There are certain moments in history when technology doesn’t just improve industries, it reshapes the future of entire nations. According to futurist and business strategist Ross Dawson, Nepal may be standing at exactly that kind of moment today.
At the Bankers’ Meetup 2026, Dawson delivered a keynote that talked about artificial intelligence and beyond. His message was ultimately about people, progress, trust, and the choices leaders make during times of transformation.
In many ways, Nepal has the opportunity to move faster than larger economies that are still trapped inside outdated systems and legacy infrastructure. His keynote speech wasn’t about fear of AI replacing humans. It was a call to imagine what becomes possible when humans and AI work together.
The Year 2026
The year 2026 is positioned as a critical turning point in the evolution of finance and technology. According to Dawson, human knowledge is expanding at an exponential rate, and the rise of Generative AI has significantly accelerated what individuals and organizations are capable of achieving.
In this new environment, AI is best understood not as a replacement for human intelligence, but as an amplifier of it. Its role is to extend human intent, enabling faster analysis, deeper insights, and broader execution of ideas. Modern AI systems are already reaching or surpassing expert-level performance in several specialized fields, including areas traditionally dominated by PhD-level researchers. This development is shifting the focus of discussion away from what AI can do, toward a more important question: how humans choose to use these capabilities responsibly and meaningfully.
Nepal’s Leapfrog Potential
Nepal holds a rare opportunity to bypass the constraints of legacy financial systems that have slowed transformation in many developed economies. With mobile transactions growing by around 30% annually and QR payments becoming increasingly common, the country already has a strong foundation for a modern digital banking ecosystem. However, the real shift lies ahead, moving beyond simple digital adoption toward building truly AI-native financial institutions that are designed for intelligence, adaptability, and scale from the ground up.
At the same time, with a significant portion of the population still outside the formal financial system, there is a powerful opportunity to drive deeper financial inclusion through smart, accessible, and human-centered technology.
The Shift to "Knowledge-Based" Relationships
The future of banking is gradually moving away from treating financial services as simple transaction utilities and toward building deeper, knowledge-based relationships with customers. Instead of only processing payments or offering standard services, banks are expected to guide customers in navigating increasingly complex financial decisions, much like helping them surf changing financial conditions rather than just providing instructions.
Imagine opening a banking app, and instead of just seeing a list of recent transactions, you are greeted by an active financial coach. This is the model pioneering institutions globally are moving toward. Instead of passive storage for money, the modern banking platform leverages AI to analyze a user’s financial habits, visually map out their future goals like buying a home or launching a business and provide subtle behavioral "nudges" to help them get there.
The Human-AI Sandwich
As organizations adapt to AI, the key challenge lies in designing effective collaboration between humans and machines. One practical model described by Ross Dawson was the “AI Sandwich.” In this structure, a human defines the objective, AI generates an initial output, and the human then reviews and refines the result. This approach balances efficiency with oversight and judgment.
Another model is the “human-in-the-loop” framework, where AI handles the majority of execution while humans step in at critical checkpoints to provide guidance, approval, or contextual understanding. Beyond these models, organizations are increasingly required to define “decision architectures.” These frameworks determine the level of autonomy granted to AI systems, ranging from basic supportive tools to advanced systems capable of operating with strategic independence under human supervision.
Leadership Choices: What Will Make Your Institution Different?
As the Bankers’ Meetup came to a close, one message stood out clearly: AI and technology are not making financial institutions look the same, they are making them more unique. With so many new possibilities emerging, leadership teams now have to make clear choices about what kind of institution they want to become. Some banks may focus on owning the customer relationship through simple, chat-based AI experiences. Others may position themselves as ecosystem orchestrators, connecting banks, retailers, insurers, and other partners through open platforms and shared data.
At the same time, leaders must decide how they want to use AI. For some, AI will be mainly about improving efficiency and reducing operational costs. For others, it will strengthen customer engagement and personalization. And for the most ambitious institutions, AI could become the foundation for entirely new business models and revenue streams. The choices leaders make today will shape how their institutions compete, grow, and stay relevant in the years ahead.
Shaping the Nepal’s Future
The future of Nepal’s finance is closely tied to collaboration, innovation, and shared progress. By developing common systems for trust, identity, and digital infrastructure, the financial sector has the potential to strengthen inclusion and accelerate economic participation across the country.
The central message is not centered on technology alone, but on intention. AI amplifies direction and purpose, making it essential for institutions to be clear about the kind of future they want to create. In this evolving landscape, the most important question for leaders and organizations is not what technology can do but what vision it is being used to realize.
