Experts Questioned AI Insurance Transparency in 2026
Industry leaders addressed risks regarding AI-driven insurance recommendations at the Innovate This 2026 conference.
Updated on Sept. 29, 2026 in Artificial Intelligence
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At the Innovate This 2026 conference, global experts examined the lack of transparency in how AI models recommend insurance products. The discussion highlighted concerns that AI platforms may prioritize commissions over product quality.
Why it matters
As large language models become primary information sources for consumers, a lack of transparency could lead to a significant loss of public trust. Protecting the integrity of insurance rankings is essential as these platforms evolve into broader travel distribution channels.
AI platforms currently integrate insurance products at granular levels, allowing specific risks linked to user travel bookings to drive automated selections.
The players
Peter Blanc
He serves as the global head of M&A and a strategic advisor at Howden, a leading international insurance brokerage.
Alistair Crossley
He serves as the global head of travel solutions at Axa, a major multinational insurance and asset management company.
The details
Insurance experts argued that AI platforms are moving toward becoming primary distribution channels, potentially enabling customers to book entire journeys. They warned that these systems currently lack the ranking transparency found in traditional price comparison websites, raising concerns that the most profitable products might be prioritized over the most suitable ones.
Timeline
The Innovate This 2026 conference took place in 2026.
The Tech Race
This development reflects the broader move from manual price comparison tools to automated AI intermediaries that are increasingly replacing legacy web search systems. The industry is now racing to define standards for these platforms before consumer trust erodes entirely.
Consumers booking travel through AI-powered assistants may unknowingly see higher-commission insurance options presented as top recommendations. Users should verify policy details independently rather than relying solely on the automated rankings provided by these platforms.
The takeaway
Transparency remains the primary hurdle for the successful integration of AI into financial service distribution. Users should remain cautious of automated product rankings until clear industry standards for AI disclosures are established.
Further reading
For more information on the evolving standards for machine learning, visit our Artificial Intelligence section.
Source note: This article includes information reported by Insurance Times.
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