How is AI being deployed across the structured finance value chain today? Looking at underwriting, surveillance, servicing, reporting, and due diligence. Where are the biggest practical gains and bottlenecks? What challenges are limiting adoption of AI into financial markets; such as legacy systems and processes, data quality, model governance, regulatory scrutiny etc.? How is the rapid expansion of AI reshaping investable asset classes such as datacenters and digital and energy infrastructure, and how can structured finance play a role in funding growth? As AI becomes more embedded in credit decision-making and market infrastructure, how is the market looking to balance efficiency and innovation with resilience, transparency and regulatory oversight? What are the sustainability and ESG implications of AI growth? From energy and water usage, to carbon credits and offsetting, how should these risks be assessed and priced?