Meta's new Muse Spark AI search targets $10 billion in annual revenue, entering a race that already includes OpenAI, Google, and DeepSeek.
Meta is betting artificial intelligence can crack open search advertising, a market Google has dominated for two decades. The company launched Muse Spark, its AI-powered search product, and internal projections suggest it could generate $10 billion in annual revenue, according to Benzinga.
The number is striking, but not outlandish. The worldwide advertising market has surpassed $1 trillion in annual revenue, according to Statista data cited by Digital Watch Observatory. A 1% shift toward AI search interfaces represents exactly $10 billion. Seen through that lens, Meta's projection is a minimum viable outcome, not a moonshot.
The market reaction
Meta enters a field that is rapidly becoming crowded. OpenAI's ChatGPT, now carrying 800 million monthly active users and $20 billion in annual recurring revenue, has already demonstrated that consumers will route queries through AI interfaces rather than traditional search boxes, according to Forbes. The question was never whether artificial intelligence would reshape search. It was which companies would capture the monetization.
That tension is playing out in real time. OpenAI's Sam Altman called advertising a "last resort" as recently as October 2024, while the company launched its $8-per-month ChatGPT Go tier in January to broaden paid access, as Digital Watch Observatory reported. Meta has no such reluctance. Its entire business model is built on targeted advertising, and Muse Spark slots directly into that infrastructure.
Pressure from the east is also building. DeepSeek, the Chinese AI startup whose R1 model topped Apple's U.S. App Store download charts in early 2025, raised $7.4 billion in its first funding round, pushing its valuation above $50 billion, according to IJR citing The Information. Founder Liang Wenfeng has committed to open-source model development alongside an artificial general intelligence push, keeping sustained cost pressure on every Western AI search product trying to justify a subscription or ad-funded model.
What this means for Google
Google's position is structurally uncomfortable. Its core search product is both the asset it is defending and the interface most exposed to AI disruption. The company has moved aggressively, with Google I/O 2026 running nearly two hours of wall-to-wall AI promotion, per Gizmodo. Integrating Gemini into search while protecting ad inventory is, however, an inherently contradictory goal. Fewer clicks mean fewer ads.
Meta's structural advantage is distribution. Facebook, Instagram, and WhatsApp collectively reach billions of users who already express intent inside Meta's platforms, signaling what they want to buy, watch, and do. Muse Spark, embedded directly into those surfaces, converts social intent signals into search signals without asking users to open a new tab. That is not how Google built its moat. It is, arguably, a more direct route to ad revenue than any standalone search product can offer.
Historically, incumbents in search have proven difficult to displace. Ask Jeeves, Yahoo, and Microsoft's early Bing all arrived with credible pitches and meaningful resources. None moved Google's core market share in any lasting way. What is different now is that the interface itself is changing: AI responses reduce the friction that once drove users back to familiar search boxes. Meta's bet is that it can own that new interface before Google locks it down.
Whether Muse Spark reaches $10 billion depends on factors that remain uncertain: query volume at launch, ad load tolerance, and whether Meta can resist over-monetizing early enough to damage user trust. Those are operational risks, not existential ones. The harder question, and the one Google's next earnings call will need to answer, is whether a social-media company cannibalizing search is a trend or a transition.
