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Meta Builds AI Sales Team, Seeks Accenture, Deloitte and IBM to Reach Enterprise Customers

Advertising made up 97.6% of meta’s third-quarter revenue as 2026 spending plan reached $145 billion

Meta Builds AI Sales Team, Seeks Accenture, Deloitte and IBM to Reach Enterprise Customers

Meta Platforms is forming a sales organization to market its artificial intelligence products to small and midsize businesses and pursuing relationships with Accenture, Deloitte and IBM to help sell and deploy the technology at larger companies, The Information reported Nov. 9. The publication cited a person familiar with the matter and job postings it reviewed. Meta has not publicly confirmed the reported sales structure or announced agreements with the three firms.

Key Takeaways
  • Meta Platforms builds a dedicated enterprise AI sales team to market Muse and Business Agent software to commercial clients.
  • Meta projects capital expenditures up to $145 billion in 2026, while advertising accounts for 97.6 percent of quarterly revenue.
  • The company pursues deployment partnerships with Accenture, Deloitte, and IBM following enterprise data-sharing resistance from Amazon and Booking.com.
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The move comes as Meta looks to turn its AI investments into additional sources of revenue. The company expects capital expenditures of $135 billion to $145 billion in 2026, including principal payments on finance leases, to support its AI efforts and core business. Advertising generated $63.06 billion of Meta’s $64.60 billion in third-quarter revenue, or about 97.6%.

Meta’s AI investments are already contributing to its advertising business. On the third-quarter earnings call, Chief Financial Officer Susan Li cited improvements in ranking and recommendations, along with generative AI tools for advertisers, as areas supporting the core business.

Meta Plans Sales Push for Small Businesses

The reported sales organization will target small and midsize businesses, according to The Information. Job postings reviewed by the publication include positions related to Muse Spark and its model API, as well as technical sales roles involving business messaging and AI agents. The postings indicate the products Meta wants to sell but do not establish the team’s size or final structure.

The hiring effort follows Meta’s Sept. 29 introduction of Muse for Small Business, an expansion of its personal AI agent. Muse can connect to Shopify, QuickBooks, Slack and Stripe, as well as Facebook Pages, Instagram professional accounts and Meta ad accounts. Meta says owners must approve actions before Muse publishes content, sends messages or spends money.

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Consulting Firms Could Help Reach Enterprise Buyers

The Information reported that Meta is pursuing relationships with Accenture, Deloitte and IBM to help sell and deploy its AI products at larger companies. The report did not disclose the terms, scope or timing of the proposed relationships. Meta has not announced agreements with the three firms.

The reported outreach would build on Meta Enterprise Platform, announced Sept. 28 to give businesses and developers access to Meta’s AI models, agents and developer tools. Its initial lineup includes the Muse agent, Meta Business Agent, Muse API and Muse Code. CEO Mark Zuckerberg called the platform “the next major pillar of our business.” He appointed Chirantan “CJ” Desai as chief enterprise platform officer, reporting directly to him. Desai previously served as CEO and president of MongoDB and held senior roles at Cloudflare and ServiceNow.

Messaging Offers an Existing Route Into Businesses

Meta said June 3 that more than one million businesses were using Meta Business Agent on WhatsApp and Messenger to respond to customers. The agent can answer questions, recommend products, book appointments and qualify leads, while allowing a human employee to step in when needed. That gives Meta an existing base of business users for its AI customer-service products.

Meta plans to expand Business Agent to Instagram and add paid subscription options. It separately introduced the Meta Business Agent Platform, which lets larger companies build and deploy customized agents with enterprise controls and measurement tools. Meta says the platform can connect to hundreds of systems, including e-commerce and customer-service software.

Earlier Retailer Efforts Faced Adoption Challenges

Meta’s earlier effort to deploy business agents directly on large retailers’ websites encountered resistance, The Information reported. Companies including Amazon and Booking.com were reluctant to give Meta’s systems access to customer information and wanted greater control over how agents represented their brands, answered questions and handed conversations to employees. Retailers also faced challenges connecting agents to inventory, pricing, shipping and other internal systems.

The publication reported that Meta discontinued the website-based effort in December after customers said shoppers were not interested in interacting with chatbots on retailers’ sites. The setback points to a broader obstacle in enterprise sales: companies may want to test an agent’s behavior, protect customer data and integrate it with existing systems before deploying it widely.

Meta’s current enterprise push also follows the shutdown of Workplace, its business collaboration platform. Meta announced the discontinuation in May 2024, and Workplace closed on May 31, 2026, after reaching more than 7 million paid subscribers in 2021.

On the October earnings call, Li said several new AI businesses could begin contributing incremental revenue in 2027. She said those businesses could use different models, including subscriptions, transactions, advertising and enterprise offerings. The near-term priority, she added, was building high-quality products and reaching product-market fit.

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FAQ

Frequently Asked Questions

01

What is the new enterprise AI sales initiative formed by Meta?

Meta Platforms is assembling a dedicated commercial sales organization to distribute its proprietary artificial intelligence products directly to businesses. The unit focuses on commercializing the Muse agent suite, model application programming interfaces, and automated customer-service messaging bots. The initiative represents an effort to diversify revenue beyond consumer advertising.
02

Why does this enterprise expansion matter for Meta's business model?

Advertising generated $63.06 billion, or 97.6%, of the company's $64.60 billion in third-quarter revenue. Meanwhile, Chief Financial Officer Susan Li confirmed capital expenditure projections reaching between $135 billion and $145 billion for 2026. Converting substantial datacenter and infrastructure investments into recurring enterprise software licensing fees reduces corporate reliance on digital ad budgets.
03

How will systems integrators like Accenture, Deloitte, and IBM assist Meta?

Technology consultancies provide established sales channels and systems integration capabilities needed to deploy software inside Fortune 500 networks. The Information reported that Meta is courting these three advisory giants to package Meta Enterprise Platform tools for corporate clients. Enterprise buyers rely on certified third-party integrators to audit data governance, cybersecurity controls, and legacy software interoperability.
04

What operational obstacles hindered Meta's earlier commercial agent initiatives?

Meta discontinued an earlier pilot attempting to deploy customer-facing web agents directly onto websites run by Amazon and Booking.com. Major retailers hesitated to grant external systems direct access to proprietary customer information and inventory pricing databases. Meta also shut down Workplace on May 31, 2026, illustrating persistent hurdles when marketing non-advertising software to enterprise clients.
05

How does the leadership of Chirantan Desai shape Meta's commercial strategy?

Chief Executive Officer Mark Zuckerberg recruited former MongoDB and ServiceNow executive Chirantan Desai as chief enterprise platform officer to lead the initiative. Desai oversees the commercial rollout of the Meta Enterprise Platform, managing Muse API integrations and developer developer-tooling suites. Management targets 2027 for new AI subscription and enterprise transaction models to begin generating incremental corporate revenue.

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Alex Reeve

Alex Reeve is a contributing writer for The Grey Terminal Her articles provide timely insights and analysis across these interconnected industries, including regulatory updates, market trends, token economics, institutional developments, platform innovations, stablecoins, meme coins, policy shifts, and the latest advancements in AI, applications, tools, models, and their broader implications for technology and markets.

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