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HomeNews & Current EventsBank of England Charts Future: Prioritizing AI, DLT, and...

Bank of England Charts Future: Prioritizing AI, DLT, and Quantum Computing for Economic Transformation

TLDR: The Bank of England has unveiled a comprehensive strategy to prioritize Artificial Intelligence (AI), Distributed Ledger Technology (DLT), and quantum computing, recognizing their immense potential to reshape the UK economy and financial services. This initiative aims to foster ‘responsible innovation’ to boost productivity, enhance financial stability, and drive sustainable economic growth, while actively managing associated risks.

The Bank of England (BoE) has officially outlined its strategic focus on three groundbreaking technologies – Artificial Intelligence (AI), Distributed Ledger Technology (DLT), and quantum computing – identifying them as key drivers for transformative outcomes within the UK economy and its financial services sector. This forward-looking approach, detailed in a recent report published on October 15, 2025, emphasizes fostering ‘responsible innovation’ to harness the benefits while mitigating potential risks.

Sarah Breeden, Deputy Governor for Financial Stability at the BoE, underscored the significance of this initiative, stating, “Many firms are already using AI, piloting DLT applications, and exploring opportunities to use quantum computing.” She added, “Beyond acting as an early adopter of these technologies, the financial services sector has an important role to play in enabling other sectors to adopt them too. If adopted widely and responsibly, these technologies could boost the UK’s productivity and overall economic growth.” The Bank’s stance is not to impede innovation but to actively shape it, ensuring a resilient and efficient financial system.

Artificial Intelligence (AI): A Catalyst for Productivity and Risk

AI is considered by the BoE as potentially the most transformative technology of our era, capable of delivering significant efficiency gains and boosting productivity across the financial services sector and the broader economy. A joint survey by the Bank and the Financial Conduct Authority (FCA) in 2024 revealed that 75% of UK financial firms are already utilizing AI, with an additional 10% planning adoption within the next three years. Notably, foundation models constitute 17% of current AI use cases. Estimates suggest AI could nearly double the UK’s annual GDP growth rate to approximately 3% by 2035, up from an average of 1.6% between 2013 and 2023. Generative AI (GenAI) alone could bring productivity gains of up to 30% to banking, insurance, and capital markets over the next 15 years.

However, this rapid adoption is not without its perils. The BoE highlights risks such as increased cyberattack possibilities, operational risks from reliance on third-party providers, potential for correlated outcomes in financial markets, and model and data-related risks. To address these, the Bank has established an AI Consortium with the FCA to engage with experts on challenges like third-party reliance, systemic vulnerabilities from similar AI models, and the explainability of AI. The Bank is also developing its internal AI strategy, leveraging AI for predictive analytics, forecasting GDP growth, and enhancing staff productivity through tools for summarization, note-taking, and code generation.

Distributed Ledger Technology (DLT): Reshaping Financial Infrastructure

DLT, often associated with blockchain, holds the promise of fundamentally re-wiring parts of the financial system. It enables common shared ledgers for near-simultaneous updates across transaction parties, potentially reducing frictions with 24/7 operations, near-instant settlement, and lower post-trade processing costs. Stablecoins built on DLT networks are already facilitating faster, cheaper cross-border payments, and DLT could unlock approximately $20 billion annually in global clearing and settlement cost savings when operating at scale.

Despite its benefits, widespread DLT adoption faces obstacles, including high upfront costs, lack of interoperability between platforms, and inconsistent legal and regulatory frameworks. The BoE is actively engaged in initiatives like Project Agorá, a public-private collaboration exploring tokenized commercial and central bank money on a unified, programmable ledger. The Bank also completed its RTGS (Real-Time Gross Settlement) service renewal (RT2) in April 2025, enhancing resilience and functionality. A ‘synchronisation interface’ is planned for RTGS to connect with external DLT-based ledgers, with a synchronisation lab launching in 2026. The Digital Securities Sandbox (DSS), launched in September 2024 with the FCA, provides a live regulatory environment for firms to experiment with DLT in securities issuance, trading, and settlement. The Bank will consult on a regulatory regime for systemic stablecoins in Q4 2025.

Quantum Computing: The Next Computational Leap

Quantum computing is poised to deliver the next major technological leap in financial services within the coming decade, offering an exponential increase in computational power for problems currently beyond classical computers. This could enhance market trading and investment processes, optimize payment processing, and bolster cybersecurity. Oxford Economics estimates that quantum computing could boost UK economy-wide productivity by up to 7% by 2045.

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However, the technology is in early development, and its materialization timeline is uncertain. Key risks include rendering asymmetric cryptography obsolete, leading to ‘harvest now, decrypt later’ threats, exacerbating third-party and operational resilience risks, and potentially supercharging risks from other technologies like AI due to ultra-fast computation. The BoE is preparing for a post-quantum future by engaging with firms through the Cross Market Operational Resilience Group (CMORG) and the FCA to assess quantum readiness. It has developed risk scenarios for post-quantum threats and is collaborating with domestic and international authorities, including co-chairing the G7 Cyber Experts Group, to coordinate cybersecurity and strategy.

Meera Iyer
Meera Iyerhttps://blogs.edgentiq.com
Meera Iyer is an AI news editor who blends journalistic rigor with storytelling elegance. Formerly a content strategist in a leading tech firm, Meera now tracks the pulse of India's Generative AI scene, from policy updates to academic breakthroughs. She's particularly focused on bringing nuanced, balanced perspectives to the fast-evolving world of AI-powered tools and media. You can reach her out at: [email protected]

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