Capitalizing on Growth: Why Financial Services Firms Need a Unified AI Strategy
Infosys (NYSE: INFY) and HFS Research's new study reveals a significant gap in AI strategy implementation among banking and financial services (BFS) firms. While 66% of BFS enterprises have updated their AI strategy due to generative AI, a striking 88% lack a comprehensive enterprise-wide approach.
The study, sampling 505 global BFS leaders, highlights that only 12% have implemented a global AI strategy, with 34% defining strategies at regional levels. Key findings include: AI budgets expected to increase 25% in 2025, representing 16% of total tech budgets; ROI expectations set at 2 years; and average AI program tenure of 2.6 years.
Top AI initiatives focus on data modernization (58%), gen AI software licensing (53%), and AI model development (40%). Major challenges include data quality, security, and talent shortage, compounded by only 23% of firms having mature AI governance practices. The primary objective for 65% of BFS enterprises is improving bottom-line productivity.
Infosys (NYSE: INFY) e il nuovo studio di HFS Research rivelano un significativo divario nell'implementazione della strategia AI tra le aziende del settore bancario e dei servizi finanziari (BFS). Mentre il 66% delle imprese BFS ha aggiornato la propria strategia AI a causa dell'AI generativa, un sorprendente 88% non possiede un approccio globale e completo a livello aziendale.
Lo studio, che ha coinvolto 505 leader globali del BFS, evidenzia che solo il 12% ha implementato una strategia AI globale, mentre il 34% definisce strategie a livello regionale. Risultati chiave includono: si prevede che i budget per l'AI aumenteranno del 25% nel 2025, rappresentando il 16% del budget totale per la tecnologia; le aspettative di ROI sono fissate a 2 anni; e la durata media dei programmi AI è di 2,6 anni.
Le principali iniziative AI si concentrano su modernizzazione dei dati (58%), licenze software per AI generativa (53%) e sviluppo di modelli AI (40%). Le principali sfide includono la qualità dei dati, la sicurezza e la carenza di talenti, aggravate dal fatto che solo il 23% delle aziende ha pratiche di governance AI mature. L'obiettivo principale per il 65% delle imprese BFS è migliorare la produttività finale.
Infosys (NYSE: INFY) y el nuevo estudio de HFS Research revelan una brecha significativa en la implementación de estrategias de IA entre las empresas de banca y servicios financieros (BFS). Mientras que el 66% de las empresas BFS ha actualizado su estrategia de IA debido a la IA generativa, un sorprendente 88% carece de un enfoque integral a nivel empresarial.
El estudio, que muestra una muestra de 505 líderes globales de BFS, destaca que solo el 12% ha implementado una estrategia de IA global, mientras que el 34% define estrategias a niveles regionales. Hallazgos clave incluyen: se espera que los presupuestos de IA aumenten un 25% en 2025, representando el 16% del total de presupuestos tecnológicos; las expectativas de ROI se establecen en 2 años; y la duración promedio de los programas de IA es de 2.6 años.
Las principales iniciativas de IA se centran en modernización de datos (58%), licencias de software de IA generativa (53%) y desarrollo de modelos de IA (40%). Los principales desafíos incluyen la calidad de los datos, la seguridad y la escasez de talento, agravados por el hecho de que solo el 23% de las empresas tiene prácticas de gobernanza de IA maduras. El objetivo principal para el 65% de las empresas BFS es mejorar la productividad final.
인포시스 (NYSE: INFY)와 HFS 리서치의 새로운 연구는 은행 및 금융 서비스(BFS) 기업 간의 AI 전략 구현에 상당한 격차가 있음을 드러냅니다. BFS 기업의 66%가 생성적 AI로 인해 AI 전략을 업데이트했지만, 놀랍게도 88%가 포괄적인 기업 전체 접근 방식을 결여하고 있습니다.
505명의 글로벌 BFS 리더를 샘플링한 이 연구는 단지 12%만이 글로벌 AI 전략을 구현했으며, 34%는 지역 수준에서 전략을 정의하고 있다고 강조합니다. 주요 발견에는 2025년 AI 예산이 25% 증가할 것으로 예상되며, 이는 총 기술 예산의 16%를 차지하고; ROI 기대치는 2년으로 설정되어 있으며; 평균 AI 프로그램 기간은 2.6년입니다.
