Meta Launched New Enterprise AI Business Unit

The company has appointed former MongoDB executive Chirantan Desai to lead a strategy focused on non-advertising revenue.

Updated on Sept. 28, 2026 in Artificial Intelligence

Bold vector editorial illustration of a modular server rack array, representing large-scale enterprise artificial intelligence infrastructure.
Meta has launched a new enterprise AI business unit led by former MongoDB executive Chirantan Desai, signaling a strategic shift toward recurring software revenue. AI Illustration. Upload story photo >

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Meta has announced the creation of a dedicated enterprise AI business unit, shifting focus toward developing new revenue streams beyond its core advertising model. The announcement coincided with the hiring of former MongoDB President and CEO Chirantan Desai to lead the new initiative.

Why it matters

Meta is seeking to diversify its financial foundations by leveraging its massive AI infrastructure for enterprise applications. This move marks a pivot to establish AI services as a major revenue engine as the company invests heavily in computing capacity.

Meta has increased its 2026 capital expenditure guidance to $130 billion, up from a previous target of $125 billion, to support its AI infrastructure. This capacity currently powers newly released tools like the Muse Code beta and Business Agent features for messaging platforms.

The players

Meta

A global technology conglomerate specializing in social networking, digital advertising, and large-scale AI infrastructure development.

Chirantan Desai

A seasoned technology executive and former President and CEO of MongoDB who previously held leadership roles at Cloudflare and ServiceNow.

MongoDB

A database platform provider that recently rehired former CEO Dev Ittycheria following the departure of Chirantan Desai.

The details

The enterprise unit aims to commercialize Meta’s internal artificial intelligence infrastructure, which encompasses the hardware and software systems required to train and deploy large language models. The strategy leverages existing assets such as the Muse Code beta, a generative AI tool for programming tasks, and Business Agent features for WhatsApp and Messenger that automate customer interactions. Meta plans to integrate these proprietary tools into corporate environments to generate recurring revenue independent of ad spend.

Timeline

  1. June 2026: Meta rolled out Business Agent features for WhatsApp and Messenger.

  2. September 22, 2026: The company launched the Muse Code beta.

  3. September 28, 2026: Chirantan Desai resigned from MongoDB as Meta announced the new unit.

The Tech Race

Meta’s move into enterprise services signals a direct attempt to challenge established cloud providers by monetizing its proprietary AI stack. This expansion tracks alongside the company's aggressive 2026 infrastructure spending as it seeks to capture market share in enterprise-grade software.

Enterprise customers can expect increased access to Meta's automated messaging and coding tools as the new unit rolls out its product suite. While specific subscription models remain unannounced, these tools are designed to integrate into existing workflows for businesses currently using WhatsApp and Messenger.

The takeaway

Meta is betting that its internal AI capabilities can become a third pillar of business alongside its existing social and ad platforms. Watch for upcoming announcements regarding the pricing or availability of the enterprise-grade version of Muse Code to gauge the speed of this pivot.

Further reading

For more on the current landscape of commercial machine learning tools, see the latest developments in Artificial Intelligence.

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