According to Tom Lee, managing partner and head of research at Fundstrat Global Advisors, artificial intelligence and blockchain are quietly transforming how large financial institutions operate \u2014 and the market may still be underestimating their impact.<\/p>\n
Lee believes these technologies have moved well beyond experimentation. Rather than acting as peripheral tools, they are increasingly becoming part of the operational backbone of major banks. As they are woven into payments, risk management, compliance, and data analysis, they have the potential to materially improve efficiency while lowering long-term costs. That combination, Lee argues, sets the stage for stronger margins and higher valuations across the sector.<\/p>\n
One of the key reasons large banks stand to benefit is scale. Global institutions already possess vast data resources, complex infrastructure, and broad client networks. AI and blockchain enhance those advantages instead of undermining them. While smaller banks and fintech firms may innovate quickly, they often lack the capital and operational depth required to deploy these technologies across an entire organization.<\/p>\n
Lee points to JPMorgan Chase as an example of how early investment can translate into long-term strength. The bank has spent years building internal digital systems, particularly in wholesale payments and settlement, while also embedding AI into areas such as fraud detection and regulatory oversight. According to Lee, these initiatives are not about short-term disruption, but about creating a durable efficiency edge that compounds over time.<\/p>\n
A similar logic applies to Goldman Sachs, though its focus has leaned more heavily toward decision-making and capital efficiency. Lee notes that AI is increasingly being used to support risk assessment, capital deployment, and strategic planning across the firm\u2019s investment and asset management businesses. Improvements in these areas may be less visible to the public, but they directly influence profitability and competitive positioning.<\/p>\n
Stepping back, Lee frames AI and blockchain as tools capable of unlocking value trapped within outdated financial processes. Many parts of the global banking system still rely on slow, manual, or fragmented workflows. By automating and synchronizing these systems, banks can free up capital, reduce operational friction, and respond more quickly to market demands. Lee estimates that the cumulative impact of this transition could reach into the trillions of dollars over time.<\/p>\n
Importantly, Lee does not view this shift as a threat to traditional banks. Instead, he sees well-capitalized incumbents absorbing the most effective innovations and integrating them at scale. In that scenario, established institutions are not displaced by fintech or crypto-native firms, but strengthened by selectively adopting their most useful technologies.<\/p>\n
From an investment perspective, Lee emphasizes patience. The benefits of AI and blockchain are unlikely to appear overnight, but will gradually surface in earnings quality, cost structures, and investor perception. As these technologies become embedded in everyday banking operations, Lee believes the market will begin to reassess which institutions are best positioned for the next phase of financial evolution.<\/p>\n
In his view, banks like JPMorgan and Goldman Sachs are not racing to catch up \u2014 they are already laying the groundwork for a new operating model that could define the future of global finance.<\/p>\n