Three years into the generative AI era, our research across 1,000 senior leaders found only 22% are seeing real returns, so what is the other 78% still waiting on?

This webinar draws on the AI Trust Report 2026, surveying 1,000 senior leaders across Finance, Healthcare, Insurance, Energy and the Public Sector, to answer the question that has replaced "Are you using AI?": what would make you trust it enough to fully benefit from it?

Luke Vilain (Director at PwC, AI trust & governance expert, ex-UBS, ex-Accenture, ex-Lloyds Banking Group) and Paul Cumming (Associate Director, Audit Innovation, at Grant Thornton) join Dr. Ailish McLaughlin (Solutions Lead, UnlikelyAI) to explore why the real story isn't just AI adoption, it's what happens after. Where efficiency gains are being eaten by verification of AI, and what's standing between AI adoption and ROI in financial services? 

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What we'll cover

The verification tax: when efficiency gains disappear into oversight

• How should organisations account for verification overhead when making the case for AI investment?
• At what point does human-in-the-loop become a liability rather than a safeguard?
• People focus heavily on the models themselves but what does trustworthy AI infrastructure actually require in practice?
• What would AI systems need to demonstrate, technically and in practice, before regulators and organisations would feel confident reducing human oversight?

Download The AI Trust Report 2026

1,000 senior leaders surveyed across Finance, Healthcare, Insurance, Energy and the Public Sector, the data that got picked up by CNBC, FT Adviser, BBC Tech Life and Pathfounder's Podcast, worth an in-depth conversation. Take a look at it before you join.

Can't make it? Register anyway and we'll send you the recording afterwards.