In today's rapidly evolving financial landscape, artificial intelligence (AI) is not just a tool for efficiency, it is a transformative force reshaping the fabric of financial operations and roles within them. In a recent DigFin podcast, Chris Perry, president of Broadridge, joins host Jame DiBiasio to discuss how agentic AI is transforming capital markets—both globally and specifically in the APAC region.
The AI Jump, From Generative to Agentic Systems
AI has undergone significant advancements, evolving from basic generative models to sophisticated, agent-driven systems capable of autonomous problem solving. This will one day be like the gradual adoption of self-driving cars. Just as these vehicles represent a monumental shift in how we conceive transportation, agent-driven AI represents a groundbreaking transformation in the financial sector. The advanced systems that power self-driving cars are not just about getting from point A to point B; they require a complex network of sensory data inputs, real-time decision-making algorithms, and seamless integration into existing traffic systems. Similarly, the financial industry must adapt its ‘infrastructure’—its operational processes, regulatory frameworks, and technological capacities—to harness the full potential of agentic AI.
This transition is set to revolutionize operations in capital markets, asset management, wealth management, and investor communications. Just as self-driving cars promise to reduce human error and improve traffic flow, agent-driven AI systems aim to minimize manual intervention and enhance decision-making in financial operations. In fact, our 2025 Digital Transformation & Next-Gen Technology Study reveals that more firms are recognizing the need to be at the forefront of this shift, with 84% of APAC firms making moderate to large investments in AI with the global average slightly lower at 80%.
Redefining Roles: Preparing the Workforce for AI
AI has evolved from basic generative models to sophisticated, agent-driven systems capable of autonomous problem solving. This progression is a transformative shift, not only in technology itself but also in its application within financial markets, asset management, wealth management, and investor communications. We now have this move from generative AI to where we can actually solve problems in real-time through this agentic kind of concept. The revolutionary potential of agentic AI is parallel to the transition from older to newer programming languages, such as COBOL to Python, financial institutions must embrace modern AI technologies to remain competitive.
This transition is set to transform operations by moving beyond the automation of repetitive tasks, empowering financial institutions to enhance strategic decision-making and operational efficiency. Today's technology holds the potential to reshape the landscape, just as past innovations have done. The powerful synergy of agentic AI and quantum computing are key drivers of unprecedented speed and capability in tackling complex business challenges. Much like how ride-sharing platforms have leveraged computing power to provide real-time, data-driven insights and convenience, AI is disrupting traditional financial models to enhance service delivery.
With more complex AI systems on the horizon, an advanced workforce is essential. The Broadridge survey indicates that 49% of APAC firms feel pressure to adopt generative AI tools, a figure higher than the global average at 40%. This highlights the urgent need for financial institutions to invest in training and development programs to equip their employees with the necessary skills to leverage AI effectively.
Balancing Innovation and Risk: Maintaining Trust
While AI offers immense potential for enhancing efficiency and strategic capability, it introduces new challenges in risk management and trust. The importance of maintaining trust amidst rapid technological transformation is imperative. Cyber risk is an existential risk for humanity, not just financial services. The financial sector must address these challenges by implementing robust AI-driven cybersecurity measures to protect against emerging threats.
According to the Broadridge study, 56% of APAC firms are grappling with operational resiliency challenges, notably higher than the global average at 40%, underlining the pressing need for resilient infrastructures. AI can constantly monitor and manage risks in real-time to ensure business continuity and client trust, proving the necessity of AI in de-risking business operations. The concept of balancing innovation with safety, emphasizing the importance of transparent governance and ethical guidelines needs to be underscored. As institutions integrate AI into their operations, they must navigate these complexities carefully, ensuring that innovation does not outpace the mechanisms in place to safeguard against potential threats. This balance will be essential in maintaining trust as the industry continues to evolve and embrace AI-driven advancements.
As AI continues to transform the financial sector, its impact will be both profound and far-reaching. By adopting the right strategies, preparing their workforce, and ensuring trust and transparency, financial firms can harness AI's potential to drive significant innovation and growth. While the journey ahead may be complex, the opportunities presented by AI are vast and promising. Firms that approach this change with foresight and agility will be well-positioned to lead in the new era of finance.