Wall Street’s next major growth engine may not come from rate cuts or trading cycles, but from technology quietly reshaping the core of global banking.
According to Fundstrat Global Advisors Managing Partner and Head of Research Tom Lee, the convergence of artificial intelligence and blockchain is setting up a powerful revaluation opportunity for large financial institutions, especially JPMorgan Chase and Goldman Sachs.
Lee argues these technologies are no longer experimental add-ons. Instead, they represent structural shifts that could unlock efficiency, reduce costs, and expand profit margins across traditional finance.
Why Big Banks Are Positioned to Win
Lee’s thesis centers on scale. Large institutions already control massive data sets, global client networks, and complex financial infrastructure. AI and blockchain, in his view, amplify these existing advantages rather than disrupt them.
Smaller banks may struggle to invest at the same level or integrate new systems across legacy operations. Meanwhile, well-capitalized giants can absorb the cost of transformation while extracting long-term gains.
JPMorgan’s Digital Edge
For JPMorgan, Lee highlights a deliberate and early push into digital infrastructure. The bank has been active in wholesale blockchain payments through its Onyx Digital Assets platform, while also embedding AI across fraud detection, compliance, and data analytics.
Lee believes these initiatives will translate into measurable cost savings and faster service delivery over time. More importantly, they strengthen JPMorgan’s competitive moat, allowing it to scale innovation internally rather than rely on external fintech solutions. In Lee’s view, this positions JPMorgan to outperform broader market expectations as efficiency gains compound.
Goldman Sachs and AI-Driven Efficiency
Goldman Sachs, meanwhile, is leveraging AI in areas where precision directly impacts profitability. Lee points to the firm’s use of AI for capital allocation, risk modeling, and decision support across investment banking and asset management.
These tools don’t just speed up processes, they improve judgment at scale. Lee argues that better risk pricing and operational efficiency can enhance margins, expand market share, and reinforce Goldman’s dominance in high-value financial services.
The Bigger Picture: Unlocking Trapped Value
Beyond individual stock calls, Lee frames AI and blockchain as catalysts for a broader transformation of financial markets. He describes the opportunity as multi-trillion-dollar in scope, driven by the release of “trapped value” embedded in slow, manual, and fragmented financial systems.
Banks that successfully integrate these technologies early stand to benefit disproportionately. Rather than being disrupted by fintech or crypto-native firms, Lee sees incumbents like JPMorgan and Goldman Sachs adapting, and thriving, by absorbing the most effective innovations.
A Long-Term Bullish View
Lee’s outlook is not about short-term hype cycles. It’s about structural change playing out over years. As AI and blockchain become embedded in core banking functions, efficiency gains may gradually surface in earnings, valuations, and investor perception.
In that context, Lee believes JPMorgan and Goldman Sachs are not laggards catching up, but leaders already building the next generation of financial infrastructure.
