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.
Key Details
Meta's business AI tools, embedded across its family of apps including Messenger, Instagram, and WhatsApp, have seen explosive growth in enterprise adoption. CEO Mark Zuckerberg noted during the call that business AIs are currently free for most businesses, but the company intends to establish a longer-term monetization model as the platform matures.
Muse Spark: Powering the Next Generation
The rapid scaling is attributed in part to Muse Spark — the first large language model released under the Meta Superintelligence Labs division. The model was designed specifically for business messaging scenarios, combining conversational fluency with structured task execution for customer service, sales, and support workflows.
What This Means for the AI Industry
Meta's milestone underscores how major tech platforms are moving beyond consumer AI experiments toward scalable enterprise products. With 10 million weekly conversations, Meta's business AI is now handling a volume comparable to some dedicated customer service SaaS platforms, suggesting that AI-native business communication is becoming mainstream.
Future Monetization
Zuckerberg hinted that Meta may eventually charge businesses for premium AI capabilities, such as advanced analytics, custom training on brand data, and priority API access. No timeline was given, but the Q1 call signals that Meta views its business AI as a significant revenue stream beyond advertising.
Sources: TechCrunch, The Verge AI Archive (April 2026)