Meta's business AI reaches 10 million conversations per week

Meta reported on April 30 that its business AI assistant handles 10 million conversations per week — up from one million at the start of 2026. The assistant, powered by the Muse Spark language model, is expanding from the US into EMEA, APAC, and LATAM. Over eight million advertisers are already using at least one of Meta’s generative AI ad creative tools, and video generation features in those tools showed 3% higher conversion rates in early tests.

The 10x growth in three months happened while the tools remain free for small businesses. Mark Zuckerberg acknowledged this is a temporary state: “as we make more progress, we expect that we will also work towards establishing a longer-term monetization model.” The sequencing is deliberate — build scale using free access, generate usage data, then price against demonstrated value. The conversion rate data from ad creative tools is the kind of metric that makes the internal monetization argument credible.

Meta Ads AI Connectors are also entering open beta this week, allowing advertisers to connect their Meta ad account directly to an AI agent and interact with campaign data, ad sets, and diagnostics in plain language. For product managers building on or integrating with Meta’s advertising platform, this represents a meaningful shift in how the API layer is expected to be used.

Why it matters for product managers

The adoption curve here is a real-world case study in free-tier growth strategy for AI products. Ten times weekly conversations in ninety days, driven by tools that cost users nothing, demonstrates how quickly usage can accumulate when the friction to try is near zero. The harder question — which Meta is now facing — is how to convert that usage into revenue without disrupting the adoption curve. For PMs building AI-assisted products in B2B or SMB markets, the Meta numbers give concrete scale to what that lifecycle looks like.