NVIDIA research reveals that 89% of financial institutions profit more from artificial intelligence

The integration of autonomous systems transforms the daily operations of the global financial market. The State of AI in Financial Services survey, conducted by NVIDIA, indicates that the technology has left the testing phase. Instituições banks and asset managers report a direct increase in annual revenue. Cutting operating costs accompanies the modernization movement.

The scenario reflects the need to process large volumes of data quickly. Executivos in the financial sector seek efficiency in a competitive economic environment. The Brasil follows the international trend with massive adoption on different fronts. Pesquisas sites confirm the presence of advanced algorithms in companies’ routines.

Levantamento global highlights accelerated growth in systems implementation

The NVIDIA report heard from more than 800 specialized professionals around the world. Data shows that 65% of companies actively use artificial intelligence. The number represents a significant jump compared to 45% in the previous edition. The market adopts a variety of tools to solve complex problems.

Generative artificial intelligence attracts the attention of 61% of the institutions consulted. Esses groups already apply or evaluate the technology in their internal processes. The research also mapped the use of systems based on autonomous agents. Cerca of 42% of companies work with this specific format. Desse total, 21% have fully deployed and functional agents.

The financial impacts justify investments in the technology sector. Aproximadamente 89% of respondents confirm that the tool increases revenue and reduces expenses simultaneously. Quase all executives foresee maintaining or increasing budgets for next year. The perception that innovation guarantees future success reaches 73% of the leaders interviewed.

Gestoras of resources in the Brazilian market leads the use of algorithms

The national scenario presents robust numbers of technological adoption. XP Investimentos carried out the first edition of the IA study on Gestão of Recursos. The survey mapped the practices of 71 Brazilian managers. Essas companies manage around R$5 trillion in assets. The amount is equivalent to half of the total assets of the fund industry in the country.

The presence of technology affects 97% of the managers consulted in the survey. The use goes beyond generating texts or images. Finance teams apply predictive models to anticipate market movements. Classification Sistemas organizes fragmented information. Algoritmos machine learning works directly in risk management and in the choice of assets to compose investment portfolios.

The distribution of tools occurs according to the operational needs of each management team:

• 80% use natural language processing to analyze complex text and financial reports.
• 70% apply technology to quickly categorize large databases.
• 63% base decisions on predictive models of market behavior.
• 63% operate with automated systems for monitoring and issuing risk alerts.
• 43% delegate portfolio optimization to advanced algorithms.

The development of internal solutions is gaining momentum among resource administrators. Companies combine different platforms to create unique systems. Customization meets regulatory requirements and specific profitability strategies.

Traditional Bancos record productivity gains with new tools

The Brazilian banking sector also shows strong adherence to new digital formats. Pesquisa Febraban of Tecnologia Bancária 2025 brings updated data on the topic. The study, conducted by Deloitte, reveals that 82% of banks on Brasil use generative artificial intelligence. Consolidation occurs in various departments of the institutions.

Results measurement shows an average increase of 11% in team productivity. The efficiency gains are concentrated in data analysis tasks and back-office operations. Customer service also absorbs part of the innovations implemented. Processes become more agile with automated demand triage.

Accuracy in strategic decisions improves with the support of algorithms. Marcio Aguiar, director of NVIDIA’s Enterprise division for América Latina, observes the phenomenon. The executive highlights that analyzes are more complete with the massive crossing of information. The risk of human error decreases in standardized procedures.

Segurança Data and Fraud Detection Drives Modernization

Protecting the financial system acts as one of the main drivers for technology adoption. Instituições deals with daily hacking attempts and transactional fraud. Artificial intelligence analyzes customer behavior patterns in real time. Blocking suspicious operations occurs in milliseconds.

Machine learning identifies anomalies that escape traditional security systems. Identity verification uses facial biometrics crossed with vast databases. Banks reduce financial losses resulting from electronic scams. Compliance with Banco Central rules requires continuous monitoring tools.

Credit analysis is also undergoing a profound overhaul with new algorithms. Cross-referencing alternative data makes it possible to assess the risk profile of consumers without a traditional banking history. Loan granting becomes faster and more accurate. Default rates tend to fall with improvements in approval criteria.

Infraestrutura computing requires ongoing hardware investments

The expansion of the use of artificial intelligence depends on powerful equipment. NVIDIA provides this accelerated computing infrastructure. The company began operations in 1993 and created the graphics processing unit in 1999. The current focus covers complete solutions for high-capacity data centers.

Processing complex models requires servers capable of performing trillions of calculations per second. The financial sector demands minimal latency in its daily operations. The speed of response defines the success of transactions in the capital market. The modernization of technology parks consumes a significant part of corporate budgets.

Banks’ strategic planning includes hiring specialized professionals. Cientistas data and software engineers take central positions in institutions. Open model training requires specific technical knowledge. Securely integrating tools into legacy systems represents the main technical challenge.

The digital transformation of the financial market is advancing in a structured manner. Executives prioritize measurable results at each implementation stage. Technology consolidates its position as a pillar of support for modern banking operations. The search for efficiency dictates the pace of updates in the coming years.