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Mitigating Risk greater exposure to system-reliability issues, data-quality another 43% rate it as “high,” underscoring the expanding constraints, integration hurdles, and shortages of AI-skilled operational burden of AI adoption. And although many orga- talent. Staying stuck in pilot mode carries its own risks too – nizations still see AI as delivering more bene? ts than risks, a investments and expectations rise, but the business value may rising share now views it as a distinct and increasingly com- not follow. Meanwhile, new liability exposures are emerging plex risk category.

around automated decision-making, biased or discriminatory To read the full report, please visit: models, intellectual-property misuse, and uncertainty over 2026 Allianz Risk Barometer who is responsible when AI-generated outputs cause harm.

For vessels on the high seas, when

AI-generated outputs cause harm, shore-side assistance to mitigate the problem will likely be hun- dreds of miles away, while the responsible entity may likely be buried in the layers of third party participants that are involved in the global supply chain.

Concerns about the resources required to manage these risks are also growing. Nearly half of Risk

Barometer global respondents (47%) say the investment needed to handle AI- and cyber-intensi- ? ed threats is “moderate,” while 26 Maritime Reporter & Engineering News • February 2026

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