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Can AI change Meta's ad-centric business model?

Meta is attempting to diversify its revenue streams beyond its dominant digital advertising business by launching AI-driven subscription services and exploring cloud computing opportunities. While advertising accounted for 98% of the company's $56.3 billion first-quarter revenue, CEO Mark Zuckerberg views artificial intelligence as a catalyst for new growth. This week, Meta announced the start of testing two paid tiers for its Meta AI app and website, priced at $7.99 and $19.99 monthly, initially available in Singapore, Guatemala, and Bolivia. These offerings coincide with the rollout of premium subscription plans for Instagram, Facebook, and WhatsApp, as well as enhanced business verification services. At its annual shareholder meeting, Zuckerberg indicated that a cloud computing business is a serious consideration, potentially positioning Meta against industry giants Amazon, Microsoft, and Google. He stated that entry into this sector would depend on whether the company develops excess capacity following its massive investments in AI infrastructure. Meta recently increased its 2026 capital expenditure guidance for AI to between $125 billion and $145 billion, reflecting the scale of its commitment. Despite Zuckerberg's optimism, analysts remain cautious about Meta's ability to replicate its advertising success in other sectors. Shashi Bellamkonda of Info-Tech Research Group noted that Meta has historically focused almost exclusively on direct-to-consumer social products, leaving it with little enterprise experience. He argued that building a cloud business requires significant infrastructure, manpower, and operational processes that Meta currently lacks, pointing out that the company has recently reduced its workforce through layoffs. Similarly, Forrester analyst Naveen Chhabra observed that previous attempts by telecommunications companies to leverage data centers for cloud services have largely failed, suggesting Meta faces similar hurdles in building the necessary technology stack from scratch. However, some analysts see potential in the subscription model. Researchers at Wolfe Research estimate that Meta AI subscriptions could contribute up to $3 billion to total revenue by 2027, growing to $16 billion by 2030. They believe Meta's scale and leadership in AI could eventually allow it to surpass reliance on digital ads. Max Willens of eMarketer suggested that these services might succeed if they function as supplements to advertising rather than standalone businesses, potentially driving higher engagement and content creation on Meta's platforms. While Meta declined to comment on specific future strategies, the stock rose nearly 4% following the announcement of the new subscriptions, signaling investor interest in the company's pivot toward AI monetization.

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