Meta Stock Rises 3.24% as Muse Enterprise AI Push Gains Momentum

Key Takeaways

• Meta shares rose 3.24% to $738.79 on September 29, recovering part of the losses recorded over the previous two sessions.
• Meta Enterprise Platform and new Muse tools for small businesses have brought potential AI revenue streams back into focus.
• Higher analyst targets support the bullish case, while uncertain monetisation, infrastructure costs and privacy concerns remain material risks.

Meta Stock Rebounds as Enterprise AI Takes Centre Stage

Meta Platforms shares closed Tuesday, September 29, at $738.79, up $23.17, or 3.24%, as attention returned to the commercial potential of its Muse AI agent. The rebound followed two consecutive declines and coincided with new developments in the company’s effort to turn AI capabilities into products for businesses.

The recovery reversed only part of the recent pullback. Meta had closed Monday at $715.62 after falling 4.79%, illustrating how quickly sentiment can shift around a product whose long-term financial contribution remains uncertain.

Tuesday’s advance suggests investors remain receptive to Meta’s expansion into business software. However, a single session does not establish that enterprise AI will deliver the revenue or margins needed to justify a lasting increase in the company’s valuation.

Meta Enterprise Platform Expands the Commercial Opportunity

Meta announced Meta Enterprise Platform on September 28, bringing together its AI technology for businesses and developers. The initial offering includes Muse, Meta Business Agent, Muse API and Muse Code.

Chirantan “CJ” Desai, formerly MongoDB’s chief executive and president, will lead the initiative as Chief Enterprise Platform Officer, reporting directly to Mark Zuckerberg. His appointment adds enterprise software experience as Meta builds a business aimed at corporate customers.

The platform creates a more explicit route for commercialising Meta’s models, agents and infrastructure. Meta also points to its existing relationships with advertisers and businesses as a foundation for the initiative.

The investment implication is conditional: if business customers adopt these tools and pay for them consistently, enterprise AI could broaden Meta’s earnings base. The announcement itself does not establish the scale, profitability or timing of that opportunity.

Muse Moves Into Everyday Business Workflows

On September 29, Meta introduced additional Muse capabilities for small businesses. The tools connect the agent to services including Canva, Dropbox, Intuit QuickBooks, Shopify, Slack and Stripe, alongside Facebook and Instagram business accounts.

Meta describes uses ranging from analysing business performance to organising communications and preparing marketing materials. Its stated design requires approval before Muse publishes, sends messages or spends money.

These connections matter because an assistant becomes more useful when it can work within the software customers already use. For a small business, reducing time spent moving information between applications could provide a practical reason to keep using the product.

That is a potential adoption advantage rather than proof of commercial success. Repeat usage, customer retention and willingness to pay will provide stronger evidence than launch interest alone. Meta must also demonstrate that the agent performs reliably enough for customers to entrust it with business tasks.

Higher Analyst Targets Reinforce Optimism

BNP Paribas raised its Meta price target to $885 from $855 while maintaining an Outperform rating. Separately, JPMorgan increased its target to $920 from $820, reflecting optimism about Muse’s consumer adoption potential.

Relative to Tuesday’s $738.79 close, those targets imply approximately 19.8% and 24.5% upside, respectively. They represent individual analyst expectations and should not be interpreted as guaranteed outcomes or a uniform market consensus.

The timing also matters. JPMorgan’s increase was reported on September 24, before Tuesday’s rebound. It therefore forms part of the broader positive backdrop rather than a newly issued call that can conclusively explain the session’s gain.

The targets underscore the importance of monetisation assumptions. Strong engagement may increase confidence in the opportunity, but earnings estimates ultimately depend on how much revenue Meta can generate and what it costs to serve those users.

The Valuation Debate Shifts Toward Enterprise Revenue

Market commentator Jim Cramer argued that Muse’s enterprise potential could encourage investors to value Meta differently. He suggested that a valuation multiple around 18 times could expand toward 24–25 times as the business develops.

This is a valuation opinion, not a company forecast or confirmation that Meta currently deserves that multiple. Comparisons also require a consistent earnings measure and forecast period; otherwise, apparently similar multiples can describe different financial assumptions.

The broader argument is that a successful enterprise business could give investors additional reasons to expect durable earnings growth. For that argument to strengthen, Meta would need evidence of paying customers, recurring demand and commercially attractive service economics.

A higher multiple can lift a share price even without an immediate earnings increase. It also makes the stock more vulnerable if adoption slows or anticipated profits fail to emerge.

Firmus Agreement Supports Meta’s AI Infrastructure

Firmus announced agreements with Meta on September 29 for GPU computing capacity at facilities in Southeast Asia. The arrangements include contracted capacity and options for expansion, supporting Meta’s AI research, model development and training.

The agreement gives Meta access to additional computing resources as it expands its AI activities. It should not be interpreted as a disclosed Muse customer contract or direct evidence of enterprise software revenue.

The distinction is important for assessing financial returns. Computing capacity supports product development, but commercial value depends on whether the resulting services generate sufficient revenue relative to infrastructure and operating costs.

Privacy Concerns Complicate the Business Case

A September 28 Hunterbrook investigation reported that Muse could compile identifying information about people in vulnerable groups using social media information and web searches. The publication said it shared its findings with Meta and had not received a substantive response by publication.

These are reported test findings, rather than a regulatory ruling or an independently reproduced assessment in this article. Meta’s enterprise announcement states that security and privacy are incorporated into its products from the outset.

For business customers, confidence in permissions, data handling and safeguards may influence adoption as much as convenience. The reported concerns create a further issue for Meta to address as it seeks broader use of autonomous agents.

Meta’s rebound reflects renewed interest in a more concrete AI commercialisation strategy, supported by business tools, experienced leadership and additional computing capacity. Sustaining that confidence will require evidence that Muse can convert adoption into revenue while meeting customer expectations for reliability, privacy and cost.