• The convergence of AI and Distributed Ledger Technology – opportunities and risks

September 2025

Artificial intelligence (AI) and distributed ledger technology (DLT) are transforming industries. But the technologies can be even more powerful in combination, if industries and organisations can harness this synergy effectively. This joint whitepaper, published by Deutsche Bank and Clifford Chance, outlines the opportunities and risks that the convergence of AI and DLT bring

Deutsche Bank and Clifford Chance’s combined expertise from both a financial services and legal perspective has come together to report on this trend in a white paper, titled The convergence of AI and Distributed Ledger Technology – opportunities and risks.

As the report notes, while AI brings intelligence, automation and analytical capabilities, DLT offers decentralisation, transparency and data provenance. When combined, the technologies can mutually reinforce each other’s capabilities.

The predictive and analytical capabilities of AI, combined with the decentralised and resilient infrastructure of DLT, has the potential to accelerate the transformation of a range of products, services and industries by enabling smarter, automated systems that operate with improved transparency, efficiency and trust.

The paper highlights several key areas for organisations seeking to leverage AI and DLT effectively:

  • Practical considerations for implementation
  • Use cases for organisations
  • Navigating risks and legal complexities

While there are numerous hurdles and complexities, for many organisations the potentially transformative opportunities arising from the combination of AI and DLT may significantly outweigh the challenges.

The groundwork for this transformation is already being laid, and, for many use cases, their implementation will not be in the far-distant future, but a shorter-term reality.

To read the white paper in full, download it using the link below:

The Convergence of AI and Distributed Ledger Technology: Opportunities and Risks Download the white paper