Meta disclosed during its Q1 2026 earnings call that its business AI tools now facilitate approximately 10 million conversations per week as of late March — a tenfold increase from 1 million at the start of the year. The company is deploying its new Muse Spark large language model, developed under Meta Superintelligence Labs, to power these products and is exploring monetization strategies for the future.

The Scale-Up

The 10x growth in weekly conversations represents a meaningful shift in how businesses are integrating Meta's AI offerings into their operations. Unlike consumer-facing AI assistants, Meta's business AI tools are designed for enterprise workflows — customer service automation, sales support, internal knowledge retrieval, and operational decision-making.

Meta CEO Mark Zuckerberg described the business AI segment as "one of the most unexpectedly scaling products in Meta's history," noting that the growth rate outpaced internal projections by a significant margin. The company has not yet disclosed revenue figures for the segment.

Muse Spark Infrastructure

The Muse Spark model — developed by Meta Superintelligence Labs, the company's dedicated frontier AI research division — is at the core of the scaled offering. Muse Spark was designed specifically for business applications requiring consistent factual grounding, multi-turn conversation memory, and structured output generation.

The model distinguishes itself from general-purpose frontier models by prioritizing predictability and control in enterprise settings, where hallucinations and uncontrollable outputs carry higher operational risk than in consumer applications.

What This Means for the AI Market

Meta's rapid scale-up in business AI puts pressure on established enterprise AI providers including IBM Watson, Microsoft Copilot, and Salesforce Einstein. Meta's approach — leveraging its existing social graph data and distribution through WhatsApp, Instagram, and Facebook Messenger — gives it reach that standalone AI platforms cannot easily replicate.

The 10 million weekly conversations milestone is still small relative to the billions of daily messages flowing through Meta's family of apps, suggesting significant headroom for continued growth if enterprise adoption deepens.