최고 AI 이니셔티브는 데이터 현대화 (58%), 생성 AI 소프트웨어 라이센스 (53%), AI 모델 개발 (40%)에 중점을 둡니다. 주요 도전 과제는 데이터 품질, 보안 및 인재 부족을 포함하며, 기업의 23%만이 성숙한 AI 거버넌스 관행을 갖추고 있습니다. BFS 기업의 65%의 주요 목표는 최종 생산성을 향상하는 것입니다.
Infosys (NYSE: INFY) et la nouvelle étude de HFS Research révèlent un écart significatif dans la mise en œuvre des stratégies d'IA parmi les entreprises de banque et de services financiers (BFS). Bien que 66% des entreprises BFS aient mis à jour leur stratégie d'IA en raison de l'IA générative, un étonnant 88% n'ont pas d'approche complète à l'échelle de l'entreprise.
L'étude, qui a échantillonné 505 leaders BFS mondiaux, souligne que seulement 12% ont mis en œuvre une stratégie d'IA globale, tandis que 34% définissent des stratégies à des niveaux régionaux. Résultats clés incluent : les budgets pour l'IA devraient augmenter de 25% en 2025, représentant 16% du budget technologique total ; les attentes en matière de ROI sont fixées à 2 ans ; et la durée moyenne des programmes d'IA est de 2,6 ans.
Les principales initiatives en matière d'IA se concentrent sur la modernisation des données (58%), la licence de logiciels d'IA générative (53%) et le développement de modèles d'IA (40%). Les principaux défis incluent la qualité des données, la sécurité et la pénurie de talents, aggravés par le fait que seulement 23% des entreprises disposent de pratiques de gouvernance en matière d'IA matures. L'objectif principal pour 65% des entreprises BFS est d'améliorer la productivité.
Infosys (NYSE: INFY) und die neue Studie von HFS Research zeigen eine signifikante Lücke in der Umsetzung von KI-Strategien bei Banken und Finanzdienstleistern (BFS). Während 66% der BFS-Unternehmen ihre KI-Strategie aufgrund von generativer KI aktualisiert haben, fehlt es bemerkenswerten 88% an einem umfassenden unternehmensweiten Ansatz.
Die Studie, die 505 globale BFS-Führungskräfte befragt hat, hebt hervor, dass nur 12% eine globale KI-Strategie implementiert haben, während 34% Strategien auf regionaler Ebene definieren. Wichtige Erkenntnisse umfassen: Die Budgets für KI werden 2025 voraussichtlich um 25% steigen, was 16% des gesamten Technologie-Budgets ausmacht; die ROI-Erwartungen sind auf 2 Jahre festgelegt; und die durchschnittliche Laufzeit von KI-Programmen beträgt 2,6 Jahre.
Die wichtigsten KI-Initiativen konzentrieren sich auf Datenmodernisierung (58%), Lizenzierung von generativer KI-Software (53%) und Entwicklung von KI-Modellen (40%). Zu den größten Herausforderungen gehören Datenqualität, Sicherheit und Fachkräftemangel, verschärft durch die Tatsache, dass nur 23% der Unternehmen über ausgereifte KI-Governance-Praktiken verfügen. Das Hauptziel für 65% der BFS-Unternehmen ist die Verbesserung der Produktivität.
- AI budgets projected to grow 25% in 2025
- Clear ROI expectations set at 2 years
- 58% of firms investing in data modernization for AI
- 88% of firms lack comprehensive AI strategy
- Only 23% have mature AI governance practices
- Significant challenges in data quality, security, and talent acquisition
New Infosys and HFS Research Report underscores how AI is the new transformation lever for BFS enterprises
BENGALURU,
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.
Phil Fersht, Chief Executive Officer and Chief Analyst, HFS Research, said, "The path to being AI-First is paved with various challenges. While many foundational needs are being addressed in the current funding and investment cycle, BFS leaders must also consider AI governance and AI talent to enable true scale. AI governance needs to be defined as part of enterprise-wide AI strategy and supported across functions."
Dennis Gada, EVP and Global Head of Banking and Financial Services, Infosys, said, "To unlock the full potential of AI, leadership teams must remove roadblocks through strong AI governance practices – an area that is underdeveloped for more than 75 percent of banking and financial services firms. At Infosys, we help clients solve for this issue by developing enterprise-wide AI governance frameworks that enable firms to operate at scale across a myriad of functions. The future of work is AI-first and similarly, their talent strategies should make every employee part of the AI-driven future."
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.
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