Webull says roughly 9% of users now hold at least one semiconductor or semiconductor-related stock, up from 3% two years ago, signaling broader retail participation across the AI supply chain. The platform is seeing stronger equities growth in AI infrastructure, semiconductor-adjacent names, IDM, and memory/storage stocks, while options volume is up 10% as investors use derivatives more tactically. The piece suggests AI interest remains intact but is rotating from concentrated chip exposure into a more diversified ecosystem.
The important read-through is not simply “retail likes semis,” but that flow is becoming more barbell-like: capital is moving from the obvious mega-cap AI winners into the picks-and-shovels layer where incremental demand is less visible and valuations are often less stretched. That typically benefits equipment, packaging, test, memory, and data-center real estate first, because those are the segments where retail can still express the AI theme without paying the same consensus premium as the largest chip designers. This matters for positioning because it can extend the AI trade’s duration. When participation broadens, the theme becomes harder to unwind on a single earnings miss at one or two leaders; instead, the market has to reassess the entire infrastructure spend cycle. The second-order effect is that relative performance may shift from “highest revenue growth wins” to “highest capex sensitivity wins,” which tends to favor supply-chain names with operating leverage to every incremental hyperscaler dollar. The risk is that this broadening is often the late phase of a crowded theme, not the beginning. If options activity is being used tactically around catalysts, then a volatility shock, a capex guide-down from a hyperscaler, or any sign that AI server demand is normalizing could hit the adjacent names harder than the original leaders. Memory and packaging are the most vulnerable on the downside because they are more cyclical and can reprice quickly if order visibility slips by even one quarter. Contrarianly, the market may be underestimating how much of this rotation is a short-duration search for “cheaper AI beta,” rather than a durable secular shift. If retail is simply fishing farther down the ecosystem for better entry points, the trade may compress into a crowded relative-value pattern where the second- and third-order beneficiaries outperform for a few months, then underperform once the valuation gap closes. That argues for trading the spread, not just owning the theme outright.
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