As the financial world undergoes a profound technological shift, artificial intelligence (AI), digitalisation and tokenisation are not just buzzwords—they’re reshaping the industry. These tools promise greater efficiency, broader access and transformative business models, but they also bring risks. At the Global Financial Leaders’ Summit in Hong Kong, prominent voices from the finance sector weighed in on the opportunities and challenges presented by these innovations.
Transforming decisions and risk management
AI is increasingly central to financial operations. It powers portfolio management, fraud detection, and trading algorithms. For an industry that thrives on data, the potential of AI seems limitless. But with this promise comes new challenges, from ethical concerns to cybersecurity risks.
“The ability to analyse data at scale has transformed portfolio management,” said Mike Gitlin of Capital Group. According to Bloomberg Intelligence, AI’s data-crunching capabilities have already revolutionised quantitative investment strategies, which now manage over $1 trillion globally. These systems identify patterns that human analysts might miss, enabling firms to react faster to market changes.
AI is also proving essential in combating fraud. JPMorgan Chase’s Daniel Pinto highlighted its integration into the bank’s risk management systems. “It enables us to identify fraud patterns in real-time,” he explained. This focus on security comes at a time when financial institutions are facing an unprecedented surge in cyberattacks. Cybersecurity Ventures predicts global cybercrime costs will hit $10.5 trillion annually by 2025, underscoring the urgency for robust defences.
However, Jenny Johnson of Franklin Templeton warned about AI’s risks. “AI is a double-edged sword. While it enhances efficiency, it also introduces new risks, particularly around bias and data security,” she said. This concern is reflected in recent regulatory scrutiny. The European Union’s AI Act, which aims to mitigate potential harms, is set to become one of the most comprehensive frameworks for AI governance globally.
Access and efficiency
Digitalisation has already redefined how financial services are delivered, lowering barriers to entry for retail investors and streamlining back-office operations for institutions. But it’s not without hurdles, especially in navigating fragmented regulatory landscapes.
“Through digital platforms, we’ve made investing more accessible to a broader audience,” said Johnson. According to McKinsey, the rise of robo-advisors and low-cost trading apps like Robinhood has democratised finance, increasing retail investor participation by 35% over the past decade. Yet, this accessibility also brings challenges, including the risk of speculative bubbles fueled by inexperienced investors.
For firms like Capital Group, digitalisation isn’t just client-facing. “It’s about transforming internal processes to reduce costs and improve scalability,” Gitlin said. Many financial institutions are now using automation and cloud computing to eliminate inefficiencies, saving billions annually.
Citadel Securities’ Peng Zhao pointed out another critical aspect—compliance. “As we digitise, ensuring compliance with a fragmented global regulatory landscape becomes even more complex. Collaboration between regulators and firms is critical,” he said. This aligns with calls from the Financial Stability Board for greater harmonisation of rules governing digital finance, which remain inconsistent across jurisdictions.
Bridging traditional and decentralised finance
While cryptocurrencies have faced a turbulent year, the underlying blockchain technology is finding applications in tokenising traditional assets. Tokenisation promises to unlock liquidity and reduce settlement times, but regulatory uncertainty continues to hinder its broader adoption.
“Crypto assets have yet to prove themselves as a stable asset class, but the underlying blockchain technology has transformative potential, particularly in tokenisation,” Pinto said. JPMorgan’s experiments with tokenised transactions have demonstrated its efficiency, cutting down settlement times from days to seconds.
Johnson sees tokenisation as a game-changer for private markets. “Tokenisation can make private assets more liquid, opening them up to a broader investor base,” she said. This is an opinion echoed by industry analysts. The World Economic Forum projects that tokenised assets could represent 10% of global GDP by 2030.
“By tokenising assets, we can reduce settlement times and operational risks, which are critical in ensuring market stability,” Zhao noted. Citadel Securities has explored blockchain technology for streamlining securities trading, part of a broader industry push to modernise clearing and settlement systems.
Emerging technologies
As the adoption of AI and digitalisation accelerates, ethical concerns loom large. Bias in algorithms, data privacy and systemic risks require urgent attention. The challenge is creating a framework that fosters innovation while protecting stakeholders.
“AI governance must be prioritised. Without clear guidelines, we risk eroding trust in these systems,” said Johnson. This sentiment is gaining traction globally, with regulators pushing for stricter oversight. The US has also introduced AI risk management frameworks, signalling a broader effort to address these issues.
Cybersecurity is another pressing concern. “As we digitise, we must invest in cybersecurity to protect client data and maintain trust,” Pinto said. Financial institutions have been frequent targets of ransomware attacks, with losses surging over the past three years. According to a 2024 report from the World Economic Forum, 80% of financial firms experienced at least one significant cyber incident this year.
Balancing innovation with regulation
As these technologies blur the lines between traditional and decentralised finance, regulatory frameworks must evolve. The financial industry is navigating an uneven regulatory landscape, where rules vary significantly between regions.
“Regulators and institutions must work together to create standards that promote innovation while ensuring market stability,” Zhao said. Recent developments in the UK, where regulators are introducing guidelines for tokenised securities, exemplify how policy can balance innovation with oversight.
Gitlin called for a balanced approach. “We must embrace innovation but remain vigilant about its risks. Technology should enhance stability, not create new vulnerabilities,” he said. This approach reflects the broader industry sentiment, which views collaboration between stakeholders as essential to managing the transition effectively.
The road ahead
As AI, digitalisation and tokenisation reshape the financial industry, their potential to unlock efficiency and innovation is undeniable. However, the road to fully integrating these technologies is fraught with challenges. Ethical dilemmas, cybersecurity threats and fragmented regulations are critical barriers that must be addressed.
“The future of finance lies in balancing innovation with responsibility,” Pinto said. His view captures the essence of the summit’s discussion: it’s not just about adopting new technologies but ensuring they are deployed in ways that create value and maintain trust.
The year 2024 has shown the transformative power of these advancements, but it has also highlighted the risks of moving too fast. As the financial industry looks ahead, the focus will remain on building systems that are not only innovative but also resilient and equitable.
