META 0.00%↑ Sets Up an Enterprise Platform: Can AI Become a New Source of Revenue?
On September 28, Meta announced the creation of the Meta Enterprise Platform and brought in Chirantan “CJ” Desai, former CEO of MongoDB, as its first Chief Enterprise Platform Officer, reporting directly to Mark Zuckerberg.
The new platform consolidates AI products such as Muse, Meta Business Agent, Muse API, and Muse Code, together with models and infrastructure capabilities, to offer AI services to enterprises and developers. The direction Meta has set is straightforward: turn the AI capabilities it has invested in for years into products that businesses can deploy, use, and pay for.
The weight of this move becomes clearer when viewed against Meta’s operating results this year.
According to its financial report, in the second quarter of 2026 Meta’s revenue was $60.801 billion, up 28% year over year. Advertising revenue was $59.363 billion, making up the vast majority of quarterly revenue. Over the same period, costs and expenses reached $42.026 billion, up 55%, while operating income was $18.775 billion, down 8%, with the operating margin falling from 43% to 31%. Capital expenditures for the quarter reached $31.08 billion, and the company expects full-year capital expenditures of $130 billion to $145 billion.
The advertising business remains strong, while AI spending is expanding rapidly. The question therefore becomes more specific: after Meta continues to build out models, data centers, agents, and AI hardware, can AI itself become a new source of revenue, beyond continuing to improve advertising efficiency?
The creation of the Meta Enterprise Platform is the first time this question has been put on the table as a standalone business.
