Meta Stock Enjoys Best Month Since 2022 on AI Momentum

Meta Platforms has closed out September with a sharp rebound in its share price, as investors responded to early signs of momentum around the company's latest artificial-intelligence products and a broader push to turn its huge AI investment into new sources of growth.

Shares of the Facebook and Instagram parent gained about 27% during September, closing the month at $725.18 on Wednesday. That marked Meta's strongest monthly performance since November 2022 and left the stock substantially above its August closing level of $571.34.

The rally accelerated after Meta introduced Muse, a personal AI agent designed to do more than answer questions. The company says Muse can carry out tasks such as sending emails, booking travel, completing forms and making purchases, operating through a dedicated secure virtual machine and Meta's Muse Spark AI model.

Early consumer interest has given investors a reason to reassess Meta's AI strategy. Muse quickly climbed Apple's U.S. App Store rankings after its September 8 launch, at one point overtaking OpenAI's ChatGPT in the free iPhone app rankings, according to reports. The initial traction helped fuel a wider rally in AI-related stocks, with semiconductor companies also benefiting from expectations of continued demand for the computing infrastructure needed to run advanced AI systems.

Meta's shares jumped 11.3% on September 21 alone, according to historical market data, before reaching a 52-week intraday high of $779.82 on September 24. The stock subsequently gave back some of those gains, falling 3.3% on September 25 and 4.8% on September 28, but remained far above where it began the month.

The enthusiasm comes at a crucial point for Meta. Chief Executive Mark Zuckerberg has committed the company to an aggressive AI buildout involving enormous spending on chips, data centres and computing capacity. The investment has raised questions on Wall Street about when, and how, the company will generate sufficient returns from the infrastructure it is building.

Meta is now attempting to broaden that potential payoff beyond its traditional advertising business. On September 28, the company announced Meta Enterprise Platform, a new business focused on bringing products including Muse, Meta Business Agent, Muse API and Muse Code to companies and developers. Former MongoDB CEO Chirantan “CJ” Desai was appointed to lead the initiative.

The move suggests Meta sees AI agents as a potential commercial platform rather than simply another feature inside Facebook, Instagram, WhatsApp and Messenger. Meta says the enterprise operation will combine its AI models, agents and large-scale infrastructure with its existing relationships with hundreds of millions of businesses.

Meta has also been expanding Muse into physical devices. At its September 24 Connect event, the company announced plans to bring Muse to its AI glasses, allowing users to interact with the agent through voice and visual information while going about their day. Meta said it expects to have more than 100 AI-glasses options across its Ray-Ban, Oakley and Meta brands by the end of 2026.

The stock rally does not, however, establish that Meta's AI investments have already become a major new source of revenue. Muse is still a relatively new product, and the company has not yet demonstrated through reported financial results how much money the service can generate or whether users will remain engaged over the long term.

There are also concerns about the cost of maintaining Meta's AI ambitions. Reuters has reported on growing credit-market scrutiny of the enormous financing requirements associated with AI infrastructure, including Meta's planned $50 billion Hyperion data-centre project in Louisiana. The project involves $27 billion of bonds issued through a separate financing vehicle, highlighting how quickly AI infrastructure spending is moving into the capital markets.

Meta's latest enterprise push may therefore be as important to investors as Muse's early popularity. The company needs to show that its AI models and infrastructure can produce businesses capable of supporting the enormous capital expenditure now being committed to the technology. Investors have rewarded signs of progress, but the scale of the spending means expectations are also rising.

The September rally illustrates how quickly sentiment around technology companies can change when a new AI product appears to gain traction. For Meta, the next test is turning that excitement into durable usage, advertising opportunities, enterprise revenue and other commercial returns. The company's strongest month in almost four years has bought its AI strategy renewed market confidence; the coming quarters will show whether that confidence is supported by the economics of the business.