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Which Stocks Could Muse Disrupt? Wall Street Flags Banks, Travel, and Utilities

An AI agent that can shop, compare, and switch providers on your behalf is bad news for businesses that rely on customer inertia — and investors started pricing that in Monday.

2 min read
Published Sep 21, 2026

Muse's consumer-agent capabilities — booking travel, sending emails, and making purchases on a user's behalf — prompted selling Monday in sectors that benefit from customers staying put with their existing providers, according to Bloomberg.

The logic: lower switching friction, lower pricing power

If an AI agent can compare options and switch providers on a user's behalf with a few taps, businesses that have historically relied on inertia, negotiable pricing, or bundled add-ons to retain customers could face new pressure. That's the thesis driving Monday's sector-specific selling, even as the broader market rallied.

Financials and travel led the declines

Major banks, along with the KBE (SPDR S&P Bank ETF) and XLF (Financial Select Sector SPDR), declined as investors assessed whether AI agents could make switching banking providers easier. Travel companies Expedia (EXPE) and Booking Holdings (BKNG) also fell as investors weighed Muse's ability to help users research and book travel accommodations directly — a function that overlaps with the core value proposition of both online travel agencies.

Which sectors are most exposed

Goldman Sachs' trading desk identified telecoms, insurance, and utilities as industries particularly exposed to lower switching friction — businesses that depend on recurring bills, negotiable pricing, and add-on products are, per Bloomberg's reporting, the ones most at risk if agentic AI makes comparison shopping and provider-switching materially easier for consumers.

Worth noting: this is an early, thesis-driven repricing, not a confirmed structural shift. Muse's agent can already book travel, send emails, and make purchases on a user's behalf — the open question is how widely those capabilities get used, and how quickly, before they show up in these companies' actual retention and pricing metrics.

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