Meta Platforms on Wednesday announced Muse Spark, the first model emerging from the newly created Meta Superintelligence Labs. The launch prompted favorable responses from several Wall Street analysts, who said the unveiling takes a major uncertainty off the table for Meta's equity.
Muse Spark is described as a natively multimodal reasoning model that supports tool use, visual chain of thought and multi-agent orchestration. Meta has made the model available on Meta AI and meta.ai, and said a wider rollout across WhatsApp, Instagram, Facebook, Messenger and the company's smart glasses is expected over the coming weeks. Additionally, a private API preview has been opened to a select group of users.
Analysts framed the release as an inflection point for stock revaluation. Morgan Stanley's Brian Nowak, who carries an overweight rating and a $775 price target on Meta, characterized Muse Spark as "the first step in re-rating META," noting that benchmark performance came in better than investors had feared. Nowak emphasized that benchmarks are secondary to Meta's ability to convert first-party model capabilities into products, pointing to an early-stage shopping assistant as a possible agentic commerce opportunity.
"the first step in re-rating META,"
Bank of America analyst Justin Post reiterated his buy rating and $885 price target, noting that the launch occurred sooner than some press reports had suggested a potential delay to May. Post compared Meta's path to that of another major model rollout, writing that Meta "could be on a similar trajectory over the next 12 months if model performance continues to improve." He also highlighted valuation metrics in his note.
"At ~$625, Meta valued at 18x Street 2027 GAAP EPS (15x adjusting for RL investments), below S&P 500 at ~20x. We see the current valuation as attractive given a large AI opportunity, above industry ad growth, and strong financial position for AI. Reiterate Buy," Post wrote.
Both analysts called out potential commercial benefits from Muse Spark, including improvements to ad targeting, higher return on ad spend and the possibility that the model could eventually underpin subscription revenue streams. Those outcomes, they argued, would flow from successful productization and continued model performance advances.
While the market reaction described by analysts was broadly positive, the commentary also highlights the conditional nature of the upside - specifically dependent on Meta's execution in deploying model capabilities into revenue-generating products and on continued model improvement.