Meta's model lineup is the foundation of its new app strategy. The Llama 4 family—including the open-weight Scout (109 billion total parameters, 17 billion active) and Maverick (400 billion total parameters, 17 billion active) variants—powers multimodal assistants across web, mobile, and social platforms . These models handle text and image input natively, enabling features like the Meta AI assistant embedded in WhatsApp, Instagram, Messenger, Facebook, and the standalone app launched in April 2025 .
In July 2026, Meta also made its proprietary Muse Spark 1.1 model available to consumers through the Meta AI chatbot, supporting prompts with up to 1 million tokens . Meanwhile, the company is developing next-generation proprietary models codenamed Avocado (an LLM) and Mango (a multimedia file generator), expected to launch in 2026 .
This rapid iteration has already produced several new apps: the standalone Meta AI assistant, an app for Marketplace sellers, one for Facebook Groups, a "vibe-coded" gaming-like app, and an Instagram photos app . Zuckerberg argued that AI reduces development friction, allowing Meta to attempt launches it wouldn't have tried before .
Meta's management cites concrete operational metrics to support the strategy, even as infrastructure spending squeezes cash flow.
Meta says its AI investments are directly improving content recommendations and ad targeting. Management reports that Advantage+ advertising products surpassed a $75 billion annual revenue run rate, and AI business agents and consumer assistants continue to expand .
Despite the strong top-line numbers, the financial strain is severe and visible:
Meta's stock dropped about 10% in after-hours trading following the earnings release, as investors weighed the CapEx trajectory and compressed margins against the growth story .
Zuckerberg framed the spending as a necessary investment in future growth. "AI is accelerating our core business today, powering our next generation of products, and opening the door to entirely new enterprise opportunities," he said on the call . The company has also hinted at launching a cloud business . However, about 98% of Meta's revenue still comes from its traditional advertising business, and analysts have described the strategy as "throwing spaghetti at the wall" .
Sell-side projections from earlier in 2026 anticipated Meta's free cash flow could turn negative by 2027 if spending continues at this pace . For now, the advertising engine is humming, but the question of when the AI investment will deliver its own direct financial returns remains unanswered.