Banking executives are shifting toward a future defined by hyper-personalization, automated processes, and data-driven decision making [1, 2].
This transition represents a fundamental change in how consumers interact with their finances. As banks move away from traditional models, the integration of artificial intelligence and data analytics aims to tailor financial services to individual user needs in real time.
Matías Martino, vice president of data and AI at Santander Chile, said this vision during an interview with TVN Chile presenter Carolina Urrejola [1]. The focus of this evolution is to transform the relationship between people and their money through technological integration [1]. By utilizing data, banks intend to create a more seamless experience where automation handles routine tasks, allowing for more precise financial guidance.
While the tools are digital, the shift involves a deeper organizational change. Franco Cinquegrana, the executive president of BBVA Uruguay, said the evolution is not merely about software or hardware [2].
"La mayor transformación de la banca en las últimas décadas ha sido cultural más que tecnológica," Cinquegrana said [2].
This cultural shift suggests that the internal mindset of financial institutions must evolve to support the agility required by new technologies. The goal is to balance high-tech automation with a human-centric approach to banking [2]. This balance ensures that while processes are streamlined by AI, the core of the banking relationship remains accessible, and personalized.
“The focus of this evolution is to transform the relationship between people and their money.”
The move toward hyper-personalization indicates that banks are transitioning from being passive repositories of wealth to active financial assistants. By prioritizing cultural change over simple tech adoption, institutions are attempting to avoid the 'cold' automation gap, ensuring that data-driven efficiency does not alienate customers who still value human trust in financial management.
