NVIDIA’s Report Reveals Finserv’s AI Revolution Underway

By Roy Urrico

In its sixth annual State of AI in Financial Services report, NVIDIA examined the impact of artificial intelligence (AI) on the industry, how it’s changing the way the sector operates, and how large and small organizations scale new capabilities. The study found organizations are deploying and scaling AI use cases, such as fraud detection, risk management and customer service, to advance vital business tasks that generate substantial return on investment (ROI).

“The AI revolution has just begun, but it’s already had a profound impact on financial institutions. From transforming algorithmic trading to accelerating document processing and analysis, from reimagining fraud detection with transformer-based payments foundation models to modernizing legacy code with coding agents, AI has been a major boon to the industry, providing new avenues for growth, productivity, and cost management,” reported the Santa Clara, Calif.-based Nvidia, which designs and manufactures graphics processing units (GPUs) and chips for sectors including financial services, data centers, gaming, professional visualization, and automotive applications.

Kevin Levitt, NVIDIA’s director of global business development for financial services.

The report found new types of AI — including AI agents — are streamlining processes ranging from back-office operations to investment research as credit unions, banks and other financial service organizations embrace the tools needed to build specialized AI, including open-source foundation models and software.

“AI has taken center stage in financial services, automating the research and execution behind algorithmic trading and helping banks more accurately detect fraud and money laundering — all while improving risk management practices and expediting document processing,” said Kevin Levitt, NVIDIA’s director of global business development for financial services, in a blog introducing the report.

Survey Overview

NVIDIA's AI survey gathered 839 respondents from August to September 2025 from a range of industry segments such as asset managers, asset owners, broker-dealers, consultancies, commercial and retail banking, fintech, investment banking, insurance, market data and exchanges, payments, and regulators.

The report examined how the use of generative AI in financial services has grown every year since its introduction to the market in 2022, with 61% of survey respondents saying they’re using or assessing it in 2025. “This evolution continues as interest shifts toward specific business use cases with clear return on investment, such as agentic AI,” the report stated.

The reason for this rapid adoption and investment in AI is clear, suggested NVIDIA's AI report. “Executives of leading institutions have publicly acknowledged the significant ROI, especially in the realms of operational efficiency and employee productivity. It’s no surprise then that nearly 100% of respondents confirm that their AI spending will increase or stay the same in 2026, with 44% saying it’ll rise by more than 10%.”

The Importance of Open Source and ROI

“Open-source models allow for flexibility and efficiency, enabling organizations to tailor development tools to their unique needs and make them more accurate by incorporating a financial institution’s proprietary data,” said Levitt. As a result, 83% percent of respondents said open source is important to their organization’s AI strategy, with 43% saying it is “very to extremely important.”

Financial institutions have moved beyond just piloting AI projects to deploying solutions that create business impact and scaling them across the organization. “In turn, companies have begun to see significant return on investment from AI on the top and bottom lines,” commented Levitt.

Almost 90% of survey respondents said AI has helped increase annual revenue and decrease annual costs. For many organizations, the impact has been significant, with 64% of respondents saying AI has helped increase annual revenue by more than 5% — including 29% who said revenue increased more than 10%. Similarly, 61% said AI had helped decrease annual costs by more than 5%, with 25% saying costs decreased more than 10%.

Respondents cited a long list of AI use cases that have provided significant ROI, including document processing and management, customer experience and engagement, algorithmic trading and risk management.

Other findings:

·         Seventy-three percent of executives said AI is crucial to their future success, and nearly 100% said their AI budgets will increase or stay the same in the next year.

·         Sixty-five percent of respondents said their organization is actively using AI, up from 45% in last year’s report.

·         Eighty-four percent said open-source models and software are important to their AI strategy.

·         Forty-two percent are using or assessing agentic AI, with 21% saying they’ve already deployed AI agents.