Dan Ives Leaves Wedbush; AI ETF Coverage Gap

Dan Ives has left Wedbush. He covered artificial intelligence-focused exchange-traded funds and related technology research at the firm.

At Wedbush, Ives covered AI, semiconductors and large-cap technology companies that often appear in AI-focused ETF portfolios. He published research notes and spoke publicly on company fundamentals, industry trends and investor sentiment used by market participants and product teams.

ETF managers use sell-side analyst coverage to assess index constituent eligibility, rebalancing effects and developments such as supply-chain issues or regulatory changes. Ives provided one source of analysis and market color for those topics.

Investors and product teams that relied on Ives’ research will need alternate analyst coverage. ETF issuers may increase direct outreach to independent research firms or industry consultants, or assign coverage internally. Competing sell-side analysts and boutique research firms may expand commentary and model updates for names in AI ETFs.

Wedbush must reassign responsibilities within its technology research group or hire a successor to cover AI-related capital markets issues. Changes in coverage could affect the speed at which the market receives updates on hardware supply, AI software releases or major customer contracts for companies held by AI ETFs. Timely analyst reports can affect trading flows around index rebalances and earnings seasons for funds that track narrow thematic indexes.

AI-focused ETFs typically include companies involved in AI software, cloud services and semiconductor manufacturing. Since investor interest in generative AI and data-center expansion, multiple issuers have launched products aimed at those areas. Sell-side analysts contribute earnings models and channel checks that inform both retail and institutional demand for these funds.

Market participants are watching who will assume public-facing AI coverage at Wedbush and which external analysts or firms will provide increased coverage of companies in AI ETFs.