AI challenges in financial services 2025| ��ƽ��

Main artificial intelligence (AI) challenges in financial services worldwide from 2023 to 2025

Characteristic	2023	2024	2025
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Source

Release date

January 2026

More information

Region

Worldwide

Survey time period

2023 to 2025

Number of respondents

839 respondents

Method of interview

Online survey

Supplementary notes

In 2025, the source slightly adjusted the question wording and the way results were displayed. The 2025 edition reports only the top three items shown (rather than providing a full list of challenges).

The source adds the following information: The sample was split evenly between management (including executives) and AI practitioners and covered a wide range of financial services segments, including asset managers and owners, broker-dealers, consultancies, commercial and retail banks, fintechs, investment banks, insurers, market data providers and exchanges, payments firms, and regulators. Respondents represented companies of different sizes: one-third reported annual revenue above 250 million U.S. dollars, and 40 percent came from firms with more than 500 employees. The global online survey was distributed via NVIDIA’s mailing lists and social media and, in China, through a third-party agency.

Citation formats

Data-related issues remained the most frequently cited barrier to AI adoption in financial services in 2025. In a 2025 industry survey, ** percent of respondents pointed to challenges such as privacy, sovereignty, and disparate data locations. Talent constraints ranked second, with ** percent citing a lack of AI experts and data scientists, while regulatory and ethical concerns came third at ** percent. The source also noted progress on data readiness: concerns around having sufficient data sizes for training and accuracy fell to ** percent in 2025, down from ** percent in 2024 and ** percent in 2023.