For years, Meta Platforms, Inc. (NASDAQ:META) spent billions building AI models for its own products. Now, it’s taking its first real shot at turning those models into a standalone business. And it’s doing so with a pricing strategy that could shake up the AI industry.
Meta’s First AI Monetization Push
In a note, JPMorgan said Meta’s newly launched Model API marks the company’s first meaningful step toward external AI monetization. The public preview allows developers to build applications using Meta’s latest Muse Spark 1.1 model, opening the door to revenue streams beyond the company’s core digital advertising business.
The bigger surprise, however, may be the price.
According to JPMorgan analyst Doug Anmuth, comments from a Bloomberg interview with CEO Mark Zuckerberg suggest Meta plans to charge roughly 25% of what leading AI models from OpenAI and Anthropic cost, a pricing strategy the bank believes could help Meta quickly gain traction with developers and enterprise customers.
“API pricing at a fraction of competitors should help Meta gain external monetization scale,” Anmuth said.
A New Front In The AI Race
The aggressive pricing comes as Meta appears to be shifting from building AI solely for internal products to competing directly in the enterprise AI market.
Anmuth believes Muse Spark 1.1 represents a significant leap forward in Meta’s AI capabilities, with improvements in agentic reasoning and coding that narrow the competitive gap with OpenAI, Anthropic and Alphabet Inc‘s (NASDAQ:GOOGL) (NASDAQ:GOOG) Google. The firm said continued model improvements could mark the beginning of a broader AI product cycle for Meta.
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He also pointed to early signs of a broader enterprise strategy following the launch of Meta’s Business Agent platform and Model API, calling the move an encouraging step toward monetizing AI outside advertising.
Making A Massive AI Bet Pay Off
The monetization push also helps answer one of Wall Street’s biggest questions: how Meta plans to generate returns on its enormous AI spending.
JPMorgan expects Meta’s capital expenditures to reach $142 billion in 2026, up 104% year over year, before climbing to $202 billion in 2027, with the potential for further increases.
At the same time, Reuters recently reported that Meta plans to expand its AI compute capacity to 7 gigawatts in 2026 and 14 gigawatts in 2027, giving the company enough infrastructure to support both its own AI products and new external businesses.
Beyond selling AI models through APIs, Anmuth also sees another opportunity. Zuckerberg recently suggested excess computing capacity could eventually be rented out, giving Meta the flexibility to monetize its infrastructure if it builds more capacity than its internal AI products require.
For now, JPMorgan remains Neutral on Meta with a $725 price target, but said the company’s improving AI models, early monetization efforts and willingness to expand beyond advertising could create upside if developer adoption and enterprise demand accelerate.
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