Capitalizing on Growth: Why Financial Services Firms Need a Unified AI Strategy
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New Infosys and HFS Research Report underscores how AI is the new transformation lever for BFS enterprises

The new report titled "Why, What, and How Financial Services firms can be AI-First," conducted in collaboration with HFS Research, underscored the critical gap at many BFS firms between AI initiatives and overarching business objectives. A cohesive, global enterprise-wide AI strategy, however, ensures that AI investments directly contribute to revenue growth, cost optimization, and enhanced stakeholder value.
The study, which sampled 505 global banking and financial services leaders, found that despite BFS enterprises being heavily invested in AI, they need to better assess, adopt, and apply AI in strategically meaningful ways. Without a strategic alignment of AI in the broader business strategy, AI efforts are fragmented across individual business lines and geographic silos. To maximize enterprise-wide value, a top-down strategic framework with clear and purposeful guidance from C-suite leadership, coupled with bottom-up execution driven by domain experts within each business function, is essential. This integrated approach capitalizes on the burgeoning AI opportunity for BFS firms and ensures that its deployment consistently advances the enterprise's strategic priorities.
Key data highlights include:
- Only 12 percent of BFS firms have a global, enterprise-wide AI strategy, with roughly a third (34 percent) having an AI strategy defined by lines of business at the country or regional level.
- The top AI objective for nearly two-thirds (65 percent) of banking and financial services (BFS) enterprises is to boost bottom-line productivity.
- BFS firm's AI budgets are expected to increase 25 percent in 2025, commanding 16 percent of total tech budgets. Return on investment (ROI) expectations are set at two years and the average tenure of formal AI programs within firms is 2.6 years.
- The top three initiatives in BFS firms current AI budgets are data modernization to support AI (58 percent), technology licensing of gen AI software (53 percent) and AI model development and management (40 percent).
- The top three challenges to AI success – data quality and access, security and privacy, and talent – are exacerbated by the fact that only 23 percent of BFS enterprises have mature AI governance and risk management practices, which hinder their ability to effectively address these critical issues.
About Infosys
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Visit www.infosys.com to see how Infosys (NSE: INFY) (BSE: INFY) (NYSE: INFY) can help your enterprise navigate your next.
Safe Harbor
Certain statements in this release concerning our future growth prospects, or our future financial or operating performance, are forward-looking statements intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results or outcomes to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding the execution of our business strategy, increased competition for talent, our ability to attract and retain personnel, increase in wages, investments to reskill our employees, our ability to effectively implement a hybrid work model, economic uncertainties and geo-political situations, technological disruptions and innovations such as Generative AI, the complex and evolving regulatory landscape including immigration regulation changes, our ESG vision, our capital allocation policy and expectations concerning our market position, future operations, margins, profitability, liquidity, capital resources, our corporate actions including acquisitions, and cybersecurity matters. Important factors that may cause actual results or outcomes to differ from those implied by the forward-looking statements are discussed in more detail in our US Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended
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SOURCE Infosys
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