Goldman Sachs, JP Morgan, CommBank, and ANZ drive 35 per cent of all documented banking AI use cases, according AI benchmarking platform Evident.
The organisation’s AI Use Case Tracker revealed that Goldman Sachs and JP Morgan are the top two banks for the disclosure of AI use cases.
Evident said that while Goldman Sachs is "historically quieter on AI disclosures", it has revealed three new AI use cases since November, including Legend AI Query, an AI tool to help Goldman employees search for information.
The findings come after Evident tracked 167 AI use cases disclosed by 50 of the world’s largest banks across UK, Europe, North America and APAC.
"Banks can no longer just claim AI adoption - they must prove real impact," said Alexandra Mousavizadeh, co-founder and co-chief executive of Evident. "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.”
The research also finds that AI use cases that are focused on efficiency have dropped from 90 per cent down to 50 per cent, with banks increasingly prioritising risk reduction (20 per cent), customer satisfaction (15 per cent) and income uplift (15 per cent.)
According to the Tracker, retail and personal banking represents 30 per cent of all banking AI use cases, remaining the most AI-driven category "largely thanks to the prevalence of quick wins like chatbots."
IT and security is the second-largest category for AI investment at 14 per cent, while investment banking ranks third at 10 per cent.
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