Investor demand for artificial intelligence-focused exchange-traded funds accelerated sharply in recent months, even as the broader technology sector navigated one of its most volatile quarters in years, according to a new report from JPMorgan. The findings highlight a widening gap between short-term market turbulence and longer-term structural conviction around AI as an investable theme — a trend that has drawn increasing scrutiny from analysts tracking AI concentration risk within passive portfolios.
The JPMorgan report, which was cited by CNBC markets on July 23, 2026, found that the number of AI-themed ETFs available to retail and institutional investors had grown dramatically over a compressed timeframe, with new product launches outpacing nearly every other thematic category tracked by the bank’s asset management research team. Net inflows into AI-designated funds remained positive throughout the quarter even as underlying holdings — including major semiconductor manufacturers and large-cap technology platforms — posted significant drawdowns.
A Quarter of Contradictions for Tech and AI Funds
The quarter under review was characterized by sharp reversals in sentiment toward technology equities. Concerns over stretched valuations, rising interest rate expectations, and mixed corporate earnings guidance weighed on growth-oriented stocks, with several high-profile AI chipmakers and software platforms losing between 15 and 25 percent of their market value at the trough. Despite this, JPMorgan’s analysis found that ETF investors largely held their positions and, in many cases, added to them during periods of price weakness.
The report estimated that AI-themed ETFs collectively absorbed billions of dollars in net new capital during the quarter, a figure that stood in stark contrast to outflows recorded across broader technology sector funds during the same period. Analysts at JPMorgan attributed the divergence to a buy-the-dip mentality among retail investors, as well as growing institutional interest in gaining diversified exposure to the AI supply chain — spanning hardware, cloud infrastructure, data management, and enterprise software — through a single product wrapper rather than individual stock selection.
The surge in product creation has itself become a subject of regulatory and analytical attention. The number of thematic ETFs carrying explicit AI branding in their names or stated mandates has more than doubled compared to levels observed just eighteen months prior, raising questions about whether fund labeling practices adequately reflect the actual composition of underlying portfolios.
Structural Demand Outpaces Quarterly Noise
Beyond the immediate flow data, JPMorgan’s report pointed to a broader structural shift in how both retail and institutional allocators are approaching technology exposure. The bank’s researchers noted that many investors have moved away from treating AI as a speculative satellite position and are increasingly incorporating AI-themed funds into core portfolio allocations, a transition that tends to produce stickier inflows less sensitive to short-term price movements.
This evolution in investor behavior carries meaningful implications for fund providers, many of whom have rushed to launch competitively priced products in an attempt to capture market share before the thematic category matures. Expense ratios across newly launched AI ETFs have compressed noticeably, with several new entrants pricing below 0.50 percent annually in a bid to attract cost-conscious allocators. The dynamic mirrors patterns seen during the early proliferation of clean energy and cannabis-themed funds, both of which experienced rapid product expansion followed by consolidation as performance divergence became apparent.
Industry observers have also flagged the potential for overlap between AI-themed ETFs and broader technology index funds, noting that the same handful of mega-cap names — including leading chipmakers and hyperscale cloud operators — tend to represent outsized weights across multiple products. This concentration dynamic, already a concern for passive investors more broadly, is amplified within thematic structures where the investment mandate narrows the eligible universe considerably. The trend intersects with wider market infrastructure debates, including those around center energy costs, which could materially affect the operating economics of companies that anchor many of these funds.
JPMorgan’s report stopped short of making explicit recommendations on AI-themed ETF allocations but underscored that investors entering the space during periods of elevated enthusiasm should carefully assess both portfolio overlap and the degree to which fund mandates are sufficiently differentiated to justify holding multiple products simultaneously.