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Morgan Stanley on META: Muse Agent Is a $30tn Call Option — Overweight, $775 PT

Posted on by Eben@CANSLIM Research
Eben@CANSLIM Research's avatarEben@CANSLIM Research

Meta Platforms (META) has unveiled Muse, a standalone consumer AI agent that automates shopping, travel, ticketing, scheduling and email tasks, and Morgan Stanley keeps the stock at Overweight with a $775 price target. The bank frames Muse as an early move in the contest for a roughly $30tn consumer agentic addressable market spanning digital ads, e-commerce, travel, autonomous driving, delivery, logistics and wearables. Morgan Stanley stresses that Muse success is not priced into META shares at 18x 2028 EPS, and that investors will need evidence of adoption and monetisable behaviour before the stock re-rates higher.

Key Takeaways

  • Morgan Stanley rates Meta Platforms (META) Overweight with a $775 price target, based on about 23x the average of its $34/$35 EPS estimates for 2027 and 2028; META closed at $613.48 on 8 September 2026.
  • META’s new consumer AI agent, Muse (previously codenamed “Hatch”), is a separate app from Instagram, Facebook and META’s other properties and for now does not share data with META’s advertising system.
  • Morgan Stanley estimates a ~$30tn global consumer agentic TAM, growing from $29tn in 2023 to $32tn by 2028, with retail and travel the largest component at roughly $16-17tn.
  • Morgan Stanley rates Alphabet (GOOGL) Overweight with a $400 price target, about 24x the average of its $15/$18 EPS estimates for 2027 and 2028, and warns that Muse traction could pose a new threat to search.
  • Morgan Stanley’s 2026 estimates for META are $251,307mn revenue and $27.78 EPS, against consensus of $257,877mn and $33.65.

What Morgan Stanley Said About Meta’s Muse Agent

In a report titled “Muse Has Arrived; What Matters Next?”, Morgan Stanley & Co. LLC analyst Brian Nowak and associates argue that META’s launch of Muse marks the opening of the battle for the $30tn consumer agentic TAM. The agent performs a range of tasks autonomously — online shopping, travel, buying tickets, scheduling appointments and managing calendars, and sending emails — but sensitive actions such as completing purchases and payments require verification from the end user before completion.

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