- Technology
Operations, CX and risk: How AI will transform banking and capital markets in 2025 and beyond
- AI has become an intrinsic part of how businesses operate.
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Artificial intelligence (AI) is fundamentally reshaping how businesses operate — and this is especially true in banking and capital markets (BCM) as institutions embrace its transformative potential to improve operations, elevate customer experience and better manage risk. Once seen as an experimental innovation, AI has become a critical enabler of growth and competitiveness in a rapidly evolving landscape.
Industry leaders now face a pivotal decision: Integrate AI into core business strategies or risk being left behind.
AI has become an intrinsic part of how businesses operate. PwC’s Pulse Survey found nearly half (49%) of technology leaders report AI is fully integrated into their core strategies, driving automation, real-time insights and hyper-personalized services. This integration is no longer a luxury; it’s a strategic imperative.
AI agents — digital tools capable of performing complex tasks like fraud detection, risk analysis and customer service — are doubling workforce capacity in many BCM firms. By automating routine processes, these agents enable human workers to focus on higher-value tasks, such as innovation and customer relationship management. For example, AI-powered tools can streamline processes, generate insights for advisors, and monitor transactions for compliance — all in real-time. This collaboration between human experience and AI-driven efficiency is setting new benchmarks for operational excellence across the industry.
Data is the foundation of AI’s success, and in 2025, its effective use will likely distinguish industry leaders. AI thrives on large, high-quality datasets to predict customer needs, assess risk and deliver personalized services. However, many institutions still struggle with unstructured or siloed data.
To unlock AI’s overall potential, banks should modernize their data infrastructures and build access to clean, secure data—this includes adopting governance frameworks that enhance data usability without compromising security. Also, open banking initiatives offer opportunities to collaborate with external stakeholders, creating innovative products and expanding customer reach. Institutions that prioritize data modernization can gain an edge in delivering value and responding to shifting market dynamics.
AI is transforming risk management by enabling real-time analysis of massive datasets to detect fraud, monitor risk and monitor market conditions. These capabilities allow banks to make faster, more precise decisions, reducing losses and enhancing regulatory compliance.
For example, AI tools can detect anomalies in transactions and identify potential fraud before it impacts customers. Additionally, AI can help assess credit risk more holistically by combining economic data with customer profiles and improving credit risk management practices. By automating compliance processes such as report generation and regulatory reviews, banks can allocate resources more strategically while reducing the risk of non-compliance.
AI is driving a new era of hyper-personalization in banking. Advanced analytics allow banks to tailor their services to individual customers, providing bespoke financial advice, dynamic pricing for loans and customized product offerings. This personalized approach not only boosts customer satisfaction but also builds loyalty in an increasingly competitive market.
AI-powered chatbots and virtual assistants are helping to improve customer service by providing instant, reliable responses to queries. For complex needs, AI equips human advisors with detailed insights, allowing them to deliver exceptional service. This blend of AI and human knowledge makes customer interactions both effective and meaningful.
AI’s ability to automate repetitive processes can drive significant cost savings and operational efficiency across BCM firms. Tasks like document processing, fraud detection and internal audits can now be completed faster and with greater accuracy, allowing institutions to focus on strategic priorities.
Scenario planning has also improved with AI-driven predictive insights, helping banks manage liquidity, improve deposit costs and allocate capital more effectively. And as competition intensifies, these efficiencies are critical for maintaining profitability and staying ahead of the curve.
Thriving in today’s environment requires leaders to adjust their strategies, embrace shifting work dynamics, and build trust. Their approach should be guided by three key principles:
Speed matters more: AI can accelerate the business flywheel, including the speed of insights, decision-making, capability building and organizational change.
Scale matters less: AI may have a muting effect on scale as a differentiating strategy. New disruptors entering sectors can use AI to mimic scaled capabilities characteristic of mature businesses.
Innovation matters most: During this period of disruption, tech innovation of many shapes and sizes will likely reign supreme. To keep pace with this change, companies should harvest a breadth of opportunities.
To capitalize on AI’s potential, BCM leaders should take a proactive approach, with key priorities including:
Modernizing data infrastructure: Clean, accessible, and secure data is essential for AI’s success. Firms should prioritize investments in data modernization and governance frameworks to unlock the overall value of their AI initiatives.
Infusing AI in business strategy: With AI becoming increasingly powerful and reliable, businesses should begin embedding it into their operational fabric. If they don’t, their competitors who do may establish lasting advantages.
Upskilling the workforce: As AI becomes a fundamental part of operations, employees should have new skills to manage and deploy these technologies. Upskilling programs and targeted recruitment of AI talent can guarantee teams are equipped to lead this transformation.
Implementing responsible AI frameworks: Trust in AI is more critical than ever. Firms should develop AI frameworks that confirm the tools and processes the tech is being built on prioritize customer privacy, data security, and compliance with evolving regulations. Beyond regulatory compliance, responsible AI also fosters a culture of trust by aligning AI initiatives with organizational values and workforce transparency.
AI is no longer optional in the BCM industry; it’s now the cornerstone of long-term success. Institutions that embrace its transformative power can unlock unparalleled opportunities for growth, innovation, and efficiency. By modernizing data, upskilling talent and embedding AI into their strategy, firms can be better suited to deliver superior customer experiences, enhance compliance and strengthen their competitive positions.
The future is AI-powered, and the time to act is now. 2025 marks a turning point for the BCM industry, and the businesses that act boldly and strategically in leveraging AI to redefine what’s possible can lead the way.
Peter Pollini is U.S. Financial Services Leader at PwC.
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