A recent report by Nvidia reveals that, driven by clear returns on investment, almost all financial institutions are planning to increase or maintain their AI budgets, while the proliferation of open-source models and AI agents is further promoting the widespread application of AI.
The financial and banking industries are accelerating the deployment of artificial intelligence to prevent fraud and money laundering activities.
The NVIDIA State of AI in Financial Services: 2026 Trends Survey Report reveals that artificial intelligence has become a core technology for development in the financial services industry, automating the research and execution behind algorithmic trading, helping banks more accurately detect fraud and money laundering activities, while improving risk management practices and accelerating document processing.
Based on a survey of over 800 industry professionals, this report reveals an unprecedented level of AI adoption in the financial industry. Institutions are deploying and expanding AI applications across various scenarios, including fraud and money laundering detection, risk management, and customer service, to improve critical business functions and generate substantial returns on investment. New AI technologies, including AI agents, are streamlining various processes such as back-office operations and investment research, and financial institutions are actively adopting open-source foundational models and AI infrastructure.
The return on investment in artificial intelligence in the financial services sector is obvious.
Financial institutions have moved from piloting AI projects to deploying solutions that have a business impact and rolling them out across the organization. Businesses are also beginning to see significant returns on investment from AI in terms of revenue and profit.
The report shows that a remarkable 89% of respondents indicated that artificial intelligence (AI) helped them improve their return on investment, annual revenue, and reduce annual costs. The impact of AI was particularly significant for many organizations, with 64% of respondents reporting that it helped them increase annual revenue by more than 5%, of which 29% reported revenue growth exceeding 10%. Additionally, 61% of respondents reported that AI helped them reduce annual costs by more than 5%, with 25% reporting cost reductions exceeding 10%.
Artificial intelligence upgrades document processing and customer experience, leading to improved operational efficiency.
Respondents cited a range of AI applications that delivered ROI, including document processing and management, customer experience and interaction, algorithmic trading, and risk management. 52% of respondents believed that the biggest improvement brought by AI in the financial services sector was increased operational efficiency. 48% of respondents indicated that increased employee productivity was one of the most significant improvements.
Banks actively utilize open-source models to build customized development tools
Open-source models offer both flexibility and efficiency, enabling organizations to customize tools to meet their unique needs and improve accuracy by integrating proprietary data from financial institutions. In the report, 83% of respondents indicated that open source was crucial to their organization's AI strategy, and 43% considered it very important or extremely important.
Helen Yu, CEO of Tigon Advisory Corp., stated that open-source models are fundamentally changing the competitive landscape of financial AI. The real value lies in institutions using their proprietary transaction data, customer interaction history, and market intelligence to fine-tune these models, thereby creating AI capabilities that competitors cannot replicate.
Enterprises will continue to increase their expansion budgets for artificial intelligence.
From proof-of-concept to deploying AI applications in production environments, the financial services industry is seeking to significantly increase its AI budgets. Nearly 100% of respondents indicated their AI budgets for next year will either increase or remain unchanged. Approximately 41% said they will invest in optimizing AI workflows and production, as well as reinvesting in and improving existing AI solutions. More than a third (34%) of respondents said they are considering expanding AI applications within their organizations, focusing their spending on finding more use cases. Another 30% of respondents indicated their investments will be used to build or provide more AI infrastructure, such as on-premises or cloud deployments.
This article, "The NVIDIA AI Financial Trends Report Shows that Enterprises Can Achieve an 89% Return on Investment in Artificial Intelligence," first appeared on ABMedia .
