Meta’s shares slip, but analysts point to Muse AI momentum and steadier ad demand

Meta Platforms’ stock fell in a trading session covered by Proactive Investors on Oct. 22, as Wall Street weighed the company’s spending priorities amid its push into generative AI. The report said investors appeared focused on the costs of building and deploying AI, even as there were indicates that Meta’s advertising business remains a core stabilizer for revenue.

The market narrative highlighted two potential offsets to near-term cost pressure. First, the report described advertising as remaining resilient, suggesting that Meta’s ad engine has not broken under the strain investors associate with AI investment. Second, it pointed to early progress on Muse, Meta’s AI effort that is tied to the creation of content using generative technology.

Muse was framed in the report as a product direction that could become more valuable over time, particularly if it finds clear usage among advertisers or creators. For readers, generative AI in this context generally means systems that produce text, images, or other content in response to prompts, and Muse represents Meta’s attempt to translate that capability into experiences that can integrate with its large consumer platforms.

The report’s central argument was not that costs are disappearing, but that the market may be underestimating the upside potential of Muse while overemphasizing the near-term impact of AI spending. In other words, analysts cited a possible “trade-off” where continued investment could ultimately strengthen Meta’s differentiation and monetization pathways, even if it weighs on margins in the short run.

The Proactive Investors piece also indicated that the stock drop reflected uneven investor sentiment rather than a single, specific negative development. That matters because Meta’s valuation narrative often hinges on whether investors see ad performance and engagement as durable enough to fund AI ambitions without eroding profitability.

Meta has not, in the cited market report, laid out fresh, detailed guidance or disclosed specific Muse performance metrics. As a result, the upside case in the article rests largely on analyst interpretation of directionally positive indicates rather than on hard, newly published numbers tied to Muse usage, revenue contribution, or unit economics.

Looking at the broader technology sector context, AI spending has become a defining issue for platform companies that already monetize attention at scale. When ad markets soften, investors tend to penalize AI capex and opex more sharply; when ad markets hold steady, AI initiatives can be re-rated as longer-term growth vectors.

What to watch next is whether Meta provides clearer disclosures about Muse adoption and monetization paths, and whether advertising trends continue to support the idea that Meta can absorb AI costs. The stock reaction in the report suggests the market is still deciding how to balance those two forces.