Meta AI

Meta AI products are distributed across Meta apps used by billions of people; Meta reports 3.2B daily users across its social apps and large-scale AI assistant deployment.

Meta AI products are distributed across Meta apps used by billions of people; Meta reports 3.2B daily users across its social apps and large-scale AI assistant deployment.

Meta reported hundreds of thousands of MTIA chips deployed in production, with newer generations expanding from recommendation workloads into general GenAI and GenAI inference.

Meta reported hundreds of thousands of MTIA chips deployed in production, with newer generations expanding from recommendation workloads into general GenAI and GenAI inference.

Meta reported 3.60 billion Family daily active people in June 2026, creating unusually large-scale deployment environments for AI systems.

Meta develops Llama open models and the Muse family of agentic multimodal models, including Muse Spark powering Meta AI and Muse personal agents.

Meta develops Llama open models and the Muse family of agentic multimodal models, including Muse Spark powering Meta AI and Muse personal agents.

Meta AI 2026 research covered multimodal generation, coding agents, assistive robotics, brain-computer interfaces, world-scale environmental mapping, safety and evaluation.

Meta launched Muse as a personal AI agent and deployed Muse Spark models into Meta AI products, including agentic planning, app connectivity and task execution.

Meta AI continued releasing frontier research and model systems in 2026, including Muse Spark 1.1, Muse Image, Muse Video and work toward personal superintelligence.

Meta expanded the Muse family through 2026 across multimodal reasoning, image generation, video generation, coding agents and personal-agent capabilities, including Muse Spark 1.1, Muse Spark 1.2, Muse Spark 1.3, Muse Image and Muse Video.

Meta launched Muse as a personal AI agent and deployed Muse Spark models into Meta AI products, including agentic planning, app connectivity and task execution.

Meta combines hyperscale compute, global product distribution, frontier-model research, large-scale recruiting and Meta Superintelligence Labs resources.

Meta combines hyperscale compute, global product distribution, frontier-model research, large-scale recruiting and Meta Superintelligence Labs resources.

Meta projected 2026 capital expenditures of $130-145 billion, with infrastructure investment supporting Meta Superintelligence Labs and future AI capacity.

Meta projected 2026 capital expenditures of $130-145 billion, with infrastructure investment supporting Meta Superintelligence Labs and future AI capacity.

Meta reported Q2 2026 revenue of $60.80 billion and $90.26 billion in cash, cash equivalents and marketable securities.

Foundation models, ranking, multimodal systems, agents and hyperscale infrastructure skills transfer exceptionally broadly across frontier AI and major technology employers.

Foundation models, ranking, multimodal systems, agents and hyperscale infrastructure skills transfer exceptionally broadly across frontier AI and major technology employers.

Meta AI work spans foundation models, multimodal generation, recommender systems, custom AI silicon, robotics, safety and large-scale production infrastructure.

Meta AI work spans foundation models, multimodal generation, recommender systems, custom AI silicon, robotics, safety and large-scale production infrastructure.