NVIDIA: Financial Firms Double Down on AI Investment
Banks, asset managers, payments firms and insurers are transforming their operations through artificial intelligence, according to new research from NVIDIA.
The technology firm's survey of 600 global financial services professionals reveals generative AI adoption has increased from 40% to 52% in the past year, with half of management respondents having already deployed their first service.
Infrastructure and Returns
Institutions are building centralised 'AI factories' - dedicated computing platforms that process large datasets to create new content and models.
The results are significant, with 69% of respondents reporting revenue increases of 5% or more. Within this group, 29% saw 5-10% growth, 16% achieved 10-20% and 23% reported increases above 20%.
PayPal exemplifies this trend, reporting a 70% reduction in cloud costs and a 35% decrease in runtime after updating its AI infrastructure.
“Accelerated computing is revolutionising financial services by enabling faster, personalised customer experiences driven by big data insights,” says Rutger van Faassen, Founder and CEO of Informationbanker.
The sector's commitment to AI continues to grow, with 98% of management indicating plans to increase infrastructure spending in 2025.
This investment extends beyond technology, with 42% of firms increasing AI specialist recruitment, 34% engaging third-party partners, and 25% investing in staff training.
Companies cite operational efficiencies (37%), competitive advantage (32%), and improved customer experience (26%) among their primary benefits.
Emerging Use Cases
The financial services sector is seeing a shift in how AI is deployed across different functions. Data analytics leads adoption at 57%, followed by generative AI at 52%.
Predictive analytics has reached 39%, while large language models and conversational AI stand at 32% and 47% respectively.
While customer experience implementations have doubled year-over-year, the focus on identifying new AI use cases has declined by 23%.
In terms of return on investment, trading and portfolio optimisation leads with 25% of respondents citing it as their top performer, followed by customer experience applications at 21%.
Report generation and document processing each account for 11% of highest-returning implementations.
Financial institutions are leveraging AI to strengthen their core operations, from improving identity verification for anti-money laundering to reducing false positives in transaction monitoring.
Document processing has reached 53% adoption, synthetic data generation has grown from 25% to 46%, and code assistance tools have achieved 44% adoption in their first year.
Risk and Governance
Cybersecurity has emerged as the fastest-growing AI application.
Fraud detection leads implementations at 34%, followed by credential and identity attack prevention at 25%.
Zero-trust security implementations stand at 18%, while AI-powered defenses against spear phishing have more than doubled to 17%.
Supply chain attack prevention and Distributed Denial of Service protection have seen similar growth.
The sector's AI maturity is reflected in declining implementation challenges.
Fewer firms report data issues and privacy concerns, down from 49% to 33%, while those citing insufficient data for model training fell from 49% to 31%.
Recruitment difficulties have decreased from 31% to 15%.
Sustainability and Efficiency
Environmental considerations are reshaping AI strategy, with companies with AI-driven environmental, social, and governance (ESG) initiatives more than doubling from 13% to 32%.
However, this brings new challenges - 33% of firms struggle with energy-efficient computing costs and 29% face difficulties measuring workload-specific energy consumption.
Companies are responding by optimising software and adopting energy-efficient hardware.
The STAC-A2 benchmark, designed to measure market risk analysis performance, shows NVIDIA GPUs performing 16 times faster and three times more energy efficiently than CPU-only systems.
This focus on responsible deployment has driven a significant increase in governance frameworks, with the percentage of companies launching pilot systems rising from 21% to 36%.
These structures support the development of hundreds of AI-enabled applications, from automated document management to new trading strategies for improved market returns.
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