---
title: "US, China Lead Global AI Finance Index"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/274600653.md"
description: "The Global AI Competitiveness Index (GAICI) by Deep Knowledge Group ranks the US first and China second in AI adoption within finance, highlighting the ongoing US-China competition in this field. The UK, Switzerland, and Singapore follow in the rankings. New York leads city hubs, followed by London, Hong Kong, San Francisco, and Shanghai. The index evaluates 20 countries and 15 city-level finance hubs based on factors like deployment readiness and institutional capacity. Key use cases include risk modeling and compliance automation, emphasizing the importance of execution in AI leadership."
datetime: "2026-02-03T05:07:20.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/274600653.md)
  - [en](https://longbridge.com/en/news/274600653.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/274600653.md)
---

# US, China Lead Global AI Finance Index

**Competition in artificial intelligence has been one of the major areas defining US-China tensions with both countries leading in the field, including adoption within finance, according to an index by Deep Knowledge Group.**

According to the Global AI Competitiveness Index (GAICI) in a report by Deep Knowledge Group, the US was ranked first and China placed second as the world’s leading countries for AI adoption in finance. This was followed by the UK, Switzerland and Singapore. By city hubs, New York was in the top spot, followed by London, Hong Kong, San Francisco and Shanghai.

The index ranked 20 countries and 15 city-level finance hubs on the capabilities and maturity of AI within finance. Factors considered include deployment readiness, institutional capacity, and ecosystem breadth.

**Top Use Cases**

In terms of the leading use cases, the report said that the most scalable value sits in risk modelling, surveillance and compliance automation. Infrastructure readiness is now strategic to drive time-to-market in areas like secure compute, data availability, and cyber or operational resilience.

«Leadership in AI is ultimately defined not by experimentation, but by execution. The jurisdictions that lead in the Global AI for Finance Index translate AI capability into trustworthy financial systems, grounded in governance, resilience, and market integrity as foundations of national strategy,» said **Dmitry Kaminskiy**, general partner of Deep Knowledge Group.

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