Artificial intelligence (AI) benchmarking and intelligence platform Evident launched its AI Use Case Tracker, a database of deployments within banking, which reveals that four banks – Goldman Sachs, J.P. Morgan, CommBank and ANZ – dominate the disclosure of AI use cases, between them driving 35% of all documented banking AI use cases.
More than 160 AI deployments across global banks
To date, Evident has tracked 167 AI use cases disclosed by 50 of the world’s largest banks across UK, Europe, North America and APAC, showing a clear shift: AI is no longer just an experiment – it is becoming more sophisticated, measurable, and embedded in core banking operations.
“Banks can no longer just claim AI adoption – they must prove real impact,” said Alexandra Mousavizadeh, co-founder and co-CEO of Evident, in a statement. “Measuring returns on AI investments remains a top priority for banks as they justify hundreds of millions of dollars in AI spending. Our Use Case Tracker brings transparency to this shift, showing how AI is moving from experimentation to delivering tangible value.”
Key findings:
- Efficiency is no longer the sole driver of AI investment. AI use cases focused on efficiency have dropped from 90% down to 50%, with banks increasingly prioritizing risk reduction (20%), customer satisfaction (15%) and income uplift (15%)
- Goldman Sachs – historically quieter on AI disclosures – has revealed three new AI use cases since November, including Legend AI Query, an AI tool to help Goldman employees search for information.
- This means the US giant joins J.P. Morgan, CommBank, and ANZ as industry frontrunners, between them driving 35% of all documented banking AI use cases.
Where AI is gaining traction across banking
Evident’s research shows that banks are embedding AI into multiple business areas, but at vastly different scales:
- Retail & personal banking represents 30% of all banking AI use cases, remaining the most AI-driven category largely thanks to the prevalence of quick wins like chatbots. BBVA is the latest bank to have leveled up their chatbots with generative AI, allowing customers to complete more complex tasks – e.g. cancelling a card – conversationally.
- IT & security is the second-largest category for AI investment at 14%, while investment banking ranks third at 10%, showing the big banks’ continued interest in AI expansion beyond customer-facing functions.
- Audit, HR, and operations combined make up 5% of all bank AI use cases. While still emerging – this demonstrates that AI is gradually being applied in wider business functions beyond traditional front-office deployments.
“Transparency around the AI progress being made signals confidence in its impact, and as more banks begin sharing their approaches and demonstrating where they’re seeing value, staying silent may soon become a bigger risk,” said Mousavizadeh in a statement.