He also stresses the industry’s commitment to safe AI adoption by addressing privacy, safety concerns, and system biases to ensure fairness across all customer groups.

Seven Key Areas for Advancing AI Adoption

  • Delivering better insurance for all through AI-driven solutions
  • Strengthening governance for responsible AI adoption
  • Fostering collaboration and resilience across the industry
  • Adopting AI strategically and proactively
  • Building AI skills for a future-ready workforce
  • Becoming a trusted partner through transparent AI
  • Innovating insurance products to address emerging challenges

This research was conducted with the ICA AI Working Group and draws on international frameworks and best practices for responsible AI use. For insurance professionals looking to expand their AI knowledge, exploring targeted AI training can be valuable. Resources such as Complete AI Training’s insurance-focused courses offer practical insights and skill development.

Read the full report: AI for Better Insurance: Enhancing Customer Outcomes Amid Industry Challenges.


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