Mark Zuckerberg is making a major bet on artificial intelligence. Meta’s Muse project could become a business worth $27 billion by 2030, according to projections linked to the company’s AI plans. The project reflects Meta’s efforts to turn its AI investments into new sources of revenue.
Meta has been investing heavily in AI models, computing infrastructure and new products. The company wants to use AI across its social media platforms, advertising business and digital services. Muse could become an important part of that strategy.
The potential valuation also highlights the growing commercial interest in AI. Technology companies are looking beyond chatbots. They want to build systems that can support content creation, improve advertising and offer new services to businesses and consumers.
However, reaching a $27 billion valuation by 2030 would depend on several factors. These include product adoption, revenue growth, competition and Meta’s ability to turn its AI technology into a profitable business.
How Muse Fits Into Meta’s Broader AI Strategy
Muse is associated with Meta’s broader push to develop more advanced AI systems. The company has been working to improve its AI capabilities and bring them into products used by billions of people.
Meta already uses AI to recommend content on Facebook and Instagram. Its systems also help advertisers reach relevant audiences. New AI products could expand these capabilities and create additional ways for the company to earn revenue.
The name Muse has also been associated with Meta’s research into advanced AI models. The exact commercial scope of the project and its relationship with Meta’s other AI initiatives are important details to establish before drawing conclusions about its potential revenue.
Meta’s wider AI strategy includes its Llama family of models, Meta AI assistant and AI tools for businesses. These efforts show how the company plans to make AI a bigger part of its products and services.
ALSO READ: Meta’s New Muse AI Agent Can Send Emails, Book Travel and Make Payments
How a $27 Billion Muse Business Could Boost Meta’s AI Revenue
A potential $27 billion business would represent a significant opportunity for Meta. It would also show how AI could become a major source of growth for large technology companies.
Meta has traditionally earned most of its revenue from advertising. Facebook and Instagram help businesses reach users through targeted ads. AI already plays an important role in deciding which ads people see and how well those ads perform.
New AI services could help Meta expand beyond its existing advertising model. For example, businesses may pay for AI tools that create marketing content, answer customer questions or automate routine tasks.
AI could also help creators produce images, videos and other digital content. If Meta offers useful tools that attract paying customers, these services could open up new revenue streams.
Still, a projected business value is not the same as confirmed revenue. The $27 billion figure should be treated as a forecast unless Meta or a reliable source provides details about the estimate, its assumptions and the financial metric being measured.
How Meta Could Make Money From Its AI Investments
Meta has several possible ways to make money from its AI investments. Its existing platforms give it an advantage because the company can introduce new features to a large user base.
1. AI Tools for Businesses
Meta could expand its AI services for companies that use its platforms to communicate with customers. Businesses already rely on Facebook and Instagram for advertising, sales and customer engagement.
AI assistants could help these businesses respond to messages, recommend products and manage common customer requests. Paid features could create another source of income for Meta.
2. AI Advertising Services
Advertising remains central to Meta’s business. AI can help advertisers create campaigns, test different messages and improve the performance of their ads.
More capable AI systems could automate parts of this process. This may help small businesses run campaigns without needing large marketing teams. Better results could also encourage advertisers to spend more on Meta’s platforms.
3. AI Content Creation
AI tools that generate images, videos and other content could attract creators and businesses. These features may make it easier to produce content for Instagram, Facebook and other services.
Meta could benefit by increasing user engagement and offering premium creative tools. However, demand would depend on the quality of these products and whether customers are willing to pay for them.
4. AI Assistants and Digital Services
Meta is also developing its AI assistant for use across its products. A more capable assistant could help users find information, complete tasks and interact with businesses.
If Meta adds paid services or business-focused features, its AI assistant could become another part of its commercial strategy. The company would still need to show that users find these services useful enough to support sustained revenue growth.
Mark Zuckerberg Faces Growing AI Competition
Meta is competing with some of the biggest names in technology. OpenAI, Google, Microsoft and Anthropic are all investing in AI models and commercial services.
These companies are trying to attract individual users, developers and businesses. Their products compete across several areas, including chatbots, coding tools, enterprise software and AI assistants.
Meta has one major advantage. It owns widely used social platforms and has access to a large advertising market. This gives it several ways to distribute AI features and connect them with existing products.
However, scale alone does not guarantee success. Meta must develop reliable AI systems, control operating costs and convince customers that its services offer clear benefits.
The company also faces questions about the cost of building AI infrastructure. Training and running advanced models requires computing power, specialised chips and large amounts of electricity. These expenses could affect profitability even if demand for AI services grows.
What Could Prevent Meta’s Muse Project From Becoming a $27 Billion Business?
Several challenges could affect Muse’s growth and its potential to become a $27 billion business by 2030.
Competition is one major risk. Meta will need to compete with other AI companies offering similar services. Customers may choose rival products if they deliver better results or charge lower prices. This could make it harder for Meta to generate revenue from its AI services.
User adoption is another uncertainty. Many people already rely on free AI tools, and not everyone will be willing to pay for extra features. Meta must offer services that provide enough value to convince individuals and businesses to spend money on subscriptions or other paid offerings.
High infrastructure costs could also affect profitability. Running AI services requires significant computing power and resources. As usage grows, Meta may face higher operating costs, putting pressure on its profit margins.
Regulation could create further challenges. Governments are increasing their scrutiny of AI safety, data privacy, copyright and the use of personal information. New regulations could raise compliance costs or restrict certain AI applications, potentially affecting Meta’s business plans.
Finally, the $27 billion estimate requires further clarification. A company valuation, an annual revenue forecast and a cumulative revenue projection represent very different financial measures. Without a reliable source explaining how the figure was calculated, it remains difficult to determine how realistic the target is.
ALSO READ: Meta Introduces $1,299 VR Glasses and Muse Charm at Connect 2026
How Meta’s AI Investments Could Change Its Business Model
Meta’s AI investments could reshape how the company makes money over the next few years. Advertising is likely to remain important, but AI tools may create additional opportunities across business services, content creation and digital assistants.
A successful Muse project could strengthen Meta’s position in the AI market. It could also show how companies with large user bases can turn AI research into commercial products.
For Zuckerberg, the challenge is to move beyond developing powerful technology. Meta must build products that people and businesses use regularly and are willing to pay for.
The 2030 target offers a glimpse of the financial potential associated with Meta’s AI ambitions. But the outcome will depend on execution, customer demand and competition.
For now, the $27 billion figure should be viewed as a projection, not a guaranteed result. More details about Muse’s business model, expected revenue and valuation assumptions are needed to judge the scale of the opportunity.