Muse Creates a New AI Disruption Trade

Meta’s Muse AI agent has become a new source of concern for investors holding consumer-focused companies. The technology can assist users with tasks such as comparing prices, managing subscriptions and, with approval, taking actions such as canceling services.

That capability has contributed to what Wall Street has described as the “consumer inertia” trade. The underlying concern is that companies benefiting from consumers staying with existing subscriptions or services could become more vulnerable if AI agents make it easier to compare alternatives and switch providers.

Consumer Stocks Take the Hit

The selling has spread across several industries. Since Muse launched September 8, Planet Fitness shares have fallen about 20%, while Airbnb and Booking Holdings have declined approximately 13% and 16%, respectively. SiriusXM has dropped about 11%, while Charles Schwab has declined roughly 9%.

The broad nature of the selloff has raised questions about whether investors are distinguishing between companies with genuinely high exposure to agentic AI and businesses whose customer relationships may prove more durable.

Cramer Questions a Broad-Based Selloff

CNBC’s Jim Cramer argued that investors could be overestimating the immediate threat to entire groups of consumer companies. His view is that the impact of agentic AI should be assessed at the individual business level rather than applied uniformly across industries.

The debate resembles the earlier “SaaSpocalypse,” when enterprise software stocks sold off sharply over concerns that AI could disrupt traditional per-seat software models. The market subsequently showed that AI tools and enterprise software could coexist, although the source notes that it remains uncertain whether the current consumer-focused trade will follow a similar path.

Customer Engagement Could Matter

The fitness industry provides one example of how differences between business models could influence AI exposure. Cramer highlighted Life Time, whose shares have fallen about 7% since Muse launched, compared with the larger decline at Planet Fitness.

The argument is that more highly engaged customers may have different retention characteristics than customers using lower-cost subscription services. If customer loyalty and engagement remain strong, an AI agent that makes cancellation easier may not necessarily produce the same level of disruption across every fitness operator.

Travel Companies Face a Different Challenge

Online travel companies also face questions about whether AI agents could change how consumers search and book accommodations. An agent could theoretically help users compare alternatives or bypass established platforms when booking directly with property owners.

However, travel platforms continue to offer features such as centralized comparison and rewards programs. Expedia has also announced a partnership with Muse, illustrating that AI could potentially become an additional distribution tool rather than simply a threat to existing platforms.

The same distinction applies to financial services. AI could make it easier for customers to compare deposit rates and move money between institutions, but existing relationships and customer trust could limit how frequently consumers switch banks or financial providers.

Not Every Business Faces the Same AI Risk

The market reaction suggests that investors are beginning to price in the possibility that agentic AI could reduce consumer inertia. Yet the actual impact may vary significantly depending on customer engagement, switching costs, loyalty benefits and the strength of existing relationships.

SiriusXM represents a different case in the source’s discussion, with Cramer arguing that the company was already experiencing a longer-term decline before agentic AI emerged. That distinction is important because not every stock falling in the consumer-inertia trade necessarily faces the same fundamental AI risk.

What Investors Should Watch Next

The key question is whether Muse and similar AI agents materially change consumer behavior or simply become another channel through which existing businesses reach customers. Early adoption, cancellation activity, customer retention and partnerships with AI platforms could provide evidence as the technology develops.

For investors, the current selloff creates a need to separate broad AI-driven sentiment from company-specific fundamentals. The coming quarters may reveal which business models are most exposed to automated comparison and switching, and which companies can use AI to strengthen rather than weaken their customer relationships.