Bank of England Innovation: AI, DLT, and Quantum Computing Strategy

This episode discusses a publication from the Bank of England outlining its comprehensive strategy for addressing technological advancements, specifically focusing on artificial intelligence (AI), distributed ledger technology (DLT), and quantum computing. This document details the Bank's objective to foster responsible innovation within the UK's financial sector to boost productivity and economic growth while simultaneously managing associated risks to monetary and financial stability. The Bank plans to achieve this through three primary levers: utilizing its hard and soft infrastructure, such as the renewed Real-Time Gross Settlement (RTGS) service and regulatory guidance, and employing its convening and coordinating role with domestic and international partners. The strategy includes continuous engagement with innovators, adapting core functions, and removing undue regulatory barriers to ensure a future-proof and resilient financial system. Separate sections are dedicated to how the Bank is applying this approach to each of the three transformative technologies, detailing both current and future actions. Reference "The Bank of England’s approach to innovation in artificial intelligence, distributed ledger technology, and quantum computing" Published on 15 October 2025 https://www.bankofengland.co.uk/report/2025/the-boes-approach-to-innovation-in-ai-dlt-quantum-computing Podcast Disclaimer This podcast is an independent production and is not affiliated with or endorsed by any third-party entities unless explicitly stated. The content is for educational and informational purposes only and does not constitute financial, investment, legal, or professional advice. Listeners should consult qualified professionals before making any decisions based on this content. This episode is based on the reference(s) listed above and was generated using Notebook LM and potentially other AI tools. While I have reviewed the content for accuracy, it may still contain errors, inaccuracies, or omissions. Neither the producers nor any affiliates accept liability for any damages or losses arising from the use or interpretation of this content.