JPMorgan Private Bank’s Madison Faller Urges Investors to Track the Full AI Value Chain, Not Just Big Tech

JPMorgan Private Bank’s Madison Faller is telling investors to broaden their artificial intelligence lens. Rather than centering portfolios on Big Tech vendors, Faller argues that the most useful view is across the full AI value chain, where different types of companies can capture value at different stages of development and deployment.

The comments, published July 15, were reported by Bloomberg and syndicated through Yahoo Finance. They frame AI not as a single-industry trade, but as a stack that runs from foundational components through to the firms building applications and delivering services to end users.

In that view, investors who restrict attention to the best-known AI platform companies may miss other parts of the ecosystem, including providers of enabling infrastructure, data and analytics tools, and the businesses integrating AI into workflows across sectors. The underlying message is that AI spending and adoption can create opportunities beyond the consumer-facing and cloud-heavy headlines.

Faller’s perspective also reflects the angle of a private bank, where client conversations often focus on long-term themes and portfolio construction rather than short-dated moves. In practice, that can mean mapping where value is created within an AI system, then considering exposure at multiple points, instead of treating “AI” as one narrow bet.

For JPMorgan, the emphasis on a wider value chain also fits how Wall Street has increasingly described AI investment. After the initial wave of enthusiasm centered on model builders and major platform providers, investor attention has expanded to the suppliers and implementers that support scaling, distribution, and enterprise use.

Still, the reported post does not provide additional detail on which categories Faller believes will lead, nor does it list specific companies, investment products, or time frames. It also does not quantify how she thinks risk and returns compare across different parts of the AI stack.

What is clear from the reporting is the framing: an AI theme can be approached as a chain of value, where the opportunity is shaped by capabilities at each link, rather than only by the companies that make the most visible models or systems.

Investors and wealth managers are likely to watch how JPMorgan’s broader public commentary on AI evolves, particularly whether subsequent remarks translate the “whole value chain” message into more concrete guidance on asset allocation, client positioning, or how the bank assesses relative strength among different AI enablers. For now, the key takeaway is the call to look beyond the biggest names and pay attention to the ecosystem as a whole.