WHY ATTEND?
What is AI in Finance 2026?
Following a successful inaugural edition, AI in Finance returns in 2026. Brought to you by the organisers of London Tech Week, the event brings together senior leaders from leading UK and European legacy banks, challenger banks, FinTech organisations and regulatory bodies responsible for AI, technology, data, digital transformation, governance and innovation.
Join a fully interactive event where trailblazing financial services leaders will share practical AI success stories, challenges and lessons learned through cutting-edge case studies and candid discussions. Explore how organisations are scaling AI across the business, deploying agentic AI, improving workforce productivity, strengthening organisation-wide adoption and delivering game-changing customer experiences.
Collaborate with senior peers in candid closed-door discussions, learn directly from the leaders driving AI transformation and take part in curated 1-to-1 meetings matched to your priorities. Continue the conversation and expand your network at the post-event drinks reception.
Why attend
Hear from 20+ senior leaders driving AI transformation across leading legacy banks, challenger banks, FinTech organisations and regulatory bodies
Build relationships with 100+ senior financial services professionals, with the majority at Director level or above.
Discover real-world case studies on scaling AI, deploying agentic AI, increasing organisation-wide adoption and transforming customer experiences.
Gain actionable insights through candid, peer-level roundtables covering AI governance, adoption, risk, data and measurable business value.
What’s New for 2026
This year’s event is designed to help financial services leaders move beyond theory, learn from real AI implementations and build valuable connections with the people shaping the industry.
- More interactive roundtables: Three hours of closed-door discussions covering 15 focused topics, compared with four topics last year.
- Curated 1-to-1 meetings: Personalised meetings matched to attendees’ priorities, challenges and business needs.
- More practical case studies: Real examples of how financial institutions are driving AI adoption, increasing reliability and scaling AI successfully.
- Broader industry representation: More senior speakers from leading legacy and challenger banks.
- New and evolving topics: Explore AI literacy, rising costs, vendor lock-in, centralised AI hubs and governance frameworks that remain secure at scale.