• Meta is assembling a dedicated sales team and consulting partnerships to drive adoption of its AI tools among large enterprises, according to a report.
  • The move builds on Meta's September launch of the Enterprise Platform and an earlier embedded-engineer strategy aimed at helping companies deploy its AI models.
  • The initiative could open a new recurring-revenue stream, but Meta has yet to disclose enterprise revenue and faces stiff competition from rivals like OpenAI.

Meta Platforms (NASDAQ:META) is taking a more aggressive approach to selling artificial intelligence to big businesses. The company is building a dedicated enterprise sales team and forming consulting partnerships to persuade large corporations to adopt its AI tools, according to a report.

The effort represents a formalization of Meta's enterprise AI ambitions. In September, the company launched the Meta Enterprise Platform, led by Chief Enterprise Platform Officer Chirantan Desai, to bring its Muse models, Meta Business Agent, and Muse Code to corporate customers. That followed an internal memo in May from senior executive Naomi Gleit outlining an "Enterprise Solutions" organization that would embed engineers and product managers inside large customers to help them adopt Meta's AI tools. The latest move adds a sales force and consulting partners to complement that implementation-led approach.

Meta's enterprise push comes as the company pours tens of billions of dollars into AI infrastructure. In its third-quarter earnings release, Meta reported capital expenditures of $34.91 billion, including finance-lease principal, and negative free cash flow of $2.12 billion. The company forecasts 2026 capital expenditures of $135 billion to $145 billion. While advertising remains overwhelmingly its largest business—generating $63.06 billion of its $64.60 billion in quarterly revenue—Meta is seeking new sources of recurring revenue to justify its spending.

The strategy mirrors a broader industry shift toward helping customers implement AI. OpenAI has also been hiring technical consultants to develop custom corporate applications and agents, according to reports. Model quality alone is not enough to ensure adoption; customers need help integrating AI into their workflows and ensuring compliance with regulations.

Regulatory requirements, particularly in the European Union, are adding urgency. The EU's AI Act imposes documentation, copyright, and transparency obligations on general-purpose AI providers, with additional requirements for models posing systemic risk. Enforcement powers began applying in August 2026. These rules make compliance documentation and implementation support commercially important for multinational customers.

Meta's enterprise efforts are still in their early stages. The company has not disclosed enterprise revenue, and analysts at Baird expect AI improvements to Meta's advertising platform to remain the larger near-term contributor to results. Morningstar (NASDAQ:MORN) recognizes the potential but does not include enterprise revenue in its model, cautioning that Meta lacks an established enterprise-business track record.

A Meta spokesperson did not respond to a request for comment on the reported sales team and partnerships.

Correction: An earlier version of this article misstated the quarter in which Meta reported negative free cash flow. It was the third quarter of 2026, not the second.