The apprehension surrounding AI encompasses several facets, including challenges in implementation, potential liability exposures, and the proliferation of misinformation and disinformation. These factors collectively contribute to the heightened sense of risk associated with AI adoption.
Cyber incidents and changes in legislation and regulation have consequently moved down to second and third places, respectively, while climate change has risen to fourth. Talent or labour issues and business interruption now occupy the fifth and sixth positions, followed by natural catastrophes, which have dropped to seventh.
Allianz characterises AI as a complex source of operational, legal, and reputational risk for businesses. Globally, AI has recorded the most significant jump in the Allianz Risk Barometer, moving from eighth to second place, just behind cyber incidents, which retain the top spot.
Andy Doran, General Manager of Underwriting at Allianz Australia, highlighted the multifaceted challenges posed by AI. He noted that as businesses attempt to scale AI in 2026, they will encounter increased exposure to system reliability issues, data quality constraints, integration hurdles, and shortages of AI-skilled talent. Additionally, new liability exposures are emerging around automated decision-making, biased or discriminatory models, intellectual property misuse, and uncertainty over responsibility when AI-generated outputs cause harm.
To address these risks, Australian businesses are advised to focus on upgrading their AI governance frameworks, investing in employee training and responsible AI practices, and developing contingency and incident-response plans for AI-related failures or misuse.
As AI continues to evolve and integrate into various business functions, it is imperative for Australian enterprises to proactively manage the associated risks to safeguard their operations and reputations.
