Meta launches new enterprise business to sell its AI tools to other companies
Meta has officially launched a new enterprise business unit to sell its AI products and services to other companies, a move the company frames as a way to profit from its massive AI investments.

Meta has announced the creation of a new business division called Meta Enterprise Platform, aimed at selling the company's artificial intelligence products and services to other businesses. CEO Mark Zuckerberg announced the move in a Facebook post, describing it as the next major pillar of the company's business.
To lead the new division, Meta has appointed Chirantan "CJ" Desai, who previously led the database company MongoDB, to the newly created role of Chief Enterprise Platform Officer.
Groundwork already underway
Over the past several months, Meta has been preparing for this shift by rolling out a range of AI-focused tools, including business agents and a coding platform. Zuckerberg said the company will initially focus on bringing its full technology stack to businesses and developers, including the Muse agent, Meta Business Agent, Muse API and Muse Code, to help them grow. He said the new platform will draw on strengths few other companies have: advanced models, leading agents, large-scale infrastructure, and years of experience working closely with businesses.
There have also been reports that Meta has considered leasing parts of its data center infrastructure to other companies, though no concrete plans have been announced.
Justifying massive AI spending
The new enterprise business could help Meta generate returns on its enormous AI investments. Zuckerberg has previously said he expects the company to spend $600 billion on AI over the next two years, with much of that funding new data centers. That level of spending has raised questions about how Meta intends to turn a profit from its AI efforts.
So far, the company has offered AI subscriptions targeted at consumers and small business owners, but has not yet shown that Facebook and Instagram users are willing to pay for them at scale. A dedicated enterprise business, by contrast, could prove considerably more profitable.

