In this episode of Let’s Talk Evolution, Jonathan Chan, Global Co-Head of AI and Data Innovation at Julius Baer, shares deep insights into how financial institutions can move beyond experimental AI projects toward scalable, enterprise-wide adoption. He explains why companies must evolve from an “AI by business case” mindset to an “AI by conviction” approach, treating artificial intelligence as a core enabler of future growth rather than a collection of small projects.

Jonathan discusses the essential skill sets that drive successful AI implementation, including AI engineering, data science, product design, and strong governance. He also emphasizes the growing importance of understanding ethics and regulatory compliance in a highly regulated sector like finance. According to Jonathan, organizations that can blend technical expertise with business knowledge will have a clear advantage as AI becomes an everyday utility, similar to Excel, while true competitive power will lie in applied AI systems that generate unique business value.

This episode provides a balanced perspective on AI adoption, combining optimism about innovation with a realistic view of the cultural, strategic, and operational challenges financial services must overcome to achieve sustainable transformation.