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Home » Is AI the new electric broker in finance?
AI in Finance

Is AI the new electric broker in finance?

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By Puja Sharma

Today

  • IA
  • AI financial services
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Artificial intelligence, AI, digital bank, banking modernization, Fintech, United Kingdom

The state of AI in financial services: 2025 trends reported by Nvidia Provides an in -depth analysis of how AI reshapes the financial sector. Based on a survey of 600 world professionals, the report highlights the growing dependence of industry essentially to improve efficiency, improve customer experiences, mitigate risks and optimize strategies of investment. A key to remember is that 98% of management respondents plan to increase the expenses of the AI ​​in 2025, reflecting the strategic importance of the AI. In particular, the generative adoption of AI has increased, with more than half of the respondents who already use it, up to 40% last year. Financial companies invest massively in AI infrastructure, in particular in IT platforms designed to process large amounts of data for advanced analysis and decision -making led by AI.

The adoption of AI in financial services has matured considerably, from early experimentation to large -scale deployment through various commercial functions. Data analysis remains the most used AI workload, helping fraud detection companies, to assess the risks and services to personalized customers. The generative AI quickly became the second most used AI application, companies taking it out for chatbots, generation of reports and trading automation. Beyond these applications, the AI ​​turns out to be a transformative in cybersecurity, where financial institutions are now using it to combat spear phishing, fraud and attacks of the supply chain. The advantages of AI also evolve – while operational efficiency remains crucial, companies are increasingly recognizing the capacity of AI to create competitive advantages, to improve employee productivity and to open new commercial opportunities .

The generative AI is at the forefront of this transformation, with important applications in customer engagement, optimization of exchanges, risk management and compliance. More than half of the respondents report by using a generative AI for customer service applications, such as chatbots and virtual assistants, which are becoming more and more sophisticated and capable of providing personalized financial advice. The use of a generative AI in the processing of documents experienced an adoption of 53%, allowing companies to automate Kyc Regulatory verification and conformity. In addition, the generation of synthetic data led by AI emerges as a powerful tool for financial institutions, allowing them to train fraud detection models without exposing sensitive customers.

AI also stimulates a substantial commercial impact, companies reporting both income growth and cost savings. Almost 70% of respondents indicated that AI increased income by at least 5% and 60% have declared similar reductions in annual costs. The investment in AI infrastructure is at a record level, companies focused on AI factories – IT platforms specializing in AI – to develop their AI initiatives. In addition, AI talented hiring is an absolute priority, with a 42% increase in Expertise in AI. While financial companies go beyond pilot projects, they optimize AI workflows and initiated third-party partners to accelerate adoption.

While challenges related to AI such as data confidentiality problems and budgetary constraints have decreased, energy efficiency is now a key concentration area. Financial companies are actively looking for means of reducing the energy consumption of AI workloads, with strategies such as software optimization, cloud adoption and more energy -efficient hardware like GPUs. For the future, the AI ​​agent is about to be the next major trend, allowing AI agents to manage complex tasks in a independent way such as detection of cybersecurity threats, customer service and ‘Analysis of real -time investments.

In the end, AI is no longer just an operational tool – it has become a strategic imperative for financial services. With growing investments, widened use cases and maturation infrastructure, AI should redefine how financial companies operate, compete and innovate in 2025 and beyond.

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OpenAI recruits more than 100 ex-investment bankers for training AI in financial modeling, according to a report.

October 21, 2025

Exploring Compliance Innovation: A Comprehensive Examination of AI in Financial Crime and Compliance Featuring Jason Somrak from Oracle and Thomas Fox, Compliance Advocate

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